Total energy in volume

Similar documents
Consider a volume Ω enclosing a mass M and bounded by a surface δω. d dt. q n ds. The Work done by the body on the surroundings is.

Getting started: CFD notation

Consider a volume Ω enclosing a mass M and bounded by a surface δω. d dt. q n ds. The Work done by the body on the surroundings is

Conservation of Mass. Computational Fluid Dynamics. The Equations Governing Fluid Motion

Numerical Heat and Mass Transfer

CHAPTER 4 BOUNDARY LAYER FLOW APPLICATION TO EXTERNAL FLOW

From the last time, we ended with an expression for the energy equation. u = ρg u + (τ u) q (9.1)

AE/ME 339. K. M. Isaac. 9/22/2005 Topic 6 FluidFlowEquations_Introduction. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.

Chapter 2: Basic Governing Equations

P = ρ{ g a } + µ 2 V II. FLUID STATICS

6.2 Governing Equations for Natural Convection

From Navier-Stokes to Saint-Venant

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

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


MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

Chapter 2. General concepts. 2.1 The Navier-Stokes equations

Numerical Heat and Mass Transfer

Module 2: Governing Equations and Hypersonic Relations

Fundamental Concepts of Convection : Flow and Thermal Considerations. Chapter Six and Appendix D Sections 6.1 through 6.8 and D.1 through D.

4. Analysis of heat conduction

Candidates must show on each answer book the type of calculator used. Log Tables, Statistical Tables and Graph Paper are available on request.

2.20 Fall 2018 Math Review

BSL Transport Phenomena 2e Revised: Chapter 2 - Problem 2B.11 Page 1 of 5

Chapter 2: Heat Conduction Equation

Where does Bernoulli's Equation come from?

CHAPTER 8 ENTROPY GENERATION AND TRANSPORT

Chapter 1. Governing Equations of GFD. 1.1 Mass continuity

Continuum Mechanics Fundamentals

ENGR Heat Transfer II

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 5

2 Law of conservation of energy

Soft Bodies. Good approximation for hard ones. approximation breaks when objects break, or deform. Generalization: soft (deformable) bodies

Rational derivation of the Boussinesq approximation

MECH 5810 Module 3: Conservation of Linear Momentum

Quick Recapitulation of Fluid Mechanics

Exercise 5: Exact Solutions to the Navier-Stokes Equations I

Introduction to Fluid Mechanics

Chapter 7: Natural Convection

Fundamentals of Transport Processes Prof. Kumaran Indian Institute of Science, Bangalore Chemical Engineering

Mathematical Notation Math Calculus & Analytic Geometry III

q x = k T 1 T 2 Q = k T 1 T / 12

1. FUNDAMENTAL CONCEPTS AND MATH REVIEW

Exercise: concepts from chapter 10

Review of fluid dynamics

Astrophysical Fluid Dynamics (2)

Laminar Flow. Chapter ZERO PRESSURE GRADIENT

UNIVERSITY OF EAST ANGLIA

FLUID MECHANICS. Based on CHEM_ENG 421 at Northwestern University

Parallel Plate Heat Exchanger

CONSERVATION OF ENERGY FOR ACONTINUUM

0.2. CONSERVATION LAW FOR FLUID 9

n v molecules will pass per unit time through the area from left to

Euler equation and Navier-Stokes equation

Thermodynamics ENGR360-MEP112 LECTURE 7

Summary of the Equations of Fluid Dynamics

AA210A Fundamentals of Compressible Flow. Chapter 1 - Introduction to fluid flow

4 Introduction to First-Order Partial Differential

EELE 3331 Electromagnetic I Chapter 3. Vector Calculus. Islamic University of Gaza Electrical Engineering Department Dr.

Chapter 9: Differential Analysis

Peter Hertel. University of Osnabrück, Germany. Lecture presented at APS, Nankai University, China.

