A Transient Inverse Problem in Simultaneous Estimation of TDTP Based on MEGA

Message:
Abstract:
A two-dimensional inverse heat conduction problem is solved successfully by modified elitist genetic algorithm (MEGA) to simultaneously estimate temperature dependent thermal conductivity and heat capacity. In this paper, simulated (noisy and filtered) temperatures are used instead of experimental data. The estimated temperatures are obtained from the direct numerical solution of the two-dimensional conductive model by using an estimate for the unknown temperature dependent thermo-physical properties (TDTPs) and MEGA is used to minimize a least squares objective function containing estimated and simulated (noisy and filtered) temperatures. The accuracy of the MEGA is assessed by comparing the estimated and the preselected TDTPs.
Language:
English
Published:
Journal of Numerical Simulation in Engineering, Volume:2 Issue: 1, Winter 2010
Page:
27
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