A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds
نویسندگان
چکیده
The manufacturing process of Sheet Molding Compound (SMC) influences the properties a component in non-deterministic fashion. To predict this influence on mechanical performance, we develop virtual chain acting as digital twin for SMC specimens from compounding to failure. More specifically, inform structural simulation with individual fields orientation and volume fraction computed direct bundle process. employs an interpolated deep material network upscale tailored damage model. We evaluate hundreds conduct probabilistic analysis performance. estimate contribution uncertainty originating process-induced inherent random microstructure varying initial stack configurations. Our predicted results are good agreement experimental tensile tests thermogravimetric analysis.
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ژورنال
عنوان ژورنال: Composites Part B-engineering
سال: 2023
ISSN: ['1879-1069', '1359-8368']
DOI: https://doi.org/10.1016/j.compositesb.2022.110380