A framework of multi-fidelity topology design and its application to optimum design of flow fields in battery systems

Kentaro Yaji*, Shintaro Yamasaki, Shohji Tsushima, Kikuo Fujita

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

We propose a novel framework based on multi-fidelity design optimization for indirectly solving computationally hard topology optimization problems. The primary concept of the proposed framework is to divide an original topology optimization problem into two subproblems, i.e., low- and high-fidelity design optimization problems. Hence, artificial design parameters, referred to as seeding parameters, are incorporated into the low-fidelity design optimization problem that is formulated on the basis of a pseudo-topology optimization problem. Meanwhile, the role of high-fidelity design optimization is to obtain a promising initial guess from a dataset comprising topology-optimized design candidates, and subsequently solve a surrogate optimization problem under a restricted design solution space. We apply the proposed framework to a topology optimization problem for the design of flow fields in battery systems, and confirm the efficacy through numerical investigations.

本文言語English
ホスト出版物のタイトル45th Design Automation Conference
出版社American Society of Mechanical Engineers (ASME)
ISBN(電子版)9780791859186
DOI
出版ステータスPublished - 2019
外部発表はい
イベントASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 - Anaheim, United States
継続期間: 2019 8月 182019 8月 21

出版物シリーズ

名前Proceedings of the ASME Design Engineering Technical Conference
2A-2019

Conference

ConferenceASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
国/地域United States
CityAnaheim
Period19/8/1819/8/21

ASJC Scopus subject areas

  • 機械工学
  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ サイエンスの応用
  • モデリングとシミュレーション

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