Lecture 4. Differential Analysis of Fluid Flow Navier-Stockes equation

Disclaimer: This Final Exam Study Guide is meant to help you start studying. It is not necessarily a complete list of everything you need to know.

OE4625 Dredge Pumps and Slurry Transport. Vaclav Matousek October 13, 2004

Interpreting Differential Equations of Transport Phenomena

Chapter 9: Differential Analysis of Fluid Flow

BAE 820 Physical Principles of Environmental Systems

Solutions to the Calculus and Linear Algebra problems on the Comprehensive Examination of January 28, 2011

FORMULA SHEET. General formulas:

UNIT 5 QUADRATIC FUNCTIONS Lesson 2: Creating and Solving Quadratic Equations in One Variable Instruction

Mathematical Theory of Non-Newtonian Fluid


Game Physics. Game and Media Technology Master Program - Utrecht University. Dr. Nicolas Pronost

Mechanical Engineering. Postal Correspondence Course HEAT TRANSFER. GATE, IES & PSUs

(You may need to make a sin / cos-type trigonometric substitution.) Solution.

CHAPTER 4 ANALYTICAL SOLUTIONS OF COUPLE STRESS FLUID FLOWS THROUGH POROUS MEDIUM BETWEEN PARALLEL PLATES WITH SLIP BOUNDARY CONDITIONS

Heat and Mass Transfer Prof. S.P. Sukhatme Department of Mechanical Engineering Indian Institute of Technology, Bombay

UNIVERSITY of LIMERICK

1 Introduction to Governing Equations 2 1a Methodology... 2

Notes 19 Gradient and Laplacian

6. Laminar and turbulent boundary layers

Convective Mass Transfer

MODULE CODE: ENGG08021 INTRODUCTION TO THERMOFLUIDS. Date: 15 January 2016 Time: 10:00 12:00

Computer Fluid Dynamics E181107

Fluid Dynamics and Balance Equations for Reacting Flows

Effect of Uniform Horizontal Magnetic Field on Thermal Instability in A Rotating Micropolar Fluid Saturating A Porous Medium

Computational Fluid Dynamics 2

Fluid mechanics and living organisms

Convection Heat Transfer

One side of each sheet is blank and may be used as scratch paper.

Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer

MODELING AND SIMULATION OF FREE FLUID OVER A POROUS MEDIUM BY MESHLESS METHOD

Math 23b Practice Final Summer 2011

Lecture II: Vector and Multivariate Calculus

CONVECTIVE HEAT TRANSFER

Chapter 7. Kinematics. 7.1 Tensor fields

Finite volume method for CFD

Lecture 8: Tissue Mechanics

Modeling of Water Flows around a Circular Cylinder with the SPH Method

Chapter 6: Momentum Analysis

Transcription:

General Heat Transfer Equations (Set #3) ChE 1B Fundamental Energy Postulate time rate of change of internal +kinetic energy = rate of heat transfer + surface work transfer (viscous & other deformations) + work done y ody shaft work + Electromagnetic energy or other sources if we take an aritrary volume of material let U internal energy per unit mass 1 ρv kinetic energy per unit volume internal + kinetic 1 V t U v dv = m () ρ + ρ Total energy in volume 3-1

ChE 1B Then the time rate of change of this quantity is: D Vm () t ρ 1 + ρ U v dv for an oserver moving with the volume element. Hence, it is called a material or total derivative qn heat transfer rate = m () A t da This is no more than a definition of q. From fluid mechanics, the force df acting on the surface is df =t n da t n is the stress vector. Imagine the area moving in a direction λ y an amount Δ in time Δt. The work done on this surface is just the force times the distance: t n da λδ and the rate of work is just t da λ n Δ Δt 3 -

