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Optimizing the pinch-off problem for gradient triply periodic minimal surface cellular structures manufactured by selective laser melting
Rapid Prototyping Journal ( IF 3.4 ) Pub Date : 2020-10-07 , DOI: 10.1108/rpj-11-2019-0298
Mingkang Zhang , Yongqiang Yang , Wentao Qin , Shibiao Wu , Jie Chen , Changhui Song

This study aims to focus on the optimized design and mechanical properties of gradient triply periodic minimal surface cellular structures manufactured by selective laser melting.,Uniform and gradient IWP and primitive cellular structures have been designed by the optimized function in MATLAB, and selective laser melting technology was applied to manufacture these cellular structures. Finite element analysis was applied to optimize the pinch-off problem, and compressive tests were carried out for the evaluation of mechanical properties of gradient cellular structures.,Finite element analysis shows that the elastic modulus of IWP increased as design parameter b increased, and then decreased when parameter b is higher than 5.5. The highest elastic modulus of primitive increased by 89.2% when parameter b is 6. The compressive behavior of gradient IWP and primitive shows a layer-by-layer way, and elastic modulus and first maximum compressive strength of gradient primitive are higher than that of gradient IWP. The effective energy absorption of gradient cellular structures increased as the average porosity decreased, and the effective energy absorption of gradient primitive is about twice than that of gradient IWP.,This paper presents an optimized design method for the pinch-off problem of gradient triply periodic minimal surface cellular structures.

中文翻译:

优化选择性激光熔化制造的梯度三重周期性最小表面蜂窝结构的夹断问题

本研究的重点是对选择性激光熔化制造的梯度三重周期最小表面蜂窝结构的优化设计和力学性能。通过MATLAB中的优化函数和选择性激光熔化技术设计了均匀和梯度IWP和原始蜂窝结构。被应用于制造这些蜂窝结构。应用有限元分析优化夹断问题,并进行了压缩试验评估梯度蜂窝结构的力学性能。有限元分析表明,IWP的弹性模量随着设计参数b的增加而增加,然后当参数 b 高于 5.5 时减小。当参数 b 为 6 时,原始的最高弹性模量增加了 89.2%。梯度IWP和基元的压缩行为呈逐层方式,梯度基元的弹性模量和第一最大抗压强度高于梯度IWP。梯度胞结构的有效能量吸收随着平均孔隙度的降低而增加,梯度基元的有效能量吸收约为梯度 IWP 的两倍。,本文提出了梯度三周期夹断问题的优化设计方法最小的表面细胞结构。
更新日期:2020-10-07
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