Unsteady State Simulation of Vapor Compression Heat Pump Systems With Modular Analysis (This paper will not be presented.)

Size: px
Start display at page:

Download "Unsteady State Simulation of Vapor Compression Heat Pump Systems With Modular Analysis (This paper will not be presented.)"

Transcription

1 Purdue University Purdue e-pubs nternational Refrigeration and ir Conditioning Conference Scool of Mecanical Engineering 0 Unsteady State Simulation of Vapor Compression Heat Pump Systems Wit Modular nalysis (Tis paper will not be presented.) Kuniyasu Matsumoto matsumoto.kuniyasu@d3.kepco.co.jp Kiyotaka Ueno Kiyosi Saito Keisuke no Follow tis and additional works at: ttp://docs.lib.purdue.edu/iracc Matsumoto, Kuniyasu; Ueno, Kiyotaka; Saito, Kiyosi; and no, Keisuke, "Unsteady State Simulation of Vapor Compression Heat Pump Systems Wit Modular nalysis (Tis paper will not be presented.)" (0). nternational Refrigeration and ir Conditioning Conference. Paper 93. ttp://docs.lib.purdue.edu/iracc/93 Tis document as been made available troug Purdue e-pubs, a service of te Purdue University Libraries. Please contact epubs@purdue.edu for additional information. Complete proceedings may be acuired in print and on CD-RM directly from te Ray W. Herrick Laboratories at ttps://engineering.purdue.edu/ Herrick/Events/orderlit.tml

2 4, Page t Tis document is a TEMPLTE. f you like, please substitute your manuscript information in tis document Before you submit, please: [ ] Update website (ttp:// wit canges to autor list or paper title [ ] Ceck te Permission to Publis ceckbox on te website [ ] Write all autor names in {iven Name} {Family Name} format [ ] Eliminate commercialism from your paper (see Section 5.)

3 4, Page Unsteady State Simulation of Vapor Compression Heat Pump Systems Wit Modular nalysis Kuniyasu Matsumoto *, Kiyotaka Ueno Kiyosi Saito, Keisuke no Kansai Electric Power Co., nc., Energy Use R&D Center, kuno-ku, saka, Japan Waseda University, Scool of Fundamental Science and Engineering, Sinjuku-ku, Tokyo, Japan BSTRCT Due to worldwide demand for energy saving, many new tecnologies ave been developed in te air conditioning field. Packaged indoor unit and outdoor unit vapor compression refrigerating eat pump system using te cange of refrigerant s condition between liuid and gas is a recently developed air conditioning system. Te cooling cycle is composed of an evaporator, a condenser, a compressor, an accumulator, pipe and an expansion valve. Tese components are controlled by te euation of continuity, te euation of energy and te euation of motion and so on. We can solve tese euations by giving numerical boundary conditions. n tis study, we create te simulation model applied te cooling cycle using teory of modular analysis. n tis teory we classify te components into some kinds of module and we structure euations of eac component individually and connect by pysical continuity and initial condition. To verify te accuracy of simulation model, we tested tis system in te stable environmental facility. We set more tan 300 sensors of temperature, pressure and uantity of flow. We can analyze te cange of te conditions of refrigerant per a couple of seconds. Compared to experimental data and te solution of simulation model, we certain accuracy of model and analyze te influence of te ability of macinery and CP. s a result, we made sure tat te constructed simulation model could predict actual beavior of systems. Now we focused te eat excangers at indoor units and outdoor unit, and we calculated te adeuate foam of refrigerant flowing pats by cooling cycle and eating cycle.. NTRDUCTN Most of Japanese area belong to te temperature zones and ave rainy season called TUYU from middle of June to July. n Japan in te summer time it is too ot and umid, and in te winter time it is too cold and dry because of continental air flow. Because of environmental cange we Japanese are used to use air conditioners wic can control to adeuate air environmental bot summer and winter season. Limited of residential buildings, more tan 90% families install tem. n tis report we focus air-conditioners for office buildings and sops and ospitals especially VRF (Variable Refrigerant Flow) systems. By Japanese geograpical caracteristic residence space is narrow because of surrounding mountains and population is too big, alf of Japanese people live in just 4% land space. So in te urban area buildings tend to be iger and iger. Because of tendency office buildings and sops are composed of different tenants tat differ from business ours. n tis background building users tend to install VRF systems wic can be controlled individually. n Japan VRF systems soulder important role of air-conditioner market wic are manufactured 800 tousands per year for domestic buildings. Te ratio of installing VRF systems increases gradually. n 983 it sowed only 30%, but it rose 58% in 005. f tis tendency continues, VRF systems will monopolize alf of all stock of buildings at 030. Lately it is popular to use air-conditioners 4 ours for te reason wy cut te peak energy load, but commonly airconditioners turn N and FF freuently per a day. enerally speaking, on te way to design te planers considerate safety margin wic facilities can manage it te worst circumstances. Piling tese reasons, facilities

