A Maximum Entropy Solution for a Two-Dimensional Inverse Heat Conduction Problem

Author:

Kim Sun Kyoung1,Lee Woo Il1

Affiliation:

1. Department of Mechanical Engineering, Seoul National University, Seoul 151-742, Korea

Abstract

A solution scheme based on the maximum entropy method (MEM) for the solution of two-dimensional inverse heat conduction problems is established. MEM finds the solution which maximizes the entropy functional under the given temperature measurements. The proposed method converts the inverse problem to a nonlinear constrained optimization problem. The constraint of the optimization problem is the statistical consistency between the measured temperature and the estimated temperature. Successive quadratic programming (SQP) facilitates the numerical estimation of the maximum entropy solution. The characteristic feature of the proposed method is investigated with the sample numerical results. The presented results show considerable enhancement in resolution for stringent cases in comparison with a conventional method.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review of Computational Schemes in Inverse Heat Conduction Problems;Smart Science;2017-12-07

2. Simultaneous reconstruction of the time-dependent Robin coefficient and heat flux in heat conduction problems;Inverse Problems in Science and Engineering;2017-10-19

3. An inversion approach for the inverse heat conduction problems;International Journal of Heat and Mass Transfer;2012-07

4. Heat transfer—A review of 2003 literature;International Journal of Heat and Mass Transfer;2006-02

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