Flow Behaviour of Carbon Fibre Sheet Moulding Compound

The growing popularity of SMC compression moulding in the automotive industry has led to great interests in process simulation model development. Existing process simulation models are commonly adapted from models originally developed for short fibre composites and lacking experimental validation da...

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Bibliographic Details
Published in:Key engineering materials 2022-07, Vol.926, p.1350-1357
Main Authors: Jesri, Mona, Qian, C.C., Yuan, Hao, Khan, Muhammad, Kendall, Kenneth N.
Format: Article
Language:English
Subjects:
Carbon fibers
Data compression
Fiber composites
Flow simulation
Force distribution
Industrial development
Predictions
Pressure distribution
Pressure molding
Sheet molding compounds
Short fibers
Simulation
Simulation models
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Summary:The growing popularity of SMC compression moulding in the automotive industry has led to great interests in process simulation model development. Existing process simulation models are commonly adapted from models originally developed for short fibre composites and lacking experimental validation data. A novel material model specifically developed for SMC flow simulation is proposed in this paper, where the experimental material characterisation is performed using the squeeze flow testing method. The model is validated through simulation of the squeeze flow testing and the accuracy of the model is assessed by comparing the predicted compression forces against experimental data collected from the squeeze flow testing. The proposed new model has demonstrated significant improvement in comparison to existing commercial models in term of compression force prediction, but the predicted compressive forces diverted away from the experimental values towards the end of the test. The predicted cavity pressure distribution has also been investigated and compared to observations reported in the literature where good correlation between predicted pressure distribution and the literature have been achieved.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/p-g9s2nr