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EnglishThermosetting matrix composite materials are often subject to a curing process to enhance the mechanical properties of the final product.In recent years computational models of the curing process allowed for a remarkable time and cost compression with respect to trial and error procedures. Most of the proposed models, however, rely on deterministic hypothesis. In this paper a multi-scale non deterministic approach to cure process simulation has been proposed, evidencing the effect of stochastic perturbations of fibers distribution on simulative results on macro-scale.
| Titolo: | A multi-scale non-deterministic approach to composite curing process simulation |
| Autori: | |
| Data di pubblicazione: | 2013 |
| Abstract: | Thermosetting matrix composite materials are often subject to a curing process to enhance the mechanical properties of the final product.In recent years computational models of the curing process allowed for a remarkable time and cost compression with respect to trial and error procedures. Most of the proposed models, however, rely on deterministic hypothesis. In this paper a multi-scale non deterministic approach to cure process simulation has been proposed, evidencing the effect of stochastic perturbations of fibers distribution on simulative results on macro-scale. |
| Handle: | http://hdl.handle.net/11386/4027259 |
| ISBN: | 9783037857632 |
| Appare nelle tipologie: | 4.1.2 Proceedings con ISBN |
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