OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION. By Yanlin GE, Lingen CHEN *, and Fengrui SUN

Size: px
Start display at page:

Download "OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION. By Yanlin GE, Lingen CHEN *, and Fengrui SUN"

Transcription

1 OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION By Yanlin GE, Lingen CHEN *, and Fengrui SUN A Diesel cycle heat engine with internal and external irreversibilities of heat transfer and friction, in which the finite rate of combustion is considered and the heat transfer between the working fluid and the environment obeys Newton s heat transfer law [ q ( T) ], is studied in this aer. Otimal iston motion trajectories for minimizing entroy generation er cycle are derived for the fixed total cycle time and fuel consumed er cycle. Otimal control theory is alied to determine the otimal iston motion trajectories for the cases of with iston acceleration constraint on each stroke and the otimal distribution of the total cycle time among the strokes. The otimal iston motion with acceleration constraint for each stroke consists of three segments, including initial maximum acceleration and final maximum deceleration boundary segments, resectively. Numerical examles for otimal configurations are rovided, and the results obtained are comared with those obtained when maximizing the work outut with Newton s heat transfer law. The results also show that otimizing the iston motion trajectories could reduce engine entroy generation by more than %. This is rimarily due to the decrease in entroy generation caused by heat transfer loss on the initial ortion of the ower stroke. Key words: finite rate of combustion, Newton s heat transfer law, irreversible Diesel cycle heat engine, minimum entroy generation, otimal iston motion trajectories, finite time thermodynamics. 1. Introduction Since the efficiency bound of a Carnot engine at maximum ower outut was derived by Curzon and Ahlborn [1], much work [-14] has been erformed in the field of finite-time thermodynamics. The study on the otimal aths of iston motion for internal combustion engines with different otimization objectives and heat transfer laws mainly includes the following two asects The otimal ath with Newton s heat transfer law [ q ( T) ] Mozurkewich and Berry [15, 16] investigated a four stroke Otto cycle engine with losses of iston friction and heat transfer, in which the heat transfer between the working fluid and the cylinder wall obeys Newton s heat transfer law [ q ( T) ]. The otimal iston trajectory for maximizing the 1

2 work outut er cycle was derived for the fixed total cycle time and fuel consumed er cycle. The results showed that otimizing the iston motion could imrove engine efficiency by nearly 1%. Hoffmann and Berry [17] further considered the effect of the finite combustion rate of the fuel on the erformance of engines, and studied the otimal iston motion of a four stroke Diesel cycle engine for maximum work outut with losses of iston friction and heat transfer, in which the heat transfer between the working fluid and the cylinder wall also obeys the Newton s heat transfer law. Blaudeck and Hoffman [18] studied the otimal ath of a four stroke Diesel cycle with the Newton s heat transfer law by using Monte Carlo simulation. Teh et al. [19-1] investigated the otimal iston motions of internal combustion engines for maximum work outut [19] and maximum efficiency [, 1] when the chemical reaction loss and heat leakage are the main losses of internal combustion engine. By excluding the entroy generation due to friction loss, heat transfer loss and ressure dro loss in ractical internal combustion engine, Teh et al. [, 3] isolated combustion as the sole source of entroy generation and investigated the otimal iston motion of an adiabatic internal combustion engine for minimum entroy generation [] as well as the otimal iston motion for minimum entroy generation with fixed comression ratio [3]. Based on the heat engine models established in Refs. [15, 16], Ge et al. [4] further considered the entroy generation which was not included in Refs. [, 3], derived the otimal iston motion trajectories of Otto cycle for minimizing entroy generation due to friction loss, heat transfer loss and ressure dro loss when the heat transfer between the working fluid and the environment obeyed Newton s heat transfer law, and comared the results obtained with those obtained for maximizing the work outut with Newton s heat transfer laws [15, 16]. Band et al [5, 6] studied otimal configuration of irreversible exansion rocess for maximum work outut obtained from an ideal gas inside a cylinder with a movable iston when the heat transfer between the gas and the bath obeyed Newton s heat transfer law, and discussed the otimal configurations of the exansion subjected to eight different constraints, including constrained rate of change of volume, unconstrained final volume, constrained final energy and final volume, constrained final energy and unconstrained final volume, consideration of iston friction, consideration of iston mass, consideration of gas mass and unconstrained total rocess time, resectively. Salamon et al [7] and Aizenbud and Band [8] used the results obtained in Refs. [5, 6] to further investigate the otimal configurations of the exansion rocess for maximizing ower outut [7] and the otimal configurations for maximizing work outut with fixed ower outut [8] with Newton s heat transfer law. Aizenbud et al [9] and Band et al [3] further alied the results obtained in Refs. [5, 6] to otimize the configurations of internal [9] and external [3] combustion engines with Newton s heat transfer law, resectively. 1.. The effect of heat transfer law on the otimal ath of cycle In general, heat transfer is not necessarily Newtonian and also obeys other laws; heat transfer law has the significant influence on the otimal configuration of heat engine cycles. Burzler and 4 Hoffman [31, 3] considered the effects of convective-radiative heat transfer law [ q ( T) + ( T )] and non-ideal working fluid, and derived the otimal iston motion for maximizing ower outut during the comression and ower strokes of a four stroke Diesel engine. Xia et al [33] studied the otimal iston trajectory of the Otto cycle engine for maximizing work outut with fixed total cycle 1

3 1 time, the fixed fuel consumed er cycle and linear henomenological heat transfer law [ q ( T )] in the heat transfer rocess between working fluid and the environment, and the results showed that otimizing the iston motion could imrove work outut and efficiency of the engine by more than 9%. Based on the heat engine models established in Refs. [15, 16, 33], Ge et al [4, 34] derived the otimal iston motion trajectories of Otto cycle for minimizing entroy generation due to friction loss, heat transfer loss and ressure dro loss when the heat transfer between the working fluid and the environment obeys linear henomenological [4] and radiative [34] heat transfer laws, and comared the results obtained with those obtained for maximizing the work outut with Newton s [15, 16] and linear henomenological [33] heat transfer laws. On the basis of Ref. [6], Chen et al [35] determined the otimal configurations of exansion rocess of a heated working fluid in the iston cylinder with the linear henomenological heat transfer law. Song et al [36] and Chen et al [37] used the results obtained in Ref. [35] to otimize the configuration of external [36] and internal [37] combustion engines with linear henomenological heat transfer law. Song et al [38], Ma et al [39] and Chen et al [4] determined the otimal configurations of exansion rocess of a heated working fluid in the iston cylinder with the generalized radiative n [ q ( T )] [38], Dulong-Petit [ q ( T) 5/4 ][39] and convective-radiative [4] heat transfer laws, obtained the first-order aroximate analytical solutions about the Euler-Lagrange arcs by means of Taylor series exansion. Ma et al [41, 4] reeated the investigation on the otimal configurations of exansion rocess with the generalized radiative heat transfer law by means of elimination method. Ma et al [41, 43] used the results obtained in Refs. [41, 4] to otimize the configuration of external 4 combustion engine with radiative [ q ( T )] [41, 43], generalized radiative [43] and convectiveradiative [41] heat transfer laws, resectively. Chen et al [44] considered the effects of iston motion on the heat conductance, established a model closer to ractical exansion rocess of heated working fluid with the generalized radiative heat transfer law and time-deendent heat conductance, and determined otimal configuration of exansion rocess for maximum work outut. Based on Refs. [17, 4], this work studies the otimal iston trajectory of the Diesel cycle engine for minimizing entroy generation er cycle with the finite rate of combustion, the fixed total cycle time, the fixed fuel consumed er cycle and Newton s heat transfer law in the heat transfer rocess between working fluid and environment, and the results obtained are comared with those obtained for maximizing the work outut with the Newton s heat transfer law [17].. Diesel cycle engine model In order to analyze ractical Diesel cycle, some assumtions are made: (1) the fixed fuel consumed er cycle is equivalent to the given initial working fluid temerature on the ower stroke; () the working fluid in the cylinder consists of an ideal gas which is in internal equilibrium all the time; and (3) the major losses in real internal combustion engine and the iston motion of the conventional engine are simlified and described qualitatively and quantitatively below according to Refs.[15-18, 4, 33, 45, 46]..1. Finite combustion rate [17]

4 In the modern Diesel cycle engine, fuel is injected into the cylinder at the end of the comression stroke and evaorates in the hot comressed air. After a short delay, art of the injected fuel is ignited and burned raidly. The remaining fuel burns relative slowly as it evaorates and diffuses into oxygen-rich regions where combustion can be sustained. In moderately and heavily loaded engines, the combustion rocess will continue until the end of the ower stroke. The finite combustion rate is one of the main features of a Diesel engine and can be aroximated by the following time-deendent function which describes the extent of the reaction [17] Gt ( ) = F+ (1 F)[1 ex( t/ t b )] (1) where F is the fraction of the fuel charge consumed in the initial instantaneous burn, and t b is the burn time during which most of the combustion occurs. For the corresonding heating function ht (), one has ht () = NQGt &() () c where Q is the heat of combustion er molar fuel-air mixture charge. Q c c is assumed to be temerature indeendent. The mole number N and heat caacity C are assumed to be influenced by the extent of the combustion reaction within the iston chamber. This deendence can be exressed as [17] N = Nt () = N+ ( N N) Gt () (3) i f i C = C() t = C + ( C C ) G() t (4) i f i The subscrits i and f refer to conditions at G = and G = 1, resectively. Furthermore, the heat caacities of the reactants and roducts are temerature indeendent... Loss terms [15-18, 4, 33, 45] For the Diesel cycle, the major losses are as follows: (1) friction, () ressure dro, (3) heat leakage, (4) fuel injection, (5) incomlete combustion, and (6) exhaust blowdown. The non-negligible losses from this list are cast into simlified functional forms and incororated into this model. This aroach reroduces the Diesel engine s salient features in a flexible, easily deciherable model...1. Friction loss Friction force is assumed to be roortional to the iston velocity v [15-18, 4, 33], the frictional work W in a stroke taking time t is exressed as f W t = µ v dt f (5) o Due to greater ressure on the iston, the value of friction coefficient is usually about twice as large on the ower stroke as on the other strokes. If the friction coefficient on the nonower stroke is µ, the friction coefficient on the ower stroke will be µ [15-18, 4, 33].... Pressure dro 3

