SlideShare a Scribd company logo
2
Most read
3
Most read
12
Most read
Application of Numerical Methods
(Finite Difference) In
Heat Transfer
Presented By:
Shivshambhu Kumar
Roll No.-15MPE15
1
Introduction:
 The evolution of numerical methods, especially Finite
Difference methods for solving ordinary and partial
differential equations, started approximately with the
beginning of 20th
century (1)[1].
 Many problems in engineering and science can be
formulated in terms of differential equations. A differential
equation is an equation involving a relation between an
unknown function and one or more of its derivatives.
 Equations involving derivatives of only one independent
variable are called ordinary differential equations and may
be classified as either initial-value problems (IVP) or
boundary-value problems (BVP)[2].
2
Heat Equation:
The one-dimensional heat equation is
2
2
,0 , 0x L t
x x
φ φ
α
∂ ∂
= < > >
∂ ∂
3
Numerical Methods for Unsteady Heat Transfer
2 2
2 2
1 T T T
t x yα
∂ ∂ ∂
= +
∂ ∂ ∂
Unsteady heat transfer equation, no generation, constant k, two-
dimensional in Cartesian coordinate:
To discretize the Laplacian operator into system of finite difference
equations using nodal network. For the unsteady problem, the temperature
variation with time needs to be discretized too. To be consistent with the
notation from the book, we choose to analyze the time variation in small
time increment ∆t, such that the real time t=p∆t. The time differentiation
can be approximated as:
1
, ,
,
........................( )
while m & n correspond to nodal location
such that x=m x, and y=n y.
P P
m n m n
m n
T TT
A
t t
+
−∂
≈
∂ ∆
∆ ∆
4
The Finite-Difference Method
• An approximate method for determining temperatures at discrete (nodal) points
of the physical system and at discrete times during the transient process.
• Procedure:
─ Represent the physical system by a nodal network, with an m, n notation used
to designate the location of discrete points in the network,
─ Use the energy balance method to obtain a finite-difference equation for
each node of unknown temperature.
─ Solve the resulting set of equations for the nodal temperatures at
t = ∆t, 2∆t, 3∆t, …, until steady-state is reached.
and discretize the
problem in time by designating a time increment ∆t and expressing the time
as t = p∆t, where p assumes integer values, (p = 0, 1, 2,…).
5
The Explicit Method of Solution
• All other terms in the energy balance are evaluated at the preceding time
corresponding to p. Equation (A) is then termed a forward-difference
approximation.
• Example: Two-dimensional conduction
for an interior node with ∆x=∆y.
( ) ( )1
, ,1, 1, , 1 , 1 1 4p p p p p p
m n m nm n m n m n m nT Fo T T T T Fo T+
+ − + −= + + + + −
( )2
finite-difference form o Fourf ier number
t
Fo
x
α∆
= →
∆
• Unknown nodal temperatures at the new time, t = (p+1)∆t, are determined
exclusively by known nodal temperatures at the preceding time, t = p∆t, hence
the term explicit solution.
6
1
, ,..............................
0
p p
m n m nT AT
A
+
= +
≥
Hence, for the two-dimensional interior node:
( )1 4 0Fo− ≥
1
4
Fo ≤
( )2
4
x
t
α
∆
∆ ≤
For a finite-difference equation of the
form,
7
Marching Solution
• Transient temperature distribution is determined by a marching solution,
beginning with known initial conditions.
1 ∆t -- -- -- ……………
--
Known
2 2∆t -- -- -- ……………
--
3 3∆t -- -- -- ……………
--
. .
. .
. .
. .
. .
. .
Steady-state -- -- -- -- …………….
--
p t T1 T2 T3……………….. TN
0 0 T1,i T2,i T3,i………………. TN,i
8
Finite Difference Equations
From the nodal network to the left, the heat
equation can be written in finite difference
form:
( )
( )
1
, , 1, 1, , , 1 , 1 ,
2 2