4 4, Page 3 seldom drive maximum load. Te result of survey VRF system s annual load factor in te office building said tat only 0~50% VRF systems manage load factor. Te new VRF systems ave improved and canged until now for te reason wy save energy or increase useful function or progress in ig cost performance and so on. n Japan, tere are standards for te consumers easy to evaluate te capacity of VRF systems. Japanese most famous standard is JS (Japanese ndustrial Standards), it consist of tree parts of standards te standard of fundamental and te standard of metod and te standard of product, in te standard of metod it is defined to measure and test and analyze. VRF systems standard is JSB866. t was establised in 006, and in tis standard it was mentioned tat te VRF systems lord factor is low and it was proposed te way ow to evaluate of PF (nnual Performance Factor).. Modular nalysis Metod t is important to evaluate VRF systems capacity and efficiency and actual management, but it is difficult to evaluate all VRF systems for consumers in te experimental room. So we ave developed simulation program called Modular nalysis Metod by using computers, instead of testing VRF systems. Tis metod is te way to analyze te complicated system. Te more VRF systems fundamental factors increase, te more complex te system are, because of improving te products. But it is uncanging te matematical model for VRF systems. Concretely we make a simulation model by tree steps. t first we separate te system for every element called Module composed of VRF systems. Secondly we connect eac element by pysical euations and initial conditions. f te number of variable uantity and te number of euations is same, we can solve te problem step by step. Finally we calculate te VRF systems for parameter study in case of many kinds of initial conditions and many kinds of te eac elemental form in steady and unsteady conditions on te computers. n tis report we sow te VRF systems model, tere are little difference of te products, basically VRF systems consist of 6 elements. Figure sows te model of wole VRF system. Tis model as one outdoor unit and four indoor units wic are same capacity. ndoor unit euips expansion valve independently. EEVsub HEX EEV4 EV4 EEV3 EV3 EEV EV EEV EV EEVmain CN REV CM CM CC Figure : model of VRF System. Pipe VRF systems compressed te refrigerant directly, and te pipe is role of te pat of refrigerant between two elements. Wen we create te matematical model, we assume te two premises. Firstly te refrigerant never eliminate, secondly tere is not energy excange (te pipe is covered by te perfect insulation). We create te matematical model of tree type of te pipe depending on te number of inlet and outlet. Te straigt pipe as only one inlet and outlet, and te mixing pipe as multiple inlets and one outlet, and te diverging pipe as one inlet and multiple outlets. Figure sows te model of mixing pipe wic as two inlets and one outlet. Tis element is restricted by euations ()~(4).

5 4, Page 4, P,, P, V, P,, d V du V P P Figure : model of mixing pipe () () P P (3) (4). Compressor Compressor is te macine for compressed refrigerant, and it is role of canging pressure conditions. Many kinds of compressors are used for te VRF system, and tere forms and pysical caracteristics vary individually. We focus on te single vapor compressed type. Wen we create te matematical model, we assume te two premises. Firstly, wen te refrigerant is compressed, it occurs tat te loss of entropy and mass volume and energy wic te ratio of loss is stable. Secondly, compressor can be controlled among wide range of output, and te refrigerant mass volume depends on te rotational speed of compressor relatively. Figure 3 sows te model of compressor. Tis element is restricted by euations (5)~(3). V, P,, o o o ' ` ', P,, Figure 3: model of compressor d V du ' ' V ' ad ' (5) (6) (7) s ' ad s nv 60 (8) (9) ' (0) ' ' W ()

6 4, Page 5 P P () (3).3 Heat excanger Heat Excanger is te macine for transferring eat from ig temperature medium to low temperature medium, and it is role of promote canging te conditions of refrigerant. Depending on te cooling cycle and eating cycle, it is used for an evaporator and a condenser. enerally speaking, teir forms and pysical caracteristics vary individually. We focus on te fin and tube type. Wen we create te matematical model, we assume te two premises. Firstly, eat transfer coefficient is cangeable depend on te case of refrigerant conditions. We treated tree types of euation. n case of single pase refrigerant, we adopted Dittus-Boelter euation, and in case of double pase refrigerant, we adopted Yosida euation and Nozu euation. Secondly, te loss of pressure passing troug te eat excanger is cangeable depend on te case of refrigerant s conditions. We treated two types of euation. n case of single pase refrigerant, we adopted Blasius euation, and in case of double pase refrigerant, we consider Lockart-Martinelli parameter. Figure 4 sows te model of eat excanger. Tis element is restricted by euations (4)~(3). R S t ( Ru t PR x Mu t v x R R Figure 4: model of eat excanger R x ) ( RvR SR x v f D M S S P M R R l l d MRxR M x R M _ in m R MR M ) S MR R l d M xr M _ in M MR (4) (5) (6) (7) (8) P (9) (Dv x M MR m M ) S l M x M (0) M ( T TM ) mm pase () ( T TR) () MR M ( X X ) M (3) M

7 4, Page 6.4 Expansion valve Expansion valve is te macine for decreasing te pressure from ig pressure refrigerant to low pressure refrigerant, and it is role of canging condition from ig pressure gas to low pressure liuid. Wen we create te matematical model, we assume te two premises. Firstly wen te refrigerant passes troug te expansion valve, te refrigerant s entalpy is stable. Secondly, te refrigerant flow volume ratio is constant according to te pressure. Tis element is restricted by euations (4)~(8)., V, P,, Figure 5: model of expansion valve V o t du V oo ( P P ) Ca (4) (5) (6) P P (7) (8).5 ccumulator ccumulator is te macine for separating between gas and liuid, and it is role of prevention of invasion of liuid refrigerant to compressors, and absorbing refrigerant flow volume wen te cooling output decrease. Wen we create te matematical model, we assume te premise. Te outlet of refrigerant is controlled by inside te accumulator s conditions. f in case of partial lord tere is liuid refrigerant inside te accumulator, outlet is decided te saturated gas. f tere is no liuid refrigerant in te accumulator, outlet is decided te supereated gas. Tis element is restricted by euations (9)~(3).,, Figure 6: model of accumulator V o t du V o P P P o (9) (30) (3)

