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Mesoscopic Modelling and Optimization of Additive-Manufactured Microlattice Materials for Energy Absorption

Lijun Xiao1,*, Weidong Song1

1 State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

* Corresponding Author: Lijun Xiao. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 30(1), 1-1. https://doi.org/10.32604/icces.2024.010981

Abstract

Additively-manufactured microlattice materials have attracted much attention due to their outstanding mechanical properties and energy absorption capacity. Considering the high cost of 3D printing, numerical simulation has become the most common approach for predicting and optimizing the mechanical performance of micro-lattice materials. The current study provides an efficient method to incorporate the printing process induced geometric defects in the lattice models. Numerical simulations are performed to precisely predict the mechanical response of the printed microlattice materials under quasi-static and dynamic loadings. Furthermore, the microlattice structures are graphically represented based on their mesoscopic structural characteristics. Accordingly, an end-to-end Structure to Sequence Neural Network (Strut2SeqNN) is introduced to model the nonlinear relationship between the spatial features of lattice-based metamaterials and their sequential features in mechanical response. The results can provide further guidance for the optimal design of microlattice materials with high performance.

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APA Style
Xiao, L., Song, W. (2024). Mesoscopic modelling and optimization of additive-manufactured microlattice materials for energy absorption. The International Conference on Computational & Experimental Engineering and Sciences, 30(1), 1-1. https://doi.org/10.32604/icces.2024.010981
Vancouver Style
Xiao L, Song W. Mesoscopic modelling and optimization of additive-manufactured microlattice materials for energy absorption. Int Conf Comput Exp Eng Sciences . 2024;30(1):1-1 https://doi.org/10.32604/icces.2024.010981
IEEE Style
L. Xiao and W. Song, “Mesoscopic Modelling and Optimization of Additive-Manufactured Microlattice Materials for Energy Absorption,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 30, no. 1, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.010981



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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