2
1
, 1, 1, , 1 , 1 ,
2 21
( ) ( )
t
Assume x= y and the discretized Fourier number Fo=
x
(1 4 )
This is the
P P P P P P P P
m n m n m n m n m n m n m n m n
P P P P P P
m n m n m n m n m n m n
T T T T T T T T
t x y
T Fo T T T T Fo T
α
α
+
+ − + −
+
+ − + −
− + − + −
= +
∆ ∆ ∆
∆
∆ ∆
∆
= + + + + −
expl , finite difference equation for a 2-D,
unsteady heat transfer equation.
The temperature at time p+1 is explicitly expressed as a
function of neighboring temperatures at an earlier time p
icit
9
Nodal Equations
Nodal equation can be written by using different points in the
given problem, there is a stability criterion for each nodal
configuration. This criterion has to be satisfied for the finite
difference solution to be stable. Otherwise, the solution may be
diverging and never reach the final solution.
For example, Fo≤1/4. That is, α∆t/(∆x)2
≤1/4 and ∆t≤(1/4α)(∆x)2
.
Therefore, the time increment has to be small enough in order to
maintain stability of the solution.
This criterion can also be interpreted as that we should require the
coefficient for TP
m,n in the finite difference equation be greater
than or equal to zero.
10
Finite Difference Solution:
Steps used to solve the finite difference equation:
1.First, by specifying initial conditions for all points inside the
nodal network. That is to specify values for all temperature at
time level p=0.
2. Important: check stability criterion for each points.
3.From the explicit equation, we can determine all temperature at
the next time level p+1=0+1=1. The following transient response
can then be determined by marching out in time p+2, p+3, and so
on.
11
Example
Example: A flat plate at an initial temperature of 100 deg. is suddenly
immersed into a cold temperature bath of 0 deg. Use the unsteady finite
difference equation to determine the transient response of the temperature
of the plate.
1
2 3
x
L(thickness)=0.02 m, k=10 W/m.K, α=10×10-6
m2
/s,
h=1000 W/m2
.K, Ti=100°C, T∞=0°C, ∆x=0.01 m
Bi=(h∆x)/k=1, Fo=(α∆t)/(∆x)2
=0.1
There are three nodal points: 1 interior and two
exterior points: For node 2, it satisfies the case 1
configuration in table.
1
2 1 3 2 2 2 1 3 2
1 3 2
( ) (1 4 ) ( ) (1 2 )
0.1( ) 0.8
1
Stability criterion: 1-2Fo 0 or Fo=0.1 ,it is satisfied
2
P P P P P P P P P
P P P
T Fo T T T T Fo T Fo T T Fo T
T T T
+
= + + + + − = + + −
= + +
≥ ≤
12
1
1 2 1 1 1
2 1 2 1
1
3 2 3
For nodes 1 & 3, they are consistent with the case 3 in table.
Node 1: (2 2 ) (1 4 2 )
(2 2 ) (1 2 2 ) 0.2 0.6
Node 3: 0.2 0.6
Stability cr
P P P P P
P P P P
P P P
T Fo T T T BiT Fo BiFo T
Fo T BiT Fo BiFo T T T
T T T
+
∞
∞
+
= + + + + − −
= + + − − = +
= +
1
1 2 1
1
2 1 3 2
1
3 2 3
1
iterion: (1-2Fo-2BiFo) 0, (1 ) 0.2 and it is satisfied
2
System of equations
0.2 0.6
0.1( ) 0.8
0.2 0.6
P P P
P P P P
P P P
Fo Bi
T T T
T T T T
T T T
+
+
+
≥ ≥ + =
= +
= + +
= +
Use initial condition, T = T = T = 100,1
0
2
0
3
0
T T T
T T T T
T T T
1
1
2
0
1
0
2
1
1
0
3
0
2
0
3
1
2
0
3
0
0 2 0 6 80
01 0 8 100
0 2 0 6 80
= + =
= + + =
= + =
. .
. ( ) .
. .
Marching in time, T = T = 80, T = 100
, and so on
1
1
3
1
2
1
T T T
T T T T
T T T
1
2
2
1
1
1
2
2
1
1
3
1
2
1
3
2
2
1
3
1
0 2 0 6 0 2 100 0 6 68
01 0 8 01 80 0 8 100 96
0 2 0 6 0 2 100 0 6 68
= + = + =
= + + = + + =
= + = + =
. . . ( ) . (80)
. ( ) . . (80 ) . ( )
. . . ( ) . (80)
Example
13
References:
1. John C, Dale Anderson, Richard Pletcher. Computational Fluid Mechanics and Heat
Transfer. Second Edition. USA : Taylors&Francis, 1997.
2. Davis, Mark E.. Numerical methods and modeling for chemical. New York : John Wiley &
Sons, 2001
3. Introduction to Heat Transfer by S.K SOM Page 177-192
4. http://nptel.ac.in/
5. https://en.wikipedia.org
14