8 4, Page 7.6 Reversing valve Reversing valve is te macine for canging te route of refrigerant, and it is role of canging cooling cycle and eating cycle, because indoor unit s role canges between cooling cycle and eating cycle. Wen we create te matematical model, we assume te premise. Wen te refrigerant passes troug te reversing valve, te refrigerant s pressure is constant. Tis element is restricted by euations (3)~(37)., P, V, P, V, P,, P,, P,, P, Figure 7: model of reversing valve d V o (3) du V o o (33) P P (34) o d V o (35) du V o o (36) P P (37) o 3. Facility of experimental room We simulate te VRF system by using te modular analysis metod using computers, and analyze an actual VRF system in our experimental rooms to verify te accuracy of te simulation results. Te experimental rooms consist of two boxes, and te temperature and umidity can be controlled separately in eac box. Table sows te specifications of te rooms. Two different sizes of manometers are installed in te upper box: tey take in air for te indoor units and outdoor unit, and measure pysical conditions. Figure 4- sows te diagram of experimental rooms. Table : Room conditions Two room Scale 7.9m(W) 6.8m(D) 6.3m(H) (Same) Dry bulb -0~40 (minimum range : ±0. ) Range Humidity 40~90% (minimum range:±%) nsulation Main 00mm + air + Sub 40mm For outdoor unit 0~440m 3 /min ir flow For indoor unit 5~85m 3 /min bility ir-conditioners.5hp~0hp

9 Pressure MPa s =.0kJ/kgK T =0 o C , Page 8 Brine tank Steam Boiler Brine Ciller D.B.Controller W.B.Controller irflow-measuring pparatus Room Brine piping Steam piping Manometer irflow-measuring pparatus Room B Manometer D.B.Controller W.B.Controller Room conditioning apparatus Room Temperature-measuring instruments utdoor-unit under experiment Room ndoor-unit x4 under experiment Room B Figure 8: Experimental room 4. Results and simulation and experiment We simulated te VRF system by using te modular analysis metod for varying patterns of initial conditions. Te test conditions were rougly classified into two groups: steady-state simulation under constant conditions, and unsteady-state simulation under varying conditions suc as te number of active indoor units. Te former was used to compare te results of simulation and measurement data in a stable environment, and te latter to test te response to canging situations. no and Saito (00) simulated evaluation of different capacity of VRF System using tis model. We conducted simulations of various conditions of cooling and eating, and reported te cooling conditions wic te JS standard proposes for measuring an air-conditioner s cooling capacity. Table sows te temperature conditions of te indoor units and outdoor unit. Table : Measurement Condition for cooling system (JSB866) ir temperature Dry bulb ( ) Wet bulb ( ) Electrical condition ndoor unit utdoor unit Hz / 00V Note : Simulation Results : Tested Results Entalpy kj/kg Figure 9: P diagram under cooling cycle.

10 4, Page 9 5. Evaluation of eat excanger by simulation analysis n tis study we focus on te VRF system, it is used for bot eating cycle and cooling cycle, and eat excanger s role differ from bot cycles. n te cooling cycle, indoor units are role for evaporators, and in te eating cycle, indoor units are role for condensers. Because of canging te operation, we tink tat te adeuate eat excangers facilities are different bot cycles. enerally speaking, wen te refrigerant flows into te eat excanger, it passes troug te distribution element, and refrigerant s route separates two more pats. Depending on te number of pats, refrigerant flow speed and eat transfer area cange, and it effects eat transfer coefficient and te loss of pressure. So Ten, we focus on te numbers of refrigerant pats wic are important factor of designing of eat excangers, and we evaluate by te simulation model by Modular analysis. Table 3 sows te facility of eat excangers. Table 3: Facility of eat excanger utdoor unit ndoor unit (per one unit) Tube Diameter (mm) 7.48/ /7.00 Tube Lengt (m) Te number of Pats (-) 8 5 Fin Pitc (mm).3.5 nterval of Tube (mm) 5 0 Fin Tickness (mm) Wi of fin (mm) We do te parameter study wit simulation model by canging te initial conditions of te number of pats. Table 4 sows te input conditions of case. Figure sow te result of simulation. Table 4: Parameter study of canging te number of pats of eat excanger Cooling Cycle Case te number of Pats te number of Pats Case utdoor unit ndoor unit utdoor unit ndoor unit Heating Cycle

11 CP CP 4, Page Heating Heating 4 Cooling 4 Cooling te number of pats (indoor unit) te number of pats (outdoor unit) Figure : Results of simulation 6. CNCLUSNS We constructed a simulation model for analyzing te VRF system under te unsteady state. We sow te results of te simulation and experimental data, te results were similar. We evaluated te influent of CP by canging te eat excanger s number of pats. ccording to figure, in case of increasing evaporator s pat (cooling cycle at indoor unit and eating cycle at outdoor unit) CP increase about 0%, but in case of increasing condenser s pat, CP is almost stable. We consider te reason wy CP increase at evaporator because of decreasing te loss of pressure. ncreasing te number of pat occurs decreasing refrigerant flow per pat, and te refrigerant flow speed decrease. But it as a peak because of eat transfer coefficient. n te oter and, t condenser, te refrigerant gas almost control te condition, canging te number of pat effect subtly. By te way, we recognize tis simulation results are small different compared to experimental data, because we assume some kind of premises in order to finis te calculation. n te future, we will improve te accuracy of te model, and add a eat recycle model, and analyze oter systems suc as gas eat-pumps, to identify te most suitable VRF system. NMENCLTURE Mass flow rate ( kg s ) Subscripts Specific entalpy ( kj kg ) nlet 3 Density ( kg m ) utlet 3 V Volume ( m ) ad Compressed gas adiabatically P Pressure ( kpa ) ir u Specific internal energy ( kj kg ) M Tube s Entropy ( J K ) R Refrigerant n Rotational speed ( rpm) W Work ( kw ) S rea ( m ) Specific eat flux ( kw m ) l Lengt ( m ) Heat transfer coefficient ( kw m K T Temperature ( K ) )

