面向高导热轻量化结构的并行多尺度拓扑优化

Musaddiq Al Ali, M. Shimoda
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引用次数: 2

摘要

. 具有光热导电性的固体结构在各种工程应用中具有重要意义。研究了超轻导热多孔结构的多尺度拓扑优化问题,提出了一种数学优化模型公式,可同时优化宏观结构和本构孔(微观结构),使设计性能最大化。利用渐近均匀化方法作为代表性体积元,构造了微尺度。在优化过程中,评估微观结构的有效导热张量,并将其作为每次迭代的宏观结构导热系数。为了解决宏观和微观结构之间的联系,对这种并行优化方法进行了灵敏度分析。此外,还研究了引入初始预定设计域的方法来实现鳍状设计,从而达到高效散热的目的。结果表明,在获得高导热系数的同时,获得了非常好的减重效果。此外,预先确定设计域的方法显著提高了性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Concurrent Multiscale Topology Optimization for High Heat Conductive and Light Weight Structure
. Solid structures that are light and heat conductive are significant in a variety of engineering applications. We investigated multiscale topology optimization for excessive lightweight heat-conductive porous structures and introduced a mathematical optimization model formulation for concurrently optimizing the macrostructure and the constitutive pores (microstructure) to maximize the design performance. The microscale is constructed utilizing the asymptotic homogenization approach as a representative volume element. During the optimization process, the effective heat conductivity tensor of the microstructure is assessed and utilized as the heat conductivity of the macrostructure for each iteration. To address the macro and microstructure connection, a sensitivity analysis of this concurrent optimization approach was developed. Moreover, the method of introducing initial predetermined design domain was investigated to attain fin-like design in order to despite heat efficiently. Results showed very good results for attaining excessive weight reduction with attaining high heat conductivity. Moreover, the method of predetermined design domains increased the performance significantly.
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