More Related Content

PDF
Numerical methods in Transient-heat-conduction
PPTX
Finite difference equation
PPT
heat conduction equations
PDF
Fundamentals of Finite Difference Methods
 
PPTX
Numerical methods for 2 d heat transfer
PDF
finite volume method
PDF
Introduction to cfd
PDF
NUMERICAL METHODS IN STEADY STATE, 1D and 2D HEAT CONDUCTION- Part-II
Numerical methods in Transient-heat-conduction
Finite difference equation
heat conduction equations
Fundamentals of Finite Difference Methods
 
Numerical methods for 2 d heat transfer
finite volume method
Introduction to cfd
NUMERICAL METHODS IN STEADY STATE, 1D and 2D HEAT CONDUCTION- Part-II

What's hot (20)

PPT
Dynamic response to harmonic excitation
PPTX
Transient heat conduction
PPTX
Finite element method
PPT
Chapter 4 TRANSIENT HEAT CONDUCTION
PPTX
Chapt 6 forced heat convection (interanl flow) t
PDF
Fins equation & lumped heat capacity system
 
PDF
FINITE DIFFERENCE MODELLING FOR HEAT TRANSFER PROBLEMS
PDF
Fluid Mechanics Chapter 4. Differential relations for a fluid flow
PPT
Chapter 1 INTRODUCTION AND BASIC CONCEPTS
PPT
Finite Element Analysis - UNIT-2
PDF
FEM: Introduction and Weighted Residual Methods
PPT
FLUID MECHANICS - COMPUTATIONAL FLUID DYNAMICS (CFD)
PPT
Chapter 5 NUMERICAL METHODS IN HEAT CONDUCTION
PDF
Transient heat-conduction-Part-I
PPTX
Fluid dynamics 1
PPTX
Phase change heat transfer
PPTX
Finite Element Analysis of Truss Structures
PDF
CFD : Modern Applications, Challenges and Future Trends
PPTX
Dimesional Analysis
PPTX
Fundamentals of Computational Fluid Dynamics
Dynamic response to harmonic excitation
Transient heat conduction
Finite element method
Chapter 4 TRANSIENT HEAT CONDUCTION
Chapt 6 forced heat convection (interanl flow) t
Fins equation & lumped heat capacity system
 
FINITE DIFFERENCE MODELLING FOR HEAT TRANSFER PROBLEMS
Fluid Mechanics Chapter 4. Differential relations for a fluid flow
Chapter 1 INTRODUCTION AND BASIC CONCEPTS
Finite Element Analysis - UNIT-2
FEM: Introduction and Weighted Residual Methods
FLUID MECHANICS - COMPUTATIONAL FLUID DYNAMICS (CFD)
Chapter 5 NUMERICAL METHODS IN HEAT CONDUCTION
Transient heat-conduction-Part-I
Fluid dynamics 1
Phase change heat transfer
Finite Element Analysis of Truss Structures
CFD : Modern Applications, Challenges and Future Trends
Dimesional Analysis
Fundamentals of Computational Fluid Dynamics
Ad

Similar to Application of Numerical Methods (Finite Difference) in Heat Transfer (20)

