Impact of the Fibre Bed on Resin Viscosity in Liquid Composite Moulding Simulations

被引:3
作者
Gascons, Marc [1 ]
Blanco, Norbert [1 ]
Simacek, Pavel [2 ,3 ]
Peiro, Joaquim [4 ]
Advani, Suresh [2 ,3 ]
Matthys, Koen [5 ]
机构
[1] Univ Girona, AMADE, Dept Mech Engn & Ind Construct, Girona 17071, Spain
[2] Univ Delaware, Ctr Composite Mat, Newark, DE 19716 USA
[3] Univ Delaware, Dept Mech Engn, Newark, DE 19716 USA
[4] Univ London Imperial Coll Sci Technol & Med, Dept Aeronaut, London, England
[5] Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England
基金
英国工程与自然科学研究理事会;
关键词
Fibre bed; Viscosity; Resin infusion; Injection moulding; Composites; INPLANE PERMEABILITY; CHEMORHEOLOGY;
D O I
10.1007/s10443-011-9218-7
中图分类号
TB33 [复合材料];
学科分类号
摘要
In the past, simulation of liquid composite moulding processes was often based on the assumption that resin viscosity could be implemented as a constant value. However, viscosity can be subject to changes during the infusion process and now, non-constant and process parameter dependent expressions have become more common in simulation practice. Nevertheless, even with the inclusion of more advanced resin viscosity models, the prediction of flow front propagation in large, thick composite parts or in slow infusion processes is often still inaccurate when compared to the real application. Discrepancies are found to be most pronounced in the final stages of the infusion process, exactly where high accuracy predictions are most valued. A new simulation method based on an infusion time-dependent resin viscosity expression is proposed in this work. The method not only incorporates non-linear viscosity behaviour, but also takes into account the impact of reinforcement fibre sizing and fibre bed architecture on resin viscosity characteristics. Such fibre bed effects are not identifiable in neat resin viscosity characterization tests but are thought to have substantial impact on in-situ viscosity values during infusion, especially for large, thick composite part applications and slow infusion processes. An application case study has been included to demonstrate the prediction capability of the proposed simulation method. The design of an infusion process for a composite pressure vessel was selected for this purpose. Results show high predictive power throughout the infusion process, with most pronounced benefit in the final infusion stages.
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页码:669 / 688
页数:20
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