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Book synopsis

Modelling the relationship between key parameters of textile products and machine setting parameters has been recently highlighted by a number of scholars for better prediction of products quality characteristics. Samples were woven for analyzing the characteristics of cotton yarn with different strength, elongation, NEP, thickness, thinness, unevenness, and lint. An Experimental design was conducted by altering three machine parameters of production speed, stretching back, and distances, respectively. The relationship between machine parameters and yarn strength was derived from the Artificial Neural Network model featured with Multiple Layer Propagation (MLP) progressive pattern. The Artificial Neural Network (ANN) showed more reliability and precise to predict various thread properties than the other existing models.

Book details

Book category Books in English Technology, engineering, agriculture Technology: general issues Engineering: general

• Full title: Open-End Yarn; Breaking Strength Model
• Subtitle: Comparative Approach by Regression and Artificial Neural Network
• Author: Amirhossein Mahlouji, Pezhman Taherei Ghazvinei
• Language: English
• Binding: Paperback
• Number of pages: 92
• EAN: 9783639660371
• ISBN: 3639660374
• ID: 07174278
• Publisher: Scholars' Press
• Weight: 145 g
• Dimensions: 229 × 152 × 6 mm
• Date of publishing: 02. July 2014

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