Transient Characteristics of Radial Outflow Turbine Generators

Size: px
Start display at page:

Download "Transient Characteristics of Radial Outflow Turbine Generators"

Transcription

1 The 9th of International Symposium on Transport Phenomena and Dynamics of Rotating Machinery Honolulu, Hawaii, February 10-14, 2002 Transient Characteristics of Radial Outflow Turbine Generators Donald R. Smith Department of Mathematics University of California at San Diego La Jolla, CA Abstract A nonlinear mathematical model of Kimmel is described for the hydraulic behavior of variable speed radial outflow turbines, including fixed speed radial outflow turbines as a special case. The phase plane motion of the system is along a certain hyperbola. Following a power failure during operation, a liquid hammer or pressure pulse occurs and decays quickly as the state of the system surges along the hyperbola toward an equilibrium curve which is an attractor for the relevant wedge region in the phase plane for the de-energized radial outflow turbine. A quantitative estimate is given for the pulse decay. 1 Introduction The hydraulic behavior of variable speed turbines is governed by the conservation or balance laws of mass, energy and momentum. It is assumed here that the mass flows across both the inlet and the outlet of the turbine are the same, so conservation of mass is automatically satisfied. The term hydraulic is used in a generalized sense to refer to any suitable incompressible (or nearly incompressible) liquid such as water but also including other liquids such as oil, liquid natural gas and liquid hydrogen. The present work has been initiated in relation to cryogenic pumps for liquid natural gas. The radial inflow turbine is analyzed in SK [1998]. 1 Radial outflow turbines are less efficient than radial inflow turbines and are therefore not much used in practical system design. However, hydraulic systems can contain elements which, though not intended to operate as outflow turbines, can nevertheless behave like radial outflow turbines in some circumstances. For example if a pump P 1 is operating in series with another pump P 2, and if P 1 is suddenly de-energized at time t 0 while P 2 remains energized, then P 1 mayactasan outflow turbine for t > t 0. Applying the same principles described in SK [1998] a mathematical model is presented here for the radial outflow turbine, and it is shown tht the model predicts a liquid hammer for the outflow turbine. The mathematical study of the flow of fluids through turbines is difficult because typical turbines operate with irregularly shaped internal channels with different curved surfaces and cross sections. As in SK [1998], a simplified black box model is used for the flow of incompressible liquids through radial flow turbines. The model involves only the angular speed of the turbine rotor, the liquid flow rate through the turbine, and the hydraulic pressure head between the turbine inlet and outlet, all considered as functions of time t. For the variable speed turbine, the angular speed of the turbine rotor is denoted as x = x(t) while the liquid flow rate is denoted as y = y(t). If the (constant) inertia of the turbine rotor is denoted as I, then the time rate of change of angular momentum (i.e. the inertial torque) is Idx/ and conservation of angular momentum for the turbine takes the form I dx = T (x, y), (1.1) where the quantity T (x, y) on the right side of (1.1) represents the total noninertial torque (or moment) and consists of two parts T (x, y) = T turb (x, y) + T gen (x, y). (1.2) The first term T turb (x, y) on the right side of (1.2) is the torque due to the rotating turbine shaft while T gen (x, y) is the negative of the applied torque due to the generator. The torque due to the rotating turbine shaft is modelled by the analytical constitutive law T turb (x, y) = τ (y λ 1 x)(y λ 2 x) (1.3) for experimentally determined design parameters τ, λ 1 and λ 2 ; see KIMMEL [1997a, 1997b] for a discussion on the practical determination of analogous parameters. For the radial 1 We denote the reference SMITH AND KIMMEL [1998] as SK [1998]. 1

2 outflow turbine these design parameters satisfy τ>0 and λ 1 >λ 2 0. (1.4) Kimmel s analytical model (1.3) (1.4) is consistent with experimental studies of pump characteristics by KNAPP [1937] as summarized in Figure 13.2 of STEPANOFF [1957]. The experimental results of KNAPP indicate that the curves T turb = const. appear to be hyperbolas with asymptotes given by two distinct straight lines corresponding to the equation T turb = 0; these experimental results are well modelled by (1.3) (1.4). The applied torque function T gen (x, y) in (1.2) is the negative of the generator torque and is modelled by a suitable specified function of the turbine speed x and flow y. In fact T gen is typically taken to depend only on the turbine speed x. For example in the case of a linear generator one uses the model T gen (x, y) = [T 0 + ν (x x 0 )] (1.5) where the constant x 0 is the synchronous speed of the generator, T 0 is the rated shaft torque for variable speed turbines, and the constant ν is a measure of the rate of change of generator torque with respect to speed. In current practice, the two most important cases for the linear model (1.5) are: and Fixed speed generator: T 0 = 0 and ν 0, Variable speed generator: T 0 0 and ν = 0. Combining (1.1) (1.3) yields the following equation for the balance of angular momentum, ɛ dx = (y λ 1 x)(y λ 2 x) T (x, y) (1.6) where the positive constant ɛ is the turbine inertia I scaled by the torque parameter τ, ɛ := I/τ > 0, (1.7) and the function T is the (negative of the) generator torque scaled by τ, T (x, y) := τ 1 T gen (x, y). (1.8) The constant ɛ in (1.7) is small for typical radial flow turbines for common liquids. According to the experimental studies of KNAPP [1937] (see also Fig of STEPANOFF [1957]), the radial outflow turbine is expected to operate in the following wedge region of the phase plane characterized as y λ 1 x for x 0, y 0. (1.9) The assumption (1.9) is used here. Turning now to conservation of energy, let PE(Hydraulic Head) denote the potential energy of the hydraulic head (= hydraulic pressure head), and similarly let KE(Rotating Turbine) denote the kinetic energy of the (centrifugal force of the) rotating turbine shaft while KE(Fluid Flow) denotes the kinetic energy of the fluid flow. Conservation of energy requires a suitable balance between these three energies. A key difference between radial inflow turbines (analyzed in SK [1998]) and radial outflow turbines is that the turbine centrifugal energy KE(Rotating Turbine) reinforces or supplements the kinetic energy of the fluid flow for the inflow turbine, but KE(Rotating Turbine) opposes and partially cancels the effects of the kinetic energy of the fluid flow for the outflow turbine. That is, conservation of energy for the radial inflow turbine requires that the hydraulic pressure head must balance the sum of the kinetic energies, PE(Hydraulic Head) = KE(Fluid Flow) + KE(Rotating Turbine) for the radial inflow turbine, (1.10) whereas for the radial outflow turbine the kinetic energy of the fluid flow alone must balance the combined sum of the hydraulic head pressure and the turbine centrifugal energy with PE(Hydraulic Head)= KE(Fluid Flow) - KE(Rotating Turbine) for the radial outflow turbine. (1.11) It is shown in Section 2 that the energy equation (1.11) for the radial outflow turbine characterizes a family of hyperbolas in the phase plane. The turbine torque (1.3) vanishes along the line y = λ 1 x, and it is shown in Section 3 that this dominant zero torque line is an attractor for the wedge region (1.9) for the de-energized radial outflow turbine. In Section 4 it is shown that a liquid hammer occurs for the de-energized radial outflow turbine, and a quantitative estimate is given for the resulting pulse decay. 2 The Energy Equation Within the framework of classical mechanics, the kinetic energy of a turbine/fluid system depends quadratically on the speeds of motion. For the radial outflow turbine the difference of the kinetic energies appearing on the right side of (1.11) may be modelled by a quadratic relation KE(Fluid Flow) KE(Rotating Turbine) = (βy αx)(βy + γ x) (2.1) 2