5 There is an additional friction-like loss term on the intake stroke. This is due to the ressure differential that develos, due to viscosity, as the gas flows through the inlet valve. The ressure differential is roortional to velocity, so it may be included in the friction term for the intake stroke, and then the friction coefficient on the intake stroke is assumed to be 3µ [15-18, 4, 33]...3. Heat leakage Loss due to heat transfer from the working fluid to cylinder walls tyically cost about 1% of the total ower [45]. The same as Refs. [15-18, 4], the heat transfer between the working fluid and the environment obeys Newton s heat transfer law. The heat transfer exression used here assumes that the rate is linear in the inside surface area of the cylinder and in the difference between the temerature of working fluid T and that of the cylinder wall T. T is assumed to be a constant. w w For heat transfer coefficient k and cylinder diameter b, the rate of heat leakage at osition X (see fig. 1) is Q & = kπb( b + X)( T T w ) (6) Figure 1. Conventional iston linkage. The effect of heat transfer is only imortant on the ower stroke. Since the average value of ( T T w ) is much smaller on the nonower stroke, the rate is negligible on them...4. Incomlete combustion If the exhaust valve oens before the burning fuel-air mixture reaches chemical equilibrium, there can be minor efficiency losses even in well-adjusted engines oerating at normal loads. These losses have been included in the model by reresenting the combustion reaction as the exonential function give exlicitly in eq. (1) [17]...5. Other losses 4

6 Besides, there are effects of the time loss due to beginning the exansion stroke while combustion is still taking lace and the exhaust blowdown due to oening the exhaust valve before comletion of the exansion stroke. They are so small comared with the heat leakage and friction losses that they are all negligible [4]..3. Piston motion of a conventional engine [46] To determine imrovements resulting from the otimized iston motion, work outut and engine efficiencies are calculated for conventional iston trajectories. Piston motion within a conventional Diesel engine can be described by 1 π X sinθ rcosθ r v = X& = 1 + [1 ( ) sin θ ] (8) τ l l As shown in fig. 1, X denotes iston osition, X = r, and θ = 4πt τ. X = X when t =. The four-stroke cycle eriod is τ. Pure sinusoidal iston motion occurs when rl=. Tyical r/ l is between.16 and.4. Varying the value of r/ l has little effect on the results. 3. Otimization rocedure The otimization roblem is minimizing the entroy generation er cycle for fixed fuel consumtion and total cycle time. Thus, the only difference between the otimized engine and the conventional one is in the iston motion. The otimization rocedure consists of two arts. The first is to determine the otimal trajectory on each stroke. The second is to otimize the distribution of the total cycle time among the strokes. A real engine includes ower and nonower strokes. Comared with the ower stroke, the heat leakage is negligible on the nonower strokes which include intake, comression and exhaust strokes. Therefore, the otimization of these strokes is relatively simle, and the three strokes can be treated together to simlify the otimization roblem. For the three nonower strokes, at first, the iston ath on each stroke is determined with the objective of minimum entroy generation, resectively, and then the time allocation among three non-ower strokes for a fixed total time t is determined with the objective of minimum total entroy generation S n t. While for the n ower stroke, the iston ath is determined with the objective of minimum entroy generation S t when heat transfer loss is considered. For the total cycle, the distribution of the total cycle time τ between the total time t of nonower strokes and the ower stroke time t is determined with the n objective of minimum entroy generation S er cycle Otimization for nonower strokes The otimal rocess of nonower strokes is the same as Ref. [4]. After otimization, the total entroy generation on nonower strokes is S = µ a [ t (1 + y )(1 y ) + 3 t (1 + y )(1 y ) ] (1 T ) (9) tn 3 3 m For a given value of nonower stroke time n t, the otimal allocation of the nonower stroke time is determined by following two equations 5

7 t = t + t (1) n 1 t (1 y ) = 3 t (1 y ) (11) 1 1 where 1/ 1 y = (1 4 X / a t ), y = (1 4 X a t ) and a 1 m 1 m m is the value of constrained acceleration. For the case without constraint on acceleration, i.e. a, eq. (11) becomes m t = 3t (1) 1 And the total entroy generation, from eq. (9), is S = µ + X t T (13) tn ( 3) ( ) ( ) n 3.. Otimization for ower stroke Different from the otimization of the nonower strokes, in which only the friction loss is considered, the otimization of the ower stroke will consider the effects of heat transfer on the otimal iston trajectory. So, the entroy generation in ower stroke is due to friction loss and heat transfer loss, and which can be exressed as S f, t and S qt,, resectively. t µ vdt S = (14) f, t T t kπ b( b + X)( T T ) dt w S = (15) qt, T Power stroke with unconstrained acceleration In order to obtain the minimum entroy generation during the ower stroke, the corresonding otimization roblem becomes t [ µ + π ( + )( )] w v k b b X T T dt min S = S + S = (16) t f, t q, t T In terms of the first law of thermodynamics, one has 1 NRTv b T & = [ + kπb ( + X )( T Tw ) h ( t )] NC X (17) where R is the gas constant. The rate of heat roduced during the combustion is described by the heating function NQ (1 F) c t ht () = ex( ) (18) t t b b Furthermore, there is X& = v (19) The Hamiltonian for this roblem is µ v + kπb( b/ + X)( T T ) w λ1 NRTv b H = [ + kπb( + X)( T T ) h( t)] + λ v () w T NC X 6

8 The canonical equations are H b λ 1 λ Rv & 1 1 = = kπb( + X)( ) + 1 T NC T CX (1) λ & H λ 1 λ RTv λ = = k π b ( T T )( ) () 1 1 w X NC T CX The extremum condition is H / a =, one has T ( λ RT λ CX) 1 v = (3) 4µ CX In solving these equations, there are four boundary conditions to be satisfied. They are T () T P =, X() = X, X( t ) = X, λ ( ) = (4) 1 where T is the initial temerature of working fluid on the ower stroke. Eqs. (17), (19), (1) and () determine the otimal solution of this roblem, which could be solved for the minimum value of S t as a function of time and the otimal ath of iston motion, i.e. otimal relationshi between iston velocity v and time t when the ower stroke time t is given. Furthermore, the initial osition of the iston must be constrained, and the iston osition during the whole ower stroke should satisfy the following equation X X (5) Without the above constraint the iston will move above the to dead center. After constrained the iston osition, the otimal ath of the iston with unconstrained acceleration on the ower stroke is a two branch ath. For t t, the velocity of iston is d vt () = (6) where t is the motion delay time. During the motion delay time t d d, the iston osition will not satisfy the eq. (5), and the iston must kee still. While for t t t, the iston osition will satisfy d the eq. (5), and the velocity of iston will be eq.(3). f t 3... Power stroke with constrained acceleration For the case with constrained acceleration, the iston velocity is required to be zero at both start and end oints and the acceleration is constrained to lie within finite limits. The otimization objective is still to minimize the function given by eq. (16), the differential constraints on the state variables T and X remain as given in eqs. (17) and (19), resectively. Besides, the deendence of the state variable v on the control variable a and the inequality constraints on variable a are given by v& = a (7) a a a (8) m 7 m The Hamiltonian for this roblem is µ v + kπb( b/ + X)( T T ) w λ1 NRTv H = [ + kπb( b/ + X)( T T ) h( t)] + λ v+ λ a (9) w 3 T NC X The canonical equations conjugate to eqs. (17), (19) and (7) are eqs. (1), () and & H 4µ v λ RT 1 λ = = + λ 3 v T CX (3) The extremum condition is H / a =, one has λ = (31) 3

9 If eq. (31) holds for more than isolated oints between a and a m m, one also has & λ = (3) 3 Eliminating λ by using eqs. (3) and (3), the exression of the velocity is the same as eq. 3 (3). On this basis one can conclude that the otimal trajectory with acceleration constraint on the ower stroke has two cases. The first case is that when the iston motion exists motion delay time t, d the otimal trajectory is a three-branch ath: (1) From the initial time t = to the motion delay time t = t d, the iston kees still, and the iston osition is the initial osition. () From the motion delay time t = t to the switch time d t = t, the iston trajectory satisfies the system of eqs. (17), (19), (1) and (). (3) From the switch time t = t to the ower stroke time t = t, the iston trajectory is the maximum deceleration segment. The second case is that when the iston motion does not exist motion delay time t d, i.e. the iston osition is X X during the whole ower stroke time, the otimal trajectory is also a three-branch ath, i.e. two boundary segments (maximum acceleration and maximum deceleration) connected by a segment which satisfies the system of eqs. (17), (19), (1) and (). For these equations, only numerical results could be obtained. 4. Numerical examles and discussions 4.1. Determination of the related constants and arameters Table 1. Constants and arameters used in the calculations [14] Mechanical arameters initial osition X =.5cm final osition X f = 8cm cylinder bore b= 7.98cm cycle time τ = 33.3ms corresonding to 36 rm Thermodynamic arameters number of moles of gas comression stroke N =.144, ower stroke N i f =.157 initial temerature comression stroke T = 39K, ower stroke T = 36K C P constant volume heat caacity comression stroke C =.5R, ower stroke C i f = 3.35R cylinder wall temerature T = 6K w Loss term coefficients friction coefficient µ = 1.9 kg / s heat transfer coefficient 1 k 135W K = m Heat function arameters exlosion fraction F =.5 burn time t =.5ms b 4 heat of combustion Q = J / mol er molar fuel-air mixture charge c Gas constant 1 1 R 8.314J mol = K In order to calculate the entroy generation, the environment temerature T = 3K is set. 8