PPTX
Graphical methods for 2 d heat transfer
PPT
numerical.ppt
PPT
introduction to numerical analysis .ppt
PPT
This is related to numberical method, in engineering college
PDF
Numerical methods- Steady-state-1D-and-2D-Part- I
PDF
Projectwork on different boundary conditions in FDM.
PDF
Heat Conduction Simulation with FDM
PPTX
TWO DIMENSIONAL STEADY STATE HEAT CONDUCTION
PDF
two dimensional steady state heat conduction
PDF
Numerical simulation on laminar free convection flow and heat transfer over a...
PPTX
One Dimensional Steady State Heat Conduction
PPT
cfdht-fvm-unit3.ppt
PDF
Finite Element Solution On Effects Of Viscous Dissipation & Diffusion Thermo ...
PPT
FINITE DIFFERENCE.ppt slides for students
PPT
FINITE DIFFERENCE using numerical method.ppt
PDF
Numerical study of natural convection in an enclosed
PPTX
Two dimension steady state heat comduction.pptx
PPT
M220w07
PDF
Nonlinear steady state heat transfer NASA.pdf
DOCX
Numerical report gauss
Graphical methods for 2 d heat transfer
numerical.ppt
introduction to numerical analysis .ppt
This is related to numberical method, in engineering college
Numerical methods- Steady-state-1D-and-2D-Part- I
Projectwork on different boundary conditions in FDM.
Heat Conduction Simulation with FDM
TWO DIMENSIONAL STEADY STATE HEAT CONDUCTION
two dimensional steady state heat conduction
Numerical simulation on laminar free convection flow and heat transfer over a...
One Dimensional Steady State Heat Conduction
cfdht-fvm-unit3.ppt
Finite Element Solution On Effects Of Viscous Dissipation & Diffusion Thermo ...
FINITE DIFFERENCE.ppt slides for students
FINITE DIFFERENCE using numerical method.ppt
Numerical study of natural convection in an enclosed
Two dimension steady state heat comduction.pptx
M220w07
Nonlinear steady state heat transfer NASA.pdf
Numerical report gauss
Ad

Recently uploaded (20)

PPTX
bas. eng. economics group 4 presentation 1.pptx
PPTX
Foundation to blockchain - A guide to Blockchain Tech
PPTX
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PDF
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PPTX
Construction Project Organization Group 2.pptx
PPTX
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
PPTX
Lecture Notes Electrical Wiring System Components
PPTX
Strings in CPP - Strings in C++ are sequences of characters used to store and...
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
PPTX
Lesson 3_Tessellation.pptx finite Mathematics
PPTX
UNIT 4 Total Quality Management .pptx
PPTX
Internet of Things (IOT) - A guide to understanding
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PDF
Model Code of Practice - Construction Work - 21102022 .pdf
PPTX
Welding lecture in detail for understanding
bas. eng. economics group 4 presentation 1.pptx
Foundation to blockchain - A guide to Blockchain Tech
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
Embodied AI: Ushering in the Next Era of Intelligent Systems
Operating System & Kernel Study Guide-1 - converted.pdf
The CXO Playbook 2025 – Future-Ready Strategies for C-Suite Leaders Cerebrai...
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
Construction Project Organization Group 2.pptx
Infosys Presentation by1.Riyan Bagwan 2.Samadhan Naiknavare 3.Gaurav Shinde 4...
Lecture Notes Electrical Wiring System Components
Strings in CPP - Strings in C++ are sequences of characters used to store and...
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
IOT PPTs Week 10 Lecture Material.pptx of NPTEL Smart Cities contd
Lesson 3_Tessellation.pptx finite Mathematics
UNIT 4 Total Quality Management .pptx
Internet of Things (IOT) - A guide to understanding
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
Model Code of Practice - Construction Work - 21102022 .pdf
Welding lecture in detail for understanding

