期刊
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
卷 77, 期 -, 页码 293-300出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compositesa.2015.03.021
关键词
Computational modelling; Statistical properties/methods; Consolidation; Prepreg
资金
- German Foundation (DFG) Research [DR 204/5-1]
- Natural Science and Engineering Research Council of Canada within the framework of a G8-project
- TUM Graduate School at the Technische Universitat Munchen
Material variations are always present even though out-of-autoclave prepregs are machine-made. They strongly determine the consolidation and may eventually lead to voids within the final part, depending on applied process conditions. To capture any contingencies, stochastic differential equations are derived to describe various interacting phenomena in OoA consolidation. In a second step the probabilistic space is discretized using the Karhunen-Loeve truncation and the Probabilistic Collocation method is applied in order to use deterministic solvers for flow and compaction problems. The initial degree of impregnation is represented by an Ornstein Uhlenbeck process and calibrated with CT-images. (C) 2015 Elsevier Ltd. All rights reserved.
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