4.7 Article

Bi-objective topology optimization for direct current concentration and heat flux cloaking using adaptive weighting method

Journal

Publisher

SPRINGER
DOI: 10.1007/s00158-022-03404-9

Keywords

Direct current concentration; Heat flux cloaking; Topology optimization; Bi-objective optimization; Adaptive weighting; Pareto front; Reaction-diffusion equation

Funding

  1. Korea institute of Energy Technology Evaluation and Planning (KETEP) - Ministry of Trade, Industry and Energy, Republic of Korea [20204030200010]
  2. National Research Foundation of Korea (NRF) - Korea government [NRF-2019R1A2B5B01069788]

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This study proposes a topology optimization method for cloaking direct current concentration and heat flux. Two objective functions are constructed to define each physical performance, and utility functions are established using a weighted norm approach. An adaptive weighting method is proposed to appropriately reflect preferences between conflicting objective functions. The effectiveness of the method is verified through numerical examples.
This study presents a topology optimization method for direct current concentration and heat flux cloaking. For bi- functionality regarding different physical flow manipulations, two objective functions are constructed to define each physical performance, and utility functions are established using a weighted norm approach for simultaneous performance improvement. An initial and utopia points-based adaptive weighting method is proposed to appropriately reflect preferences between conflicting objective functions. Using different preferences, a Pareto-optimal solution set evenly distributed in the objective space is explored. The optimization process is based on the phase field approach which introduces the reaction-diffusion equation combined with the double well potentials as an update scheme. The effectiveness of the proposed method is verified through two numerical examples.

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