3 for experimentally determined design parameters α, β, γ that are positive, α, β, γ > 0, (2.2) where x = x(t) and y = y(t) are the rotation speed of the turbine rotor and the liquid flow rate as in the angular momentum equation (1.6). In addition to the assumption (2.2), we also assume the condition For the special case γ = α, (2.1) reduces to γ α. (2.3) KE(Fluid Flow) KE(Rotating Turbine) = β 2 y 2 α 2 x 2 and in this case one has KE(Rotating Turbine) = α 2 x 2 and KE(Fluid Flow) = β 2 y 2 if α = γ. (2.4) Hence (in the case γ = α) α and β may be thought of as kinetic energy coefficients respectively for the rotating turbine and for the liquid flow. The potential energy of the hydraulic head may be denoted briefly ash, PE(Hydraulic Head) = H, (2.5) where the rate of change of H is assumed to satisfy Joukowski s relation Ḣ = 2jẏ (cf. p. 435 of STEPANOFF [1957]) for a fixed design parameter j known as Joukowski s coefficient. Upon integration of Ḣ = 2jẏ, there holds H = 2 jy + C (2.6) for a constant C of integration. The energy relation (1.11) for the radial outflow turbine can now be written with (2.1), (2.5) and (2.6) as (βy αx)(βy + γ x) + 2 jy = C (2.7) which is to hold during the operation of a given radial outflow turbine/fluid system, for suitable design parameters α, β, γ, and j. The constant C = C(x 1, y 1 ) of integration satisfies C = C(x 1, y 1 ) = (βy 1 αx 1 )(βy 1 + γ x 1 ) + 2 jy 1 (2.8) where x 1 and y 1 may be taken to be the values of the rotation speed and flow at any fixed instant during the operation of the system. A routine calculation (cf. pp of THOMAS [1983]) using (2.2) shows that the equation (2.7) characterizes a family of hyperbolas in the (x, y)-plane, parameterized by the constant C. There is a unique such hyperbola (2.7) passing through each point (x 1, y 1 ) in the plane, with constant given by (2.8). The family of hyperbolas is centered at the point (x, y) with coordinates 2 j (α γ) x = β(α + γ) 2 and y = 4 jαγ β 2 (α + γ) 2 (2.9) and the family has asymptotes given by the two lines L 1 and L 2 passing through (x, y) with respectives slopes α/β and γ/β, L 1 : y = α (x x) + y and β L 2 : y = γ (x x) + y (2.10) β as indicated in Figure 1. The y-intercept of the line L 2 is denoted as y 2 and is negative, y 2 = 2 jγ β 2 (α + γ) < 0 (2.11) since Joukowski s coefficient is positive j > 0. (2.12) L 1 : slope = α/β L 2 : slope = γ/β y 2 < 0 (x, y) Figure 1 The earlier shaft coefficients λ 1 and λ 2 in (1.3) are assumed to be distinct and nonnegative as in (1.4). Moreover, the dominant shaft coefficient is assumed to be larger than the ratio α/β of the energy coefficients, λ 1 > α β. (2.13) The inequalities (1.9) and (2.13) yield y λ 1 x (α/β)x, which with (2.2) implies βy αx 0. Similarly there also holds βy + γ x 0 everywhere in the wedge region (1.9), and these last two inequalities together yield (βy αx)(βy + γ x) 0 (2.14) for all (x, y) in the wedge region (1.9). 3

4 3 The De-Energized Outflow Turbine The discussion in Section 2 shows that the state of the radial outflow turbine/fluid system will move in the phase plane along a fixed hyperbola (2.7) during the operation of the system (as long as the state of the system is not forced to jump or switch from one hyperbola to another by any externally imposed change or modification to any of the model properties). The time evolution of the system is described by the motion of the point (x(t), y(t)) along the appropriate hyperbola, subject to the energy equation (2.7) and the angular momentum equation (1.6). The generator torque function T (x, y) = T (x, y, t) appearing in the angular momentum equation (1.6) may depend explicitly on certain switching times which are values of t for which the form of the torque function may abruptly change. We consider the case of a single switching time t 0 and take the applied generator torque as { Tgen (x, y) for t t T (x, y, t) = 0 (3.1) 0 for t > t 0, for a given nonzero function T gen (x, y) independent of t (for t t 0 ). The time t 0 corresponds to a power failure at which time the generator is de-energized and the previously nonzero generator torque T gen is suddenly switched to zero. The time t 0 is called the disconnect time since the generator may be considered to be disconnected from the turbine at time t 0. During the steady-state energized operation prior to the disconnect time, the driven turbine is assumed to operate at a constant equilibrium state x(t) = x 0 and y(t) = y 0 for t t 0 (3.2) for suitable fixed constants x 0 and y 0 which are the coordinates of the energized equilibrium state in the (x, y) phase plane. The equilibrium state (x 0, y 0 ) corresponds to a balance of (the generally opposing) shaft and generator torques, so the point (x 0, y 0 ) in the phase plane satisfies the equilibrium equation (see (1.6)) (y 0 λ 1 x 0 )(y 0 λ 2 x 0 ) = T gen (x 0, y 0 )>0, (3.3) where the generator torque T gen (x 0, y 0 ) is positive prior to the disconnect time (during the powered or energized operation). The constant equilibrium operating state (x 0, y 0 ) for (1.6) is saiobearated state for the energized turbine, and it lies in the wedge region (1.9). We consider a power failure corresponding to a disconnection of the generator from the turbine at the time t 0 as in (3.1). Following the disconnect time, the system begins to move away from the previous rated equilibrium state (x 0, y 0 ) under the influence of a modified momentum equation (1.6) which now becomes ɛ dx = (y λ 1 x)(y λ 2 x) for t > t 0. (3.4) The functions x(t) and y(t) are assumed to be continuous across the disconnect time, so the system must satisfy the initial conditions x = x 0 and y = y 0 at t = t 0, (3.5) where the initial state (x 0, y 0 ) satisfies (3.3) and (1.9) with y 0 >λ 1 x 0 and x 0, y 0 0 (3.6) Since the rated state satisfies (3.3), we need not consider the (trivial) possibility y 0 = λ 1 x 0. The initial state in (3.5) determines the value of the constant C = C(x 0, y 0 ) in the energy equation (2.7) repeated here, (βy αx)(βy + γ x) + 2 jy = C(x 0, y 0 ) for t t 0 (3.7) with constant C(x 0, y 0 ) := (βy 0 αx 0 )(βy 0 + γ x 0 ) + 2 jy 0 > 0 (3.8) where the positivity of (3.8) follows from (2.12), (2.14) and (3.6). The energy relation (3.7) (3.8) can be solved for y in terms of x, and the resulting expression for y can be inserted into the right side of (3.4). In this way y can be eliminated in terms of x, and the angular momentum equation (3.4) becomes a single first order (regular) nonlinear differential equation for the turbine speed x(t). This differential equation is autonomous and it can be solved explicitly up to quadrature in the form x(t) x 0 dξ [Q(ξ) λ 1 ξ][q(ξ) λ 2 ξ] = t t 0 ɛ with y(t) = Q(x(t)), (3.9) where Q(x) is the function given by the positive root y = Q(x) >0 of the quadratic energy equation (3.7) considered as a function of y. For example, in the case α = γ, there holds j Q(x) = + (αβx) 2 + β 2 C(x 0, y 0 ) j β 2 if α = γ. (3.10) The formula for Q(x) in the case α>γis only slightly more complicated than (3.10) and is omitted here. The remarks leading to (3.9) demonstrate both existence and uniqueness for 4

