Multi-physics optimization of three-dimensional microvascular polymeric components

Alejandro M. Aragón, Rajat Saksena, Brian D. Kozola, Philippe H. Geubelle, Kenneth T. Christensen, Scott R. White

Research output: Contribution to journalArticlepeer-review


This work discusses the computational design of microvascular polymeric materials, which aim at mimicking the behavior found in some living organisms that contain a vascular system. The optimization of the topology of the embedded three-dimensional microvascular network is carried out by coupling a multi-objective constrained genetic algorithm with a finite-element based physics solver, the latter validated through experiments. The optimization is carried out on multiple conflicting objective functions, namely the void volume fraction left by the network, the energy required to drive the fluid through the network and the maximum temperature when the material is subjected to thermal loads. The methodology presented in this work results in a viable alternative for the multi-physics optimization of these materials for active-cooling applications.

Original languageEnglish (US)
Pages (from-to)132-147
Number of pages16
JournalJournal of Computational Physics
Issue number1
StatePublished - Jan 1 2013


  • Active cooling
  • Microvascular materials
  • Multi-objective genetic algorithms
  • Multi-physics optimization
  • Thermal management optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Physics and Astronomy (miscellaneous)

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