Multiscale Topology Optimization of Lattice Thermal Dissipation Structures Based on Anisotropic Material Interpolation

doi:10.3901/JME.2024.13.071

Abstract

Abstract: Lattice structures are widely used in the fields of information electronics and aerospace due to their lightweight and fast heat dissipation characteristics. A multiscale topology optimization method of lattice thermal dissipation structures based on anisotropic material interpolation is proposed. At microscale, the cross-shaped lattice with connecting walls is designed to ensure the good connection of adjacent unit cells. Lattices with anisotropic thermal properties are obtained by the rotation of cross-shaped lattice. The design space is further expanded by changing the volume of the lattices. At macroscale, with the goal of minimizing thermal compliance and constraining the volume fraction of high thermal conductivity material, a topology optimization model of lattice thermal dissipation structures is constructed. Meanwhile, an anisotropic material interpolation function is established to quickly calculate the effective thermal properties of lattices. The simultaneous optimization of the distribution, geometric parameters and rotation angle of lattices is performed. With numerical examples, multiscale topology optimization of lattice thermal dissipation structures under different boundaries are achieved. Besides, three typical thermal performance objectives are further considered, including the minimization of average temperature, temperature difference and maximum temperature. With these objectives, multiscale topology optimization design is carried out. The results indicate that the lattice structures designed by proposed method have good thermal performance.

Key words: multiscale topology optimization, lattice thermal dissipation structure, anisotropic material interpolation, lattice rotation

CLC Number:

TG156

XIAO Mi, LI Qishi, GAO Liang, SHA Wei, HUANG Mingzhe. Multiscale Topology Optimization of Lattice Thermal Dissipation Structures Based on Anisotropic Material Interpolation[J]. Journal of Mechanical Engineering, 2024, 60(13): 71-80.

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