10 Other constants and arameters are listed in tab. 1 according to Ref. [17]. In the following calculations, v is the maximum velocity of the iston on the ower stroke max and T is temerature of working fluid at the end of ower stroke. f 4.. Numerical examles for the case with constrained acceleration The otimal trajectory with constrained acceleration on the ower stroke is a three-branch ath. The system of differential equations for the case with constrained acceleration is solved backwards, i.e. taking the final osition of the iston as the initiate oint of calculation. For the iston motion maybe exists motion delay time, the detail calculation method has two cases. (1) There is exist the motion delay time of iston motion When the time t sent on the ower stroke is fixed, the first is to calculate the maximum deceleration segment. The values of the final temerature T f and the time sent on the maximum deceleration segment t 3 are guessed, then solving eqs. (17), (19) and (5) for the initial various arameters on this segment. The second is to calculate the interior segment. Using the calculation results of the former ste as the initial values of this ste, one can solve the differential equations (17), (19), (1) and () backwards with the iterative method. X X < is used as the terminate condition of the calculating rocess. The time sent on this segment t can be obtained, and the motion delay time can be written as t = t t t. The third is to calculate the first segment During the motion d 3 delay time, the iston osition is initial osition and velocity kee still, i.e. X = X and v =. The initial temerature T P can be solved by eq. (17). The resultant value of T P is comared with the desired one. The guessed initial value of T f and the time sent on the maximum deceleration segment t are then modified to minimize the square of the deviation between the resultant and 3 desired values, and the entroy generation on the ower stroke S is solved. The fourth is to t calculate the entroy generation and the time distribution of nonower strokes. Using the calculation result of the time sent on the ower stroke t, one can solve eqs. t = τ t = t + t, (9) and (11) for n 1 the entroy generation S t and time distribution of nonower strokes, and then the total entroy n generation of the cycle S can be obtained. The fifth is to modify the value of the time sent on the ower stroke t, and to reeat the former four stes until all of the values of the time sent on the ower stroke are calculated. The sixth is to comare the entroy generation er cycle S with different values of time sent on the ower stroke and to select the minimum S. () There is not exist the motion delay time of iston motion When the time t sent on the ower stroke is fixed, the first is to calculate the maximum deceleration segment. The values of the final temerature T f and the time sent on the maximum deceleration segment t 3 are guessed, then solving eqs. (17), (19) and (5) for the initial various arameters on this segment. The second is to calculate the interior segment. Using the calculation results of the former ste as the initial values of this ste, one can solve the differential equations (17), (19), (1) and () backwards with the iterative method. The iston velocity on the initial osition of the interior segment is related to the iston osition, which could be a switching oint from the interior segment to the maximum acceleration segment. The initial arameters and the time sent on this segment t can be obtained. The third is to calculate the maximum acceleration segment. Using the calculation results of the former ste as the initial values of this ste, one can solve eqs. (17), (19) and (5) backwards for the initial temerature T P and the time sent on the maximum acceleration 9

11 segment t. The resultant values of T and the total time sent on the three segments 1 P t + t + t 1 3 are comared with the desired ones. The guessed initial values of T f and the time sent on the maximum deceleration segment t 3 are then modified to minimize the square of the deviation between the resultants and desired values, and the entroy generation on the ower stroke S is t solved. The fourth is to calculate the entroy generation and the time distribution of nonower strokes. Using the calculation result of the time sent on the ower stroke t, one can solve eqs. t = τ t = t n 1 + t, (9) and (11) for the entroy generation S t and time distribution of nonower n strokes, and then the total entroy generation of the cycle S can be obtained. The fifth is to modify the value of the time sent on the ower stroke t, and to reeat the former four stes until all of the values of the time sent on the ower stroke are calculated. The sixth is to comare the entroy generation er cycle S with different values of time sent on the ower stroke and to select the minimum S. Table. Parameters for different cases Case Variation from Table 1 1 none t =.1ms b 3 t = 1.ms b 4 t = 5.ms b 5 τ = 66.66ms,corresonding to18rm 6 k = 61 W K / m 7 µ = 5.8 kg / s Tab. lists some arameters (other arameters unchanged) varied from tab. 1. Tab. 3 lists the calculation results for the corresonding cases, where the modified sinusoidal motion ( r/ l =.5) is chosen as the conventional motion. From tab. 3, one can see that the influences of different choices of burn time, friction coefficient, heat leakage coefficient and cycle time on the otimal configurations of iston movement. For different cases, the results in tab. 3 show that the eak velocity v is much max larger than that of with the conventional motion, while the time sent on ower stroke t with the otimal iston motion is smaller than that of with conventional motion, resectively. After otimization, the decrease of time sent on the ower stroke t has two influences. On the one hand, with the decrease of t, the time sent on the nonower strokes t will increase and the mean iston n velocity during the nonower strokes will decrease, so the entroy generation due to the friction loss on the nonower strokes will decrease which can be seen from the change of S t in tab. 3. On the n other hand, with the decrease of t, the heat leakage loss will decrease for the decrease in the time sent on the contact between the high-temerature working fluid and the environment outside the cylinder, so the entroy generation due to heat leakage loss on the ower stroke will decrease which can be seen from the change of S qt, in tab. 3. The entroy generation due to friction loss on the ower stroke will increase with the increase of the eak velocity, this can be seen from the change of S f, t. The amount of increase in the entroy generation due to friction losses is always smaller than the amount of the decrease in the entroy generation due to heat leakage loss on the ower stroke, so the total entroy generation on the ower stroke is decreased, which can be seen from the change of 1

12 S t in tab. 3. Both the entroy generations on the nonower strokes and ower stroke are decreased, so the entroy generations er cycle S with the otimal iston motion are smaller than those with the conventional iston motion. Table 3. Numerical results for different cases with constrained acceleration am = 3 1 m s Case v max m/ s t ms S tn J K 1 S f, t J K 1 S qt, J K 1 S t J K 1 S J K 1 conv ot conv ot conv ot conv ot conv ot conv ot conv ot T f K 4.3. Comarison between the otimal and conventional iston motions Table 4. Result comarison between otimal trajectories with constrained acceleration and conventional engines Case Decrease in S tn Decrease in S f, t Decrease in S qt, Decrease in S t Decrease in S Tab. 4 lists the comarison results between the otimal trajectory and the conventional motion for different cases with constrained acceleration. From the amounts of the decreases of S t and n S f, t listed in tab. 4, one can see that the amount of the decrease of the entroy generation S t due n to the friction loss on the nonower strokes is smaller than that of the increase of the entroy generation S f, t due to the friction loss on the ower stroke after otimizing the iston motion, the entroy generation of the cycle due to friction loss increases after the otimization. Although the entroy generation of the cycle due to friction loss increases, the total entroy generation of the cycle 11

13 decreases after the otimization. From the amount of the decrease of S qt, listed in tab. 4, one can see that, for the whole cycle, the amount of the decrease of the entroy generation due to the heat leakage loss is much larger than that of the increase of the entroy generation due to the friction loss, the total otimization rocess is realized by decreasing the entroy generation due to heat leakage loss on the initial ortion of the ower stroke. Comaring the otimization results of cases 1-4, one can see that the otimization effect is better when the burn time is longer. Comaring the otimization results of cases 1 and 5, one can see that the otimization effect is better when the cycle eriod is longer. Furthermore, figs. -4 show the comarison of the otimal and conventional iston motions on the ower stroke for case 1. Figure. Comarison of iston velocity of otimal and conventional motions on the ower stroke for case 1 Figure 3. Comarison of working fluid temerature of otimal and conventional motions on the ower stroke for case 1 1

14 Figure 4. Comarison of iston osition of otimal and conventional motions on the ower stroke for case Comarison between the otimal iston motions with different otimization objectives. Figs. 5-7 show the otimal iston trajectories on the ower stroke with two different otimization objectives, which include the otimal trajectory with maximum work outut (ower oerating regime) [15] and minimum entroy generation (economical oerating regime) (this aer). Tab. 5 lists the corresonding results of numerical calculations. In Tab. 5, ε = W / W is the τ R effectiveness, i.e. the second-law efficiency [47]. When heat transfer is considered, the reversible rocess which corresonds to the ractical exansion rocess of Diesel cycle after otimizing the iston motion is not a reversible adiabatic exansion rocess, but a reversible olytroic rocess, so the reversible work outut er cycle which corresonds to the ractical cycle after otimization should be W = N R T T n + N C T X X (31) RC / ( )/( 1) [1 ( / ) vc ] R P f C vc C f where n is the olytroic exonent. The first art of eq. (31) NRT ( T )/( n 1) is used to P f calculate the reversible exansion work of reversible olytroic rocess. When otimizing the iston motion, the heat leakage along the nonower strokes is negligible, so the reversible rocess which corresonds to the ractical comression rocess after otimization is still a reversible adiabatic RC / comression rocess. The second art of eq. (31) NC T [1 ( X / X) vc ] is used to calculate the C vc C f reversible comression work of reversible adiabatic comression rocess. According to Ref. [48], the olytroic exonent changes during the exansion rocess of Diesel engine, and usually the mean olytroic exonent of the exansion is n = 1. ~ 1.8. In this aer, n = 1.5 is used. W is the work outut on the ower stroke, Wf, t n is the work lost due to the friction loss on the nonower strokes, and W is the required comression work inut along the nonower strokes, so com the net work outut er cycle is W = W W W. τ f, t n com 13

15 Figure 5. Comarison of iston velocity on the ower stroke for two otimization objectives Figure 6. Comarison of working fluid temerature on the ower stroke for two otimization objectives Comaring the results of numerical calculations with two otimization objectives listed in tab. 5, one can see that the entroy generation and work outut with the minimum entroy generation objective decrease by 47% and 45%, resectively, while the efficiency increases by 5%. From figs. 5-7, as is also shown by aer [49], one can see that otimization results are essentially different for two otimization objectives. The similarities for the otimal iston motions with different otimization objectives are as follows: They both consist of three segments, including two boundary segments and a middle movement segment; both the last segments are maximum 14

16 deceleration segment; both the middle movement segments and corresonding otimal solutions with unconstrained acceleration satisfy the same differential equations. While the differences for the otimal iston motions with different otimization objectives are: The first segment with the minimum entroy generation objective is a maximum acceleration segment, while that with maximum work outut objective is a stock-still segment. The reason for the differences is: With the maximum work outut objective, the iston motion has a delay time on the ower stroke, during the delay time the iston is stock-still and the temerature of the working fluid increases raidly with the fuel combustion ( which can be seen from the variation of the temerature in fig. 6), so the increase of the temerature of the working fluid at the beginning of the ower stroke increases the iston exansion work outut ( which can be seen from the variation of W in tab. 5). In addition, from the results listed in tab. 5, one can see that the otimal times t sent on the ower stroke with different otimization objectives are different, i.e. the otimal distributions of the total cycle time τ among the strokes are distinct. Both the two above kinds of differences show that otimization objective has imortant effects on the otimal iston trajectory. Figure 7. Comarison of iston osition on the ower stroke for two otimization objectives Otimal objective Minimum entroy generation Maximum work outut Table 5. Numerical results for the otimal iston trajectories of ower stroke with two otimization objectives W ( J) v f, τ max t S t W W R W τ Q m/ s ms J K 1 J J J W f, t n W f, t J T f K ε 5. Conclusion On the basis of Refs. [17, 4], this aer studies a Diesel cycle engine with internal and 15

