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

Samuel Sells; Jie Zhang

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Paper

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

Topics: Hybrid Intelligent Systems; Industrial Applications of AI; Machine Learning; Neural Networks

In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 614-621, 2024 , Rome, Italy

Authors: Samuel Sells and Jie Zhang

Affiliation: School of Engineering, Merz Court, Newcastle University, Newcastle upon Tyne NE1 7RU, U.K.

Keyword(s): Polymer Composite, Degree of Cure, Neural Networks, Hybrid Modelling, Machine Learning.

Abstract: 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.

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Paper citation in several formats:

Sells, S. and Zhang, J. (2024). Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 614-621. DOI: 10.5220/0012469300003636

@conference{icaart24,
author={Samuel Sells. and Jie Zhang.},
title={Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2024},
pages={614-621},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012469300003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite
SN - 978-989-758-680-4
IS - 2184-433X
AU - Sells, S.
AU - Zhang, J.
PY - 2024
SP - 614
EP - 621
DO - 10.5220/0012469300003636
PB - SciTePress