ChE 1B In the limit as λ Δ Δ t, Δt The velocity vector and then λ Δ = v, Δt surface work on element da = t n v and the total work done on volume is Am () t tn vda similarly, work = ρ dv V m () q v t g is for gravity ody force et Φ = energy source/unit volume, and comining D 1 ρu + ρv dv = A () () n () ρ m t qn da + Am t t vda + Vm t gv dv + Vm() t Φ dv We can re-write the gravity term as D ρg v dv = ρφ dv Vm( t) Vm( t) in which φ is the potential energy/mass and D ρe+ 1 ρv +ρφ dv = qn da + t v da + ΦdV V ( t) A () () n () m m t Am t Vm t or ( n ) T v da T is the stress tensor T=ρ I +τ U + KE + PE = Q + W which is just our old way of writing the conservation of energy. imiting Cases Steady-state, v =, = qn da + ΦdV Am Vm Now A m, V m are fixed in space 3-3

ChE 1B Rememer the divergence theorem from calculus (or physics)? qn da = q dv so A V [An aside: v= ( v) = ( ) Φ dv nt T ] A V dv v q - For this to e true over an aritrary volume, the integrand must e identically ( q ) Φ= or in various forms q q x y qz Rectangular: = + + Φ y z Cylindrical: 1 1 qθ qz = ( rqr r ) + + Φ r r θ z 1 1 1 qθ = r + θ + Φ r r rsinθ θ rsinθ θ Spherical: ( rq) ( sinθ q) In the general case, we have D 1 V ρ U+ v + φ dv ( ( T v) ) V q = Φ dv Reynold's transport theorem states D 1 D 1 V ρ U+ v + φ dv V ρ U+ v + φ dv = D 1 V ρ U+ v + φ + ( q) ( T v) Φ dv = hence inside the integral is also zero to account for aritrary volumes. D 1 ρ U+ v + φ = ( q) + ( v) +Φ T Or D 1 ρ U+ v = ( q) + ( v) + ( ρ v) +Φ T g We can expand the sustantial derivative 1 1 D 1 ρ U+ v U+ v ρ U+ v t + = v for v = we get U ρ This is the transient energy alance in the = q+ Φ t asence of convection. 3-4

ChE 1B Rememer ˆ i ˆ = + j+ kˆ y z Reorganizing using T = pi + τ DU ρ ( ) τ : v = q p v + These equations can e further simplified if we use the equations of motion: Dv ρ = ρg + T If we take the dot product with v, we get the mechanical energy equation: Dv ρv = ρ g v+ v T ( ) We can recognize the first term as: Dv D 1 D 1 ρ v = ρ = ρ v v v and rewrite the last term as: ( v T) v:t= v ( T ) If we sustitute these results into the mechanical energy equation Dv 1 v ρ = ρg v + ( v T) v:t If this is sutracted-from the total energy equation; we get the thermal energy equation: DU ρ = + q v:t and T = pi + τ and 3-5

ChE 1B DU ρ = q p v + v : τ To convert this equation into something useful we need a more readily accessile quantity than U, hopefully T To get there, rememer H=U+PV U=H PV=H P/ρ so ρ DH D ( P / ) p ρ ρ = q v+ v: τ DH 1 Dp p Dρ p ρ = q+ ρ ( ρ ) v + τ ρ ρ ρ v: Dp p Dρ = q+ ρ ( ) + τ ρ v v: y continuity ρ DH Dp = q + + v: τ and DH H DT H Dp = + T p P T DH 1 = 1 Dp ρ T ( T β ) 1 ρ H β = = C p ρ T p T p and q = k T leads to: DT Dp ρ Cp = ( k T) + Tβ + v: τ For the general thermal energy equation. 3-6