17 external irreversibilities of friction and heat leakage, in which the finite rate of combustion is considered and the heat transfer between the working fluid and the cylinder wall obeys the Newton s heat transfer law. The otimal iston trajectories for minimum the entroy generation er cycle are derived for the fixed total cycle time and fuel consumed er cycle. Otimal control theory is alied to determine the otimal iston trajectories for the cases of unconstrained and constrained iston accelerations on each stroke and the otimal distribution of the total cycle time among the strokes. The main conclusions include: (1) The otimal iston motions with minimum entroy generation and maximum work outut otimization objectives consist of three segments, including two boundary segments and a middle movement segment, the first segment of the otimal iston motion with the minimum entroy generation objective is a maximum acceleration segment, while that with maximum work outut objective is a stoke-still segment. There are in fact several ways of achieving those athways of which one oints out just two: one mechanical solution is using a contoured late to guide the iston on the desired ath as shown in fig. 8 (i.e. an eccentric shaft of roerly designed shae turns the otimal motion of the iston into a constant angular rotation) [see age 4 of Ref. [5] in detail], and another comletely different way to transform the otimized aths is the use of an electrical couling, see age 4 of Ref. [5] in detail. () After minimum entroy generation otimization, the amount of the decrease of the entroy generation due to the heat leakage loss is much larger than that of the increase of the entroy generation due to the friction loss, so the total otimization rocess is realized by decreasing the entroy generation due to heat leakage loss on the initial ortion of the ower stroke. (3) The otimization objective has influence on the otimal trajectory of the heat engine. The results obtained in this aer can rovide some guidelines for the otimal design and oeration of ractical internal combustion engines. Figure 8. The mechanical transformer. An eccentric shaft of roerly designed shae turns the otimal motion of the iston into a constant angular rotation Acknowledgments This aer is suorted by The National Natural Science Foundation of P. R. China (Project No ) and the Natural Science Foundation of Naval University of Engineering (HGDYDJJ111). The 16

18 authors wish to thank the reviewers for their careful, unbiased and constructive suggestions, which led to this revised manuscrit. Nomenclature a -acceleration, [ m/ s ] b -cylinder bore, [ m ] 1 1 C -constant volume heat caacity, [ kj kg K ] F -exlosion fraction, [ ] f -friction force, [ kg m / s ] G -finite combustion rate, [ m ] H -Hamiltonian, [ ] h -heating function, [ kj ] k -heat transfer coefficient, [ W K / m ] L -stroke length, [ m ] l -connecting rod length, [ m ] N -number of moles of gas, [ ] n -olytroic exonent, [ ] Q -heat leakage, [ J ] 1 1 R -gas constant, [ J mol K ] r -crankshaft length, [ m ] S -entroy generation, [ T -temerature, [ K ] t -time, [ ms ] v -velocity, [ m/ s] W -work outut, [ J ] X -dislacement, [ m ] Greek symbols J K - 1 ] ε -the second-law efficiency, [ ] θ -angle of crankshaft rotating, [ ] µ -friction coefficient, [ kg / s ] τ -cycle time, [ ms ] Subscrits f -the state of combustion end f, t n -the effect of friction loss on nonower strokes f, t -the effect of friction loss on ower stroke i -the state of combustion start max min -maximum -minimum q, t -the effect of heat transfer on ower stroke t n -nonower stroke t -ower stroke -the state of ower stroke start 17

19 References [1] Curzon, F. L., Ahlborn, B., Efficiency of a Carnot engine at maximum ower outut, Am. J. Phys., 43(1975), 1,. -4 [] Andresen, B., et al., Thermodynamics for rocesses in finite time, Acc. Chem. Res., 17(1984), 8, [3] Bejan A., Entroy generation minimization: The new thermodynamics of finite-size devices and finite-time rocesses, J. Al. Phys., 79(1996), 3, [4] Berry, R. S., et al., Thermodynamic Otimization of Finite Time Processes, Wiley, Chichester, 1999 [5] Chen, L., Wu, C., Sun, F., Finite time thermodynamic otimization or entroy generation minimization of energy systems, J. Non-Equilib. Thermodyn., 4(1999), 4, [6] Sieniutycz, S., Hamilton-Jacobi-Bellman framework for otimal control in multistage energy systems, Phys. Re., 36(), 4, [7] Salamon, P., et al., Princiles of control thermodynamics, Energy, The Int. J., 6(1), 3, [8] Hoffman, K. H., et al., Otimal rocess aths for endoreversible systems, J. Non-Equilib. Thermodyn., 8(3), 3, [9] Chen, L., Sun, F., Advances in Finite Time Thermodynamics: Analysis and Otimization,: Nova Science, New York, USA, 4 [1] Chen, L., Finite Time Thermodynamics Analysis of Irreversible Progresses and Cycles (in Chinese), High Education Press, Beijing, 5 [11] Sieniutycz, S., Jezowski, J., Energy Otimization in Process Systems, Elsevier, Oxford, UK, 9 [1] Feidt, M., Thermodynamics alied to reverse cycle machines, a review, Int. J. Refrig., 33(1), 7, [13] Andresen, B., Current trends in finite-time thermodynamics, Angew. Chem. Int. Edit., 5(11), 1, [14] Radcenco, V., Vasilescu, E. E., Feidt, R., Thermodynamic otimization of direct cycles, Thermotehnica, (3), 1-, [15] Mozurkewich, M., Berry, R. S., Finite-time thermodynamics: Engine erformance imroved by otimized iston motion, Proc. Natl. Acad. Sci. U.S.A., 78(1981), 4, [16] Mozurkewich, M., Berry, R. S., Otimal aths for thermodynamic systems: The ideal Otto cycle, J. Al. Phys., 53(198), 1, [17] Hoffman, K. H., Berry, R. S., Otimal aths for thermodynamic systems: The ideal Diesel cycle, J. Al. Phys., 58(1985), 6, [18] Blaudeck, P., Hoffman, K. H., Otimization of the ower outut for the comression and ower stroke of the Diesel engine, Proc. Int. Conf. ECOS 95, Volume : 754, Istanbul, Turkey, 1995 [19] Teh, K. Y., Edwards, C. F., Otimizing iston velocity rofile for maximum work outut from an IC engine, Proc. IMECE6, IMECE6-136, 6 ASME Int. Mech. Engng. Congress and Exosition, November 5-1, Chicago, Illinois, USA, 6 [] Teh, K. Y., Miller, S. L., Edwards, C. F., Thermodynamic requirements for maximum internal 18

20 combustion engine cycle efficiency Part 1: Otimal combustion strategy, Int. J. Engine Res., 9(8), 6, [1] Teh, K. Y., Miller, S. L., Edwards, C. F., Thermodynamic requirements for maximum internal combustion engine cycle efficiency Part : Work extraction and reactant rearation strategies, Int. J. Engine Res., 9(8), 6, [] Teh, K. Y., Edwards, C. F., An otimal control aroach to minimizing entroy generation in an adiabatic internal combustion engine, Trans. ASME J. Dyn. Sys., Meas., Contr., 13(8), 4,. 418 [3] Teh, K. Y., Edwards, C. F., An otimal control aroach to minimizing entroy generation in an adiabatic IC engine with fixed comression ratio, Proc. IMECE6, IMECE , 6 ASME Int. Mech. Engng. Congress and Exosition, November 5-1, Chicago, Illinois, USA, 6 [4] Ge, Y., Chen, L., Sun, F., Otimal aths of iston motion of irreversible Otto cycle heat engines for minimum entroy generation (in Chinese), Sci. China: Phys., Mech., Astron., 4(1), 9, [5] Band, Y. B., Kafri, O., Salamon, P., Maximum work roduction from a heated gas in a cylinder with iston, Chem. Phys. Lett., 7(198), 1, [6] Band, Y. B., Kafri, O., Salamon, P., Finite time thermodynamics: Otimal exansion of a heated working fluid, J. Al. Phys., 53(198), 1,. 8-8 [7] Salamon, P., Band, Y. B., Kafri, O., Maximum ower from a cycling working fluid, J. Al. Phys., 53(198), 1, [8] Aizenbud, B. M., Band, Y. B., Power considerations in the oeration of a iston fitted inside a cylinder containing a dynamically heated working fluid, J. Al. Phys., 5(1981), 6, [9] Aizenbud, B. M., Band, Y. B., Kafri, O., Otimization of a model internal combustion engine, J. Al. Phys., 53(198), 3, [3] Band, Y. B., Kafri, O., Salamon, P., Otimization of a model external combustion engine, J. Al. Phys., 53(198), 1, [31] Burzler, J. M., Hoffman, K. H., Otimal iston aths for Diesel engines. Chater 7 Thermodynamics of energy conversion and transort, Sienuitycz S and De vos A, eds., Sringer, New York, [3] Burzler, J. M., Performance Otimal for Endoreversible Systems, Ph. D. Thesis, University of Chemnitz, Germany,, [33] Xia, S., Chen, L., Sun, F., Maximum ower outut of a class of irreversible non-regeneration heat engines with a non-uniform working fluid and linear henomenological heat transfer law, Sci. China Ser. G: Phys., Mech., Astron., 5(9), 5, [34] Ge, Y., Chen, L., Sun, F., The otimal ath of iston motion of irreversible Otto cycle for minimum entroy generation with radiative heat transfer law, Submitted to J. Energy Inst. [35] Chen, L., Sun, F., Wu, C., Otimal exansion of a heated working fluid with henomenological heat transfer, Energy Convers. Manage., 39(1998), 3/4, [36] Song, H., Chen, L., Sun, F., Otimization of a model external combustion engine with linear henomenological heat transfer law, J. Energy Inst., 8(9), 3, [37] Chen, L., et al., Otimization of a model internal combustion engine with linear 19

