Optimal design of microvascular networks based on non-dominated sorting genetic algorithm II and fluid simulation

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Abstract

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.

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Li, P., Liu, Y., Zou, T., & Huang, J. (2017). Optimal design of microvascular networks based on non-dominated sorting genetic algorithm II and fluid simulation. Advances in Mechanical Engineering, 9(7). https://doi.org/10.1177/1687814017708175

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