Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite

Sells, S; Zhang, J

doi:10.5220/0012469300003636

Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite

Lookup NU author(s): Dr Jie Zhang ORCiD

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Abstract

© 2024 by SCITEPRESS – Science and Technology Publications, Lda. A hybrid mechanistic/neural network model was developed for the industrial polymer composite curing process of a fibre-reinforced polymer composite. A hybrid model with parallel scheme and a hybrid model with the combination of series and parallel schemes were developed. It is found that the hybrid model with the combination of series and parallel schemes gives better performance. It is shown that the developed hybrid model is more accurate than its mechanistic and neural network counterparts in predicting the degree of cure based upon the temperature and time data. The hybrid model is 7.7% and 17.1% more accurate than the neural network model and the mechanistic model respectively in terms of sum of absolute errors.