Multi-physics design of microvascular materials for active cooling applications

被引：22

作者：

Aragon, Alejandro M. ^{[2
,3
]}

Smith, Kyle J. ^{[1
]}

Geubelle, Philippe H. ^{[1
,3
]}

White, Scott R. ^{[1
,3
]}

机构：

[1] Univ Illinois, Dept Aerosp Engn, Urbana, IL 61801 USA

[2] Univ Illinois, Civil & Environm Engn Dept, Urbana, IL 61801 USA

[3] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA

来源：

JOURNAL OF COMPUTATIONAL PHYSICS | 2011年 / 230卷 / 13期

关键词：

Microvascular materials; Active cooling; Multi-physics optimization; Multi-Objective Genetic Algorithms; EVOLUTIONARY ALGORITHMS; TOPOLOGY OPTIMIZATION; HEAT; NETWORKS; FLOW;

D O I：

10.1016/j.jcp.2011.03.012

中图分类号：

TP39 [计算机的应用];

学科分类号：

080201 [机械制造及其自动化];

摘要：

This paper describes a framework for the design of microvascular polymeric components for active cooling applications. The design of the embedded networks involves complex and competing objectives that are associated with various physical processes. The optimization tool includes a PDE solver based on advanced finite element techniques coupled to a multi-objective constrained genetic algorithm. The resulting Pareto-optimal fronts are investigated in the optimization of these materials for void volume fraction, flow efficiency, maximum temperature, and surface convection objective functions. (C) 2011 Elsevier Inc. All rights reserved.

引用

页码：5178 / 5198

页数：21

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