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Voronoi diagram and Monte-Carlo simulation based finite element optimization for cost-effective 3D printing.

Zheng, A.Z., Bian, S.J., Chaudhry, E., Chang, J., Haron, H., You, L. and Zhang, J. J., 2021. Voronoi diagram and Monte-Carlo simulation based finite element optimization for cost-effective 3D printing. Journal of Computational Science, 50 (March), 101301.

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DOI: 10.1016/j.jocs.2021.101301

Abstract

By extending the work published at ICCS 2020 [1], in this paper we propose a method to achieve cost-effective 3D printing of stiffened thin-shell objects. Our proposed method consists of three parts. The first part integrates finite element analysis, Voronoi diagram, and conformal mapping to obtain stiffener distribution. The second part combines finite element analysis with optimization calculations to determine the optimal sizes of stiffeners. And the third part introduces Monte-Carlo simulation to find a global optimum. The experiments made in this paper indicate that our proposed method is effective in minimizing 3D printing material consumption of stiffened thin-shell objects.

Item Type:Article
ISSN:1877-7503
Uncontrolled Keywords:Stiffened objects; 3D printing; Voronoi diagram; Finite element optimization; Monte-Carlo simulation
Group:Faculty of Media & Communication
ID Code:35397
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:19 Apr 2021 08:53
Last Modified:27 May 2021 07:54

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