Quality Prediction and Abnormal Processing Parameter Identification in Polypropylene Fiber Melt Spinning Using Artificial Intelligence Machine Learning and Deep Learning Algorithms

Quality Prediction and Abnormal Processing Parameter Identification in Polypropylene Fiber Melt Spinning Using Artificial Intelligence Machine Learning and Deep Learning Algorithms

Melt spinning machines must be set up according to the process parameters that result in the best end product quality. In this study, artificial intelligence algorithms were employed to create a system that detects abnormal processing parameters and suggests strategies to improve quality. Polypropyl...

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Bibliographic Details
Main Authors: Amit Kumar Gope, Yu-Shu Liao, Chung-Feng Jeffrey Kuo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Polymers
Subjects:
melt spinning machine
artificial intelligence
machine learning
random forest
deep learning
neural network
Online Access:https://www.mdpi.com/2073-4360/14/13/2739

Internet

https://www.mdpi.com/2073-4360/14/13/2739

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