5 solution functions for the momentum-energy problem (3.4) (3.8). The resulting implicit integral representation (3.9) for the exact solution must be inverted to provide x = x(t), and this inversion is nontrivial from a practical point of view. Hence an approach based on (3.9) is perhaps not best suited for use in obtaining qualitative and quantitative information on the liquid hammer. We follow an alternative approach based on a combination of phase plane and perturbation analyses. The zero torque line y = λ 1 x in the phase plane is a line of equilibrium points for (3.4), which means that any point (x 1, y 1 ) on this line in the phase plane is a fixed point solution. That is, the constant functions x(t) x 1 and y(t) y 1 for all t (3.11) provide solutions for (3.4) if y 1 = λ 1 x 1. (3.12) In this case not only is the generator torque equal to zero (corresponding to disconnected power) but also there is no load because the turbine shaft torque (y λ 1 x)(y λ 2 x) is also zero. y = λ y 1 x y = λ 2 x (x, y ) (x 0, y 0 ) L 1 : slope = α/β L 2 : slope = γ/β x (x, y) y 2 < 0 Figure 2 The initial state (x 0, y 0 ) lies in the wedge region (3.6) characterized by the dominant shaft coefficient λ 1. It follows with (1.4) and (3.4) that the turbine speed satisfies initially dx > 0, (3.13) so x(t) increases initially with increasing t t 0. Hence the motion is to the right along the energy hyperbola (3.7), toward the line y = λ 1 x in the first quadrant, as illustrated in Figure 2. The conditions (2.2), (2.11) and (2.13) guarantee that the resulting solution state (x(t), y(t)) remains in the wedge region (3.6), and (3.13) continues to hold, for all t t 0. Hence the rotational speed x(t) of the turbine is a monotonic increasing function for t t 0, and we now show that the same is true for the fluid flow rate y(t). Differentiating (with respect to time) the energy equation (3.7), and then using the angular momentum equation (3.4) to replace dx/ in that result, yields the following equation on the balance of linear momentum, ɛ dy = (3.14) (y λ 1 x)(y λ 2 x) [β(α γ)y + 2αγ x] 2 j + 2β 2 y + β(γ α)x for t t 0. Since the solution (x(t), y(t)) remains in the wedge region (3.6), it follows with (1.4) that there holds (y λ 1 x)(y λ 2 x)>0 for t t 0. Similarly the other factors on the right side of (3.14) are also positive. For example (1.9), (2.2), (2.3) and (2.13) imply β(α γ)y + 2αγ x β(α γ)λ 1 x + 2αγ x [α(α γ)+ 2αγ]x = α(α + γ)x > 0 for t > t 0, so all factors in the numerator are positive on the right side of (3.14). A similar calculation shows 2βy + (γ α)x 2βλ 1 x + (γ α)x (α + γ)x 0, so (cf. (2.12)) 2 j + 2β 2 y + β(γ α)x 2 j > 0 (3.15) everywhere in the wedge region (1.9). These considerations with (3.14) imply the stated monotonicity result for y = y(t), dy > 0 for t > t 0. (3.16) A routine calculation shows that the intersection point (x, y ) of the zero torque line y λ 1 x = 0 and the hyperbola (3.7) (3.8) in the first quadrant has coordinates x = x (x 0, x 0 ) = (3.17) j 2 λ (βλ 1 α)(βλ 1 + γ) C(x 0, y 0 ) jλ 1 (βλ 1 α)(βλ 1 + γ) y = y (x 0, y 0 ) = λ 1 x (x 0, y 0 ) with positive constant C(x 0, y 0 ) given by (3.8). Note also that (2.13) guarantees the positivity of the quantity (βλ 1 α)(βλ 1 + γ)= β 2 λ β(γ α)λ 1 αγ > 0 (3.18) since the two roots of the quadratic function f (λ) := β 2 λ 2 + β(γ α)λ αγ are λ = γ/β and λ =+α/β, and f (λ) > 0 5

6 for λ = λ 1 >α/β. It follows from (3.8), (3.17) and (3.18) that the limiting point (x, y ) lies in the first quadrant with y = λ 1 x > 0. (3.19) The function x is monotonic increasing by (3.13), and x(t) is bounded above by x. Hence x(t) has a limiting value, say x,ast, and there holds lim t x(t) = x x.itis easy to show (by contradiction) that there must hold x = x. Indeed if there were to hold x < x, then the segment Ɣ0 of the hyperbola (3.7) (3.8) extending between x = x 0 and x = x < x is uniformly bounded away from the lines y = λ 1 x and y = λ 2 x, and the right side of the differential equation satisfies a bound (y λ 1 x)(y λ 2 x) δ>0 (3.20) for a fixed positive constant δ, uniformly on a domain containing the hyperbolic segment Ɣ0 but excluding the point (x, y ). It would follow then from the differential equation (3.4) and the bound (3.20) that x(t 1 ) = x for some finite t 1 satisfying t 0 < t 1 t 0 + ɛ (x x 0 )/δ and also dx(t)/ > 0att = t 1. This would contradict the fact that x is the limiting value of x(t) as t,so x < x is not possible. A similar argument applies to y(t), and this proves lim t x(t) = x and lim t y(t) = y. Collecting these results, we have proved the following theorem based on the stated assumptions (1.4), (1.7), (2.2), (2.3), (2.12) and (2.13). Theorem 1 The dominant (zero torque) equilibrium line y = λ 1 x is an attractor for the wedge region (3.6) in the first quadrant for the momentum-energy system (3.4) (3.8). For initial states (x 0, y 0 ) in the wedge (3.6), the solution state (x(t), y(t)) satisfies y(t) λ 1 x(t) >0 and x(t), y(t) 0 for all t t 0, (3.21) so the state of the system remains in the wedge region (1.9). The solution moves steadily along the hyperbola (3.7) (3.8) toward the limiting state (3.17) located at the point of intersection of the hyperbola and the attracting line y = λ 1 x. The solution approaches the limiting point (x, y ) asymptotically along the hyperbola (3.7) with lim (x(t), y(t)) = t (x, y ), (3.22) but the state of the system never arrives at this limiting point in any finite time. Even though the solution never arrives (in an exact mathematical sense) at the limiting state (3.17) in any finite time, we show in Section 4 that the system moves quickly to a very close proximity of the limiting state when the scaled inertia ɛ is small. Hence, in a practical sense, the state of the system can be considered to arrive essentially (or effectively) at the equilibrium limiting state in a short time that is proportional to the scaled inertia ɛ. 4 The Liquid Hammer When we wish to emphasize the dependence of the solution on the initial state (x 0, y 0 ) for the problem (3.4) (3.8), we denote the solution functions as x(t) = x(t; x 0, y 0 ) and y(t) = y(t; x 0, y 0 ). (4.1) The following theorem, which gives estimates on the differences x(t; x 0, y 0 ) x and y(t; x 0, y 0 ) y between the solution functions and the coordinates of the corresponding limiting equilibrium point (x, y ) of (3.17), is proved using techniques from perturbation theory (cf. SMITH [1985]). Theorem 2 Assume that the initial state (x 0, y 0 ) lies in the wedge region (3.6), and assume that the system parameters ɛ, α, β, γ, λ 1 and λ 2 satisfy the natural inequalites (1.4), (1.7), (2.2), (2.3), (2.12), and (2.13). Then there are fixed positive constants κ>0, ξ>0 and η>0 not depending on ɛ but depending on the initial state and on the other parameters of the problem excluding ɛ, so that the solution functions (4.1) for the energy-momentum initial value problem (3.4) (3.8) satisfy the estimates x(t; x 0, y 0 ) x ξ y 0 λ 1 x 0 e κ(t t 0)/ɛ y(t; x 0, y 0 ) y η y 0 λ 1 x 0 e κ(t t 0)/ɛ for t t 0 (4.2) where the limiting values x = x (x 0, y 0 ) and y = y (x 0, y 0 ) are given by (3.17), and the quantity y 0 λ 1 x 0 is positive. Proof. Subtract λ 1 times the angular momentum equation (3.4) from the linear momentum equation (3.14) and find ɛ d [ y λ1 x ] = A(t) [ y λ 1 x ] (4.3) with A(t) : = [ ] β(α γ)y(t) + 2αγ x(t) λ 1 2 j + 2β 2 y(t) + β(γ α)x(t) [ y(t) λ2 x(t) ], (4.4) 6

