Design of microvascular flow networks using multi-objective genetic algorithms

被引：47
|
作者：
Aragon, Alejandro M. [2 ]
Wayer, Jessica K. [3 ]
Geubelle, Philippe H. [1 ]
Goldberg, David E. [4 ]
White, Scott R. [1 ]
机构：
[1] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA
[2] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[3] Univ Illinois, Dept Aerosp Engn, Urbana, IL 61801 USA
[4] Univ Illinois, Illinois Genet Algorithms Lab, Urbana, IL 61801 USA
来源：
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2008年 / 197卷 / 49-50期
关键词：
Microvascular network; Genetic algorithms; Multi-objective optimization; Bio-mimetic material;
D O I：
10.1016/j.cma.2008.05.025
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A multi-objective genetic algorithm is used to design 2D and 3D microvascular networks embedded in bio-mimetic self-healing/self-cooling polymeric materials. Various objective functions and constraints are considered, ranging from flow efficiency and homogeneity to network redundancy and void volume fraction. The design variables include the network topology defined over a template and the microchannel diameters chosen among a finite set of values. The effect of network redundancy, template geometry and microchannel diameters on the Pareto-optimal fronts generated by the genetic algorithm is investigated. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：4399 / 4410
页数：12
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