Structural Optimization Method for Thermal Diodicity Material

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K14870
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 18030:Design engineering-related
• Research Institution: Kyoto University
• Principal Investigator: Furuta Kozo 京都大学, 工学研究科, 特定助教 (20833031)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 構造最適化 / ボルツマン輸送方程式 / 熱伝導 / 微視構造

Outline of Final Research Achievements

We have constructed the optimum design methods for a nanoscale heat conduction problem. First, the minimization problem of the thermal conductivity was formulated, and its design sensitivity was derived. We successfully obtained an optimized configuration based on the formulations. This is one of the first works that focused on the optimum design method for the nanoscale heat conduction problem. Moreover, these optimized results supposed that the developed material has possibility for improved its performance. Then, we formulated a multi-objective optimization problem for designing the thermal-diode material and derived the design sensitivity. Finally, we have calculated the optimization problem and tried to verify the proposed method.

Free Research Field

設計工学

Academic Significance and Societal Importance of the Research Achievements

本研究成果の社会的意義の一つに，これまで構築されてきた最適設計法の考え方を異なる分野である材料開発の分野に適用したことが挙げられる．従来，材料開発は試行錯誤的であることが多かった．その中でマテリアルズインフォマティクスと呼ばれる，いわゆる機械学習の考え方を取り入れた材料開発・設計手法が近年急速に広まってきた．この手法は有用である一方で大量のコンピュータリソースやこれまでの知見が必要となることが課題である．その中で本申請課題は，機械力学の分野で発展してきた構造最適設計法の考え方を用いることで，数理的，物理的根拠に基づき，低い計算コストによる最適構造創出方法を構築した．