10.3 Multimode Heat Transfer with Radiation

Size: px
Start display at page:

Download "10.3 Multimode Heat Transfer with Radiation"

Transcription

1 0.3 Multimode Heat Transfer with Radiation When radiation is combined with conduction and/or convection, the problems are called conjugate or multimode heat transfer. As an example of a combined-mode radiationconduction problem, consider the geometry and conditions shown in Fig Because the plates are not isothermal, conduction occurs within the plates, and will modify the temperature distributions, which are the unknowns in the problem. Chapter 0: Heat Transfer by Radiation

2 W δ x Surface, k, ε, q (x ) = 0 H T e = 0 K x Surface, k, ε q e (x ) = 00 W/m Figure 0.9 Infinitely long parallel conducting plates with thickness δ and thermal conductivity k. Chapter 0: Heat Transfer by Radiation

3 For this case, the usual net radiation equations are as derived in Example 0.0: q ( x ) ε = σ T σ T F + q x df x x ( ) (, ), rad d, rad A d d ε ε ( x ) q ε = σ T ( x ) σ T ( x ) F + q x df x, x ( ) ( ), rad d, rad A d d ε ε (0.70) (0.7) If conduction is assumed to occur only in the x-direction in the thin plates, then two additional energy equations are written for the conducting plates q = q + kδ,rad q =,rad e kδ d T dx d T dx (0.7) (0.73) Chapter 0: Heat Transfer by Radiation

4 Equations (0.7) and (0.73) contain second-order derivatives, so two boundary conditions are required for each. The appropriate ones are dt dt = = 0 at x, x = W / dx dx dt dt k = ε σ T ( x = 0); k = ε σ T ( x = 0) dx dx The resulting Equations (0.76) are highly nonlinear, involving temperatures to the fourth power as well as second derivatives in temperature. d T W ε d T q + kδ σ T ( x ) σ T ( x ) kδ df e ε = dx 0 ε dx d d d T W ε d T kδ σ T ( x ) σ T ( x ) q + kδ df e ε dx = 0 ε dx d d (0.7) (0.75) (0.76) Chapter 0: Heat Transfer by Radiation

5 To simplify Eqs. (0.76), define kδ T q / ;, T / T ; X x / W ; X x / W ( ) / ref = e σ = θ = 3 ref = = σ Tref W and Eqs. (0.76) become d θ + ( X ) ( X ) ( ) = ε θ ε θ ε dx 0 dx d θ d d d θ ε θ ( X ) ε θ ( X ) ( ε ) + dx = 0 dx d d d θ df df (0.77) (0.78) with boundary conditions [from Eqs. (0.7) and (0.75)] dθ dx X = / X = / dθ dx dθ dx X = 0 dθ = = dx X = 0 ( X 0 ) = ε θ = ( X 0) = ε θ = 0 δ W δ W (0.79) Chapter 0: Heat Transfer by Radiation

6 In terms of the nondimensional variables, the required configuration factor is (using h = H/W), df dx = dx ( ) (0.80) The or modifications of it often appear in radiationconduction problems. Its meaning can be appreciated by multiplying the numerator and denominator by T ref to give kδ T kδ ( Tref / W ref ) h = = σ T W dx X X + h ref ref σ T W 3/ (0.8) Chapter 0: Heat Transfer by Radiation

7 0.3. umerical Methods To solve the radiation-conduction problem of Eqs. (0.78)-(0.80), the integrals in the equations are replaced by summations over elements of width Δx, i.e., x 0 n (, ), f x x dx f x m n n m n n n= Substituting into Eq. (0.78) and using the finite difference form for the second derivatives results in θ, m θ, m + θ, m+ + = ε θ, m Φ X ( X ) n=, m, n θ, M n θ, n + θ, n+ = ε θ, n Φ X ( X ) m=, m, n (0.8) (0.83) Chapter 0: Heat Transfer by Radiation

8 Including the configuration factor relations, the Φs are Φ = Φ ( ε ), n, n, n +, m, n, n ( ) ( ) The boundary conditions become = ε θ ( ε ) +, m, m, m +, m, n, m ε θ h n X m X + h h θ θ + θ m X n X + h M M,( ),( + ),( ),( + ) 3 / 3/ θ θ + θ θ = θ ; θ = θ ; M and even θ θ δ / W,, = ε θ, + Φ X,, n X n = θ θ δ / W (0.8) (0.85) M,, = ε θ, + Φ X, m, X m = Chapter 0: Heat Transfer by Radiation

9 Let ΔX = ΔX (equal sized increments on each plate, so that Eqs. (0.83) - (0.85) become θ θ + θ, m, m, m + + = ε θ, m Φ, m, n n = θ θ + θ Φ = Φ, n, n, n + ( ) ( ) ( ε ) = ε θ, n M m = Φ, m, n, n, n, n +, m, n, n = ε θ ( ε ) + 3/ X, m, m, m +, m, n, m ε θ h n m X + h h m n X + h θ θ + θ 3/ θ θ + θ X (0.86) (0.87) Chapter 0: Heat Transfer by Radiation

10 θ = θ ; θ = θ ; M and even M M,( ),( + ),( ),( + ) θ θ,, δ / W = ε θ X, + Φ,, n X n = M θ θ,, δ / W = ε θ X, + Φ, m, X m = (0.88) The parameter /(ΔX) now appears in Eqs. (0.86) - (0.88), and is a guideline for how to approach a numerical solution. Chapter 0: Heat Transfer by Radiation

11 0.3. Conduction Dominated Problems If conduction dominates (i.e., /(ΔX) >> ), then eq. (0.86) can be rearranged to reflect a conduction problem that is perturbed by the presence of radiation: ( X ) θ θ + θ = ε θ, m Φ X, m, m, m +, m, n n = ( X ) M, n, n +, n + = ε θ, n, m, n X Φ m = θ θ θ (0.89) Chapter 0: Heat Transfer by Radiation