21 henomenological heat transfer law, Int. J. Ambient Energy, 31(1), 1,. 13- [38] Song, H., Chen, L., Sun, F., Otimal exansion of a heated working fluid for maximum work outut with generalized radiative heat transfer law, J. Al. Phys., 1(7), 9, [39] Ma, K., Chen, L., Sun, F., Otimal exansion of a heated gas under Dulong-Petit heat transfer law (in Chinese), J. Eng. Therm. Energy Pow., 4(9), 4, [4] Chen, L., et al., Otimal exansion of a heated working fluid with convective-radiative heat transfer law, Int. J. Ambient Energy, 31(1),, [41] Ma, K., Otimal Configurations of Engine Piston Motions and Forced Cool-down Processes, Ph. D. Thesis, Naval University of Engineering, China, 1 [4] Ma, K., Chen, L., Sun, F., A new solving method for otimal exansion of a heated working fluid with generalized radiative heat transfer law (in Chinese), Chin. J. Mech. Eng., 46(1), 6, [43] Ma, K., Chen, L., Sun, F., Otimization of a model external combustion engine for maximum work outut with generalized radiative heat transfer law, J. Energy Inst., in ress [44] Chen, L., Ma, K., Sun, F., Otimal exansion of a heated working fluid for maximum work outut with time-deendent heat conductance and generalized radiative heat transfer law, J. Non-Equilib. Thermodyn., 36(11),,.99-1 [45] Taylor, C. F., The Internal Combustion Engine in Theory and Practice, Volumes 1 and, MA, Cambridge, 1977 [46] Biezeno, C. B., Grammel, R., Engineering Dynamics, Blackie, London, 1955, 4,. -5 [47] Andresen, B., Rubin, M. H., Berry, R. S., Availability for finite-time rocesses. General theory and a model, J. Chem. Phys., 87(1983), 15, [48] Shen, W., Jiang, Z., Tong, J., Engineering Thermodynamics (in Chinese), High Education Press, Beijing, 1 [49] Radcenco V., et al., New aroach to thermal ower lants oeration regimes maximum ower versus maximum efficiency. Int. J. Therm. Sci., 46(7), 1, [5] Sieniutycz S., Salamon P., Advances in Thermodynamics. Volume 4: Finite Time Thermodynamics and Thermoeconomics, Taylor & Francis, New York, 199. Affiliation Lingen Chen (corresonding author) The College of Naval Architecture and Power, Naval University of Engineering, Wuhan 4333, P. R. China lgchenna@yahoo.com, lingenchen@hotmail.com Yanlin Ge, Fengrui Sun The College of Naval Architecture and Power, Naval University of Engineering, Wuhan 4333, P. R. China

OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION

OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION THERMAL SCIENCE, Year 011, Vol. 15, No. 4, pp. 975-993 975 OPTIMAL PATHS OF PISTON MOTION OF IRREVERSIBLE DIESEL CYCLE FOR MINIMUM ENTROPY GENERATION by Yanlin GE, Lingen CHEN *, and Fengrui SUN College

More information

FINITE TIME THERMODYNAMIC MODELING AND ANALYSIS FOR AN IRREVERSIBLE ATKINSON CYCLE. By Yanlin GE, Lingen CHEN, and Fengrui SUN

FINITE TIME THERMODYNAMIC MODELING AND ANALYSIS FOR AN IRREVERSIBLE ATKINSON CYCLE. By Yanlin GE, Lingen CHEN, and Fengrui SUN FINIE IME HERMODYNAMIC MODELING AND ANALYSIS FOR AN IRREVERSIBLE AKINSON CYCLE By Yanlin GE, Lingen CHEN, and Fengrui SUN Performance of an air-standard Atkinson cycle is analyzed by using finite-time

More information

Vol. 119 (2011) ACTA PHYSICA POLONICA A No. 6

Vol. 119 (2011) ACTA PHYSICA POLONICA A No. 6 Vol. 119 011) ACA PHYSICA POLONICA A No. 6 Endoreversible Modeling and Optimization of a Multistage Heat Engine System with a Generalized Heat ransfer Law via Hamilton Jacobi Bellman Equations and Dynamic

More information

02. Equilibrium Thermodynamics II: Engines

02. Equilibrium Thermodynamics II: Engines University of Rhode Island DigitalCommons@URI Equilibrium Statistical Physics Physics Course Materials 205 02. Equilibrium Thermodynamics II: Engines Gerhard Müller University of Rhode Island, gmuller@uri.edu

More information

Chapter 1 Fundamentals

Chapter 1 Fundamentals Chater Fundamentals. Overview of Thermodynamics Industrial Revolution brought in large scale automation of many tedious tasks which were earlier being erformed through manual or animal labour. Inventors

More information

Chapter 20: Exercises: 3, 7, 11, 22, 28, 34 EOC: 40, 43, 46, 58

Chapter 20: Exercises: 3, 7, 11, 22, 28, 34 EOC: 40, 43, 46, 58 Chater 0: Exercises:, 7,,, 8, 4 EOC: 40, 4, 46, 8 E: A gasoline engine takes in.80 0 4 and delivers 800 of work er cycle. The heat is obtained by burning gasoline with a heat of combustion of 4.60 0 4.

More information

Entransy analysis of open thermodynamic systems

Entransy analysis of open thermodynamic systems Article Engineering hermohysics August 0 Vol.57 No.: 934940 doi: 0.007/s434-0-54-x Entransy analysis of oen thermodynamic systems CHENG Xueao, WANG WenHua & LIANG XinGang * Key Laboratory for hermal Science

More information

Chapter 9 Practical cycles

Chapter 9 Practical cycles Prof.. undararajan Chater 9 Practical cycles 9. Introduction In Chaters 7 and 8, it was shown that a reversible engine based on the Carnot cycle (two reversible isothermal heat transfers and two reversible

More information

Online publication date: 30 March 2011

Online publication date: 30 March 2011 This article was downloaded by: [Beijing University of Technology] On: 10 June 2011 Access details: Access Details: [subscription number 932491352] Publisher Taylor & Francis Informa Ltd Registered in

More information

JJMIE Jordan Journal of Mechanical and Industrial Engineering

JJMIE Jordan Journal of Mechanical and Industrial Engineering JJMIE Jordan Journal of Mechanical and Industrial Engineering Volume, Number, Jun. 8 ISSN 995-6665 Pages 7-75 Efficiency of Atkinson Engine at Maximum Power Density using emerature Deendent Secific Heats

More information

Lecture 13. Heat Engines. Thermodynamic processes and entropy Thermodynamic cycles Extracting work from heat

Lecture 13. Heat Engines. Thermodynamic processes and entropy Thermodynamic cycles Extracting work from heat Lecture 3 Heat Engines hermodynamic rocesses and entroy hermodynamic cycles Extracting work from heat - How do we define engine efficiency? - Carnot cycle: the best ossible efficiency Reading for this

More information

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS HET, ORK, ND THE FIRST L OF THERMODYNMIS 8 EXERISES Section 8. The First Law of Thermodynamics 5. INTERPRET e identify the system as the water in the insulated container. The roblem involves calculating

More information

The Numerical Simulation of Gas Turbine Inlet-Volute Flow Field

The Numerical Simulation of Gas Turbine Inlet-Volute Flow Field World Journal of Mechanics, 013, 3, 30-35 doi:10.436/wjm.013.3403 Published Online July 013 (htt://www.scir.org/journal/wjm) The Numerical Simulation of Gas Turbine Inlet-Volute Flow Field Tao Jiang 1,

More information

Lecture 13 Heat Engines

Lecture 13 Heat Engines Lecture 3 Heat Engines hermodynamic rocesses and entroy hermodynamic cycles Extracting work from heat - How do we define engine efficiency? - Carnot cycle: the best ossible efficiency Reading for this

More information

ANALYTICAL MODEL FOR THE BYPASS VALVE IN A LOOP HEAT PIPE

ANALYTICAL MODEL FOR THE BYPASS VALVE IN A LOOP HEAT PIPE ANALYTICAL MODEL FOR THE BYPASS ALE IN A LOOP HEAT PIPE Michel Seetjens & Camilo Rindt Laboratory for Energy Technology Mechanical Engineering Deartment Eindhoven University of Technology The Netherlands

More information

Efficiencies. Damian Vogt Course MJ2429. Nomenclature. Symbol Denotation Unit c Flow speed m/s c p. pressure c v. Specific heat at constant J/kgK

Efficiencies. Damian Vogt Course MJ2429. Nomenclature. Symbol Denotation Unit c Flow speed m/s c p. pressure c v. Specific heat at constant J/kgK Turbomachinery Lecture Notes 1 7-9-1 Efficiencies Damian Vogt Course MJ49 Nomenclature Subscrits Symbol Denotation Unit c Flow seed m/s c Secific heat at constant J/kgK ressure c v Secific heat at constant

More information

Actual exergy intake to perform the same task

Actual exergy intake to perform the same task CHAPER : PRINCIPLES OF ENERGY CONSERVAION INRODUCION Energy conservation rinciles are based on thermodynamics If we look into the simle and most direct statement of the first law of thermodynamics, we

More information

Theory of turbomachinery. Chapter 1

Theory of turbomachinery. Chapter 1 Theory of turbomachinery Chater Introduction: Basic Princiles Take your choice of those that can best aid your action. (Shakeseare, Coriolanus) Introduction Definition Turbomachinery describes machines

More information

δq T = nr ln(v B/V A )

δq T = nr ln(v B/V A ) hysical Chemistry 007 Homework assignment, solutions roblem 1: An ideal gas undergoes the following reversible, cyclic rocess It first exands isothermally from state A to state B It is then comressed adiabatically

More information

HEAT TRANSFER EFFECTS ON THE PERFORMANCE OF AN AIR STANDARD OTTO CYCLE. Havva Demirpolat, Ali Ates, S.Orkun Demirpolat, Ali Kahraman

HEAT TRANSFER EFFECTS ON THE PERFORMANCE OF AN AIR STANDARD OTTO CYCLE. Havva Demirpolat, Ali Ates, S.Orkun Demirpolat, Ali Kahraman HEAT TRANSFER EFFECTS ON THE PERFORMANCE OF AN AIR STANDARD OTTO CYCLE Havva Demirpolat, Ali Ates, S.Orkun Demirpolat, Ali Kahraman University of Selçuk, TURKEY Abstract There are heat losses during the

More information

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential Chem 467 Sulement to Lectures 33 Phase Equilibrium Chemical Potential Revisited We introduced the chemical otential as the conjugate variable to amount. Briefly reviewing, the total Gibbs energy of a system

More information

THE FIRST LAW OF THERMODYNAMICS

THE FIRST LAW OF THERMODYNAMICS THE FIRST LA OF THERMODYNAMIS 9 9 (a) IDENTIFY and SET UP: The ressure is constant and the volume increases (b) = d Figure 9 Since is constant, = d = ( ) The -diagram is sketched in Figure 9 The roblem

