Document Type
Article
Publication Date
2024
DOI
10.22105/cand.2024.443017.1090
Publication Title
Computational Algorithms and Numerical Dimensions
Volume
3
Issue
1
Pages
1-16
Abstract
Accurate numerical solution of parabolic and elliptic partial differential equations governing two-dimensional heat transfer is critical for engineering simulations but computationally challenging. This work employs key numerical techniques finite differences, conjugate gradients, and Crank-Nicolson time stepping to solve the heat diffusion equation and analyze method performance. The Poisson equation is discretized using second-order central finite differences and solved with the conjugate gradient approach to determine the steady state solution. The transient heat equation is integrated in time via the Crank-Nicolson implicit scheme, also utilizing conjugate gradients. The methods effectively compute solutions matching analytical and boundary conditions. Convergence and stability are achieved while capturing transient thermal evolution. Insights are gained into discretization and iteration parameter impacts. The numerical framework demonstrates accurate and efficient simulation of two-dimensional conductive heat transfer. It provides a template for extension to more complex geometries and multiphysics phenomena, contributing to advances in computational engineering.
Rights
© 2024 The Authors.
This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Original Publication Citation
Abid, M., Bibi, M., Yasin, N., & Shahid, M. (2024). A novel computational analysis of boundary-driven two-dimensional heat flow with internal heat generation. Computational Algorithms and Numerical Dimensions, 3(1), 1-16. https://doi.org/10.22105/cand.2024.443017.1090
ORCID
0009-0004-4585-8841 (Yasin)
Repository Citation
Abid, Muhammad; Bibi, Madiha; Yasin, Nasir; and Shahid, Muhammad, "A Novel Computational Analysis of Boundary-Driven Two-Dimensional Heat Flow With Internal Heat Generation" (2024). Mathematics & Statistics Faculty Publications. 305.
https://digitalcommons.odu.edu/mathstat_fac_pubs/305
Included in
Applied Mathematics Commons, Electrical and Computer Engineering Commons, Heat Transfer, Combustion Commons