优化选择性激光熔融法制造蜂窝结构的数值均质化方法

Kevin Moj , Grzegorz Robak , Robert Owsiński
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引用次数: 0

摘要

快速成型技术的快速发展带来了巨大的机遇。因此,三维打印领域已成为生产蜂窝结构的理想技术。本文探讨了与确定最小单元数量有关的问题。目前,还无法明确说明需要多少个单细胞。因此,本文提出了一种可以确定最小单元数的算法。结构参数,如单细胞的相对密度和拓扑结构,都有重要影响。值得注意的是,基体材料也起着重要作用。细胞结构的数值分析有多种方法,如基于有限元的分析、数值均质化和基于梁的分析。然而,这些方法各有利弊。本文建议优化蜂窝结构的数值均质化,使用由最少单元格组成的模型和蜂窝结构实际打印模型的三维表示。在这些优化的基础上,获得了与实验更好的一致性。
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Optimization of the numerical homogenization method for cellular structures manufactured by Selective Laser Melting

Rapid development of additive technologies presents enormous opportunities. associated with the production of complex geometries. For this reason. the field of 3D printing has become an ideal technique for producing cellular structures. The paper addresses the issue. related to the determination of the minimum number of unit cells. at which the structure is characterized by a constant effective Young's modulus. Currently. it is not possible to state unequivocally what number of individual cells is needed. For this reason. the paper proposes an algorithm by which the minimum number of unit cells can be determined. The parameters of the structure. such as the relative density and the topology of a single cell. have an important influence. It is worth noting that the base material also plays an important role. Various methods are used for numerical analysis of cellular structures. such as finite element-based analysis. numerical homogenization and beam-based analysis. Nevertheless. each of them has its own advantages as well as disadvantages. This paper proposes to optimize the numerical homogenization of cellular structures. using models consisting of a minimum number of unit cells and a 3D representation of actual printed models of cellular structures. Based on these optimizations. better agreement with experiment was obtained.

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