What are the limitations of the Explicit Finite Difference Model?

Click For Summary
SUMMARY

The Explicit Finite Difference Model (EFD) has notable limitations when applied to 2D heat diffusion calculations in materials like aluminum. Key issues include stability concerns, as the model requires a strict time step size to ensure convergence, which can lead to excessive computational resource demands. Additionally, the EFD method struggles with handling complex boundary conditions effectively compared to alternative methods such as the Finite Element Method (FEM). Users must also be cautious when applying acceleration factors, as they can destabilize the solution.

PREREQUISITES
  • Understanding of the Explicit Finite Difference method
  • Knowledge of heat diffusion principles
  • Familiarity with stability criteria in numerical methods
  • Basic concepts of boundary conditions in differential equations
NEXT STEPS
  • Research the stability criteria for the Explicit Finite Difference method
  • Learn about the Finite Element Method and its advantages over EFD
  • Investigate techniques for improving convergence rates in numerical models
  • Explore boundary condition handling in various numerical methods
USEFUL FOR

Students and professionals in computational physics, engineers working on thermal analysis, and researchers interested in numerical modeling techniques will benefit from this discussion.

t0mm02
Messages
49
Reaction score
0
Homework Statement:: Discuss the limitation of the Explicit Finite Difference Model.
Relevant Equations:: no formula

Hello there, I have to discuss the limitations of using the Explicit Finite Difference model to calculate a 2D Heat Diffusion through an aluminium place, however, I really don't understand what exactly it is asking me fore but I am guessing it has something to do with the stability criterion and I wanted seconds opinions.

[Moderator's note: moved from a homework forum.]
 
Last edited by a moderator:
Physics news on Phys.org
Ask yourself:

What do you think can go wrong if you use it? Will always go right?

Will it always converge to a solution? Why? Or why not?

How quickly does it converge towards a solution?

How much computing resource does it use?

If you speed it up using an accelerating factor what may happen (IIRC you add, say, 1.2x the average of the adjacent points instead of just the average, where 1.2 is the accelerating factor)?

How does it handle boundary conditions?

Against which other methods are you comparing its limitations? - eg the finite element method?

What advantage do other methods have over the Explicit Finite Difference method - the EFD method has these as limitations.

Did you read the paper I pointed you to in your post Matlab report help please (Finite Difference Method)?

A web search will find answers to all these questions. A search in this forum will also find much useful information.
 
Last edited:

Similar threads

Replies
1
Views
2K
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
3
Views
6K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 10 ·
Replies
10
Views
2K