7 where (4.3) can be integrated with the initial conditions of (3.5) to yield y(t) λ 1 x(t) = (y 0 λ 1 x 0 ) e 1 ɛ t t 0 A(s)ds for t t 0. (4.5) We now show that A(t) is uniformly positive-valued for t t 0. First note that the multiplicative factor y λ 2 x on the right side of (4.4) has the value y λ 2 x = (λ 1 λ 2 ) x at the limiting terminal point (x, y ) of (3.17), and this value is positive because λ 1 >λ 2 and x > 0. Similarly this factor has a positive value at the initial point (x 0, y 0 ) since (1.4) implies y λ 2 x y λ 1 x on the wedge (1.9), and the last quantity is positive at the initial point by (3.6). In fact the factor y λ 2 x is uniformly positive along the entire portion Ɣ 0 of the hyperbola (3.7) (3.8) between the initial state (x 0, y 0 ) and the limiting state (x, y ) since this (compact) portion Ɣ 0 of the hyperbola is bounded away from the line y = λ 2 x; cf. Figure 2. Hence there holds min[y λ 2 x] = min Ɣ0 x 0 x x [Q(x) λ 2x] > 0, (4.6) where Q(x) is the function given by the positive root y = Q(x) >0 of the quadratic energy equation (3.7) considered as a function of y (as in (3.9)). For the other factor on the right side of (4.4), a routine estimation gives β(α γ)y + 2αγ x λ 1 2 j + 2β 2 (4.7) y + β(γ α)x 2 jλ 1 + (α + γ )(βy αx) 2 j + 2β 2 y + β(γ α)x everywhere in the wedge region (1.9). The expression on the right side of (4.7) is uniformly bounded (cf. (3.15)) and uniformly positive everywhere on the (compact) portion Ɣ0 of the energy curve (3.7) (3.8), including at the endpoints (x 0, y 0 ) and (x, y ). These remarks with (4.4) imply the existence of a fixed positive constant κ for which there holds A(t) κ>0 for t t 0 (4.8) where κ will generally depend on the parameters x 0, y 0, α, β, γ, λ 1 and λ 2,butκ does not depend on ɛ. From (4.5) and (4.8) there follows immediately (see the simpler calculation in Section 4 of SK [1998]) 0 < y(t) λ 1 x(t) [y 0 λ 1 x 0 ] e κ (t t 0)/ɛ for t t 0. (4.9) The angular momentum equation (3.4) can be integrated between t and t 1 > t to yield x(t 1 ) x(t) = 1 ɛ t1 t [ y(s) λ1 x(s) ][ y(s) λ 2 x(s) ] ds 0 for t 0 t t 1, which with (4.9) implies 0 x(t 1 ) x(t) µ ɛ y 0 λ 1 x 0 t1 t e κ (s t 0)/ɛ ds (4.10) with µ := max y λ 2 x = max Q(x) λ 2x Ɣ0 x 0 x x where Ɣ0 is the segment of the hyperbola (3.7) (3.8) extending between (x 0, y 0 ) and (x, y ). The integral on the right side of (4.10) can be evaluated, and (4.10) implies 0 x(t 1 ) x(t) (4.11) µ κ y 0 λ 1 x 0 [e ] κ (t t0)/ɛ e κ (t 1 t 0 )/ɛ µ κ y 0 λ 1 x 0 e κ (t t 0)/ɛ for t 1 > t t 0. Passing to the limit t 1 in (4.11) and using (3.22) yields the stated estimate of (4.2) for x(t) with constant ξ = µ/κ. A corresponding estimate for y(t) (as in (4.2)) follows directly from the estimate (4.9) for y λ 1 x and the estimate of (4.2) for x, using y = (y λ 1 x) + λ 1 x. Remaining details are omitted. The estimates of (4.2) imply that, for small ɛ > 0, the functions x(t) and y(t) tend rapidly toward their constant limiting values x and y. For example (4.2) implies for x upon integration ( ) ξ x y0 λ 1 x 0 x(t) ɛ, t 0 κ and an analogous result holds for y(t). Hence for t t 0 the area between the graphs of x and x(t) (and similarly, the area between y and y(t)) is small, of order ɛ, as indicated in Figure 3 for x(t). Quantitative information can be obtained on the magnitudes of the positive constants κ, ξ and η in (4.2) in terms of the data, along the lines of the result (4.3) of SK [1998] for an analogous parameter κ in the case of the radial inflow turbine. x x(t) x x 0 t 0 Figure 3 t 0 + ε t 7

8 Acknowledgement The author wishes to acknowledge Hans E. Kimmel for the contribution of the mathematical model for radial outflow turbines. References [1] Kimmel, H. E. 1997a Speed controlled turbine expanders in hydrocarbon liquefaction processes, The International Journal of Hydrocarbon Engineering 1 (3), (Surrey, England: Palladian Publications Ltd.). [2] Kimmel, H. E. 1997b Hydraulic performance of speed controlled turbines for power recovery in cryogenic and chemical processing, World Pumps (Oxford, England: Elsevier), June 1997 issue, pp [3] Knapp, R. T Complete characteristics of centrifugal pumps and their use in the prediction of transient behavior, Trans. A.S.M.E., Nov. 1937, pp [4] Smith, D. R Singular Perturbation Theory (Cambridge, England: Cambridge University Press). [5] Smith, D. R. and Kimmel, H. E Liquid hammer for the de-energized radial inflow turbine generator, Methods and Applications of Analysis 5 (2), pp [6] Stepanoff, A. J Centrifugal and Axial Flow Pumps (Wiley, 2 nd ed.). [7] Thomas, G. B. Jr Calculus and Analytic Geometry: The Classic Edition (Addison-Wesley). 8

Sarah Alison-Youel Research & Development Ebara International - Cryodynamics Sparks, NV USA. AIChE Spring Meeting Tampa, FL April 2009

Sarah Alison-Youel Research & Development Ebara International - Cryodynamics Sparks, NV USA. AIChE Spring Meeting Tampa, FL April 2009 Sarah Alison-Youel Research & Development Ebara International - Cryodynamics Sparks, NV USA AIChE Spring Meeting Tampa, FL April 2009 Sarah Alison-Youel received a Bachelor of Science degree in Mechanical

More information

FEDSM99 S-291 AXIAL ROTOR OSCILLATIONS IN CRYOGENIC FLUID MACHINERY

FEDSM99 S-291 AXIAL ROTOR OSCILLATIONS IN CRYOGENIC FLUID MACHINERY Proceedings of the 3 rd ASME/JSME Joint Fluids Engineering Conference 1999 ASME Fluids Engineering Division Summer Meeting July 18-23 1999, San Francisco, California FEDSM99 S-291 AXIAL ROTOR OSCILLATIONS

More information

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games

Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Stability of Feedback Solutions for Infinite Horizon Noncooperative Differential Games Alberto Bressan ) and Khai T. Nguyen ) *) Department of Mathematics, Penn State University **) Department of Mathematics,

More information

Lecture 4: Numerical solution of ordinary differential equations

Lecture 4: Numerical solution of ordinary differential equations Lecture 4: Numerical solution of ordinary differential equations Department of Mathematics, ETH Zürich General explicit one-step method: Consistency; Stability; Convergence. High-order methods: Taylor

More information

THE KIMMEL EQUATION FOR HYDRAULICALLY DAMPED AXIAL ROTOR OSCILLATIONS

THE KIMMEL EQUATION FOR HYDRAULICALLY DAMPED AXIAL ROTOR OSCILLATIONS The 9th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery Honolulu, Hawaii, February -4, THE KIMMEL EQUATION FOR HYDRAULICALLY DAMPED AXIAL ROTOR OSCILLATIONS Philip R.

More information

Nonlinear Control Systems

Nonlinear Control Systems Nonlinear Control Systems António Pedro Aguiar pedro@isr.ist.utl.pt 3. Fundamental properties IST-DEEC PhD Course http://users.isr.ist.utl.pt/%7epedro/ncs2012/ 2012 1 Example Consider the system ẋ = f

More information

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D.

ẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D. 4 Periodic Solutions We have shown that in the case of an autonomous equation the periodic solutions correspond with closed orbits in phase-space. Autonomous two-dimensional systems with phase-space R

More information

Module 2: Reflecting on One s Problems

Module 2: Reflecting on One s Problems MATH55 Module : Reflecting on One s Problems Main Math concepts: Translations, Reflections, Graphs of Equations, Symmetry Auxiliary ideas: Working with quadratics, Mobius maps, Calculus, Inverses I. Transformations

More information

Introduction to Turbomachinery

Introduction to Turbomachinery 1. Coordinate System Introduction to Turbomachinery Since there are stationary and rotating blades in turbomachines, they tend to form a cylindrical form, represented in three directions; 1. Axial 2. Radial

More information

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions Math 50 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 205 Homework #5 Solutions. Let α and c be real numbers, c > 0, and f is defined

More information

u xx + u yy = 0. (5.1)

u xx + u yy = 0. (5.1) Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function

More information

Relevant sections from AMATH 351 Course Notes (Wainwright): 1.3 Relevant sections from AMATH 351 Course Notes (Poulin and Ingalls): 1.1.

Relevant sections from AMATH 351 Course Notes (Wainwright): 1.3 Relevant sections from AMATH 351 Course Notes (Poulin and Ingalls): 1.1. Lecture 8 Qualitative Behaviour of Solutions to ODEs Relevant sections from AMATH 351 Course Notes (Wainwright): 1.3 Relevant sections from AMATH 351 Course Notes (Poulin and Ingalls): 1.1.1 The last few

More information

Two-Body Problem. Central Potential. 1D Motion

Two-Body Problem. Central Potential. 1D Motion Two-Body Problem. Central Potential. D Motion The simplest non-trivial dynamical problem is the problem of two particles. The equations of motion read. m r = F 2, () We already know that the center of

More information

Stepping Motors. Chapter 11 L E L F L D

Stepping Motors. Chapter 11 L E L F L D Chapter 11 Stepping Motors In the synchronous motor, the combination of sinusoidally distributed windings and sinusoidally time varying current produces a smoothly rotating magnetic field. We can eliminate

More information

Banach Journal of Mathematical Analysis ISSN: (electronic)

Banach Journal of Mathematical Analysis ISSN: (electronic) Banach J. Math. Anal. 1 (2007), no. 1, 56 65 Banach Journal of Mathematical Analysis ISSN: 1735-8787 (electronic) http://www.math-analysis.org SOME REMARKS ON STABILITY AND SOLVABILITY OF LINEAR FUNCTIONAL

More information

ENGI 9420 Lecture Notes 4 - Stability Analysis Page Stability Analysis for Non-linear Ordinary Differential Equations

ENGI 9420 Lecture Notes 4 - Stability Analysis Page Stability Analysis for Non-linear Ordinary Differential Equations ENGI 940 Lecture Notes 4 - Stability Analysis Page 4.01 4. Stability Analysis for Non-linear Ordinary Differential Equations A pair of simultaneous first order homogeneous linear ordinary differential

More information

Multiplicity in Parameter-Dependent Problems for Ordinary Differential Equations

Multiplicity in Parameter-Dependent Problems for Ordinary Differential Equations Mathematical Modelling and Analysis Volume Number, 009, pages 03 Doi:0.386/39-69.009..03- c Vilnius Gediminas Technical University, 009 ISSN 39-69 print ISSN 68-30 online www.vgtu.lt/mma/ Multiplicity

More information

θ α W Description of aero.m

θ α W Description of aero.m Description of aero.m Determination of the aerodynamic forces, moments and power by means of the blade element method; for known mean wind speed, induction factor etc. Simplifications: uniform flow (i.e.

More information

Stochastic Volatility and Correction to the Heat Equation

Stochastic Volatility and Correction to the Heat Equation Stochastic Volatility and Correction to the Heat Equation Jean-Pierre Fouque, George Papanicolaou and Ronnie Sircar Abstract. From a probabilist s point of view the Twentieth Century has been a century

More information

THE CONVECTION DIFFUSION EQUATION

THE CONVECTION DIFFUSION EQUATION 3 THE CONVECTION DIFFUSION EQUATION We next consider the convection diffusion equation ɛ 2 u + w u = f, (3.) where ɛ>. This equation arises in numerous models of flows and other physical phenomena. The

More information

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI (after: D.J. ACHESON s Elementary Fluid Dynamics ) bluebox.ippt.pan.pl/

More information

This is example 3 on page 44 of BGH and example (b) on page 66 of Troutman.

This is example 3 on page 44 of BGH and example (b) on page 66 of Troutman. Chapter 4 The brachistochrone This is example 3 on page 44 of BGH and example (b) on page 66 of Troutman. We seek the shape of a frictionless wire starting at the origin and ending at some point (, d)

More information

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1.

S chauder Theory. x 2. = log( x 1 + x 2 ) + 1 ( x 1 + x 2 ) 2. ( 5) x 1 + x 2 x 1 + x 2. 2 = 2 x 1. x 1 x 2. 1 x 1. Sep. 1 9 Intuitively, the solution u to the Poisson equation S chauder Theory u = f 1 should have better regularity than the right hand side f. In particular one expects u to be twice more differentiable

More information

Nonlinear Dynamical Systems Lecture - 01

Nonlinear Dynamical Systems Lecture - 01 Nonlinear Dynamical Systems Lecture - 01 Alexandre Nolasco de Carvalho August 08, 2017 Presentation Course contents Aims and purpose of the course Bibliography Motivation To explain what is a dynamical

More information

LMI Methods in Optimal and Robust Control

LMI Methods in Optimal and Robust Control LMI Methods in Optimal and Robust Control Matthew M. Peet Arizona State University Lecture 15: Nonlinear Systems and Lyapunov Functions Overview Our next goal is to extend LMI s and optimization to nonlinear

More information

MATH 215/255 Solutions to Additional Practice Problems April dy dt

MATH 215/255 Solutions to Additional Practice Problems April dy dt . For the nonlinear system MATH 5/55 Solutions to Additional Practice Problems April 08 dx dt = x( x y, dy dt = y(.5 y x, x 0, y 0, (a Show that if x(0 > 0 and y(0 = 0, then the solution (x(t, y(t of the

More information

vector H. If O is the point about which moments are desired, the angular moment about O is given:

vector H. If O is the point about which moments are desired, the angular moment about O is given: The angular momentum A control volume analysis can be applied to the angular momentum, by letting B equal to angularmomentum vector H. If O is the point about which moments are desired, the angular moment

More information

Numerical methods for the Navier- Stokes equations

Numerical methods for the Navier- Stokes equations Numerical methods for the Navier- Stokes equations Hans Petter Langtangen 1,2 1 Center for Biomedical Computing, Simula Research Laboratory 2 Department of Informatics, University of Oslo Dec 6, 2012 Note:

More information

Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Introduction to Fluid Machines and Compressible Flow Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur Lecture - 1 Introduction to Fluid Machines Well, good

More information

Energy-based Swing-up of the Acrobot and Time-optimal Motion

Energy-based Swing-up of the Acrobot and Time-optimal Motion Energy-based Swing-up of the Acrobot and Time-optimal Motion Ravi N. Banavar Systems and Control Engineering Indian Institute of Technology, Bombay Mumbai-476, India Email: banavar@ee.iitb.ac.in Telephone:(91)-(22)

More information

y 2y = 4 x, Name Form Solution method

y 2y = 4 x, Name Form Solution method An Introduction to Higher-Order Differential Equations Up to this point in the class, we have only specifically studied solution techniques for first-order differential equations, i.e. equations whose

More information

ASTATISM IN NONLINEAR CONTROL SYSTEMS WITH APPLICATION TO ROBOTICS

ASTATISM IN NONLINEAR CONTROL SYSTEMS WITH APPLICATION TO ROBOTICS dx dt DIFFERENTIAL EQUATIONS AND CONTROL PROCESSES N 1, 1997 Electronic Journal, reg. N P23275 at 07.03.97 http://www.neva.ru/journal e-mail: diff@osipenko.stu.neva.ru Control problems in nonlinear systems

