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Thermal management in polymer sheet extrusion using physics informed neural networks and non-Fourier viscoelastic modeling | Synapse
March 3, 2026
Thermal management in polymer sheet extrusion using physics informed neural networks and non-Fourier viscoelastic modeling
SK
Syed Hamza Hasnain Kazmi
NM
Noor Muhammad
TA
Taha Aziz
King Fahd University of Petroleum and Minerals
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Puntos clave
This approach optimizes thermal management for polymer extrusion processes, enhancing material quality.
It demonstrates the effectiveness of neural networks for modeling thermal behaviors compared to traditional methods.
Utilizing non-Fourier viscoelastic modeling enables deeper insights into heat conduction dynamics within the system.
Improvements in thermal efficiency could lead to energy savings and better product performance in polymer manufacturing.
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Kazmi et al. (Tue,) studied this question.
synapsesocial.com/papers/69a761bdc6e9836116a2fccd
https://doi.org/https://doi.org/10.1016/j.icheatmasstransfer.2026.110850