12 4, Page REFERENCES no, K., Saito, K., 009, JSRE nnual Conference : lobal unsteady state simulation of eat pump using modular analysis -st report: ntermittent driving of compression type eat pump- p no, K., Saito, K., 0, 0 t E Heat Pump Conference 0 : Unsteady State simulation of VRF Systems p4 Matsumoto, K., Saito, K., 0, 3 rd CR: Unsteady State Simulation of VRF Systems wit modular analysis p7

Chapters 19 & 20 Heat and the First Law of Thermodynamics

Chapters 19 & 20 Heat and the First Law of Thermodynamics Capters 19 & 20 Heat and te First Law of Termodynamics Te Zerot Law of Termodynamics Te First Law of Termodynamics Termal Processes Te Second Law of Termodynamics Heat Engines and te Carnot Cycle Refrigerators,

More information

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln 0. (a) Sol: Section A A refrigerator macine uses R- as te working fluid. Te temperature of R- in te evaporator coil is 5C, and te gas leaves te compressor as dry saturated at a temperature of 40C. Te mean

More information

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator Simulation and verification of a plate eat excanger wit a built-in tap water accumulator Anders Eriksson Abstract In order to test and verify a compact brazed eat excanger (CBE wit a built-in accumulation

More information

Lecture 38: Vapor-compression refrigeration systems

Lecture 38: Vapor-compression refrigeration systems ME 200 Termodynamics I Lecture 38: Vapor-compression refrigeration systems Yong Li Sangai Jiao Tong University Institute of Refrigeration and Cryogenics 800 Dong Cuan Road Sangai, 200240, P. R. Cina Email

More information

Study of Convective Heat Transfer through Micro Channels with Different Configurations

Study of Convective Heat Transfer through Micro Channels with Different Configurations International Journal of Current Engineering and Tecnology E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rigts Reserved Available at ttp://inpressco.com/category/ijcet Researc Article Study of

More information

Chapter 3 Thermoelectric Coolers

Chapter 3 Thermoelectric Coolers 3- Capter 3 ermoelectric Coolers Contents Capter 3 ermoelectric Coolers... 3- Contents... 3-3. deal Equations... 3-3. Maximum Parameters... 3-7 3.3 Normalized Parameters... 3-8 Example 3. ermoelectric

More information

The Basics of Vacuum Technology

The Basics of Vacuum Technology Te Basics of Vacuum Tecnology Grolik Benno, Kopp Joacim January 2, 2003 Basics Many scientific and industrial processes are so sensitive tat is is necessary to omit te disturbing influence of air. For

More information

Carnot Factor of a Vapour Power Cycle with Regenerative Extraction

Carnot Factor of a Vapour Power Cycle with Regenerative Extraction Journal of Modern Pysics, 2017, 8, 1795-1808 ttp://www.scirp.org/journal/jmp ISSN Online: 2153-120X ISSN Print: 2153-1196 arnot Factor of a Vapour Power ycle wit Regenerative Extraction Duparquet Alain

More information

Journal of Chemical and Pharmaceutical Research, 2013, 5(12): Research Article

Journal of Chemical and Pharmaceutical Research, 2013, 5(12): Research Article Available online.jocpr.com Journal of emical and Parmaceutical Researc, 013, 5(1):55-531 Researc Article ISSN : 0975-7384 ODEN(USA) : JPR5 Performance and empirical models of a eat pump ater eater system

More information

DYNAMIC MODELING OF ORGANIC RANKINE CYCLE (ORC) SYSTEM FOR FAULT DIAGNOSIS AND CONTROL SYSTEM DESIGN

DYNAMIC MODELING OF ORGANIC RANKINE CYCLE (ORC) SYSTEM FOR FAULT DIAGNOSIS AND CONTROL SYSTEM DESIGN DYNAMIC MODELING OF ORGANIC RANKINE CYCLE (ORC SYSTEM FOR FAULT DIAGNOSIS AND CONTROL SYSTEM DESIGN Sungjin Coi and Susan Krumdieck University of Canterbury, Private Bag 48, Cristcurc 84 New Zealand sungjin.coi@pg.canterbury.ac.nz

More information

The derivative function

The derivative function Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative

More information

Compressor 1. Evaporator. Condenser. Expansion valve. CHE 323, October 8, Chemical Engineering Thermodynamics. Tutorial problem 5.

Compressor 1. Evaporator. Condenser. Expansion valve. CHE 323, October 8, Chemical Engineering Thermodynamics. Tutorial problem 5. CHE 33, October 8, 014. Cemical Engineering Termodynamics. Tutorial problem 5. In a simple compression refrigeration process, an adiabatic reversible compressor is used to compress propane, used as a refrigerant.

More information

Click here to see an animation of the derivative

Click here to see an animation of the derivative Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,

More information

Theoretical Analysis of Flow Characteristics and Bearing Load for Mass-produced External Gear Pump

Theoretical Analysis of Flow Characteristics and Bearing Load for Mass-produced External Gear Pump TECHNICAL PAPE Teoretical Analysis of Flow Caracteristics and Bearing Load for Mass-produced External Gear Pump N. YOSHIDA Tis paper presents teoretical equations for calculating pump flow rate and bearing

More information

De-Coupler Design for an Interacting Tanks System

De-Coupler Design for an Interacting Tanks System IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 3 (Sep. - Oct. 2013), PP 77-81 De-Coupler Design for an Interacting Tanks System

More information

Heat Transfer/Heat Exchanger

Heat Transfer/Heat Exchanger Heat ransfer/heat Excanger How is te eat transfer? Mecanism of Convection Applications. Mean fluid Velocity and Boundary and teir effect on te rate of eat transfer. Fundamental equation of eat transfer

More information

Combining functions: algebraic methods

Combining functions: algebraic methods Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)

More information

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine?

