The influence of defects on the elastic response of lattice structures resulting from additive manufacturing
The influence of defects on the elastic response of lattice structures resulting from additive manufacturing
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DOI：
10.1016/j.commatsci.2021.110716
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发表时间：
2021-07-26
影响因子：
3.3
通讯作者：
Basu, Saurabh
中科院分区：
文献类型：
--
作者：
Jiang, Panwei;De Meter, Edward C.;Basu, Saurabh
增材制造（AM）网格的刚度预测是轻量化部件设计的必要条件。对于给定的晶格结构，Gibson和Ashby （GA）模型可以预测相对刚度作为其相对密度的函数。然而，AM晶格中常见的体积孔隙率和表面粗糙度缺陷降低了GA模型的预测质量。这是因为这些缺陷使晶格结构的弹性行为复杂化。在这项工作中，提出了一个改进的遗传算法模型来解释这些缺陷。构建了贝叶斯推理框架来描述这些缺陷的空间分布对产生的力学响应的影响。主成分分析（PCA）用于识别由完美晶格和缺陷晶格引起的弹性应变场（SMALL ELEMENT OF11， SMALL ELEMENT OF22和SMALL ELEMENT OF12）之间的差异。所获得的见解可以提供一种可行的方法来预测通常有缺陷的接收AM晶格的机械响应，从而为其设计提供系统的方法。
Stiffness prediction for additively manufactured (AM) lattices is necessary for lightweight components design. For a given lattice structure, the Gibson and Ashby (GA) model can predict relative stiffness as a function of its relative density. However, volumetric porosity and surface roughness defects that are commonplace in AM lattices depreciate the quality of prediction made by the GA model. This is because such defects complicate the elastic behavior of lattice structures. In this work, a modified GA model is proposed that accounts for these defects. A Bayesian inferencing framework is constructed to delineate the influence of spatial distributions of these defects on resulting mechanical response. Principal component analysis (PCA) is used to identify differences between elastic strain fields (SMALL ELEMENT OF11, SMALL ELEMENT OF22, and SMALL ELEMENT OF12) resulting from perfect and defective lattices. The insights obtained can provide a viable approach to predict the mechanical response of as-received AM lattices that are often defective, and thereby enable systematic approaches for their design.