12 Equation (0.89) (including the insertion of the boundary conditions) is a set of equations of the matrix form Aθ(x) = C(x) (0.90) where A is a tridiagonal matrix of coefficients that need only be inverted once. The solution is then - θ(x) = A C(x) (0.9) Equation (0.9) is solved by assuming the distributions of θ,n and θ,m, using these to evaluate Φ,m,n and Φ,m,n, which in turn are used to evaluate C(x). The matrix multiplication indicated in eq. (0.9) gives a new set of θ values; the process is repeated until convergence. Chapter 0: Heat Transfer by Radiation

13 0.3.3 Radiation Dominated Problems If radiation dominates so that /(ΔX) <<, then Eq. (0.86) can be rearranged to θ θ, m, n = = ε ε n= Φ X + (0.9) Again, the set of equations can be arranged as a matrix equation of the form Aθ = C (θ) (0.93) Matrix inversion of A gives θ = A θ θ + θ, m, m, m+, m, n θ θ + θ M, n, n, n+ Φ, m, n X m= ( ) - C (θ) (0.9) Chapter 0: Heat Transfer by Radiation

14 0.3. Problems with Both Modes Significant When is not near either the large or small limit, then the problem is truly nonlinear, and the solution methods described for small or large /(ΔX) values often fail. In that case, Eq. (0.86) can be arranged as ε θ ε θ, m, n θ, m θ, m + θ, m + = + Φ, m, n X ( X ) n = θ, M n θ, n + θ, n+ = Φ, m, n X ( X ) m = (0.95) This equation in matrix form becomes Aθ + Bθ = C θ ( ) We could define so that Eq. (0.96) becomes A (θ) θ = C (θ) 3 (0.96) (0.97) Chapter 0: Heat Transfer by Radiation

15 To avoid this, a modified ewton-raphson iteration method can be used. In this case, Eq. (0.96) is rewritten as M + ( 0 ) (0) j = [ jkθ k + jkθ k ] j residual k = g A B C The residual is a measure of convergence of the solution, and will approach g j = 0 when solution is complete. ext, the function g jk is found (0) 3 ( LHS of Eq.(0.96) jk = jk θ k + jk θ k g A B (0.98) (0.99) and g jk is seen to be the gradient in the residual. ow solve the auxiliary equation g jk [ λ k ] + g j = 0; [ λ k ] = g jk g j (0.00) Chapter 0: Heat Transfer by Radiation

16 The next iterative value for θ k is found from ( p ) ( p ) θ = θ + λ k k k (0.0) Chapter 0: Heat Transfer by Radiation

PROBLEM 3.10 KNOWN: Dimensions and surface conditions of a plate thermally joined at its ends to heat sinks at different temperatures. FIND: (a) Differential equation which determines temperature distribution

More information

CHAPTER 4 BOUNDARY LAYER FLOW APPLICATION TO EXTERNAL FLOW

CHAPTER 4 BOUNDARY LAYER FLOW APPLICATION TO EXTERNAL FLOW CHAPTER 4 BOUNDARY LAYER FLOW APPLICATION TO EXTERNAL FLOW 4.1 Introduction Boundary layer concept (Prandtl 1904): Eliminate selected terms in the governing equations Two key questions (1) What are the

More information

The Sommerfeld Polynomial Method: Harmonic Oscillator Example

The Sommerfeld Polynomial Method: Harmonic Oscillator Example Chemistry 460 Fall 2017 Dr. Jean M. Standard October 2, 2017 The Sommerfeld Polynomial Method: Harmonic Oscillator Example Scaling the Harmonic Oscillator Equation Recall the basic definitions of the harmonic

More information

Chapter 3: Steady Heat Conduction. Dr Ali Jawarneh Department of Mechanical Engineering Hashemite University

Chapter 3: Steady Heat Conduction. Dr Ali Jawarneh Department of Mechanical Engineering Hashemite University Chapter 3: Steady Heat Conduction Dr Ali Jawarneh Department of Mechanical Engineering Hashemite University Objectives When you finish studying this chapter, you should be able to: Understand the concept

More information

Chapter 3 Steady-State, ne- mens onal C on uction

Chapter 3 Steady-State, ne- mens onal C on uction Chapter 3 Steady-State, One-Dimensional i Conduction 3.1 The Plane Wall 3.1.1 Temperature Distribution For one-dimensional, steady-state conduction in a plane wall with no heat generation, the differential

More information

(A) Opening Problem Newton s Law of Cooling

(A) Opening Problem Newton s Law of Cooling Lesson 55 Numerical Solutions to Differential Equations Euler's Method IBHL - 1 (A) Opening Problem Newton s Law of Cooling! Newton s Law of Cooling states that the temperature of a body changes at a rate

More information

Time-Dependent Conduction :

Time-Dependent Conduction : Time-Dependent Conduction : The Lumped Capacitance Method Chapter Five Sections 5.1 thru 5.3 Transient Conduction A heat transfer process for which the temperature varies with time, as well as location

More information

Introduction to Heat and Mass Transfer. Week 14

Introduction to Heat and Mass Transfer. Week 14 Introduction to Heat and Mass Transfer Week 14 HW # 7 prob. 2 Hot water at 50C flows through a steel pipe (thermal conductivity 14 W/m-K) of 100 mm outside diameter and 8 mm wall thickness. During winter,

More information

Department of Architecture & Civil Engineering ( ) 2 2a. L = 65 2 ρπa4 L. + asinα = 3aθ 2. ( ) = a 1 cos( θ ρπa4 L.

