Topology Optimization of Flow Channels with Heat Transfer Using a Genetic Algorithm Assisted by the Kriging Model

Mitsuo Yoshimura, Takashi Misaka, Koji Shimoyama, Shigeru Obayashi

研究成果: Chapter

1 被引用数 (Scopus)

抄録

A global optimization method for topology optimization using a genetic algorithm is proposed in this paper. The genetic algorithm used in this paper is assisted by the Kriging surrogate model to reduce computational cost required for function evaluation. To validate the global topology optimization method in flow problems, this research works on two single-objective optimization problems, where the objective functions are to minimize pressure loss and to maximize heat transfer of flow channels, and the multi-objective optimization problem, which combines these two problems. The shape of flow channels is represented by the level set function, and the pressure loss and the temperature of the channels are evaluated by the Building-Cube Method (BCM), which is a Cartesian-mesh CFD approach. The proposed method resulted in an agreement with previous study in the single-objective problems in its topology, and achieved global exploration of non-dominated solutions in the multi-objective problem.

本文言語English
ホスト出版物のタイトルComputational Methods in Applied Sciences
出版社Springer Netherland
ページ537-552
ページ数16
DOI
出版ステータスPublished - 2019 1 1

出版物シリーズ

名前Computational Methods in Applied Sciences
48
ISSN(印刷版)1871-3033

ASJC Scopus subject areas

  • 土木構造工学
  • モデリングとシミュレーション
  • 生体医工学
  • コンピュータ サイエンスの応用
  • 流体および伝熱
  • 計算数学
  • 電子工学および電気工学

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