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  • 标题:Optimal design of microvascular networks based on non-dominated sorting genetic algorithm II and fluid simulation
  • 本地全文:下载
  • 作者:Peng Li ; Yuan Liu ; Tian Zou
  • 期刊名称:Advances in Mechanical Engineering
  • 印刷版ISSN:1687-8140
  • 电子版ISSN:1687-8140
  • 出版年度:2017
  • 卷号:9
  • 期号:7
  • DOI:10.1177/1687814017708175
  • 语种:English
  • 出版社:Sage Publications Ltd.
  • 摘要:The non-dominated sorting genetic algorithm II is used to design the microvascular networks embedded in self-healing polymeric materials. And the fluid simulation software Fluent is used to validate the optimization result obtained by non-dominated sorting genetic algorithm II. Two objective functions are considered, namely, the void volume fraction and flow efficiency. A total of 222 solutions are obtained, and the head loss is in the range of (3.88 × 10−7 m, 2.36 × 10−6 m), whereas the void volume fraction is in the range of (4.39%, 5.12%). The simulation velocities are close to optimization velocities. The average error rate of selected solutions (a), (b), and (c) is 22.6%, 26.4%, and 35.2%, respectively.
  • 关键词:Self-healing; microvascular network; optimization; non-dominated sorting genetic algorithm II; fluid simulation
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