Department of Architecture & Civil Engineering ( ) 2 2a. L = 65 2 ρπa4 L. + asinα = 3aθ 2. ( ) = a 1 cos( θ ρπa4 L. MODE ANSWER age: 1 QUESTION Mass of tube = ρπ 3a ( ) ( a) Moment of inertia of tube = ρπ 3 Mass of bar = ρπa Moment of inertia of bar = = 5ρπa ( 3a) 4 a ( ) 4 ρπ ( a )4 = 1 3 ρπa4 Horizontal displacement

More information

Sets. 1.2 Find the set of all x R satisfying > = > = > = - > 0 = [x- 3 (x -2)] > 0. = - (x 1) (x 2) (x 3) > 0. Test x = 0, 5

Sets. 1.2 Find the set of all x R satisfying > = > = > = - > 0 = [x- 3 (x -2)] > 0. = - (x 1) (x 2) (x 3) > 0. Test x = 0, 5 Sets 1.2 Find the set of all x R satisfying > > Test x 0, 5 > - > 0 [x- 3 (x -2)] > 0 - (x 1) (x 2) (x 3) > 0 At x0: y - (-1)(-2)(-3) 6 > 0 x < 1 At x5: y - (4)(3)(2) -24 < 0 2 < x < 3 Hence, {x R: x

More information

Chapter 2: Steady Heat Conduction

Chapter 2: Steady Heat Conduction 2-1 General Relation for Fourier s Law of Heat Conduction 2-2 Heat Conduction Equation 2-3 Boundary Conditions and Initial Conditions 2-4 Variable Thermal Conductivity 2-5 Steady Heat Conduction in Plane

More information

b( ) ) ( ) PROBLEM = W / m = 1991 W / m. = W / m 4 m = 3164 W.

b( ) ) ( ) PROBLEM = W / m = 1991 W / m. = W / m 4 m = 3164 W. PROBLEM.6 KNOWN: rea, temperature, irradiation and spectral absorptivity of a surface. FIND: bsorbed irradiation, emissive power, radiosity and net radiation transfer from the surface. SCHEMTIC: SSUMPTIONS:

More information

Exam in TMA4180 Optimization Theory

Exam in TMA4180 Optimization Theory Norwegian University of Science and Technology Department of Mathematical Sciences Page 1 of 11 Contact during exam: Anne Kværnø: 966384 Exam in TMA418 Optimization Theory Wednesday May 9, 13 Tid: 9. 13.

More information

Start with the transfer function for a second-order high-pass. s 2. ω o. Q P s + ω2 o. = G o V i

Start with the transfer function for a second-order high-pass. s 2. ω o. Q P s + ω2 o. = G o V i aaac3xicbzfna9taeizxatkk7kec9tilqck4jbg5fjpca4ew0kmpdsrxwhlvxokl7titrirg69lr67s/robll64wmkna5jenndmvjstzyib9pfjntva/vzu6dzsnhj5/sdfefxhmvawzjpotsxeiliemxiucjpogkkybit3x5atow5w8xfugs5qmksecubqo7krlsfhkzsagxr4jne8wehaaxjqy4qq2svvl5el5qai2v9hy5tnxwb0om8igbiqfhhqhkoulcfs2zczhp26lwm7ph/hehffsbu90syo3hcmwvyxpawjtfbjpkm/wlbnximooweuygmsivnygqlpcmywvfppvrewjl3yqxti9gr6e2kgqbgrnlizqyuf2btqd/vgmo8cms4dllesrrdopz4ahyqjf7c66bovhzqznm9l89tqb2smixsxzk3tsdtnat4iaxnkk5bfcbn6iphqywpvxwtypgvnhtsvux234v77/ncudz9leyj84wplgvm7hrmk4ofi7ynw8edpwl7zt62o9klz8kl0idd8pqckq9krmaekz/kt7plbluf3a/un/d7ko6bc0zshbujz6huqq

More information

Lecture 6 - Introduction to Electricity

Lecture 6 - Introduction to Electricity Lecture 6 - Introduction to Electricity A Puzzle... We are all familiar with visualizing an integral as the area under a curve. For example, a b f[x] dx equals the sum of the areas of the rectangles of

More information

To remain at 0 K heat absorbed by the medium must be removed in the amount of. dq dx = q(l) q(0) dx. Q = [1 2E 3 (τ L )] σ(t T 4 2 ).

To remain at 0 K heat absorbed by the medium must be removed in the amount of. dq dx = q(l) q(0) dx. Q = [1 2E 3 (τ L )] σ(t T 4 2 ). 294 RADIATIVE HEAT TRANSFER 13.7 Two infinite, isothermal plates at temperatures T 1 and T 2 are separated by a cold, gray medium of optical thickness τ L = L (no scattering). (a) Calculate the radiative

More information

Study of Temperature Distribution Along the Fin Length

Study of Temperature Distribution Along the Fin Length Heat Transfer Experiment No. 2 Study of Temperature Distribution Along the Fin Length Name of the Student: Roll No: Department of Mechanical Engineering for Women, Pune. Aim: ˆ Measuring the temperature

More information

HEAT TRANSFER AND TEMPERATURE DISTRIBUTION OF DIFFERENT FIN GEOMETRY USING NUMERICAL METHOD

HEAT TRANSFER AND TEMPERATURE DISTRIBUTION OF DIFFERENT FIN GEOMETRY USING NUMERICAL METHOD JP Journal of Heat and Mass Transfer Volume 6, Number 3, 01, Pages 3-34 Available online at http://pphmj.com/journals/jphmt.htm Published by Pushpa Publishing House, Allahabad, INDIA HEAT TRANSFER AND

More information

Pin Fin Lab Report Example. Names. ME331 Lab

Pin Fin Lab Report Example. Names. ME331 Lab Pin Fin Lab Report Example Names ME331 Lab 04/12/2017 1. Abstract The purposes of this experiment are to determine pin fin effectiveness and convective heat transfer coefficients for free and forced convection

More information

( ) = 9φ 1, ( ) = 4φ 2.

