This paper addresses limitations in traditional feature-driven methods for designing heat dissipation structures, notably limited deformability and sensitivity to initial layouts. We introduce an adaptive feature-driven approach that employs needle-like layouts for efficient heat transfer, utilizes B-spline functions to construct bendable features with high deformation capabilities, and possesses a natural advantage in precise control over the minimum length scale. The numerical examples demonstrate that the proposed method precisely controls the feature minimum scales and produces designs with smooth boundaries and excellent performance, which can be achieved with relatively few design variables.

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Topology Optimization of Heat Dissipation Structures with Length Scale Control Based on the Adaptive Feature-Driven Method

  • Qianqian Zhang,
  • Shouyu Cai,
  • Ke Wang,
  • Yuxin Sun

摘要

This paper addresses limitations in traditional feature-driven methods for designing heat dissipation structures, notably limited deformability and sensitivity to initial layouts. We introduce an adaptive feature-driven approach that employs needle-like layouts for efficient heat transfer, utilizes B-spline functions to construct bendable features with high deformation capabilities, and possesses a natural advantage in precise control over the minimum length scale. The numerical examples demonstrate that the proposed method precisely controls the feature minimum scales and produces designs with smooth boundaries and excellent performance, which can be achieved with relatively few design variables.