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Bi‐stable cured shape of CFRP variant structures with asymmetric layup: Rapid prediction and inverse design

图像扭曲 有限元法 反向 材料科学 变形(气象学) 参数化复杂度 实验设计 结构工程 反问题 计算机科学 遗传算法 生物系统 算法 复合材料 数学 几何学 工程类 数学分析 人工智能 机器学习 统计 生物
作者
Lishuai Sun,Chuang Liu,Zhiyong Zhao,Junbiao Wang
出处
期刊:Polymer Composites [Wiley]
卷期号:45 (6): 5207-5226 被引量:4
标识
DOI:10.1002/pc.28121
摘要

Abstract This study aims to produce variant composite structures that can precisely maintain equilibrium after changing stable states. A rapid and precise prediction method for the cure‐induced bi‐stable warping was developed, and the inverse design for the required part's structural and material parameters was investigated. Firstly, the mechanism causing the warping was investigated. Then, in order to acquire basic data for a data‐driven model to achieve rapid and accurate warping prediction, a finite element analysis (FEA) was developed, with most of the prediction deviations being under 10%. Additionally, deformation forms of variant parts with various layups and shapes were studied to offer guidance for the different shape requirements. The structural and material parameters were analyzed using the response surface methodology and sensitivity analysis. After removing parameters like all rubbery properties with low influence, basic data from the parameterized FEA was utilized to build a precise proxy model. Finally, for the variant structures requiring reasonable shape forms, the inverse design of the material, layup, and sizes can be achieved using the proxy model and the non‐dominated sorting genetic algorithm II. All optimization results were validated using FEA or experiments. The deformation form in the two steady states of each case meets the specifications. The shape difference between the produced part and the required shape is less than 5 mm, and the design deviation for the maximum deformation is less than 10%. Consequently, the rapid prediction and inverse design methods for the bi‐stable shape of variant composite parts were effective and accurate. Highlights All the rubbery properties are almost uncorrelated to the bi‐stable warping. The proxy model can rapidly and precisely predict the bi‐stable shape. The inverse design can be achieved for a part requiring proper bi‐stable shapes. The design part can precisely maintain equilibrium with the required shapes.
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