Abstract
The paper presents a formulation for simultaneous optimization of part and support in additive manufacturing. A pseudo heat conduction problem is solved to simulate heat transfer between the part and support. In the pseudo problem, a surface slope-dependent heat flux is applied on the part/support interfaces. The input heat is then transferred through the part and support to the build plate, which is treated as the heat sink. Since the density-based topology optimization does not involve explicit surface representation, the heat flux is implicitly imposed through a domain integration of a Heaviside projected density gradient. The proposed formulation has the inherent ability to control surface slope, which allows us to obtain self-supported enclosed voids and put removable external supports only on the open surfaces. Self-supporting supports can also be obtained by controlling the anisotropic thermal conductivity of the supports. Three different objective functions related to heat dissipation efficiency of the support are investigated. Both 2D and 3D numerical examples are presented to demonstrate the validity and efficiency of the proposed approach.
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The work was supported by National Natural Science Foundation of China (No. 12102375) and Independent Innovation Foundation of AECC (No. ZZCX-2018-017).
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Wang, C., Qian, X. Simultaneous optimization of part and support for heat dissipation in additive manufacturing. Struct Multidisc Optim 66, 3 (2023). https://doi.org/10.1007/s00158-022-03466-9
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DOI: https://doi.org/10.1007/s00158-022-03466-9