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<p>This paper proposes a swarm intelligence based structural topology optimization method on cooling channels. This method employs the swarm intelligence concept to simulate thermal conduction phenomena in solid domain and heat exchange phenomena between fluid and solid domain. Research indicates that for cooling structures with chain-type channels, this method achieves optimization of intervals between channels; for cooling structures exhibiting grid-based channels, this method allows for optimized distribution of flow in different channels. The method was implemented on NetLogo, and the feasibility and accuracy of the simulation model were verified by commercial numerical software. This study show a prominent cost-effectiveness and new approach for topology optimization of internal cooling channels.</p>

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Topology optimization of cooling channels based on swarm intelligence

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月29日

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  • Kun Wang,
  • Tao Wang,
  • Xianglin Li

摘要

This paper proposes a swarm intelligence based structural topology optimization method on cooling channels. This method employs the swarm intelligence concept to simulate thermal conduction phenomena in solid domain and heat exchange phenomena between fluid and solid domain. Research indicates that for cooling structures with chain-type channels, this method achieves optimization of intervals between channels; for cooling structures exhibiting grid-based channels, this method allows for optimized distribution of flow in different channels. The method was implemented on NetLogo, and the feasibility and accuracy of the simulation model were verified by commercial numerical software. This study show a prominent cost-effectiveness and new approach for topology optimization of internal cooling channels.