( ) = 9φ 1, ( ) = 4φ 2. Chemistry 46 Dr Jean M Standard Homework Problem Set 6 Solutions The Hermitian operator A ˆ is associated with the physical observable A Two of the eigenfunctions of A ˆ are and These eigenfunctions are

More information

Corrections and Minor Revisions of Mathematical Methods in the Physical Sciences, third edition, by Mary L. Boas (deceased)

Corrections and Minor Revisions of Mathematical Methods in the Physical Sciences, third edition, by Mary L. Boas (deceased) Corrections and Minor Revisions of Mathematical Methods in the Physical Sciences, third edition, by Mary L. Boas (deceased) Updated December 6, 2017 by Harold P. Boas This list includes all errors known

More information

Application of He s homotopy perturbation method to boundary layer flow and convection heat transfer over a flat plate

Application of He s homotopy perturbation method to boundary layer flow and convection heat transfer over a flat plate Physics Letters A 37 007) 33 38 www.elsevier.com/locate/pla Application of He s homotopy perturbation method to boundary layer flow and convection heat transfer over a flat plate M. Esmaeilpour, D.D. Ganji

More information

The Efficiency of Convective-radiative Fin with Temperature-dependent Thermal Conductivity by the Differential Transformation Method

The Efficiency of Convective-radiative Fin with Temperature-dependent Thermal Conductivity by the Differential Transformation Method Research Journal of Applied Sciences, Engineering and Technology 6(8): 1354-1359, 213 ISSN: 24-7459; e-issn: 24-7467 Maxwell Scientific Organization, 213 Submitted: August 3, 212 Accepted: October 2, 212

More information

1 Introduction IPICSE-2016

1 Introduction IPICSE-2016 (06) DOI: 0.05/ matecconf/06860006 IPICSE-06 Numerical algorithm for solving of nonlinear problems of structural mechanics based on the continuation method in combination with the dynamic relaxation method

More information

Chapter 2. Deriving the Vlasov Equation From the Klimontovich Equation 19. Deriving the Vlasov Equation From the Klimontovich Equation

Chapter 2. Deriving the Vlasov Equation From the Klimontovich Equation 19. Deriving the Vlasov Equation From the Klimontovich Equation Chapter 2. Deriving the Vlasov Equation From the Klimontovich Equation 19 Chapter 2. Deriving the Vlasov Equation From the Klimontovich Equation Topics or concepts to learn in Chapter 2: 1. The microscopic

More information

Paper 1 (Edexcel Version)

Paper 1 (Edexcel Version) AS Level / Year 1 Paper 1 (Edexcel Version) Version 2 (MS for Q3b changed) 2017 crashmaths Limited 1 (a) k = 3 Correct value of k B1 (b) Correct shape B1 Root at x = 0 and x = 2 B1 Repeated root at x =

More information

Session 6: Analytical Approximations for Low Thrust Maneuvers

Session 6: Analytical Approximations for Low Thrust Maneuvers Session 6: Analytical Approximations for Low Thrust Maneuvers As mentioned in the previous lecture, solving non-keplerian problems in general requires the use of perturbation methods and many are only

More information

JUST THE MATHS UNIT NUMBER ORDINARY DIFFERENTIAL EQUATIONS 4 (Second order equations (A)) A.J.Hobson

JUST THE MATHS UNIT NUMBER ORDINARY DIFFERENTIAL EQUATIONS 4 (Second order equations (A)) A.J.Hobson JUST THE MATHS UNIT NUMBER 15.4 ORDINARY DIFFERENTIAL EQUATIONS 4 (Second order equations (A)) by A.J.Hobson 15.4.1 Introduction 15.4.2 Second order homogeneous equations 15.4.3 Special cases of the auxiliary

More information

Chapter 2. Linear Differential Equation of Second (or Higher) Order

Chapter 2. Linear Differential Equation of Second (or Higher) Order Chapter 2. Linear Differential Equation of Second (or Higher) Order Contents: Homogeneous Linear Equations of Second Order (Section 2.1) Second-Order Homogeneous Linear Equation with Constant Coefficients

More information

We will discuss matrix diagonalization algorithms in Numerical Recipes in the context of the eigenvalue problem in quantum mechanics, m A n = λ m

We will discuss matrix diagonalization algorithms in Numerical Recipes in the context of the eigenvalue problem in quantum mechanics, m A n = λ m Eigensystems We will discuss matrix diagonalization algorithms in umerical Recipes in the context of the eigenvalue problem in quantum mechanics, A n = λ n n, (1) where A is a real, symmetric Hamiltonian

More information

Thermal Systems Design MARYLAND. Fundamentals of heat transfer Radiative equilibrium Surface properties Non-ideal effects

Thermal Systems Design MARYLAND. Fundamentals of heat transfer Radiative equilibrium Surface properties Non-ideal effects Thermal Systems Design Fundamentals of heat transfer Radiative equilibrium Surface properties Non-ideal effects Internal power generation Environmental temperatures Conduction Thermal system components

More information

Topic 5: Non-Linear Relationships and Non-Linear Least Squares

Topic 5: Non-Linear Relationships and Non-Linear Least Squares Topic 5: Non-Linear Relationships and Non-Linear Least Squares Non-linear Relationships Many relationships between variables are non-linear. (Examples) OLS may not work (recall A.1). It may be biased and

More information

4. Analysis of heat conduction

4. Analysis of heat conduction 4. Analysis of heat conduction John Richard Thome 11 mars 2008 John Richard Thome (LTCM - SGM - EPFL) Heat transfer - Conduction 11 mars 2008 1 / 47 4.1 The well-posed problem Before we go further with

More information

Homework #5 Solutions

Homework #5 Solutions Homework #5 Solutions Math 123: Mathematical Modeling, Spring 2019 Instructor: Dr. Doreen De Leon 1. Exercise 7.2.5. Stefan-Boltzmann s Law of Radiation states that the temperature change dt/ of a body

