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Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components

机译:嵌入CAE链中的成形优化以评估和增强复合材料组件的结构性能

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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.
机译:为了减少高性能连续纤维增强塑料(CoFRP)的总体开发成本,越来越多地开发虚拟工艺链(CAE链)。当前的缺点是需要集成的优化方法,该方法包括有效的多个基于物理的仿真步骤。本文提出了一种新的两环CoFRP优化工作流程,包括过程和结构仿真。遗传形成优化方法以内部优化循环为特色,着眼于工艺条件。所得的纤维取向和纤维体积分数被转移到结构模拟模型中。随后,在考虑成形策略的情况下评估了结构性能,概述了外部优化循环。整个优化工作流程由汽车参考结构演示。其复杂的几何形状使其难以在不引起制造缺陷的情况下形成纺织品。优化工作流的结果表明,如果将过程优化集成到复合设计过程中,则可以显着提高过程结果和结构能力。

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