Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network

Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network

Objective This study addresses the challenging task of real-time monitoring of melt density during polymer extrusion, specifically for the polycarbonate-acrylonitrile-butadiene-styrene (PC/ABS) blend system, a critical parameter profoundly impacting the quality of the final product. Ensuring precise...

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Bibliographic Details
Main Authors: Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN
Format: Article
Language:English
Published: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2024-11-01
Series:工程科学与技术
Subjects:
polymer extrusion processing
melt density
multi-sensor data fusion
CNN–LSTM
online monitoring
Online Access:http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202301065
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