More information

[Engineering Mathematics]

[Engineering Mathematics] [MATHS IV] [Engineering Mathematics] [Partial Differential Equations] [Partial Differentiation and formation of Partial Differential Equations has already been covered in Maths II syllabus. Present chapter

More information

Application of the perturbation iteration method to boundary layer type problems

Application of the perturbation iteration method to boundary layer type problems DOI 10.1186/s40064-016-1859-4 RESEARCH Open Access Application of the perturbation iteration method to boundary layer type problems Mehmet Pakdemirli * *Correspondence: mpak@cbu.edu.tr Applied Mathematics

More information

Conduction Heat Transfer. Fourier Law of Heat Conduction. x=l Q x+ Dx. insulated x+ Dx. x x. x=0 Q x A

Conduction Heat Transfer. Fourier Law of Heat Conduction. x=l Q x+ Dx. insulated x+ Dx. x x. x=0 Q x A Conduction Heat Transfer Reading Problems 10-1 10-6 10-20, 10-48, 10-59, 10-70, 10-75, 10-92 10-117, 10-123, 10-151, 10-156, 10-162 11-1 11-2 11-14, 11-20, 11-36, 11-41, 11-46, 11-53, 11-104 Fourier Law

More information

3. ANALYTICAL KINEMATICS

3. ANALYTICAL KINEMATICS In planar mechanisms, kinematic analysis can be performed either analytically or graphically In this course we first discuss analytical kinematic analysis nalytical kinematics is based on projecting the

More information

STUDY OF HEAT TRANSFER MECHANISMS DURING THE LENS TM PROCESS

STUDY OF HEAT TRANSFER MECHANISMS DURING THE LENS TM PROCESS STUDY OF HEAT TRANSFER MECHANISMS DURING THE LENS TM PROCESS Liang Wang 1 and Sergio Felicelli 1. Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 3976, USA; email:

More information

STEADY HEAT CONDUCTION IN PLANE WALLS

STEADY HEAT CONDUCTION IN PLANE WALLS FIGUE 3 STEADY HEAT CONDUCTION IN PLANE WALLS The energy balance for the wall can be expressed as ate of ate of heat trans fer heat trans fer into the wall out of the wall ate of change of the energy of

More information

Additive group invariants in positive characteristic

Additive group invariants in positive characteristic Additive group invariants in positive characteristic Emilie Dufresne Ruprecht-Karls-Universität Heidelberg June 6, 2010 Additive group invariants in pos. char. Summer meeting of the Canadian Mathematical

More information

First Variation of a Functional

First Variation of a Functional First Variation of a Functional The derivative of a function being zero is a necessary condition for the etremum of that function in ordinary calculus. Let us now consider the equivalent of a derivative

More information

r,t r R Z j ³ 0 1 4π² 0 r,t) = 4π

r,t r R Z j ³ 0 1 4π² 0 r,t) = 4π 5.4 Lienard-Wiechert Potential and Consequent Fields 5.4.1 Potential and Fields (chapter 10) Lienard-Wiechert potential In the previous section, we studied the radiation from an electric dipole, a λ/2

More information

INSTRUCTOR: PM DR MAZLAN ABDUL WAHID

INSTRUCTOR: PM DR MAZLAN ABDUL WAHID SMJ 4463: HEAT TRANSFER INSTRUCTOR: PM ABDUL WAHID http://www.fkm.utm.my/~mazlan TEXT: Introduction to Heat Transfer by Incropera, DeWitt, Bergman, Lavine 5 th Edition, John Wiley and Sons Chapter 9 Natural

More information

Constrained Optimization in Two Variables

Constrained Optimization in Two Variables in Two Variables James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 17, 216 Outline 1 2 What Does the Lagrange Multiplier Mean? Let

More information

3.3 Unsteady State Heat Conduction

3.3 Unsteady State Heat Conduction 3.3 Unsteady State Heat Conduction For many applications, it is necessary to consider the variation of temperature with time. In this case, the energy equation for classical heat conduction, eq. (3.8),

More information

General method for simulating laboratory tests with constitutive models for geomechanics

General method for simulating laboratory tests with constitutive models for geomechanics General method for simulating laboratory tests with constitutive models for geomechanics Tomáš Janda 1 and David Mašín 2 1 Czech Technical University in Prague, Faculty of Civil Engineering, Czech Republic

More information

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1. MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:

More information

Horizontal buoyancy-driven flow along a differentially cooled underlying surface

Horizontal buoyancy-driven flow along a differentially cooled underlying surface Horizontal buoyancy-driven flow along a differentially cooled underlying surface By Alan Shapiro and Evgeni Fedorovich School of Meteorology, University of Oklahoma, Norman, OK, USA 6th Baltic Heat Transfer

More information

Supplement to Molecular Gas TitleBirkhäuser, Boston, 007 Dynamic Version Authors Sone, Yoshio Citation Yoshio Sone. 008 Issue Date 008-09-0 URL http://hdl.handle.net/433/66098 Right Type Book Textversion

More information

IMPLEMENTATION OF AN ADJOINT THERMAL SOLVER FOR INVERSE PROBLEMS

IMPLEMENTATION OF AN ADJOINT THERMAL SOLVER FOR INVERSE PROBLEMS Paper ID: ETC217-336 Proceedings of 12th European Conference on Turbomachinery Fluid dynamics & Thermodynamics ETC12, April 3-7, 217; Stockholm, Sweden IMPLEMENTATION OF AN ADJOINT THERMAL SOLVER FOR INVERSE

More information

10550 PRACTICE FINAL EXAM SOLUTIONS. x 2 4. x 2 x 2 5x +6 = lim x +2. x 2 x 3 = 4 1 = 4.

10550 PRACTICE FINAL EXAM SOLUTIONS. x 2 4. x 2 x 2 5x +6 = lim x +2. x 2 x 3 = 4 1 = 4. 55 PRACTICE FINAL EXAM SOLUTIONS. First notice that x 2 4 x 2x + 2 x 2 5x +6 x 2x. This function is undefined at x 2. Since, in the it as x 2, we only care about what happens near x 2 an for x less than

More information

1D heat conduction problems

1D heat conduction problems Chapter 1D heat conduction problems.1 1D heat conduction equation When we consider one-dimensional heat conduction problems of a homogeneous isotropic solid, the Fourier equation simplifies to the form:

More information

Abstract. 2. We construct several transcendental numbers.

