Optimization Method for the PVB Resin Process Parameters Based on the Quality Index Prediction Model

Optimization Method for the PVB Resin Process Parameters Based on the Quality Index Prediction Model

This paper presents an optimization method for the parameters of the synthesis process of polyvinyl butyral (PVB) resin based on a quality index prediction model. First, a PVB resin quality index prediction model is established based on a backpropagation (BP) neural network. The model uses 17 input...

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Bibliographic Details
Main Authors: Tongming Xu, Haiming Zhang, Bozhao Li, Guobo Zhao, Haiyang Lu, Weilong Li, Siyuan Wang, Zhaoran Shen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Journal of Chemical Engineering of Japan
Subjects:
Process parameter optimization
Quality index prediction
BP neural network
Reaction mechanism
PVB resin
Online Access:https://www.tandfonline.com/doi/10.1080/00219592.2025.2474425
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https://www.tandfonline.com/doi/10.1080/00219592.2025.2474425

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