Articles | Volume 15, issue 2
https://doi.org/10.5194/ms-15-555-2024
https://doi.org/10.5194/ms-15-555-2024
Research article
 | 
10 Oct 2024
Research article |  | 10 Oct 2024

Thermomechanical coupled topology optimization of parameterized lattice structures

Hongyi Zhang, Yang Wang, Shuyou Zhang, Xiaojian Liu, and Xuewei Zhang

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Cited articles

Andreassen, E. and Andreasen, C. S.: How to determine composite material properties using numerical homogenization, Comp. Mater. Sci., 83, 488–495, 2014. a
Banhart, J. and Seeliger, H.-W.: Aluminium foam sandwich panels: manufacture, metallurgy and applications, Adv. Eng. Mater., 10, 793–802, 2008. a
Bensoussan, A., Lions, J.-L., and Papanicolaou, G.: Asymptotic analysis for periodic structures, Vol. 374, American Mathematical Soc., ISBN 978-0821853245, 1–392, 2011. a
Deng, C., Wang, Y., Qin, C., Fu, Y., and Lu, W.: Self-directed online machine learning for topology optimization, Nat. Commun., 13, 1–14, 2022. a
Deng, J., Yan, J., and Cheng, G.: Multi-objective concurrent topology optimization of thermoelastic structures composed of homogeneous porous material, Struct. Multidiscip. O., 47, 583–597, 2013. a
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Short summary
This paper presents an optimization approach to improving the performance of lattice structures subjected to thermal and mechanical loads. The proposed method is demonstrated through examples of battery packs, L-brackets, and machine tool headstocks. The results of numerical verification show that the proposed method enhances the performance of designed structures greatly compared with traditional solid-design and temperature constraints.