Abstract. 2. We construct several transcendental numbers. Abstract. We prove Liouville s Theorem for the order of approximation by rationals of real algebraic numbers. 2. We construct several transcendental numbers. 3. We define Poissonian Behaviour, and study

More information

Chapter 9 NATURAL CONVECTION

Chapter 9 NATURAL CONVECTION Heat and Mass Transfer: Fundamentals & Applications Fourth Edition in SI Units Yunus A. Cengel, Afshin J. Ghajar McGraw-Hill, 2011 Chapter 9 NATURAL CONVECTION PM Dr Mazlan Abdul Wahid Universiti Teknologi

More information

External Forced Convection :

External Forced Convection : External Forced Convection : Flow over Bluff Objects (Cylinders, Spheres, Packed Beds) and Impinging Jets Chapter 7 Sections 7.4 through 7.8 7.4 The Cylinder in Cross Flow Conditions depend on special

More information

PROBLEM L. (3) Noting that since the aperture emits diffusely, I e = E/π (see Eq ), and hence

PROBLEM L. (3) Noting that since the aperture emits diffusely, I e = E/π (see Eq ), and hence PROBLEM 1.004 KNOWN: Furnace with prescribed aperture and emissive power. FIND: (a) Position of gauge such that irradiation is G = 1000 W/m, (b) Irradiation when gauge is tilted θ d = 0 o, and (c) Compute

More information

ab = c a If the coefficients a,b and c are real then either α and β are real or α and β are complex conjugates

ab = c a If the coefficients a,b and c are real then either α and β are real or α and β are complex conjugates Further Pure Summary Notes. Roots of Quadratic Equations For a quadratic equation ax + bx + c = 0 with roots α and β Sum of the roots Product of roots a + b = b a ab = c a If the coefficients a,b and c

More information

q t = F q x. (1) is a flux of q due to diffusion. Although very complex parameterizations for F q

q t = F q x. (1) is a flux of q due to diffusion. Although very complex parameterizations for F q ! Revised Tuesday, December 8, 015! 1 Chapter 7: Diffusion Copyright 015, David A. Randall 7.1! Introduction Diffusion is a macroscopic statistical description of microscopic advection. Here microscopic

More information

We can regard an indefinite integral as representing an entire family of functions (one antiderivative for each value of the constant C).

We can regard an indefinite integral as representing an entire family of functions (one antiderivative for each value of the constant C). 4.4 Indefinite Integrals and the Net Change Theorem Because of the relation given by the Fundamental Theorem of Calculus between antiderivatives and integrals, the notation f(x) dx is traditionally used

More information

One Dimensional Convection: Interpolation Models for CFD

One Dimensional Convection: Interpolation Models for CFD One Dimensional Convection: Interpolation Models for CFD ME 448/548 Notes Gerald Recktenwald Portland State University Department of Mechanical Engineering gerry@pdx.edu ME 448/548: 1D Convection-Diffusion

More information

Chapter 5 HIGH ACCURACY CUBIC SPLINE APPROXIMATION FOR TWO DIMENSIONAL QUASI-LINEAR ELLIPTIC BOUNDARY VALUE PROBLEMS

Chapter 5 HIGH ACCURACY CUBIC SPLINE APPROXIMATION FOR TWO DIMENSIONAL QUASI-LINEAR ELLIPTIC BOUNDARY VALUE PROBLEMS Chapter 5 HIGH ACCURACY CUBIC SPLINE APPROXIMATION FOR TWO DIMENSIONAL QUASI-LINEAR ELLIPTIC BOUNDARY VALUE PROBLEMS 5.1 Introduction When a physical system depends on more than one variable a general

More information

Taylor and Laurent Series

Taylor and Laurent Series Chapter 4 Taylor and Laurent Series 4.. Taylor Series 4... Taylor Series for Holomorphic Functions. In Real Analysis, the Taylor series of a given function f : R R is given by: f (x + f (x (x x + f (x

More information

Numerical Optimization

Numerical Optimization Constrained Optimization Computer Science and Automation Indian Institute of Science Bangalore 560 012, India. NPTEL Course on Constrained Optimization Constrained Optimization Problem: min h j (x) 0,

More information

Constrained Optimization in Two Variables

Constrained Optimization in Two Variables Constrained Optimization in Two Variables James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 17, 216 Outline Constrained Optimization

More information

PROBLEM 9.3. KNOWN: Relation for the Rayleigh number. FIND: Rayleigh number for four fluids for prescribed conditions. SCHEMATIC:

PROBLEM 9.3. KNOWN: Relation for the Rayleigh number. FIND: Rayleigh number for four fluids for prescribed conditions. SCHEMATIC: PROBEM.3 KNOWN: Relation for the Rayleigh number. FIND: Rayleigh number for four fluids for prescribed conditions. ASSUMPTIONS: (1 Perfect gas behavior for specified gases. PROPERTIES: Table A-4, Air (400K,

More information

Unit II Thermal Physics Introduction- Modes of Heat Transfer Normally there are three modes of transfer of heat from one place to another viz., conduction, convection and radiation. Conduction : Conduction

