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ICCM 2019
9th-13th July, Singapore, Singapore


Prediction of void growth and fiber volume fraction based on filament winding process mechanics


Tong Li, Department of Engineering Mechanics, Dalian University of Technology
Email: tong@dlut.edu.cn

Qi Wang, Department of Engineering Mechanics, Dalian University of Technology
Email: 499455885@mail.dlut.edu.cn

Ming Fa Ren, Department of Engineering Mechanics, Dalian University of Technology
Email: renmf@dlut.edu.cn


A prediction model of void growth and fiber volume fraction based on time-varying characteristics of filament winding process parameters is established. The filament winding process is decoupled into three sub-models. The diffusion-controlled void growth model is developed by considering the evolution of resin pressure and temperature during the process. The fiber volume fraction is predicted by establishing the full parameter time-varying thermochemical model and resin flow model. The relationship of process parameters and void size, fiber volume fraction is investigated. The results show that, the predicted void size will be underestimated without considering the change of resin pressure and temperature. Reducing the initial void radius has little effect on the controlling of final size. Increasing the winding tension will significantly reduce the void size and increase the fiber volume fraction, but also cause the uneven distribution of component materials. The humidity of manufacturing environment has great influence on void growth.