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Voronoi diagram and Monte-Carlo simulation based finite element optimization for cost-effective 3D printing
Journal of Computational Science ( IF 3.1 ) Pub Date : 2021-01-13 , DOI: 10.1016/j.jocs.2021.101301
A.Z. Zheng , S.J. Bian , E. Chaudhry , J. Chang , H. Haron , L.H. You , J.J. Zhang

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.



中文翻译:

基于Voronoi图和Monte-Carlo仿真的有限元优化技术,可实现经济高效的3D打印

通过扩展在ICCS 2020 [1]上发表的工作,在本文中,我们提出了一种方法来实现具有成本效益的加硬薄壳物体的3D打印。我们提出的方法包括三个部分。第一部分集成了有限元分析,Voronoi图和保形贴图以获得加强筋分布。第二部分将有限元分析与优化计算相结合,以确定加劲肋的最佳尺寸。第三部分介绍了蒙特卡洛仿真,以找到全局最优值。本文进行的实验表明,我们提出的方法可以有效地减少3D打印材料对坚硬薄壳物体的消耗。

更新日期:2021-01-13
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