  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.