More information

The Second Law of Thermodynamics. (Second Law of Thermodynamics)

The Second Law of Thermodynamics. (Second Law of Thermodynamics) he Second aw of hermodynamics For the free exansion, we have >. It is an irreversible rocess in a closed system. For the reversible isothermal rocess, for the gas > for exansion and < for comression. owever,

More information

Non-Equilibrium Thermodynamics for Engineers

Non-Equilibrium Thermodynamics for Engineers Non-Equilibrium Thermodynamics for Engineers How do we find the otimal rocess unit? Signe Kjelstru, Chair of Engineering Thermodynamics Deartment of Process and Energy TU Delft ecture no. 7 Why is the

More information

High speed wind tunnels 2.0 Definition of high speed. 2.1 Types of high speed wind tunnels

High speed wind tunnels 2.0 Definition of high speed. 2.1 Types of high speed wind tunnels Module Lectures 6 to 1 High Seed Wind Tunnels Keywords: Blow down wind tunnels, Indraft wind tunnels, suersonic wind tunnels, c-d nozzles, second throat diffuser, shocks, condensation in wind tunnels,

More information

Homogeneous and Inhomogeneous Model for Flow and Heat Transfer in Porous Materials as High Temperature Solar Air Receivers

Homogeneous and Inhomogeneous Model for Flow and Heat Transfer in Porous Materials as High Temperature Solar Air Receivers Excert from the roceedings of the COMSOL Conference 1 aris Homogeneous and Inhomogeneous Model for Flow and Heat ransfer in orous Materials as High emerature Solar Air Receivers Olena Smirnova 1 *, homas

More information

The extreme case of the anisothermal calorimeter when there is no heat exchange is the adiabatic calorimeter.

The extreme case of the anisothermal calorimeter when there is no heat exchange is the adiabatic calorimeter. .4. Determination of the enthaly of solution of anhydrous and hydrous sodium acetate by anisothermal calorimeter, and the enthaly of melting of ice by isothermal heat flow calorimeter Theoretical background

More information

/ p) TA,. Returning to the

/ p) TA,. Returning to the Toic2610 Proerties; Equilibrium and Frozen A given closed system having Gibbs energy G at temerature T, ressure, molecular comosition (organisation ) and affinity for sontaneous change A is described by

More information

which is a convenient way to specify the piston s position. In the simplest case, when φ

which is a convenient way to specify the piston s position. In the simplest case, when φ Abstract The alicability of the comonent-based design aroach to the design of internal combustion engines is demonstrated by develoing a simlified model of such an engine under automatic seed control,

More information

Quantifying Dissipation

Quantifying Dissipation Communications to SIMAI Congress, ISSN 1827-915, Vol 2 (27) DOI: 11685/CSC6171 1 Quantifying Dissipation Karl Heinz Hoffmann Institut für Physik Technische Universität Chemnitz D-917 Chemnitz Germany Reversible

More information

I have not proofread these notes; so please watch out for typos, anything misleading or just plain wrong.

I have not proofread these notes; so please watch out for typos, anything misleading or just plain wrong. hermodynamics I have not roofread these notes; so lease watch out for tyos, anything misleading or just lain wrong. Please read ages 227 246 in Chater 8 of Kittel and Kroemer and ay attention to the first

More information

Constructal entransy dissipation rate minimization for disc-to-point heat conduction

Constructal entransy dissipation rate minimization for disc-to-point heat conduction Article Engineering Thermohysics January Vol.6 No.: doi:.7/s--8-8 SPECIAL TOPICS: Constructal entransy dissiation rate imization for disc-to-oint heat conduction XIAO Qingua, CEN LinGen * & SUN Fengui

More information

PHYS1001 PHYSICS 1 REGULAR Module 2 Thermal Physics Chapter 17 First Law of Thermodynamics

PHYS1001 PHYSICS 1 REGULAR Module 2 Thermal Physics Chapter 17 First Law of Thermodynamics PHYS1001 PHYSICS 1 REGULAR Module Thermal Physics Chater 17 First Law of Thermodynamics References: 17.1 to 17.9 Examles: 17.1 to 17.7 Checklist Thermodynamic system collection of objects and fields. If

More information

Prediction of the Excitation Force Based on the Dynamic Analysis for Flexible Model of a Powertrain

Prediction of the Excitation Force Based on the Dynamic Analysis for Flexible Model of a Powertrain Prediction of the Excitation Force Based on the Dynamic Analysis for Flexible Model of a Powertrain Y.S. Kim, S.J. Kim, M.G. Song and S.K. ee Inha University, Mechanical Engineering, 53 Yonghyun Dong,

More information

Deformation Effect Simulation and Optimization for Double Front Axle Steering Mechanism

Deformation Effect Simulation and Optimization for Double Front Axle Steering Mechanism 0 4th International Conference on Comuter Modeling and Simulation (ICCMS 0) IPCSIT vol. (0) (0) IACSIT Press, Singaore Deformation Effect Simulation and Otimization for Double Front Axle Steering Mechanism

More information

Analysis of Pressure Transient Response for an Injector under Hydraulic Stimulation at the Salak Geothermal Field, Indonesia

Analysis of Pressure Transient Response for an Injector under Hydraulic Stimulation at the Salak Geothermal Field, Indonesia roceedings World Geothermal Congress 00 Bali, Indonesia, 5-9 Aril 00 Analysis of ressure Transient Resonse for an Injector under Hydraulic Stimulation at the Salak Geothermal Field, Indonesia Jorge A.

More information

Physics 2A (Fall 2012) Chapters 11:Using Energy and 12: Thermal Properties of Matter

Physics 2A (Fall 2012) Chapters 11:Using Energy and 12: Thermal Properties of Matter Physics 2A (Fall 2012) Chaters 11:Using Energy and 12: Thermal Proerties of Matter "Kee in mind that neither success nor failure is ever final." Roger Ward Babson Our greatest glory is not in never failing,

More information

MODELING AND SIMULATION OF REFORMER AUTO- THERMAL REACTOR IN AMMONIA UNIT

MODELING AND SIMULATION OF REFORMER AUTO- THERMAL REACTOR IN AMMONIA UNIT Peet trool lleeuum & Cooaal ll IISSN 337-77 Available online at www.vuru.sk/c Petroleum & Coal 9 (), 6-7, 7 MODELING AND SIMULATION OF REFORMER AUTO- THERMAL REACTOR IN AMMONIA UNIT Kayvan Khorsand *,

More information

Unit code: H/ QCF level: 5 Credit value: 15 OUTCOME 1 - THERMODYNAMIC SYSTEMS TUTORIAL 2

Unit code: H/ QCF level: 5 Credit value: 15 OUTCOME 1 - THERMODYNAMIC SYSTEMS TUTORIAL 2 Unit 43: Plant and Process Princiles Unit code: H/60 44 QCF level: 5 Credit value: 5 OUCOME - HERMODYNAMIC SYSEMS UORIAL Understand thermodynamic systems as alied to lant engineering rocesses hermodynamic

More information

Setting up the Mathematical Model Review of Heat & Material Balances

Setting up the Mathematical Model Review of Heat & Material Balances Setting u the Mathematical Model Review of Heat & Material Balances Toic Summary... Introduction... Conservation Equations... 3 Use of Intrinsic Variables... 4 Well-Mixed Systems... 4 Conservation of Total

More information

PV/T = k or PV = kt Describe the difference between an ideal gas and a real gas.

PV/T = k or PV = kt Describe the difference between an ideal gas and a real gas. 10.1 Thermodynamics 10.2 Processes 10 10.3 The second law of thermodynamics and entroy 10.1 Thermodynamics From the combined gas laws, we determined that: P/T = k or P = kt 10.1.1 State the equation of

More information

A NEW COMPACT HEAT ENGINE

A NEW COMPACT HEAT ENGINE A NEW COMPACT HEAT ENGINE by Miodrag NOVAKOVI] Original scientific aer UDC: 536.8:621.4 BIBLID: 0354 9836, 6 (2002), 1, 45 51 The Differential Cylinder Heat Engine (DCHE) reorted consists of two different

More information

OPTIMAL DESIGN AND OPERATION OF HELIUM REFRIGERATION SYSTEMS USING THE GANNI CYCLE

OPTIMAL DESIGN AND OPERATION OF HELIUM REFRIGERATION SYSTEMS USING THE GANNI CYCLE OPTIMAL DESIGN AND OPERATION OF HELIUM REFRIGERATION SYSTEMS USING THE GANNI CYCLE V. Ganni, P. Knudsen Thomas Jefferson National Accelerator Facility (TJNAF) 12000 Jefferson Ave. Newort News, VA 23606

More information

Paper C Exact Volume Balance Versus Exact Mass Balance in Compositional Reservoir Simulation

Paper C Exact Volume Balance Versus Exact Mass Balance in Compositional Reservoir Simulation Paer C Exact Volume Balance Versus Exact Mass Balance in Comositional Reservoir Simulation Submitted to Comutational Geosciences, December 2005. Exact Volume Balance Versus Exact Mass Balance in Comositional

More information

ANALYTIC APPROXIMATE SOLUTIONS FOR FLUID-FLOW IN THE PRESENCE OF HEAT AND MASS TRANSFER

ANALYTIC APPROXIMATE SOLUTIONS FOR FLUID-FLOW IN THE PRESENCE OF HEAT AND MASS TRANSFER Kilicman, A., et al.: Analytic Aroximate Solutions for Fluid-Flow in the Presence... THERMAL SCIENCE: Year 8, Vol., Sul.,. S59-S64 S59 ANALYTIC APPROXIMATE SOLUTIONS FOR FLUID-FLOW IN THE PRESENCE OF HEAT

More information

Roots Blower with Gradually Expanding Outlet Gap: Mathematical Modelling and Performance Simulation Yingjie Cai 1, a, Ligang Yao 2, b

Roots Blower with Gradually Expanding Outlet Gap: Mathematical Modelling and Performance Simulation Yingjie Cai 1, a, Ligang Yao 2, b 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 216) Roots Bloer ith Gradually Exanding Outlet Ga: Mathematical Modelling and Performance Simulation

More information

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations PINAR KORKMAZ, BILGE E. S. AKGUL and KRISHNA V. PALEM Georgia Institute of

More information

Development of self-adaptively loading for planetary roller traction-drive transmission