More information

LAW OF LARGE NUMBERS FOR THE SIRS EPIDEMIC

LAW OF LARGE NUMBERS FOR THE SIRS EPIDEMIC LAW OF LARGE NUMBERS FOR THE SIRS EPIDEMIC R. G. DOLGOARSHINNYKH Abstract. We establish law of large numbers for SIRS stochastic epidemic processes: as the population size increases the paths of SIRS epidemic

More information

c 2007 Society for Industrial and Applied Mathematics

c 2007 Society for Industrial and Applied Mathematics SIAM J MATH ANAL Vol 38, No 5, pp 474 488 c 007 Society for Industrial and Applied Mathematics OPTIMAL TRACING OF VISCOUS SHOCKS IN SOLUTIONS OF VISCOUS CONSERVATION LAWS WEN SHEN AND MEE REA PARK Abstract

More information

Numerical Simulation of a Complete Francis Turbine including unsteady rotor/stator interactions

Numerical Simulation of a Complete Francis Turbine including unsteady rotor/stator interactions Numerical Simulation of a Complete Francis Turbine including unsteady rotor/stator interactions Ruprecht, A., Heitele, M., Helmrich, T. Institute for Fluid Mechanics and Hydraulic Machinery University

More information

SECTION 2.7: NONLINEAR INEQUALITIES

SECTION 2.7: NONLINEAR INEQUALITIES (Section 2.7: Nonlinear Inequalities) 2.77 SECTION 2.7: NONLINEAR INEQUALITIES We solved linear inequalities to find domains, and we discussed intervals in Section 1.4: Notes 1.24 to 1.30. In this section,

More information

Converse Lyapunov theorem and Input-to-State Stability

Converse Lyapunov theorem and Input-to-State Stability Converse Lyapunov theorem and Input-to-State Stability April 6, 2014 1 Converse Lyapunov theorem In the previous lecture, we have discussed few examples of nonlinear control systems and stability concepts

More information

Some Notes on Linear Algebra

Some Notes on Linear Algebra Some Notes on Linear Algebra prepared for a first course in differential equations Thomas L Scofield Department of Mathematics and Statistics Calvin College 1998 1 The purpose of these notes is to present

More information

Chapter 7 The Energy Equation

Chapter 7 The Energy Equation Chapter 7 The Energy Equation 7.1 Energy, Work, and Power When matter has energy, the matter can be used to do work. A fluid can have several forms of energy. For example a fluid jet has kinetic energy,

More information

Homework 4 Solutions, 2/2/7

Homework 4 Solutions, 2/2/7 Homework 4 Solutions, 2/2/7 Question Given that the number a is such that the following limit L exists, determine a and L: x 3 a L x 3 x 2 7x + 2. We notice that the denominator x 2 7x + 2 factorizes as

More information

Problem set 7 Math 207A, Fall 2011 Solutions

Problem set 7 Math 207A, Fall 2011 Solutions Problem set 7 Math 207A, Fall 2011 s 1. Classify the equilibrium (x, y) = (0, 0) of the system x t = x, y t = y + x 2. Is the equilibrium hyperbolic? Find an equation for the trajectories in (x, y)- phase

More information

Design and Analysis of Algorithms Lecture Notes on Convex Optimization CS 6820, Fall Nov 2 Dec 2016

Design and Analysis of Algorithms Lecture Notes on Convex Optimization CS 6820, Fall Nov 2 Dec 2016 Design and Analysis of Algorithms Lecture Notes on Convex Optimization CS 6820, Fall 206 2 Nov 2 Dec 206 Let D be a convex subset of R n. A function f : D R is convex if it satisfies f(tx + ( t)y) tf(x)

More information

Discontinuous Distributions in Mechanics of Materials

Discontinuous Distributions in Mechanics of Materials Discontinuous Distributions in Mechanics of Materials J.E. Akin, Rice University 1. Introduction The study of the mechanics of materials continues to change slowly. The student needs to learn about software

More information

3 Generation and diffusion of vorticity

3 Generation and diffusion of vorticity Version date: March 22, 21 1 3 Generation and diffusion of vorticity 3.1 The vorticity equation We start from Navier Stokes: u t + u u = 1 ρ p + ν 2 u 1) where we have not included a term describing a

More information

Math 266: Phase Plane Portrait

Math 266: Phase Plane Portrait Math 266: Phase Plane Portrait Long Jin Purdue, Spring 2018 Review: Phase line for an autonomous equation For a single autonomous equation y = f (y) we used a phase line to illustrate the equilibrium solutions

More information

/639 Final Examination Solutions

/639 Final Examination Solutions 58.439/639 Final Examination Solutions Problem 1 Part a) The A group binds in a region of the molecule that is designed to attract potassium ions, by having net negative charges surrounding the pore; the

More information

Angular momentum equation

Angular momentum equation Angular momentum equation For angular momentum equation, B =H O the angular momentum vector about point O which moments are desired. Where β is The Reynolds transport equation can be written as follows:

More information

Math 124A October 11, 2011

Math 124A October 11, 2011 Math 14A October 11, 11 Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This corresponds to a string of infinite length. Although

More information

Vector Calculus, Maths II

Vector Calculus, Maths II Section A Vector Calculus, Maths II REVISION (VECTORS) 1. Position vector of a point P(x, y, z) is given as + y and its magnitude by 2. The scalar components of a vector are its direction ratios, and represent

More information

TTK4150 Nonlinear Control Systems Solution 6 Part 2

TTK4150 Nonlinear Control Systems Solution 6 Part 2 TTK4150 Nonlinear Control Systems Solution 6 Part 2 Department of Engineering Cybernetics Norwegian University of Science and Technology Fall 2003 Solution 1 Thesystemisgivenby φ = R (φ) ω and J 1 ω 1

More information

Where does Bernoulli's Equation come from?

Where does Bernoulli's Equation come from? Where does Bernoulli's Equation come from? Introduction By now, you have seen the following equation many times, using it to solve simple fluid problems. P ρ + v + gz = constant (along a streamline) This

More information

Geometry and Motion, MA 134 Week 1

Geometry and Motion, MA 134 Week 1 Geometry and Motion, MA 134 Week 1 Mario J. Micallef Spring, 2007 Warning. These handouts are not intended to be complete lecture notes. They should be supplemented by your own notes and, importantly,

More information

APPLICATION OF THE COUPLED THREE DIMENSIONAL THERMAL- HYDRAULICS AND NEUTRON KINETICS MODELS TO PWR STEAM LINE BREAK ANALYSIS

APPLICATION OF THE COUPLED THREE DIMENSIONAL THERMAL- HYDRAULICS AND NEUTRON KINETICS MODELS TO PWR STEAM LINE BREAK ANALYSIS APPLICATION OF THE COUPLED THREE DIMENSIONAL THERMAL- HYDRAULICS AND NEUTRON KINETICS MODELS TO PWR STEAM LINE BREAK ANALYSIS Michel GONNET and Michel CANAC FRAMATOME Tour Framatome. Cedex 16, Paris-La

More information

MATH 205C: STATIONARY PHASE LEMMA

MATH 205C: STATIONARY PHASE LEMMA MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)

More information

Research Article Response of a Warped Flexible Rotor with a Fluid Bearing

Research Article Response of a Warped Flexible Rotor with a Fluid Bearing Hindawi Publishing Corporation International Journal of Rotating Machinery Volume 8, Article ID 753, 9 pages doi:.55/8/753 Research Article Response of a Warped Flexible Rotor with a Fluid Bearing Jim

More information

First-Order Ordinary Differntial Equations II: Autonomous Case. David Levermore Department of Mathematics University of Maryland.

