Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components
Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components
复制标题
DOI：
10.1016/j.compstruct.2018.02.041
复制
发表时间：
2018-05-15
影响因子：
6.3
通讯作者：
Wolf, Klaus
中科院分区：
文献类型：
--
作者：
Kaerger, Luise;Galkin, Siegfried;Wolf, Klaus
虚拟工艺链（CAE链）的开发越来越多，以降低高性能连续纤维增强塑料（CoFRP）的总体开发成本。目前的一个缺点是需要集成优化方法，其中包括多个基于物理的仿真步骤，以有效的方式。本文提出了一种新的双循环CoFRP优化工作流程，包括过程和结构模拟。遗传成形优化方法的特点是内部优化循环，查看工艺条件。由此产生的纤维取向和纤维体积分数被转移到结构模拟模型。随后，结构性能进行评估下考虑的形成策略，概述了外部优化循环。整个优化工作流程通过汽车参考结构进行演示。其复杂的几何形状使得在不引起制造缺陷的情况下形成织物具有挑战性。优化工作流程的结果表明，工艺结果和结构性能都可以大大提高，如果过程优化集成在复合材料设计过程中。
Virtual process chains (CAE chains) are being increasingly developed to reduce the overall development costs of high-performance continuous fibre reinforced plastics (CoFRP). A current drawback is the need for integrated optimisation methods, which include multiple physical-based simulation steps in an efficient way. The present paper proposes a new two-loop CoFRP optimisation workflow comprising both process and structural simulation. A genetic forming optimisation method features the inner optimisation loop, looking at the process conditions. The resulting fibre orientations and fibre volume fractions are transferred to the structural simulation model. Subsequently, the structural performance is evaluated under consideration of the forming strategy, outlining the outer optimisation loop. The overall optimisation workflow is demonstrated by an automotive reference structure. Its complex geometry makes it challenging to form the textile without inducing manufacturing defects. The results of the optimization workflow show that both process results and structural capability can be considerably improved, if process optimisation is integrated in the composite design process.