A second general conversion to T goes through constant V and T processes: Recall from Thermodynamics: U U du = dv + dt V V T p = p + T dv + CvdT T v V is the specific volume v ChE 1B Rememer, also the continuity equation DV D 1 1 Dρ ρ = ρ = = ( v) ρ ρ Dρ continuity equation says = ρ ( v) A few manipulations gives DT p ρ Cv = q T v τ:v T ( ) ( ) ( ) call μ Φ (usually omitted in practical cases) ook at different cases p P 1. Ideal gas = T v T DT ρ Cv = ( q) p( v ) (neglect μφ ) v For incompressile fluids and solids du = CvdT CpdT and T ρ C p = q +Φ t Assuming Fourier's aw (q = k T, constant k) T k = T +Φ t ρ Cp k α thermal diffusivity ρ C p For solids, with no Φ T T T T ρ Cp = k + + t y z k length α thermal diffusivity units ρ C time p and T = α T t 3-7

ChE 1B α is analogous to kinematic viscosity v ρ unit same mass diffusivity D unit same for solids v = usually and T ρ Cp = k T t The groupings all refer to a diffusion-type constant: k α is analogous to D and to ρ C Thermal Diffusivity p Mass Diffusivity Momentum Diffusivity v ρ In general, T = D T t is known as the diffusion equation. 3-8

Examples of general alances Uniform heat generation in sla dt Φ + = for k constant, dx k Solution to this is: d dt Φ = dx dx k dt Φ d = dx dx k dt Φ = B x dx k Φ T = A+ Bx x k If T = T @ x=, T = T1 @ x= we get x Φ T = T ( T T1 ) + ( x) x a quadratic profile. k ChE 1B We know if there is no source term, we should get ack a linear profile. Check if Φ, we get ack linear profile!!!! Maximum temperature now where will the temperature e greatest? dt T T Φ = = + dx k ( x) 1 ( T ) k T 1 x max = Φ k( T T1) We can say for this to work (otherwise x = ) Φ Φ k( T ) T1 Tmax = T + k Φ Assume copper plate (k = Btu/hr ft F) 1 inch thick 6 3 Φ= 4 x 1 Btu/hr ft T = 1 F T1 = 7 F = 49.6 F Tmax 3-9

ChE 1B Order of Magnitude Analysis Depending on the detail necessary for an engineering answer to a complex prolem, we might want to determine how hard we want to work on that prolem. This involves 1) First estimating average values of quantities ) Comparing magnitudes of these quantities. 1 Define ( f ( x )), order of magnitude of f ( x) f dx This is just the average of the asolute value of that function over 1 ( g ( x, y) ) g( x, y) dx dy Of course, to do this efore knowing g relies on a proper physical intuition How aout derivatives? f 1 df dx dx Assume that f ( x ) is monotonic, then this result is pretty simple f 1 df 1 dx = f f dx If we have a reasonale f ( x ), then ( ( ) ( )) 1 ( f ( x) ) = f ( x) dx= F( ξ) ξ which is just the mean value theorem and ( ) = ( ( ξ )) = ( ) ( ) = ( ( ξ )) = ( ) f f f f f f and 3-1

ChE 1B ( ) ( ) ( ) f = f = f, hence f ( f )/ in a similar fashion, f ( f )/ let s get more concrete T T1 we assumed earlier that if >>, then qy = k Can we justify this quantitatively? T T Start with + = y T T @ y = 1 T = T @ y = 1 ( ) T = T T T sin 3 π / @ x= 1 ( )( ) T = T + T T y/ @ x= 1 Order of magnitude stuff is always easier with dimensionless equations: θ ( T T ) = X = / T T 1 x Y = y/ β = / 3-11

θ θ * + = X Y θ = @ Y = θ = 1 @ Y = 1 θ = sin 3 π Y / x= θ = Y x= β ChE 1B and ( ) 1 θ θ = = β β ( θ ) θ 1 = = = y 1 ( θ ) ( ) and for the case β 1 we might say θ θ, y ut we also know that θ θ from y * A etter way is as follows: η = Y θ θ = dη C + y η = 1 τ = Y η = Y θ θ = dη dτ C Y C + + τ= η= 1 We can now apply the B.C. s to get 3-1

when Y =, θ = C = Y = 1, θ = 1 ChE 1B τ = 1 η= τ θ C = 1+ d η d τ and 1 τ= η= τ= 1 η= τ τ= Y η= T θ θ θ = Y 1+ dη dτ dη dτ x τ= η= τ= η= 1 1 θ = Y + Y + β β and whenever β 1 this simplifies to θ = Y or in terms of parameters ( )( ) T = T + T T y 1 / And rememer: ( AB) = ( A) ( B) ( A+ B) ( A) + ( B) 3-13

