A numerical method for nonlinear inverse heat conduction problem

DOI

10.2991/icaise.2013.28How to use a DOI?

Keywords

Inverse heat conduction problems, ill-posed, regularization, nonlinear

Abstract

Inverse Heat Conduction Problems(IHCPs) have been extensively studied over the last 60 years. They have numerous applications in many branches of science and technology.The problem consists in determining the temperature and heat flux at inaccessible parts of the boundary of a 2- or 3-dimension al body from corresponding data–called ”Cauchy data” on accessible parts of the boundary. It is well-known that IHCPs are severely ill-posed which means that small perturbations in the data may cause extremely large errors in the solution. In this contribution, I present an analysis of numerical solution of nonlinear inverse heat conduction problem in a region with moving boundaries, a regularization method is used to construct an algorithm for smoothing the experimental data in a complication of the input data for the inverse problem.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ailin Qian
AU  - Guangfu Wang
PY  - 2013/08
DA  - 2013/08
TI  - A numerical method for nonlinear inverse heat conduction problem
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.28
DO  - 10.2991/icaise.2013.28
ID  - Qian2013/08
ER  -