More information

Physics 116A Solutions to Homework Set #2 Winter 2012

Physics 116A Solutions to Homework Set #2 Winter 2012 Physics 6A Solutions to Homework Set #2 Winter 22. Boas, problem. 23. Transform the series 3 n (n+ (+ n determine the interval of convergence to a power series and First we want to make the replacement

More information

Some definitions. Math 1080: Numerical Linear Algebra Chapter 5, Solving Ax = b by Optimization. A-inner product. Important facts

Some definitions. Math 1080: Numerical Linear Algebra Chapter 5, Solving Ax = b by Optimization. A-inner product. Important facts Some definitions Math 1080: Numerical Linear Algebra Chapter 5, Solving Ax = b by Optimization M. M. Sussman sussmanm@math.pitt.edu Office Hours: MW 1:45PM-2:45PM, Thack 622 A matrix A is SPD (Symmetric

More information

2012 HSC Notes from the Marking Centre Mathematics Extension 2

2012 HSC Notes from the Marking Centre Mathematics Extension 2 Contents 01 HSC Notes from the Marking Centre Mathematics Extension Introduction...1 General comments...1 Question 11...1 Question 1... Question 13...3 Question 14...4 Question 15...5 Question 16...6 Introduction

More information

III. TRANSFORMATION RELATIONS

III. TRANSFORMATION RELATIONS III. TRANSFORMATION RELATIONS The transformation relations from cartesian coordinates to a general curvilinear system are developed here using certain concepts from differential geometry and tensor analysis,

More information

PROBLEM (a) Long duct (L): By inspection, F12. By reciprocity, (b) Small sphere, A 1, under concentric hemisphere, A 2, where A 2 = 2A

PROBLEM (a) Long duct (L): By inspection, F12. By reciprocity, (b) Small sphere, A 1, under concentric hemisphere, A 2, where A 2 = 2A PROBLEM 3. KNON: Various geometric shapes involving two areas and. FIND: Shape factors, F and F, for each configuration. SSUMPTIONS: Surfaces are diffuse. NLYSIS: The analysis is not to make use of tables

More information

Mathematics 324 Riemann Zeta Function August 5, 2005

Mathematics 324 Riemann Zeta Function August 5, 2005 Mathematics 324 Riemann Zeta Function August 5, 25 In this note we give an introduction to the Riemann zeta function, which connects the ideas of real analysis with the arithmetic of the integers. Define

More information

Chapter 3: Transient Heat Conduction

Chapter 3: Transient Heat Conduction 3-1 Lumped System Analysis 3- Nondimensional Heat Conduction Equation 3-3 Transient Heat Conduction in Semi-Infinite Solids 3-4 Periodic Heating Y.C. Shih Spring 009 3-1 Lumped System Analysis (1) In heat

More information

ME 315 Final Examination Solution 8:00-10:00 AM Friday, May 8, 2009 CIRCLE YOUR DIVISION

ME 315 Final Examination Solution 8:00-10:00 AM Friday, May 8, 2009 CIRCLE YOUR DIVISION ME 315 Final Examination Solution 8:00-10:00 AM Friday, May 8, 009 This is a closed-book, closed-notes examination. There is a formula sheet at the back. You must turn off all communications devices before

More information

MS 2001: Test 1 B Solutions

MS 2001: Test 1 B Solutions MS 2001: Test 1 B Solutions Name: Student Number: Answer all questions. Marks may be lost if necessary work is not clearly shown. Remarks by me in italics and would not be required in a test - J.P. Question

More information

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

AA210A Fundamentals of Compressible Flow. Chapter 1 - Introduction to fluid flow AA210A Fundamentals of Compressible Flow Chapter 1 - Introduction to fluid flow 1 1.2 Conservation of mass Mass flux in the x-direction [ ρu ] = M L 3 L T = M L 2 T Momentum per unit volume Mass per unit

More information

MAS113 Introduction to Probability and Statistics. Proofs of theorems

MAS113 Introduction to Probability and Statistics. Proofs of theorems MAS113 Introduction to Probability and Statistics Proofs of theorems Theorem 1 De Morgan s Laws) See MAS110 Theorem 2 M1 By definition, B and A \ B are disjoint, and their union is A So, because m is a

More information

Thermal Systems Design

Thermal Systems Design Thermal Systems Design Fundamentals of heat transfer Radiative equilibrium Surface properties Non-ideal effects Internal power generation Environmental temperatures Conduction Thermal system components

More information

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

Mechanical Engineering. Postal Correspondence Course HEAT TRANSFER. GATE, IES & PSUs Heat Transfer-ME GATE, IES, PSU 1 SAMPLE STUDY MATERIAL Mechanical Engineering ME Postal Correspondence Course HEAT TRANSFER GATE, IES & PSUs Heat Transfer-ME GATE, IES, PSU 2 C O N T E N T 1. INTRODUCTION

More information

4F3 - Predictive Control

4F3 - Predictive Control 4F3 Predictive Control - Lecture 3 p 1/21 4F3 - Predictive Control Lecture 3 - Predictive Control with Constraints Jan Maciejowski jmm@engcamacuk 4F3 Predictive Control - Lecture 3 p 2/21 Constraints on

More information

Project #1 Internal flow with thermal convection

Project #1 Internal flow with thermal convection Project #1 Internal flow with thermal convection MAE 494/598, Fall 2017, Project 1 (20 points) Hard copy of report is due at the start of class on the due date. The rules on collaboration will be released

More information

1 One-Dimensional, Steady-State Conduction

1 One-Dimensional, Steady-State Conduction 1 One-Dimensional, Steady-State Conduction 1.1 Conduction Heat Transfer 1.1.1 Introduction Thermodynamics defines heat as a transfer of energy across the boundary of a system as a result of a temperature

More information

Gradient, Divergence and Curl in Curvilinear Coordinates

Gradient, Divergence and Curl in Curvilinear Coordinates Gradient, Divergence and Curl in Curvilinear Coordinates Although cartesian orthogonal coordinates are very intuitive and easy to use, it is often found more convenient to work with other coordinate systems.

