遺伝的アルゴリズムを用いた熱シミュレーションモデルの高精度化

概要

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In this paper, we propose a technique that uses thermal measurement results for improved accuracy in thermal simulation of electronic apparatuses. Because the modeling of the electronic components in such apparatuses has hitherto been very poor, the thermal simulation results cannot satisfy the required accuracy. To solve this problem, we first represent a component as a set of cubic blocks with equivalent thermal conductivities and contact thermal resistances, and then identify these by using the thermal measurement results for the component. We regard the identification of parameters as an optimization problem that involves minimizing the difference between the calculated and measured results.n To solve the problem, we combine genetic algorithms and a thermal simulation tool. Our technique was successfully applied to the construction of an accurate thermal model, which we validated by using thermal measurement results.
社団法人日本機械学会の論文
1999-04-25