Transactions of the Japan Society for Computational Methods in Engineering
Online ISSN : 2759-3932
Print ISSN : 1348-5245
OPTIMIZATION METHOD WITH GEOMETRIC CONSTRAINT FOR MOLDING USING FICTITIOUS ANISOTROPIC DIFFUSION EQUATION BASED ON COUPLED FICTITIOUS PHYSICAL MODEL
Mikihiro TAJIMATakayuki YAMADA
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JOURNAL OPEN ACCESS

2023 Volume 23 Pages 29-38

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Abstract
This paper focuses on manufacturing the optimal structure obtained by topology optimization using molding techniques, e.g., casting and injection molding. In molding processes, products cannot geometrically be demolded if undercuts and interior voids exist in the structure. Thus, topology optimization that leads to a structure satisfying the geometric constraint for molding is required. In this study, we detect regions that violate the constraint using a fictitious anisotropic diffusion equation. Additionally, based on the concept of a coupled fictitious physical model, which overcomes the convergence problem in the previous formulation method, we formulate the optimization problem. After deriving design sensitivity and an optimization algorithm, we verify the validity of the proposed method through a numerical example.
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© 2023 Japan Society for Computational Methods in Engineering

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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