Modified Genetic Algorithm for Identifying Material Thermal Properties and Strength of Heat Source

CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2015, Vol. 32 ›› Issue (5): 623-630.

Modified Genetic Algorithm for Identifying Material Thermal Properties and Strength of Heat Source

School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2014-09-25 Revised:2014-12-18 Online:2015-09-25 Published:2015-09-25

Abstract

Abstract: A mathematical model for two-dimensional nonlinear inverse heat conduction problem (IHCP) is established. Three kinds of genetic algorithm at different modified phase are proposed for identifying material thermal conductivity and strength of heat source. Convergence speed and calculation precision of genetic algorithms at different modified phase are compared. Calculation results show that the genetic algorithm modified strategy proposed achieve higher convergence speed and calculation precision.

Key words: genetic algorithm, IHCP, thermal conductivity, strength of heat source

CLC Number:

TL329

YAN Fan, LU Mei. Modified Genetic Algorithm for Identifying Material Thermal Properties and Strength of Heat Source[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2015, 32(5): 623-630.

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Modified Genetic Algorithm for Identifying Material Thermal Properties and Strength of Heat Source

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