Rapid prediction and inverse design of distortion behaviors of composite materials using artificial neural networks

If the process‐induced distortions (PIDs) of asymmetrical laminates can be predicted accurately and tailored at the early design stage, the production of curved panels from flat molds could be an attractive technique in a cost‐driven production environment. A data‐driven computational methodology wh...

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Veröffentlicht in:	Polymers for advanced technologies 2021-03, Vol.32 (3), p.1049-1060
Hauptverfasser:	Luo, Ling, Zhang, Boming, Zhang, Guowei, Li, Xueqin, Fang, Xiaobin, Li, Weidong, Zhang, Zhenchong
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural network Artificial neural networks Asymmetry Composite materials Curved panels Distortion Finite element method Forward problem Inverse design Laminates Neural networks polymer‐matrix composites Prepregs process‐induced distortion Screening
Online-Zugang:	Volltext
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