Machine Learning Approach for Prediction of Crimp in Cotton Woven Fabrics

Machine Learning Approach for Prediction of Crimp in Cotton Woven Fabrics

The interlacements of yarns in woven fabrics cause the yarn to follow a wavy path that produces crimp. Off-loom width of the fabric is determined by the percentage of the induced crimp. Therefore, the final width of the fabric will be less or surplus than required if crimp percentage is not precisel...

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Bibliographic Details
Main Authors: Muhammad Zohaib Fazal, Sharifullah Khan*, Muhammad Azeem Abbas, Yasir Nawab, Shahzad Younis
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
cotton woven fabric
crimp prediction
machine learning
pre-production prediction
Online Access:https://hrcak.srce.hr/file/365491

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