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine? 1 1 Power is transferred troug a macine as sown. power input P I macine power output P O power loss P L Wat is te efficiency of te macine? P I P L P P P O + P L I O P L P O P I 2 ir in a bicycle pump is

More information

the first derivative with respect to time is obtained by carefully applying the chain rule ( surf init ) T Tinit

the first derivative with respect to time is obtained by carefully applying the chain rule ( surf init ) T Tinit .005 ermal Fluids Engineering I Fall`08 roblem Set 8 Solutions roblem ( ( a e -D eat equation is α t x d erfc( u du π x, 4αt te first derivative wit respect to time is obtained by carefully applying te

More information

Taylor Series and the Mean Value Theorem of Derivatives

Taylor Series and the Mean Value Theorem of Derivatives 1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential

More information

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid ISR Journal of Mecanical & Civil Engineering (ISRJMCE) e-issn: 2278-1684,p-ISSN: 2320-334X PP 29-34 www.iosrjournals.org Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Excanger

More information

Numerical Simulations of the Physical Process for Hailstone Growth

Numerical Simulations of the Physical Process for Hailstone Growth NO.1 FANG Wen, ZHENG Guoguang and HU Zijin 93 Numerical Simulations of te Pysical Process for Hailstone Growt FANG Wen 1,3 ( ), ZHENG Guoguang 2 ( ), and HU Zijin 3 ( ) 1 Nanjing University of Information

More information

Hydraulic validation of the LHC cold mass heat exchanger tube.

Hydraulic validation of the LHC cold mass heat exchanger tube. Hydraulic validation o te LHC cold mass eat excanger tube. LHC Project Note 155 1998-07-22 (pilippe.provenaz@cern.c) Pilippe PROVENAZ / LHC-ACR Division Summary Te knowledge o te elium mass low vs. te

More information

lecture 26: Richardson extrapolation

lecture 26: Richardson extrapolation 43 lecture 26: Ricardson extrapolation 35 Ricardson extrapolation, Romberg integration Trougout numerical analysis, one encounters procedures tat apply some simple approximation (eg, linear interpolation)

More information

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics UNIVERSITY O SASKATCHEWAN Department of Pysics and Engineering Pysics Pysics 117.3 MIDTERM EXAM Regular Sitting NAME: (Last) Please Print (Given) Time: 90 minutes STUDENT NO.: LECTURE SECTION (please ceck):

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

Lecture 10: Carnot theorem

Lecture 10: Carnot theorem ecture 0: Carnot teorem Feb 7, 005 Equivalence of Kelvin and Clausius formulations ast time we learned tat te Second aw can be formulated in two ways. e Kelvin formulation: No process is possible wose

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

MAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016

MAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016 MAT244 - Ordinary Di erential Equations - Summer 206 Assignment 2 Due: July 20, 206 Full Name: Student #: Last First Indicate wic Tutorial Section you attend by filling in te appropriate circle: Tut 0

More information

1 Limits and Continuity

1 Limits and Continuity 1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function

More information

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households

Volume 29, Issue 3. Existence of competitive equilibrium in economies with multi-member households Volume 29, Issue 3 Existence of competitive equilibrium in economies wit multi-member ouseolds Noriisa Sato Graduate Scool of Economics, Waseda University Abstract Tis paper focuses on te existence of

More information

Notes on wavefunctions II: momentum wavefunctions

Notes on wavefunctions II: momentum wavefunctions Notes on wavefunctions II: momentum wavefunctions and uncertainty Te state of a particle at any time is described by a wavefunction ψ(x). Tese wavefunction must cange wit time, since we know tat particles

More information

A Reconsideration of Matter Waves

A Reconsideration of Matter Waves A Reconsideration of Matter Waves by Roger Ellman Abstract Matter waves were discovered in te early 20t century from teir wavelengt, predicted by DeBroglie, Planck's constant divided by te particle's momentum,

More information

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions Article Engineering Termopysics July 2011 Vol.56 No.19: 2071 2076 doi: 10.1007/s11434-010-4189-x SPECIAL TOPICS: Te entransy dissipation minimization principle under given eat duty and eat transfer area

More information

Chapter 4 Optimal Design

Chapter 4 Optimal Design 4- Capter 4 Optimal Design e optimum design of termoelectric devices (termoelectric generator and cooler) in conjunction wit eat sins was developed using dimensional analysis. ew dimensionless groups were

More information

Average Rate of Change

Average Rate of Change Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope

More information

Derivatives. By: OpenStaxCollege

Derivatives. By: OpenStaxCollege By: OpenStaxCollege Te average teen in te United States opens a refrigerator door an estimated 25 times per day. Supposedly, tis average is up from 10 years ago wen te average teenager opened a refrigerator

More information

SEM-2017(03HI MECHANICAL ENGINEERING. Paper II. Please read each of the following instructions carefully before attempting questions.

SEM-2017(03HI MECHANICAL ENGINEERING. Paper II. Please read each of the following instructions carefully before attempting questions. We RoU No. 700095 Candidate should write his/her Roll No. here. Total No. of Questions : 7 No. of Printed Pages : 7 SEM-2017(03HI MECHANICAL ENGINEERING Paper II Time ; 3 Hours ] [ Total Marks : 0 Instructions

More information

Physics 207 Lecture 23

Physics 207 Lecture 23 ysics 07 Lecture ysics 07, Lecture 8, Dec. Agenda:. Finis, Start. Ideal gas at te molecular level, Internal Energy Molar Specific Heat ( = m c = n ) Ideal Molar Heat apacity (and U int = + W) onstant :

More information

Analysis of Static and Dynamic Load on Hydrostatic Bearing with Variable Viscosity and Pressure

Analysis of Static and Dynamic Load on Hydrostatic Bearing with Variable Viscosity and Pressure Indian Journal of Science and Tecnology Supplementary Article Analysis of Static and Dynamic Load on Hydrostatic Bearing wit Variable Viscosity and Pressure V. Srinivasan* Professor, Scool of Mecanical

