Meyer, NilsNilsMeyerGajek, SebastianSebastianGajekGörthofer, JohannesJohannesGörthoferHrymak, Andrew NickAndrew NickHrymakKärger, LuiseLuiseKärgerHenning, FrankFrankHenningSchneider, MattiMattiSchneiderBöhlke, ThomasThomasBöhlke2023-10-112024-01-312023-10-112023-01https://publica.fraunhofer.de/handle/publica/45159310.1016/j.compositesb.2022.1103802-s2.0-85141925949The 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.enC. Micro-mechanicsC. Numerical analysisC. Statistical propertiesE. Compression moldingVirtual process chainjournal article