Rheological Modeling of the Dorlastan Core Spun Yarns for Various Dorlastan Drafts and Yarn Counts

Modeling the Properties of Core-Compact Spun Yarn Using Artificial Neural Network

Investigating the RoCos Core Spun Compact Yarn Properties

Production of Core Spun Yarn with Ring & Siro Spinning System

A common problem in production of core–spun yarns on the Ring spinning frame is the slippage of the staple fibers as sheath fibers relative to the core. This effect is known as ‘strip-back’ or barberpole. This problem may lead to an incomplete core coverage and results in end–breaks in subsequent processing. In order to avoid this problem, in the present work, core spun yarns (acrylic sheath fi...

Multi-Objective Optimization of Rotorcraft Compact Spinning Core-Spun Yarn Properties

Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...