More information

Lab 6 Derivatives and Mutant Bacteria

Lab 6 Derivatives and Mutant Bacteria Lab 6 Derivatives and Mutant Bacteria Date: September 27, 20 Assignment Due Date: October 4, 20 Goal: In tis lab you will furter explore te concept of a derivative using R. You will use your knowledge

More information

Chapter 5. Mass and Energy Analysis of Control Volumes. by Asst. Prof. Dr.Woranee Paengjuntuek and Asst. Prof. Dr.Worarattana Pattaraprakorn

Chapter 5. Mass and Energy Analysis of Control Volumes. by Asst. Prof. Dr.Woranee Paengjuntuek and Asst. Prof. Dr.Worarattana Pattaraprakorn Chapter 5 Mass and Energy Analysis of Control Volumes by Asst. Prof. Dr.Woranee Paengjuntuek and Asst. Prof. Dr.Worarattana Pattaraprakorn Reference: Cengel, Yunus A. and Michael A. Boles, Thermodynamics:

More information

Problem Solving. Problem Solving Process

Problem Solving. Problem Solving Process Problem Solving One of te primary tasks for engineers is often solving problems. It is wat tey are, or sould be, good at. Solving engineering problems requires more tan just learning new terms, ideas and

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information

Simulation and Analysis of Biogas operated Double Effect GAX Absorption Refrigeration System

Simulation and Analysis of Biogas operated Double Effect GAX Absorption Refrigeration System Simulation and Analysis of Biogas operated Double Effect GAX Absorption Refrigeration System Simulation and Analysis of Biogas operated Double Effect GAX Absorption Refrigeration System G Subba Rao, 2

More information

Efficient algorithms for for clone items detection

Efficient algorithms for for clone items detection Efficient algoritms for for clone items detection Raoul Medina, Caroline Noyer, and Olivier Raynaud Raoul Medina, Caroline Noyer and Olivier Raynaud LIMOS - Université Blaise Pascal, Campus universitaire

More information

Exercises Copyright Houghton Mifflin Company. All rights reserved. EXERCISES {x 0 x < 6} 3. {x x 2} 2

Exercises Copyright Houghton Mifflin Company. All rights reserved. EXERCISES {x 0 x < 6} 3. {x x 2} 2 Eercises. CHAPTER Functions EXERCISES.. { 0 < 6}. a. Since and m, ten y, te cange in y, is y m. { } 7. For (, ) and (, ), te slope is Since and m, ten y, te cange in y, is y m 0 9. For (, 0) and (, ),

More information

3. Using your answers to the two previous questions, evaluate the Mratio

3. Using your answers to the two previous questions, evaluate the Mratio MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING CAMBRIDGE, MASSACHUSETTS 0219 2.002 MECHANICS AND MATERIALS II HOMEWORK NO. 4 Distributed: Friday, April 2, 2004 Due: Friday,

More information

General Physics I. New Lecture 27: Carnot Cycle, The 2nd Law, Entropy and Information. Prof. WAN, Xin

General Physics I. New Lecture 27: Carnot Cycle, The 2nd Law, Entropy and Information. Prof. WAN, Xin General Pysics I New Lecture 27: Carnot Cycle, e 2nd Law, Entropy and Information Prof. AN, Xin xinwan@zju.edu.cn ttp://zimp.zju.edu.cn/~xinwan/ Carnot s Engine Efficiency of a Carnot Engine isotermal

More information

1watt=1W=1kg m 2 /s 3

1watt=1W=1kg m 2 /s 3 Appendix A Matematics Appendix A.1 Units To measure a pysical quantity, you need a standard. Eac pysical quantity as certain units. A unit is just a standard we use to compare, e.g. a ruler. In tis laboratory

More information

Section 2: The Derivative Definition of the Derivative

Section 2: The Derivative Definition of the Derivative Capter 2 Te Derivative Applied Calculus 80 Section 2: Te Derivative Definition of te Derivative Suppose we drop a tomato from te top of a 00 foot building and time its fall. Time (sec) Heigt (ft) 0.0 00

More information

Lines, Conics, Tangents, Limits and the Derivative

Lines, Conics, Tangents, Limits and the Derivative Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt

More information

Desalination by vacuum membrane distillation: sensitivity analysis

Desalination by vacuum membrane distillation: sensitivity analysis Separation and Purification Tecnology 33 (2003) 75/87 www.elsevier.com/locate/seppur Desalination by vacuum membrane distillation: sensitivity analysis Fawzi Banat *, Fami Abu Al-Rub, Kalid Bani-Melem

More information

CHAPTER 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

CHAPTER 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES Thermodynamics: An Engineering Approach 8th Edition in SI Units Yunus A. Çengel, Michael A. Boles McGraw-Hill, 2015 CHAPTER 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES Lecture slides by Dr. Fawzi Elfghi

More information

Quantum Numbers and Rules

Quantum Numbers and Rules OpenStax-CNX module: m42614 1 Quantum Numbers and Rules OpenStax College Tis work is produced by OpenStax-CNX and licensed under te Creative Commons Attribution License 3.0 Abstract Dene quantum number.