First-Order Ordinary Differntial Equations II: Autonomous Case. David Levermore Department of Mathematics University of Maryland. First-Order Ordinary Differntial Equations II: Autonomous Case David Levermore Department of Mathematics University of Maryland 25 February 2009 These notes cover some of the material that we covered in

More information

IJREAS Volume 2, Issue 2 (February 2012) ISSN:

IJREAS Volume 2, Issue 2 (February 2012) ISSN: DESIGN AND CFD ANALYSIS OF SINGLE STAGE, END SUCTION, RADIAL FLOW CENTRIFUGAL PUMP FOR MINE DEWATERING APPLICATION Swapnil Urankar * Dr. H S Shivashankar ** Sourabh Gupta *** ABSTRACT Heavy centrifugal

More information

Solution of Additional Exercises for Chapter 4

Solution of Additional Exercises for Chapter 4 1 1. (1) Try V (x) = 1 (x 1 + x ). Solution of Additional Exercises for Chapter 4 V (x) = x 1 ( x 1 + x ) x = x 1 x + x 1 x In the neighborhood of the origin, the term (x 1 + x ) dominates. Hence, the

More information

Communicating with accelerated observers in Minkowski spacetime

Communicating with accelerated observers in Minkowski spacetime IOP PUBLISHING Eur. J. Phys. 29 (2008) 73 84 EUROPEAN JOURNAL OF PHYSICS doi:10.1088/0143-0807/29/1/007 Communicating with accelerated observers in Minkowski spacetime F J Flores Philosophy Department,

More information

Regularity for Poisson Equation

Regularity for Poisson Equation Regularity for Poisson Equation OcMountain Daylight Time. 4, 20 Intuitively, the solution u to the Poisson equation u= f () should have better regularity than the right hand side f. In particular one expects

More information

Homework Exercises and Solutions for Mathematics Fall 2016

Homework Exercises and Solutions for Mathematics Fall 2016 Homework Exercises and Solutions for Mathematics 677 - Fall 216 Remark: Solutions may include maple files or matlab files. Assignment 1: (due Sept. 27, 216 1. In the real world trimolecular reactions are

More information

Pump-turbine characteristics for analysis of unsteady flows

Pump-turbine characteristics for analysis of unsteady flows Pump-turbine characteristics for analysis of unsteady flows Z. Giljen 1, M. Nedeljković 2 and Y. G. Cheng 3 1 PhD student, Senior engineer for mechanical works, Business and Technical Development Directorate,

More information

Notes for Expansions/Series and Differential Equations

Notes for Expansions/Series and Differential Equations Notes for Expansions/Series and Differential Equations In the last discussion, we considered perturbation methods for constructing solutions/roots of algebraic equations. Three types of problems were illustrated

More information

Nonlinear Dynamic Analysis of a Hydrodynamic Journal Bearing Considering the Effect of a Rotating or Stationary Herringbone Groove

Nonlinear Dynamic Analysis of a Hydrodynamic Journal Bearing Considering the Effect of a Rotating or Stationary Herringbone Groove G. H. Jang e-mail: ghjang@hanyang.ac.kr J. W. Yoon PREM, Department of Mechanical Engineering, Hanyang University, Seoul, 133-791, Korea Nonlinear Dynamic Analysis of a Hydrodynamic Journal Bearing Considering

More information

Binary-coded and real-coded genetic algorithm in pipeline flow optimization

Binary-coded and real-coded genetic algorithm in pipeline flow optimization Mathematical Communications 41999), 35-42 35 Binary-coded and real-coded genetic algorithm in pipeline flow optimization Senka Vuković and Luka Sopta Abstract. The mathematical model for the liquid-gas

More information

Waves in a Shock Tube

Waves in a Shock Tube Waves in a Shock Tube Ivan Christov c February 5, 005 Abstract. This paper discusses linear-wave solutions and simple-wave solutions to the Navier Stokes equations for an inviscid and compressible fluid

More information

AP Calculus 2004 AB FRQ Solutions

AP Calculus 2004 AB FRQ Solutions AP Calculus 4 AB FRQ Solutions Louis A. Talman, Ph. D. Emeritus Professor of Mathematics Metropolitan State University of Denver July, 7 Problem. Part a The function F (t) = 8 + 4 sin(t/) gives the rate,

More information

DYNAMIC BIFURCATION THEORY OF RAYLEIGH-BÉNARD CONVECTION WITH INFINITE PRANDTL NUMBER

DYNAMIC BIFURCATION THEORY OF RAYLEIGH-BÉNARD CONVECTION WITH INFINITE PRANDTL NUMBER DYNAMIC BIFURCATION THEORY OF RAYLEIGH-BÉNARD CONVECTION WITH INFINITE PRANDTL NUMBER JUNGHO PARK Abstract. We study in this paper the bifurcation and stability of the solutions of the Rayleigh-Bénard

More information

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs

BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs BIFURCATION PHENOMENA Lecture 1: Qualitative theory of planar ODEs Yuri A. Kuznetsov August, 2010 Contents 1. Solutions and orbits. 2. Equilibria. 3. Periodic orbits and limit cycles. 4. Homoclinic orbits.

More information

EN Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015

EN Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015 EN530.678 Nonlinear Control and Planning in Robotics Lecture 3: Stability February 4, 2015 Prof: Marin Kobilarov 0.1 Model prerequisites Consider ẋ = f(t, x). We will make the following basic assumptions

More information

Minimum-Phase Property of Nonlinear Systems in Terms of a Dissipation Inequality

Minimum-Phase Property of Nonlinear Systems in Terms of a Dissipation Inequality Minimum-Phase Property of Nonlinear Systems in Terms of a Dissipation Inequality Christian Ebenbauer Institute for Systems Theory in Engineering, University of Stuttgart, 70550 Stuttgart, Germany ce@ist.uni-stuttgart.de

More information

Nonlinear Autonomous Systems of Differential

Nonlinear Autonomous Systems of Differential Chapter 4 Nonlinear Autonomous Systems of Differential Equations 4.0 The Phase Plane: Linear Systems 4.0.1 Introduction Consider a system of the form x = A(x), (4.0.1) where A is independent of t. Such

More information

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t) IV. DIFFERENTIAL RELATIONS FOR A FLUID PARTICLE This chapter presents the development and application of the basic differential equations of fluid motion. Simplifications in the general equations and common

More information

The method of stationary phase

The method of stationary phase Chapter The method of stationary phase In this chapter we introduce a very useful analytical tool which will allow us to find asymptotic expansions for integrals that cannot, in many cases, be calculated

More information

Foliations of hyperbolic space by constant mean curvature surfaces sharing ideal boundary

Foliations of hyperbolic space by constant mean curvature surfaces sharing ideal boundary Foliations of hyperbolic space by constant mean curvature surfaces sharing ideal boundary David Chopp and John A. Velling December 1, 2003 Abstract Let γ be a Jordan curve in S 2, considered as the ideal

More information

Lecture 4. Alexey Boyarsky. October 6, 2015

Lecture 4. Alexey Boyarsky. October 6, 2015 Lecture 4 Alexey Boyarsky October 6, 2015 1 Conservation laws and symmetries 1.1 Ignorable Coordinates During the motion of a mechanical system, the 2s quantities q i and q i, (i = 1, 2,..., s) which specify

More information

Numerical techniques. Chapter Difference equations

Numerical techniques. Chapter Difference equations Chapter 6 Numerical techniques The differential equations (4.61), (4.62) and (4.64), in combination with boundary conditions such as equations (4.65) (4.68), constitute a two point boundary value problem.

More information

Stability Implications of Bendixson s Criterion

Stability Implications of Bendixson s Criterion Wilfrid Laurier University Scholars Commons @ Laurier Mathematics Faculty Publications Mathematics 1998 Stability Implications of Bendixson s Criterion C. Connell McCluskey Wilfrid Laurier University,

More information

THE COMPUTATION OF FLUID-INDUCED FORCES ON CENTRIFUGAL IMPELLERS ROTATING AND WHIRLING IN A VOLUTE CASING. N s Specific speed (Q 1 2 =(gh) 3 4 )

THE COMPUTATION OF FLUID-INDUCED FORCES ON CENTRIFUGAL IMPELLERS ROTATING AND WHIRLING IN A VOLUTE CASING. N s Specific speed (Q 1 2 =(gh) 3 4 ) The 1997 ASME Fluids Engineering Division Summer Meeting FEDSM 97 June 6, 1997 FEDSM97 338 THE COMPUTATON OF FLUD-NDUCED FORCES ON CENTRFUGAL MPELLERS ROTATNG AND WHRLNG N A VOLUTE CASNG R.G.K.M. Aarts

More information

Mathematical Tripos Part IA Lent Term Example Sheet 1. Calculate its tangent vector dr/du at each point and hence find its total length.