Application of Numerical Methods (Finite Difference) in Heat Transfer

  • 1. Application of Numerical Methods (Finite Difference) In Heat Transfer Presented By: Shivshambhu Kumar Roll No.-15MPE15 1
  • 2. Introduction:  The evolution of numerical methods, especially Finite Difference methods for solving ordinary and partial differential equations, started approximately with the beginning of 20th century (1)[1].  Many problems in engineering and science can be formulated in terms of differential equations. A differential equation is an equation involving a relation between an unknown function and one or more of its derivatives.  Equations involving derivatives of only one independent variable are called ordinary differential equations and may be classified as either initial-value problems (IVP) or boundary-value problems (BVP)[2]. 2
  • 3. Heat Equation: The one-dimensional heat equation is 2 2 ,0 , 0x L t x x φ φ α ∂ ∂ = < > > ∂ ∂ 3
  • 4. Numerical Methods for Unsteady Heat Transfer 2 2 2 2 1 T T T t x yα ∂ ∂ ∂ = + ∂ ∂ ∂ Unsteady heat transfer equation, no generation, constant k, two- dimensional in Cartesian coordinate: To discretize the Laplacian operator into system of finite difference equations using nodal network. For the unsteady problem, the temperature variation with time needs to be discretized too. To be consistent with the notation from the book, we choose to analyze the time variation in small time increment ∆t, such that the real time t=p∆t. The time differentiation can be approximated as: 1 , , , ........................( ) while m & n correspond to nodal location such that x=m x, and y=n y. P P m n m n m n T TT A t t + −∂ ≈ ∂ ∆ ∆ ∆ 4
  • 5. The Finite-Difference Method • An approximate method for determining temperatures at discrete (nodal) points of the physical system and at discrete times during the transient process. • Procedure: ─ Represent the physical system by a nodal network, with an m, n notation used to designate the location of discrete points in the network, ─ Use the energy balance method to obtain a finite-difference equation for each node of unknown temperature. ─ Solve the resulting set of equations for the nodal temperatures at t = ∆t, 2∆t, 3∆t, …, until steady-state is reached. and discretize the problem in time by designating a time increment ∆t and expressing the time as t = p∆t, where p assumes integer values, (p = 0, 1, 2,…). 5
  • 6. The Explicit Method of Solution • All other terms in the energy balance are evaluated at the preceding time corresponding to p. Equation (A) is then termed a forward-difference approximation. • Example: Two-dimensional conduction for an interior node with ∆x=∆y. ( ) ( )1 , ,1, 1, , 1 , 1 1 4p p p p p p m n m nm n m n m n m nT Fo T T T T Fo T+ + − + −= + + + + − ( )2 finite-difference form o Fourf ier number t Fo x α∆ = → ∆ • Unknown nodal temperatures at the new time, t = (p+1)∆t, are determined exclusively by known nodal temperatures at the preceding time, t = p∆t, hence the term explicit solution. 6
  • 7. 1 , ,.............................. 0 p p m n m nT AT A + = + ≥ Hence, for the two-dimensional interior node: ( )1 4 0Fo− ≥ 1 4 Fo ≤ ( )2 4 x t α ∆ ∆ ≤ For a finite-difference equation of the form, 7
  • 8. Marching Solution • Transient temperature distribution is determined by a marching solution, beginning with known initial conditions. 1 ∆t -- -- -- …………… -- Known 2 2∆t -- -- -- …………… -- 3 3∆t -- -- -- …………… -- . . . . . . . . . . . . Steady-state -- -- -- -- ……………. -- p t T1 T2 T3……………….. TN 0 0 T1,i T2,i T3,i………………. TN,i 8