More information

Development of new and validation of existing convection correlations for rooms with displacement ventilation systems

Development of new and validation of existing convection correlations for rooms with displacement ventilation systems Energy and Buildings 38 (2006) 163 173 www.elsevier.com/locate/enbuild Development of new and validation of existing convection correlations for rooms wit displacement ventilation systems Atila Novoselac

More information

The Laws of Thermodynamics

The Laws of Thermodynamics 1 Te Laws of Termodynamics CLICKER QUESTIONS Question J.01 Description: Relating termodynamic processes to PV curves: isobar. Question A quantity of ideal gas undergoes a termodynamic process. Wic curve

More information

Fundamentals of Heat Transfer Muhammad Rashid Usman

Fundamentals of Heat Transfer Muhammad Rashid Usman Fundamentals of Heat Transfer Muammad Rasid Usman Institute of Cemical Engineering and Tecnology University of te Punjab, Laore. Figure taken from: ttp://eatexcanger-design.com/20/0/06/eat-excangers-6/

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

1. (10) Calorically perfect ideal air at 300 K, 100 kpa, 1000 m/s, is brought to rest isentropically. Determine its final temperature.

1. (10) Calorically perfect ideal air at 300 K, 100 kpa, 1000 m/s, is brought to rest isentropically. Determine its final temperature. AME 5053 Intermediate Thermodynamics Examination Prof J M Powers 30 September 0 0 Calorically perfect ideal air at 300 K, 00 kpa, 000 m/s, is brought to rest isentropically Determine its final temperature

More information

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES

AN ANALYSIS OF AMPLITUDE AND PERIOD OF ALTERNATING ICE LOADS ON CONICAL STRUCTURES Ice in te Environment: Proceedings of te 1t IAHR International Symposium on Ice Dunedin, New Zealand, nd t December International Association of Hydraulic Engineering and Researc AN ANALYSIS OF AMPLITUDE

More information

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as

More information

(b) The heat transfer can be determined from an energy balance on the system

(b) The heat transfer can be determined from an energy balance on the system 8-5 Heat is transferred to a iston-cylinder device wit a set of stos. e work done, te eat transfer, te exergy destroyed, and te second-law efficiency are to be deterined. Assutions e device is stationary

More information

2016 PRELIM 2 PAPER 2 MARK SCHEME

2016 PRELIM 2 PAPER 2 MARK SCHEME 06 River Valley Hig Scool Prelim Paper Mark Sceme 06 PRELIM PAPER MARK SCHEME (a) V 5.00 X 85. 9V 3 I.7 0 X V I X V I X 0.03 0. 85.9 5.00.7 X 48.3 00 X X 900 00 [A0] Anomalous data can be identified. Systematic

More information

HARMONIC ALLOCATION TO MV CUSTOMERS IN RURAL DISTRIBUTION SYSTEMS

HARMONIC ALLOCATION TO MV CUSTOMERS IN RURAL DISTRIBUTION SYSTEMS HARMONIC ALLOCATION TO MV CUSTOMERS IN RURAL DISTRIBUTION SYSTEMS V Gosbell University of Wollongong Department of Electrical, Computer & Telecommunications Engineering, Wollongong, NSW 2522, Australia

More information

Krazy Katt, the mechanical cat

Krazy Katt, the mechanical cat Krazy Katt, te mecanical cat Te cat rigting relex is a cat's innate ability to orient itsel as it alls in order to land on its eet. Te rigting relex begins to appear at 3 4 weeks o age, and is perected

More information

ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS

ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS Yasuo NIHEI (1) and Takeiro SAKAI (2) (1) Department of Civil Engineering, Tokyo University of Science, 2641 Yamazaki,

More information

(4.2) -Richardson Extrapolation

(4.2) -Richardson Extrapolation (.) -Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Suppose tat lim G 0 and lim F L. Te function F is said to converge to L as

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

ESTIMATION OF TIME-DOMAIN FREQUENCY STABILITY BASED ON PHASE NOISE MEASUREMENT

ESTIMATION OF TIME-DOMAIN FREQUENCY STABILITY BASED ON PHASE NOISE MEASUREMENT ESTIMATION OF TIME-DOMAIN FREQUENCY STABILITY BASED ON PHASE NOISE MEASUREMENT P. C. Cang, H. M. Peng, and S. Y. Lin National Standard Time & Frequenc Laborator, TL, Taiwan, Lane 55, Min-Tsu Road, Sec.

More information

3.4 Worksheet: Proof of the Chain Rule NAME

3.4 Worksheet: Proof of the Chain Rule NAME Mat 1170 3.4 Workseet: Proof of te Cain Rule NAME Te Cain Rule So far we are able to differentiate all types of functions. For example: polynomials, rational, root, and trigonometric functions. We are

More information

Performance Prediction of Commercial Thermoelectric Cooler. Modules using the Effective Material Properties

Performance Prediction of Commercial Thermoelectric Cooler. Modules using the Effective Material Properties Performance Prediction of Commercial ermoelectric Cooler Modules using te Effective Material Properties HoSung Lee, Alaa M. Attar, Sean L. Weera Mecanical and Aerospace Engineering, Western Micigan University,

More information

Physically Based Modeling: Principles and Practice Implicit Methods for Differential Equations

Physically Based Modeling: Principles and Practice Implicit Methods for Differential Equations Pysically Based Modeling: Principles and Practice Implicit Metods for Differential Equations David Baraff Robotics Institute Carnegie Mellon University Please note: Tis document is 997 by David Baraff

More information

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS Po-Ceng Cang National Standard Time & Frequency Lab., TL, Taiwan 1, Lane 551, Min-Tsu Road, Sec. 5, Yang-Mei, Taoyuan, Taiwan 36 Tel: 886 3

More information

Copyright c 2008 Kevin Long

Copyright c 2008 Kevin Long Lecture 4 Numerical solution of initial value problems Te metods you ve learned so far ave obtained closed-form solutions to initial value problems. A closedform solution is an explicit algebriac formula

More information

The development of contact and noncontact technique to study the heat dissipation in metals under loading

The development of contact and noncontact technique to study the heat dissipation in metals under loading Te development of contact and noncontact tecnique to study te eat dissipation in metals under loading More info about tis article: ttp://www.ndt.net/?id=73 Abstract * ICMM UB RAS, Ac. Koroleva Str., 63