Development of self-adaptively loading for planetary roller traction-drive transmission Available online www.jocr.com Journal of Chemical and Pharmaceutical Research, 013, 5(9):498-506 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Develoment of self-adatively loading for lanetary

More information

Session 5: Review of Classical Astrodynamics

Session 5: Review of Classical Astrodynamics Session 5: Review of Classical Astrodynamics In revious lectures we described in detail the rocess to find the otimal secific imulse for a articular situation. Among the mission requirements that serve

More information

4. A Brief Review of Thermodynamics, Part 2

4. A Brief Review of Thermodynamics, Part 2 ATMOSPHERE OCEAN INTERACTIONS :: LECTURE NOTES 4. A Brief Review of Thermodynamics, Part 2 J. S. Wright jswright@tsinghua.edu.cn 4.1 OVERVIEW This chater continues our review of the key thermodynamics

More information

A New Method for Simultaneous Determination of the TDC Offset and the Pressure Offset in Fired Cylinders of an Internal Combustion Engine

A New Method for Simultaneous Determination of the TDC Offset and the Pressure Offset in Fired Cylinders of an Internal Combustion Engine energies Article A New Method for Simultaneous Determination of the Offset and the Pressure Offset in Fired Cylinders of an Internal Combustion Engine Urban Žvar Baškovič *, Rok Vihar, Igor Mele and Tomaž

More information

Speed of sound measurements in liquid Methane at cryogenic temperature and for pressure up to 10 MPa

Speed of sound measurements in liquid Methane at cryogenic temperature and for pressure up to 10 MPa LNGII - raining Day Delft, August 07 Seed of sound measurements in liquid Methane at cryogenic temerature and for ressure u to 0 MPa Simona Lago*, P. Alberto Giuliano Albo INRiM Istituto Nazionale di Ricerca

More information

CFD AS A DESIGN TOOL FOR FLUID POWER COMPONENTS

CFD AS A DESIGN TOOL FOR FLUID POWER COMPONENTS CFD AS A DESIGN TOOL FOR FLUID POWER COMPONENTS M. BORGHI - M. MILANI Diartimento di Scienze dell Ingegneria Università degli Studi di Modena Via Cami, 213/b 41100 Modena E-mail: borghi@omero.dsi.unimo.it

More information

MODELING OF CONSTANT VOLUME COMBUSTION OF PROPELLANTS FOR ARTILLERY WEAPONS

MODELING OF CONSTANT VOLUME COMBUSTION OF PROPELLANTS FOR ARTILLERY WEAPONS MODELING OF CONSTANT VOLUME COMBUSTION OF PROPELLANTS FOR ARTILLERY WEAPONS Lt.col. lect. dr.ing. Daniel ANTONIE, Col.(r). rof.as. dr.ing. Sorin GHEORGHIAN, Col.(r). C.S.II dr.ing. Nicolae MĂRUNȚELU MILITARY

More information

Pressure-sensitivity Effects on Toughness Measurements of Compact Tension Specimens for Strain-hardening Solids

Pressure-sensitivity Effects on Toughness Measurements of Compact Tension Specimens for Strain-hardening Solids American Journal of Alied Sciences (9): 19-195, 5 ISSN 1546-939 5 Science Publications Pressure-sensitivity Effects on Toughness Measurements of Comact Tension Secimens for Strain-hardening Solids Abdulhamid

More information

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO)

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO) Combining Logistic Regression with Kriging for Maing the Risk of Occurrence of Unexloded Ordnance (UXO) H. Saito (), P. Goovaerts (), S. A. McKenna (2) Environmental and Water Resources Engineering, Deartment

More information

Ecological performance of a generalized irreversible Carnot heat engine with complex heat transfer law

Ecological performance of a generalized irreversible Carnot heat engine with complex heat transfer law INTERNATIONA JOURNA OF ENERGY AND ENVIRONMENT Volume 2, Issue, 20 pp.57-70 Journal homepage: www.ijee.ieefoundation.org Ecological performance of a generalized irreversible Carnot heat engine with complex

More information

A short note on Reitlinger thermodynamic cycles

A short note on Reitlinger thermodynamic cycles short note on Reitlinger thermodynamic cycles melia arolina Saravigna eartment of lied Science and echnology, Politecnico di orino, orino, Italy bstract: It is well known that arnot cycle is the thermodynamic

More information

Homework #11. (Due December 5 at the beginning of the class.) Numerical Method Series #6: Engineering applications of Newton-Raphson Method to

Homework #11. (Due December 5 at the beginning of the class.) Numerical Method Series #6: Engineering applications of Newton-Raphson Method to Homework #11 (Due December 5 at the beginning of the class.) Numerical Method Series #6: Engineering alications of Newton-Rahson Method to solving systems of nonlinear equations Goals: 1. Understanding

More information

whether a process will be spontaneous, it is necessary to know the entropy change in both the

whether a process will be spontaneous, it is necessary to know the entropy change in both the 93 Lecture 16 he entroy is a lovely function because it is all we need to know in order to redict whether a rocess will be sontaneous. However, it is often inconvenient to use, because to redict whether

More information

An Improved Calibration Method for a Chopped Pyrgeometer

An Improved Calibration Method for a Chopped Pyrgeometer 96 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 17 An Imroved Calibration Method for a Choed Pyrgeometer FRIEDRICH FERGG OtoLab, Ingenieurbüro, Munich, Germany PETER WENDLING Deutsches Forschungszentrum

More information

Chapter 20. Heat Engines, Entropy and the Second Law of Thermodynamics. Dr. Armen Kocharian

Chapter 20. Heat Engines, Entropy and the Second Law of Thermodynamics. Dr. Armen Kocharian Chapter 20 Heat Engines, Entropy and the Second Law of Thermodynamics Dr. Armen Kocharian First Law of Thermodynamics Review Review: The first law states that a change in internal energy in a system can

More information

Multivariable Generalized Predictive Scheme for Gas Turbine Control in Combined Cycle Power Plant

Multivariable Generalized Predictive Scheme for Gas Turbine Control in Combined Cycle Power Plant Multivariable Generalized Predictive Scheme for Gas urbine Control in Combined Cycle Power Plant L.X.Niu and X.J.Liu Deartment of Automation North China Electric Power University Beiing, China, 006 e-mail

More information

Chemistry 420/523 Chemical Thermodynamics (Spring ) Examination 1

Chemistry 420/523 Chemical Thermodynamics (Spring ) Examination 1 Chemistry 420/523 Chemical hermodynamics (Sring 2001-02) Examination 1 1 Boyle temerature is defined as the temerature at which the comression factor Z m /(R ) of a gas is exactly equal to 1 For a gas

More information

Determination of Pressure Losses in Hydraulic Pipeline Systems by Considering Temperature and Pressure

Determination of Pressure Losses in Hydraulic Pipeline Systems by Considering Temperature and Pressure Paer received: 7.10.008 UDC 61.64 Paer acceted: 0.04.009 Determination of Pressure Losses in Hydraulic Pieline Systems by Considering Temerature and Pressure Vladimir Savi 1,* - Darko Kneževi - Darko Lovrec

More information

FUGACITY. It is simply a measure of molar Gibbs energy of a real gas.

FUGACITY. It is simply a measure of molar Gibbs energy of a real gas. FUGACITY It is simly a measure of molar Gibbs energy of a real gas. Modifying the simle equation for the chemical otential of an ideal gas by introducing the concet of a fugacity (f). The fugacity is an

More information

Nonlinear superheat and capacity control of a refrigeration plant

Nonlinear superheat and capacity control of a refrigeration plant Nonlinear suerheat and caacity control of a refrigeration lant Henrik Rasmussen Deartment of Electronic Systems Aalborg University DK-92 Aalborg, Denmark Email: hr@es.aau.dk Lars F. S. Larsen Danfoss A/S,

More information

1. Read the section on stability in Wallace and Hobbs. W&H 3.53

1. Read the section on stability in Wallace and Hobbs. W&H 3.53 Assignment 2 Due Set 5. Questions marked? are otential candidates for resentation 1. Read the section on stability in Wallace and Hobbs. W&H 3.53 2.? Within the context of the Figure, and the 1st law of

More information

Chapter-6: Entropy. 1 Clausius Inequality. 2 Entropy - A Property

Chapter-6: Entropy. 1 Clausius Inequality. 2 Entropy - A Property hater-6: Entroy When the first law of thermodynamics was stated, the existence of roerty, the internal energy, was found. imilarly, econd law also leads to definition of another roerty, known as entroy.

More information

Chemical Kinetics and Equilibrium - An Overview - Key

Chemical Kinetics and Equilibrium - An Overview - Key Chemical Kinetics and Equilibrium - An Overview - Key The following questions are designed to give you an overview of the toics of chemical kinetics and chemical equilibrium. Although not comrehensive,

More information

5 Diagnosis of diesel engines

5 Diagnosis of diesel engines 5 Diagnosis of diesel engines In order to develo advanced fault-detection and diagnosis systems for diesel engines a modular structure is used, which is based on the available inut and outut signals from

More information

ECE 534 Information Theory - Midterm 2

ECE 534 Information Theory - Midterm 2 ECE 534 Information Theory - Midterm Nov.4, 009. 3:30-4:45 in LH03. You will be given the full class time: 75 minutes. Use it wisely! Many of the roblems have short answers; try to find shortcuts. You

More information

Maximum Power Output of Quantum Heat Engine. with Energy Bath

Maximum Power Output of Quantum Heat Engine. with Energy Bath Maximum Power Outut of Quantum Heat Engine with Energy Bath Shengnan Liu, Congjie Ou, College of Information Science and Engineering, Huaqiao University, Xiamen 360, China; 30008003@hqu.edu.cn Corresondence:

More information

Engineering Services Examination - UPSC MECHANICAL ENGINEERING. Topic-wise Conventional Papers I & II (Last 30 Years Questions)

Engineering Services Examination - UPSC MECHANICAL ENGINEERING. Topic-wise Conventional Papers I & II (Last 30 Years Questions) Engineering Services Examination - UPSC MECHANICAL ENGINEERING Toic-wise Conventional Paers I & II (Last 0 Years Questions) Dedicated to Mechanical Engineers and Engineering Services asirants. 04 by Engineers

More information

Temperature, current and doping dependence of non-ideality factor for pnp and npn punch-through structures