Mathematical Tripos Part IA Lent Term Example Sheet 1. Calculate its tangent vector dr/du at each point and hence find its total length. Mathematical Tripos Part IA Lent Term 205 ector Calculus Prof B C Allanach Example Sheet Sketch the curve in the plane given parametrically by r(u) = ( x(u), y(u) ) = ( a cos 3 u, a sin 3 u ) with 0 u

More information

Stabilization of a 3D Rigid Pendulum

Stabilization of a 3D Rigid Pendulum 25 American Control Conference June 8-, 25. Portland, OR, USA ThC5.6 Stabilization of a 3D Rigid Pendulum Nalin A. Chaturvedi, Fabio Bacconi, Amit K. Sanyal, Dennis Bernstein, N. Harris McClamroch Department

More information

Chapter 7 Curved Spacetime and General Covariance

Chapter 7 Curved Spacetime and General Covariance Chapter 7 Curved Spacetime and General Covariance In this chapter we generalize the discussion of preceding chapters to extend covariance to more general curved spacetimes. 145 146 CHAPTER 7. CURVED SPACETIME

More information

Title of communication, titles not fitting in one line will break automatically

Title of communication, titles not fitting in one line will break automatically Title of communication titles not fitting in one line will break automatically First Author Second Author 2 Department University City Country 2 Other Institute City Country Abstract If you want to add

More information

Salmon: Lectures on partial differential equations

Salmon: Lectures on partial differential equations 6. The wave equation Of the 3 basic equations derived in the previous section, we have already discussed the heat equation, (1) θ t = κθ xx + Q( x,t). In this section we discuss the wave equation, () θ

More information

Nonlinear dynamics & chaos BECS

Nonlinear dynamics & chaos BECS Nonlinear dynamics & chaos BECS-114.7151 Phase portraits Focus: nonlinear systems in two dimensions General form of a vector field on the phase plane: Vector notation: Phase portraits Solution x(t) describes

More information

Numerical Simulation of Pressure Surge with the Method of Characteristics

Numerical Simulation of Pressure Surge with the Method of Characteristics Numerical Simulation of Pressure Surge with the Method of Characteristics R. Fiereder 02.04.2009 Saint Petersburg, Russia Content Motivation Governing Equations Continuity Equation Momentum Equation Method

More information

Tentative Physics 1 Standards

Tentative Physics 1 Standards Tentative Physics 1 Standards Mathematics MC1. Arithmetic: I can add, subtract, multiply, and divide real numbers, take their natural and common logarithms, and raise them to real powers and take real

More information

4 Mechanics of Fluids (I)

4 Mechanics of Fluids (I) 1. The x and y components of velocity for a two-dimensional flow are u = 3.0 ft/s and v = 9.0x ft/s where x is in feet. Determine the equation for the streamlines and graph representative streamlines in

More information

For an imposed stress history consisting of a rapidly applied step-function jump in

For an imposed stress history consisting of a rapidly applied step-function jump in Problem 2 (20 points) MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING CAMBRIDGE, MASSACHUSETTS 0239 2.002 MECHANICS AND MATERIALS II SOLUTION for QUIZ NO. October 5, 2003 For

More information

Nonlinear Control Lecture # 1 Introduction. Nonlinear Control

Nonlinear Control Lecture # 1 Introduction. Nonlinear Control Nonlinear Control Lecture # 1 Introduction Nonlinear State Model ẋ 1 = f 1 (t,x 1,...,x n,u 1,...,u m ) ẋ 2 = f 2 (t,x 1,...,x n,u 1,...,u m ).. ẋ n = f n (t,x 1,...,x n,u 1,...,u m ) ẋ i denotes the derivative

More information

The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System

The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System 1 The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System M. M. Alomari and B. S. Rodanski University of Technology, Sydney (UTS) P.O. Box 123, Broadway NSW 2007, Australia

More information

MATH 415, WEEKS 7 & 8: Conservative and Hamiltonian Systems, Non-linear Pendulum

MATH 415, WEEKS 7 & 8: Conservative and Hamiltonian Systems, Non-linear Pendulum MATH 415, WEEKS 7 & 8: Conservative and Hamiltonian Systems, Non-linear Pendulum Reconsider the following example from last week: dx dt = x y dy dt = x2 y. We were able to determine many qualitative features

More information

Modeling and Experimentation: Compound Pendulum

Modeling and Experimentation: Compound Pendulum Modeling and Experimentation: Compound Pendulum Prof. R.G. Longoria Department of Mechanical Engineering The University of Texas at Austin Fall 2014 Overview This lab focuses on developing a mathematical

More information

EFFECT OF HYDRODYNAMIC THRUST BEARINGS ON ROTORDYNAMICS

EFFECT OF HYDRODYNAMIC THRUST BEARINGS ON ROTORDYNAMICS The 12th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery Honolulu, Hawaii, February 17-22, 2008 ISROMAC12-2008-20076 EFFECT OF HYDRODYNAMIC THRUST BEARINGS ON ROTORDYNAMICS

More information

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS

SPRING 2006 PRELIMINARY EXAMINATION SOLUTIONS SPRING 006 PRELIMINARY EXAMINATION SOLUTIONS 1A. Let G be the subgroup of the free abelian group Z 4 consisting of all integer vectors (x, y, z, w) such that x + 3y + 5z + 7w = 0. (a) Determine a linearly

More information

. For each initial condition y(0) = y 0, there exists a. unique solution. In fact, given any point (x, y), there is a unique curve through this point,

. For each initial condition y(0) = y 0, there exists a. unique solution. In fact, given any point (x, y), there is a unique curve through this point, 1.2. Direction Fields: Graphical Representation of the ODE and its Solution Section Objective(s): Constructing Direction Fields. Interpreting Direction Fields. Definition 1.2.1. A first order ODE of the

More information

154 Chapter 9 Hints, Answers, and Solutions The particular trajectories are highlighted in the phase portraits below.

154 Chapter 9 Hints, Answers, and Solutions The particular trajectories are highlighted in the phase portraits below. 54 Chapter 9 Hints, Answers, and Solutions 9. The Phase Plane 9.. 4. The particular trajectories are highlighted in the phase portraits below... 3. 4. 9..5. Shown below is one possibility with x(t) and

More information

ENERGY TRANSFER BETWEEN FLUID AND ROTOR. Dr. Ir. Harinaldi, M.Eng Mechanical Engineering Department Faculty of Engineering University of Indonesia

ENERGY TRANSFER BETWEEN FLUID AND ROTOR. Dr. Ir. Harinaldi, M.Eng Mechanical Engineering Department Faculty of Engineering University of Indonesia ENERGY TRANSFER BETWEEN FLUID AND ROTOR Dr. Ir. Harinaldi, M.Eng Mechanical Engineering Department Faculty of Engineering University of Indonesia Basic Laws and Equations Continuity Equation m m ρ mass

More information

Passivity-based Stabilization of Non-Compact Sets

Passivity-based Stabilization of Non-Compact Sets Passivity-based Stabilization of Non-Compact Sets Mohamed I. El-Hawwary and Manfredi Maggiore Abstract We investigate the stabilization of closed sets for passive nonlinear systems which are contained

More information

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4)

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4) Phase Transitions A homogeneous equilibrium state of matter is the most natural one, given the fact that the interparticle interactions are translationally invariant. Nevertheless there is no contradiction

More information