  • 9. Finite Difference Equations From the nodal network to the left, the heat equation can be written in finite difference form: ( ) ( ) 1 , , 1, 1, , , 1 , 1 , 2 2 2 1 , 1, 1, , 1 , 1 , 2 21 ( ) ( ) t Assume x= y and the discretized Fourier number Fo= x (1 4 ) This is the P P P P P P P P m n m n m n m n m n m n m n m n P P P P P P m n m n m n m n m n m n T T T T T T T T t x y T Fo T T T T Fo T α α + + − + − + + − + − − + − + − = + ∆ ∆ ∆ ∆ ∆ ∆ ∆ = + + + + − expl , finite difference equation for a 2-D, unsteady heat transfer equation. The temperature at time p+1 is explicitly expressed as a function of neighboring temperatures at an earlier time p icit 9
  • 10. Nodal Equations Nodal equation can be written by using different points in the given problem, there is a stability criterion for each nodal configuration. This criterion has to be satisfied for the finite difference solution to be stable. Otherwise, the solution may be diverging and never reach the final solution. For example, Fo≤1/4. That is, α∆t/(∆x)2 ≤1/4 and ∆t≤(1/4α)(∆x)2 . Therefore, the time increment has to be small enough in order to maintain stability of the solution. This criterion can also be interpreted as that we should require the coefficient for TP m,n in the finite difference equation be greater than or equal to zero. 10
  • 11. Finite Difference Solution: Steps used to solve the finite difference equation: 1.First, by specifying initial conditions for all points inside the nodal network. That is to specify values for all temperature at time level p=0. 2. Important: check stability criterion for each points. 3.From the explicit equation, we can determine all temperature at the next time level p+1=0+1=1. The following transient response can then be determined by marching out in time p+2, p+3, and so on. 11
  • 12. Example Example: A flat plate at an initial temperature of 100 deg. is suddenly immersed into a cold temperature bath of 0 deg. Use the unsteady finite difference equation to determine the transient response of the temperature of the plate. 1 2 3 x L(thickness)=0.02 m, k=10 W/m.K, α=10×10-6 m2 /s, h=1000 W/m2 .K, Ti=100°C, T∞=0°C, ∆x=0.01 m Bi=(h∆x)/k=1, Fo=(α∆t)/(∆x)2 =0.1 There are three nodal points: 1 interior and two exterior points: For node 2, it satisfies the case 1 configuration in table. 1 2 1 3 2 2 2 1 3 2 1 3 2 ( ) (1 4 ) ( ) (1 2 ) 0.1( ) 0.8 1 Stability criterion: 1-2Fo 0 or Fo=0.1 ,it is satisfied 2 P P P P P P P P P P P P T Fo T T T T Fo T Fo T T Fo T T T T + = + + + + − = + + − = + + ≥ ≤ 12
  • 13. 1 1 2 1 1 1 2 1 2 1 1 3 2 3 For nodes 1 & 3, they are consistent with the case 3 in table. Node 1: (2 2 ) (1 4 2 ) (2 2 ) (1 2 2 ) 0.2 0.6 Node 3: 0.2 0.6 Stability cr P P P P P P P P P P P P T Fo T T T BiT Fo BiFo T Fo T BiT Fo BiFo T T T T T T + ∞ ∞ + = + + + + − − = + + − − = + = + 1 1 2 1 1 2 1 3 2 1 3 2 3 1 iterion: (1-2Fo-2BiFo) 0, (1 ) 0.2 and it is satisfied 2 System of equations 0.2 0.6 0.1( ) 0.8 0.2 0.6 P P P P P P P P P P Fo Bi T T T T T T T T T T + + + ≥ ≥ + = = + = + + = + Use initial condition, T = T = T = 100,1 0 2 0 3 0 T T T T T T T T T T 1 1 2 0 1 0 2 1 1 0 3 0 2 0 3 1 2 0 3 0 0 2 0 6 80 01 0 8 100 0 2 0 6 80 = + = = + + = = + = . . . ( ) . . . Marching in time, T = T = 80, T = 100 , and so on 1 1 3 1 2 1 T T T T T T T T T T 1 2 2 1 1 1 2 2 1 1 3 1 2 1 3 2 2 1 3 1 0 2 0 6 0 2 100 0 6 68 01 0 8 01 80 0 8 100 96 0 2 0 6 0 2 100 0 6 68 = + = + = = + + = + + = = + = + = . . . ( ) . (80) . ( ) . . (80 ) . ( ) . . . ( ) . (80) Example 13
  • 14. References: 1. John C, Dale Anderson, Richard Pletcher. Computational Fluid Mechanics and Heat Transfer. Second Edition. USA : Taylors&Francis, 1997. 2. Davis, Mark E.. Numerical methods and modeling for chemical. New York : John Wiley & Sons, 2001 3. Introduction to Heat Transfer by S.K SOM Page 177-192 4. http://nptel.ac.in/ 5. https://en.wikipedia.org 14