Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor-Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm

One of the main methods to reduce the production costs is waste recycling which is the most important challenge for the future. Cotton wastes collected from ginning process have desirable properties which could be used during spinning process. The purpose of this study was to develop predictive mode...

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Bibliographic Details
Main Authors: Mohsen Shanbeh, Hossein Hasani, Somayeh Akhavan Tabatabaei
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2011/591905