More information

Vectors, metric and the connection

Vectors, metric and the connection Vectors, metric and the connection 1 Contravariant and covariant vectors 1.1 Contravariant vectors Imagine a particle moving along some path in the 2-dimensional flat x y plane. Let its trajectory be given

More information

Using Excel to Implement the Finite Difference Method for 2-D Heat Transfer in a Mechanical Engineering Technology Course

Using Excel to Implement the Finite Difference Method for 2-D Heat Transfer in a Mechanical Engineering Technology Course Paper ID #9196 Using Excel to Implement the Finite Difference Method for -D Heat ransfer in a Mechanical Engineering echnology Course Mr. Robert Edwards, Pennsylvania State University, Erie Bob Edwards

More information

Coupled Thermomechanical Contact Problems

Coupled Thermomechanical Contact Problems Coupled Thermomechanical Contact Problems Computational Modeling of Solidification Processes C. Agelet de Saracibar, M. Chiumenti, M. Cervera ETS Ingenieros de Caminos, Canales y Puertos, Barcelona, UPC

More information

Transduction Based on Changes in the Energy Stored in an Electrical Field. Lecture 6-5. Department of Mechanical Engineering

Transduction Based on Changes in the Energy Stored in an Electrical Field. Lecture 6-5. Department of Mechanical Engineering Transduction Based on Changes in the Energy Stored in an Electrical Field Lecture 6-5 Transducers with cylindrical Geometry For a cylinder of radius r centered inside a shell with with an inner radius

More information

QUESTION ANSWER. . e. Fourier number:

QUESTION ANSWER. . e. Fourier number: QUESTION 1. (0 pts) The Lumped Capacitance Method (a) List and describe the implications of the two major assumptions of the lumped capacitance method. (6 pts) (b) Define the Biot number by equations and

More information

Partial Fractions. Combining fractions over a common denominator is a familiar operation from algebra: 2 x 3 + 3

Partial Fractions. Combining fractions over a common denominator is a familiar operation from algebra: 2 x 3 + 3 Partial Fractions Combining fractions over a common denominator is a familiar operation from algebra: x 3 + 3 x + x + 3x 7 () x 3 3x + x 3 From the standpoint of integration, the left side of Equation

More information

Nonlinear parabolic equation model for finite-amplitude sound propagation in an inhomogeneous medium over a non-flat, finite-impedance ground surface

Nonlinear parabolic equation model for finite-amplitude sound propagation in an inhomogeneous medium over a non-flat, finite-impedance ground surface Nonlinear parabolic equation model for finite-amplitude sound propagation in an inhomogeneous medium over a non-flat, finite-impedance ground surface T. Leissing a, P. A H Jean a, J. Defrance a and C.

More information

ELEC9712 High Voltage Systems. 1.2 Heat transfer from electrical equipment

ELEC9712 High Voltage Systems. 1.2 Heat transfer from electrical equipment ELEC9712 High Voltage Systems 1.2 Heat transfer from electrical equipment The basic equation governing heat transfer in an item of electrical equipment is the following incremental balance equation, with

More information

Response Surface Methods

Response Surface Methods Response Surface Methods 3.12.2014 Goals of Today s Lecture See how a sequence of experiments can be performed to optimize a response variable. Understand the difference between first-order and second-order

More information

Mathematical Modeling of Chemical Processes. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University

Mathematical Modeling of Chemical Processes. Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University Mathematical Modeling of Chemical Processes Aisha Osman Mohamed Ahmed Department of Chemical Engineering Faculty of Engineering, Red Sea University Chapter Objectives End of this chapter, you should be

More information

Direct Sum. McKelvey, and Madie Wilkin Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba. July 23, Michigan St.

Direct Sum. McKelvey, and Madie Wilkin Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba. July 23, Michigan St. and Adviser: Dr. Andrew Christlieb Co-advisers: Eric Wolf and Justin Droba Michigan St. University July 23, 2014 The N-Body Problem Solar systems The N-Body Problem Solar systems Interacting charges, gases

More information

arxiv: v1 [math.na] 7 May 2009

arxiv: v1 [math.na] 7 May 2009 The hypersecant Jacobian approximation for quasi-newton solves of sparse nonlinear systems arxiv:0905.105v1 [math.na] 7 May 009 Abstract Johan Carlsson, John R. Cary Tech-X Corporation, 561 Arapahoe Avenue,

More information

Numerical Analysis: Solutions of System of. Linear Equation. Natasha S. Sharma, PhD

Numerical Analysis: Solutions of System of. Linear Equation. Natasha S. Sharma, PhD Mathematical Question we are interested in answering numerically How to solve the following linear system for x Ax = b? where A is an n n invertible matrix and b is vector of length n. Notation: x denote

More information

MATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 8 SOLUTIONS

MATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 8 SOLUTIONS MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 8 SOLUTIONS. Let f : R R be continuous periodic with period, i.e. f(x + ) = f(x) for all x R. Prove the following: (a) f is bounded above below

More information

MA 137 Calculus 1 with Life Science Applications The Chain Rule and Higher Derivatives (Section 4.4)

MA 137 Calculus 1 with Life Science Applications The Chain Rule and Higher Derivatives (Section 4.4) MA 137 Calculus 1 with Life Science Applications and (Section 4.4) Alberto Corso alberto.corso@uky.edu Department of Mathematics University of Kentucky March 2, 2016 1/15 Theorem Rules of Differentiation

More information

Introduction to Heat and Mass Transfer. Week 9

Introduction to Heat and Mass Transfer. Week 9 Introduction to Heat and Mass Transfer Week 9 補充! Multidimensional Effects Transient problems with heat transfer in two or three dimensions can be considered using the solutions obtained for one dimensional

More information