More information

Section 15.6 Directional Derivatives and the Gradient Vector

Section 15.6 Directional Derivatives and the Gradient Vector Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,

More information

Effect of the Dependent Paths in Linear Hull

Effect of the Dependent Paths in Linear Hull 1 Effect of te Dependent Pats in Linear Hull Zenli Dai, Meiqin Wang, Yue Sun Scool of Matematics, Sandong University, Jinan, 250100, Cina Key Laboratory of Cryptologic Tecnology and Information Security,

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

Comment on Experimental observations of saltwater up-coning

Comment on Experimental observations of saltwater up-coning 1 Comment on Experimental observations of saltwater up-coning H. Zang 1,, D.A. Barry 2 and G.C. Hocking 3 1 Griffit Scool of Engineering, Griffit University, Gold Coast Campus, QLD 4222, Australia. Tel.:

More information

8-4 P 2. = 12 kw. AIR T = const. Therefore, Q &

8-4 P 2. = 12 kw. AIR T = const. Therefore, Q & 8-4 8-4 Air i compreed teadily by a compreor. e air temperature i mataed contant by eat rejection to te urroundg. e rate o entropy cange o air i to be determed. Aumption i i a teady-low proce ce tere i

More information

Practice Problem Solutions: Exam 1

Practice Problem Solutions: Exam 1 Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical

More information

Continuity. Example 1

Continuity. Example 1 Continuity MATH 1003 Calculus and Linear Algebra (Lecture 13.5) Maoseng Xiong Department of Matematics, HKUST A function f : (a, b) R is continuous at a point c (a, b) if 1. x c f (x) exists, 2. f (c)

More information

Computational Method of Structural Reliability Based on Integration Algorithms

Computational Method of Structural Reliability Based on Integration Algorithms Sensors & ransducers, Vol. 54, Issue 7, July 03, pp. 5-59 Sensors & ransducers 03 by IFSA ttp://www.sensorsportal.com Computational Metod of Structural Based on Integration Algoritms * Cong Cen, Yi Wan

More information

APPENDIXES. Let the following constants be established for those using the active Mathcad

APPENDIXES. Let the following constants be established for those using the active Mathcad 3 APPENDIXES Let te following constants be establised for tose using te active Matcad form of tis book: m.. e 9.09389700 0 3 kg Electron rest mass. q.. o.6077330 0 9 coul Electron quantum carge. µ... o.5663706

More information

Chapter 2 Ising Model for Ferromagnetism

Chapter 2 Ising Model for Ferromagnetism Capter Ising Model for Ferromagnetism Abstract Tis capter presents te Ising model for ferromagnetism, wic is a standard simple model of a pase transition. Using te approximation of mean-field teory, te

More information

A general articulation angle stability model for non-slewing articulated mobile cranes on slopes *

A general articulation angle stability model for non-slewing articulated mobile cranes on slopes * tecnical note 3 general articulation angle stability model for non-slewing articulated mobile cranes on slopes * J Wu, L uzzomi and M Hodkiewicz Scool of Mecanical and Cemical Engineering, University of

More information

Time (hours) Morphine sulfate (mg)

Time (hours) Morphine sulfate (mg) Mat Xa Fall 2002 Review Notes Limits and Definition of Derivative Important Information: 1 According to te most recent information from te Registrar, te Xa final exam will be eld from 9:15 am to 12:15

More information

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y

More information

Chapter 5. Mass and Energy Analysis of Control Volumes

Chapter 5. Mass and Energy Analysis of Control Volumes Chapter 5 Mass and Energy Analysis of Control Volumes Conservation Principles for Control volumes The conservation of mass and the conservation of energy principles for open systems (or control volumes)

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

R13 SET - 1 '' ''' '' ' '''' Code No RT21033

R13 SET - 1 '' ''' '' ' '''' Code No RT21033 SET - 1 II B. Tech I Semester Supplementary Examinations, June - 2015 THERMODYNAMICS (Com. to ME, AE, AME) Time: 3 hours Max. Marks: 70 Note: 1. Question Paper consists of two parts (Part-A and Part-B)

More information

Robotic manipulation project

Robotic manipulation project Robotic manipulation project Bin Nguyen December 5, 2006 Abstract Tis is te draft report for Robotic Manipulation s class project. Te cosen project aims to understand and implement Kevin Egan s non-convex

More information

Thermodynamics Lecture Series

Thermodynamics Lecture Series Termodynamics Lecture Series Ideal Ranke Cycle Te Practical Cycle Applied Sciences Education Researc Group (ASERG) Faculty of Applied Sciences Universiti Teknologi MARA email: drjjlanita@otmail.com ttp://www5.uitm.edu.my/faculties/fsg/drjj1.tml

More information

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

first law of ThermodyNamics

first law of ThermodyNamics first law of ThermodyNamics First law of thermodynamics - Principle of conservation of energy - Energy can be neither created nor destroyed Basic statement When any closed system is taken through a cycle,

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

1. For d=3,2 from ε<< ε F it follows that ετ >> e-e h, i.e.,

1. For d=3,2 from ε<< ε F it follows that ετ >> e-e h, i.e., Quasiparticle decay rate at T = 0 in a clean Fermi Liquid. ω +ω Fermi Sea τ e e ( ) F ( ) log( ) Conclusions:. For d=3, from > e-e, i.e., tat te qusiparticles are well determined

More information

Part 2: Introduction to Open-Channel Flow SPRING 2005

Part 2: Introduction to Open-Channel Flow SPRING 2005 Part : Introduction to Open-Cannel Flow SPRING 005. Te Froude number. Total ead and specific energy 3. Hydraulic jump. Te Froude Number Te main caracteristics of flows in open cannels are tat: tere is

More information