ChE 1B Fins Revisited We can start with the general alance at steady state T T T + + = y z If the fin is very long in y direction ( ) then T T z + = and our primary ojective is to determine the heat flux from the wall due to the fin. Assume top and ottom of fin are identical, then T = @ z = z and h,k independent of position so that T k = h( T Ta ) for top, ottom and @ z = ± z T k = hend T T z ( ) a @ x and for the end of fin and that wall is of constant temperature T @ x = We now have a messy P.D.E. in x,z. et s make the further assumption that and that most of the variation in T is along x direction so let's average temperature over z, and determine the variation in x 3-14

T T dz + dz = z T T Tdz z z= z z= + = T T = ; = and z z= z z= Applying oundary conditions k h( T Ta ) ChE 1B 1 Define d h dx k = Tdz= T. Then T + T T z = ( a ) Now we simply need to guess what T is? z= From our analysis of the Biot numer, h k If k is ig and h is small T T, or the fin is uniform in z= temperature, Bi << 1. k is small and h is large T = Ta z= or the fin surface is the same temperature as surroundings Bi >> 1. 3-15

ChE 1B et s look at a case in which T = T as second case leads to no heat flux z= d T h + ( T Ta ) = dx k and we can non-dimensionalize temperature as T Ta = θ and we know intuitively T Ta <θ < 1 in the fin and d θ h θ = dx k T k = hend ( T Ta ) @ x= T T @ x= in terms of θ θ k = hend θ @ x= θ = 1@ x = We can also non-dimensionalize distance η = x/ η = x η 1 and d θ ( η ) d h = a k θ d θ h θ dη k = h = γ and k d θ γθ= d ( η ) and the oundary conditions are θ h = θ @ η = 1 η k θ = 1 @ η = 1 3-16

ChE 1B Often, y making our equations dimensionless, we can isolate important parameters, and estimate what is dominant. Mathematically, we can ound a variale and the formalities are nicer. Solutions are also not too tough θ = C sinh mη+ C cosh mη 1 @ η = θ = 1 C = 1 @ η = 1 θ = h θ, h = m η k k θ nc mη + C mη = = Cm mη+ m mη [ 1sinh cosh ] cosh sinh η ( msinh mη+ n cosh mη) = C [ m cosh m+ nsinh m] msinh m+ n cosh m C1 = m cosh m+ nsinh m msinh m+ n cosh m θ = sinh mη+ cosh mη m cosh m+ nsinh m which can e manipulated into cosh m( 1 η ) + n sinh m( 1 η m ) θ = cosh m+ n sinh m m When is this solution valid we said for small h/large k Can we e more specific? maximum is T ΔT = Δ T = ( T Ta ) z Δ T = T T T k = h T T ( a ) z z= T T = ( z= a) z= z= k h T T ΔT k = h T T ΔT h T T k z = a z = a 1 z = z = and we want this to e small so ΔT h or k 3-17

ChE 1B This grouping is commonly known as the Biot numer and is the ratio of convective/conductive heat transfer. For Bi 1, conduction is fast and temperature on fin are near uniform for Bi 1, the oject takes on the amient temperature. If n = = and m cosh m( 1 η ) θ cosh m 1/ 1/ Biend Bi. then Bi, Bi 1 and the rate of heat flow through the fin is d T qx x= = k dx k = ( T T ) d d θ η a η = ( Bi ) ( a ) 1/ 1/ = N tanh N / k T T 3-18