期刊
ADVANCED MANUFACTURING-POLYMER & COMPOSITES SCIENCE
卷 5, 期 1, 页码 17-28出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/20550340.2019.1565648
关键词
Resin Infusion; multi-objective optimization; finite elements; composites manufacturing; thermosetting resin; process simulation; flow through porous media; viscosity
资金
- European Commission through the FP7 project INFUCOMP [233926]
- Engineering and Physical Sciences Research Council, through the EPSRC Grant RPOACM [EP/K031430/1]
- EPSRC [EP/K031430/1] Funding Source: UKRI
The present paper addresses the multi-objective optimization of the filling stage of the Resin Infusion manufacturing process. The optimization focuses on the selection of an optimal temperature profile which addresses the tradeoff between filling time and the risk of impeding the flow of resin due to excessive curing. The methodology developed combines a numerical solution of the coupled Darcy's flow and heat conduction problem with a Genetic Algorithm (GA). The methodology converges successfully to a final Pareto set for the case of a C-stiffener which is 130 mm high, 60 mm wide and lies on a skin 280 mm wide. The results highlight the efficiency opportunities available compared to standard industrial manufacturing practice. Reductions in filling time up to 66% and up to 15% in final degree of cure are achieved compared to standard solutions. [GRAPHICS] .
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