Temperature, current and doping dependence of non-ideality factor for pnp and npn punch-through structures Indian Journal of Pure & Alied Physics Vol. 44, December 2006,. 953-958 Temerature, current and doing deendence of non-ideality factor for n and nn unch-through structures Khurshed Ahmad Shah & S S Islam

More information

Chapter 5. Transient Conduction. Islamic Azad University

Chapter 5. Transient Conduction. Islamic Azad University Chater 5 Transient Conduction Islamic Azad University Karaj Branch 1 Transient Conduction Many heat transfer roblems are time deendent Changes in oerating conditions in a system cause temerature variation

More information

SELF-SIMILAR FLOW UNDER THE ACTION OF MONOCHROMATIC RADIATION BEHIND A STRONG CYLINDRICAL SHOCK WAVE IN A NON-IDEAL GAS

SELF-SIMILAR FLOW UNDER THE ACTION OF MONOCHROMATIC RADIATION BEHIND A STRONG CYLINDRICAL SHOCK WAVE IN A NON-IDEAL GAS SELF-SIMILAR FLOW UNDER THE ACTION OF MONOCHROMATIC RADIATION BEHIND A STRONG CYLINDRICAL SHOCK WAVE IN A NON-IDEAL GAS *J. P. Vishwakarma and Vijay Kumar Pandey Deartment of Mathematics & Statistics,

More information

MODEL-BASED MULTIPLE FAULT DETECTION AND ISOLATION FOR NONLINEAR SYSTEMS

MODEL-BASED MULTIPLE FAULT DETECTION AND ISOLATION FOR NONLINEAR SYSTEMS MODEL-BASED MULIPLE FAUL DEECION AND ISOLAION FOR NONLINEAR SYSEMS Ivan Castillo, and homas F. Edgar he University of exas at Austin Austin, X 78712 David Hill Chemstations Houston, X 77009 Abstract A

More information

TRIBOLOGICAL BEHAVIOR OF THRUST BEARING USING STRUCTURED SURFACES PART 1 THEORETICAL BACKGROUND

TRIBOLOGICAL BEHAVIOR OF THRUST BEARING USING STRUCTURED SURFACES PART 1 THEORETICAL BACKGROUND SISOM 007 and Homagial Session of the Commission of Acoustics, ucharest 9-31 May TRIOLOGICAL EHAVIOR OF THRUST EARING USING STRUCTURED SURFACES PART 1 THEORETICAL ACKGROUND Gabriel-Arin MIHALCEA *, Octavian

More information

Lecture 13 HYDRAULIC ACTUATORS[CONTINUED]

Lecture 13 HYDRAULIC ACTUATORS[CONTINUED] Lecture 1 HYDRAULIC ACTUATORS[CONTINUED] 1.5Acceleration and Deceleration of Cylinder Loads Cylinders are subjected to acceleration and deceleration during their oeration. Cylinders are decelerated to

More information

Estimation of dynamic behavior and energy efficiency of thrust hybrid bearings with active control

Estimation of dynamic behavior and energy efficiency of thrust hybrid bearings with active control INTERNATIONAL JOURNAL OF MECHANICS Volume 1 18 Estimation of dynamic behavior and energy efficiency of thrust hybrid bearings with active control Alexander Babin Sergey Majorov Leonid Savin Abstract The

More information

When solving problems involving changing momentum in a system, we shall employ our general problem solving strategy involving four basic steps:

When solving problems involving changing momentum in a system, we shall employ our general problem solving strategy involving four basic steps: 10.9 Worked Examles 10.9.1 Problem Solving Strategies When solving roblems involving changing momentum in a system, we shall emloy our general roblem solving strategy involving four basic stes: 1. Understand

More information

Understanding DPMFoam/MPPICFoam

Understanding DPMFoam/MPPICFoam Understanding DPMFoam/MPPICFoam Jeroen Hofman March 18, 2015 In this document I intend to clarify the flow solver and at a later stage, the article-fluid and article-article interaction forces as imlemented

More information

arxiv: v1 [nucl-ex] 28 Sep 2009

arxiv: v1 [nucl-ex] 28 Sep 2009 Raidity losses in heavy-ion collisions from AGS to RHIC energies arxiv:99.546v1 [nucl-ex] 28 Se 29 1. Introduction F. C. Zhou 1,2, Z. B. Yin 1,2 and D. C. Zhou 1,2 1 Institute of Particle Physics, Huazhong

More information

Pulse Propagation in Optical Fibers using the Moment Method

Pulse Propagation in Optical Fibers using the Moment Method Pulse Proagation in Otical Fibers using the Moment Method Bruno Miguel Viçoso Gonçalves das Mercês, Instituto Suerior Técnico Abstract The scoe of this aer is to use the semianalytic technique of the Moment

More information

Laws of Thermodynamics

Laws of Thermodynamics Laws of Thermodynamics The Three Laws of Thermodynamics - The first lawof thermodynamics, also called conservation of energy. We can use this knowledge to determine the amount of energy in a system, the

More information

University of North Carolina-Charlotte Department of Electrical and Computer Engineering ECGR 4143/5195 Electrical Machinery Fall 2009

University of North Carolina-Charlotte Department of Electrical and Computer Engineering ECGR 4143/5195 Electrical Machinery Fall 2009 University of North Carolina-Charlotte Deartment of Electrical and Comuter Engineering ECG 4143/5195 Electrical Machinery Fall 9 Problem Set 5 Part Due: Friday October 3 Problem 3: Modeling the exerimental

More information

Convex Optimization methods for Computing Channel Capacity

Convex Optimization methods for Computing Channel Capacity Convex Otimization methods for Comuting Channel Caacity Abhishek Sinha Laboratory for Information and Decision Systems (LIDS), MIT sinhaa@mit.edu May 15, 2014 We consider a classical comutational roblem

More information

Study of the circulation theory of the cooling system in vertical evaporative cooling generator

Study of the circulation theory of the cooling system in vertical evaporative cooling generator 358 Science in China: Series E Technological Sciences 006 Vol.49 No.3 358 364 DOI: 10.1007/s11431-006-0358-1 Study of the circulation theory of the cooling system in vertical evaorative cooling generator

More information

THERMODYNAMICS. Prepared by Sibaprasad Maity Asst. Prof. in Chemistry For any queries contact at

THERMODYNAMICS. Prepared by Sibaprasad Maity Asst. Prof. in Chemistry For any queries contact at HERMODYNAMIS reared by Sibarasad Maity Asst. rof. in hemistry For any queries contact at 943445393 he word thermo-dynamic, used first by illiam homson (later Lord Kelvin), has Greek origin, and is translated

More information

On Using FASTEM2 for the Special Sensor Microwave Imager (SSM/I) March 15, Godelieve Deblonde Meteorological Service of Canada

On Using FASTEM2 for the Special Sensor Microwave Imager (SSM/I) March 15, Godelieve Deblonde Meteorological Service of Canada On Using FASTEM2 for the Secial Sensor Microwave Imager (SSM/I) March 15, 2001 Godelieve Deblonde Meteorological Service of Canada 1 1. Introduction Fastem2 is a fast model (multile-linear regression model)

More information

I affirm that I have never given nor received aid on this examination. I understand that cheating in the exam will result in a grade F for the class.

I affirm that I have never given nor received aid on this examination. I understand that cheating in the exam will result in a grade F for the class. Chem340 Physical Chemistry for Biochemists Exam Mar 16, 011 Your Name _ I affirm that I have never given nor received aid on this examination. I understand that cheating in the exam will result in a grade

More information

arxiv: v1 [physics.data-an] 26 Oct 2012

arxiv: v1 [physics.data-an] 26 Oct 2012 Constraints on Yield Parameters in Extended Maximum Likelihood Fits Till Moritz Karbach a, Maximilian Schlu b a TU Dortmund, Germany, moritz.karbach@cern.ch b TU Dortmund, Germany, maximilian.schlu@cern.ch

More information

Statics and dynamics: some elementary concepts

Statics and dynamics: some elementary concepts 1 Statics and dynamics: some elementary concets Dynamics is the study of the movement through time of variables such as heartbeat, temerature, secies oulation, voltage, roduction, emloyment, rices and

More information

rate~ If no additional source of holes were present, the excess

rate~ If no additional source of holes were present, the excess DIFFUSION OF CARRIERS Diffusion currents are resent in semiconductor devices which generate a satially non-uniform distribution of carriers. The most imortant examles are the -n junction and the biolar

More information

Study of Current Decay Time during Disruption in JT-60U Tokamak

Study of Current Decay Time during Disruption in JT-60U Tokamak 1 EX/7-Rc Study of Current Decay Time during Disrution in JT-60U Tokamak M.Okamoto 1), K.Y.Watanabe ), Y.Shibata 3), N.Ohno 3), T.Nakano 4), Y.Kawano 4), A.Isayama 4), N.Oyama 4), G.Matsunaga 4), K.Kurihara

More information

Explosion Protection of Buildings

Explosion Protection of Buildings 1 Exlosion Protection of Buildings Author: Miroslav Mynarz 2 Exlosion Protection of Buildings Exlosion of a Condensed Exlosive and Calculation of Blast Wave Parameters Theory of exlosion of condensed exlosive

More information

MODELING THE RELIABILITY OF C4ISR SYSTEMS HARDWARE/SOFTWARE COMPONENTS USING AN IMPROVED MARKOV MODEL

MODELING THE RELIABILITY OF C4ISR SYSTEMS HARDWARE/SOFTWARE COMPONENTS USING AN IMPROVED MARKOV MODEL Technical Sciences and Alied Mathematics MODELING THE RELIABILITY OF CISR SYSTEMS HARDWARE/SOFTWARE COMPONENTS USING AN IMPROVED MARKOV MODEL Cezar VASILESCU Regional Deartment of Defense Resources Management

More information

A MIXED CONTROL CHART ADAPTED TO THE TRUNCATED LIFE TEST BASED ON THE WEIBULL DISTRIBUTION

A MIXED CONTROL CHART ADAPTED TO THE TRUNCATED LIFE TEST BASED ON THE WEIBULL DISTRIBUTION O P E R A T I O N S R E S E A R C H A N D D E C I S I O N S No. 27 DOI:.5277/ord73 Nasrullah KHAN Muhammad ASLAM 2 Kyung-Jun KIM 3 Chi-Hyuck JUN 4 A MIXED CONTROL CHART ADAPTED TO THE TRUNCATED LIFE TEST

More information