The manufacturing process of Sheet Molding Compound (SMC) influences the properties of a component in a non-deterministic fashion. To predict this influence on the mechanical performance, we develop a virtual process chain acting as a digital twin for SMC specimens from compounding to failure. More specifically, we inform a structural simulation with individual fields for orientation and volume fraction computed from a direct bundle simulation of the manufacturing process. The structural simulation employs an interpolated direct deep material network to upscale a tailored SMC damage model. We evaluate hundreds of virtual specimens and conduct a probabilistic analysis of the mechanical performance. We estimate the contribution to uncertainty originating from the process-induced inherent random microstructure and from varying initial SMC stack configurations. Our predicted results are in good agreement with experimental tensile tests and thermogravimetric analysis.
翻译:石板熔化化合物(SMC)的制造过程以非决定性的方式影响一个部件的特性。为了预测对机械性能的这种影响,我们开发了一个虚拟过程链,作为SMC样本从复合到故障的数码双胞胎。更具体地说,我们向一个单个领域的结构模拟提供信息,以了解从制造过程的直接捆绑模拟中计算的方向和体积分数。结构模拟使用一个相互交织的直接深层材料网络,以提升一个定制的SMC损坏模型。我们评估了数百个虚拟样本,并对机械性能进行了概率分析。我们估计了由过程引起的内在随机微结构以及各种SMC原始堆积配置对不确定性的贡献。我们预测的结果与实验性抗拉试验和热重力分析十分一致。