In order to make a contribution to the reduction of raw material costs, in the present study the
effect of reused cotton fibres on the quality of conventional ring and OE-rotor yarns was …

Colour is the basic criterion of cotton classification into cotton grade according to the
Universal Cotton Standards. It also reflects the quality of other non-US grown cotton. For …

Fibre properties are influential factors for yarn properties. Cotton, whose physical properties
vary depending on the cultivation region, is still a very common fibre used in the textile …

Improving the accuracy of forecasting is crucial but complex in the clothing industry,
especially for new products, with the lack of historical data and a wide range of factors …

In our previous works, we had predicted cotton ring yarn properties from the fiber properties
successfully by regression and ANN models. In this study both regression and artificial …

Today's industry gives first priority to information technology. Since understanding the
structures and relationships dominated of data can help industrial managers to attend in …

In recent years, there exist few difficulties for textile industries to predict the yarn nep index
for small data and data with mutation. To fill this gap, a yarn nep prediction method …

Effect of rotor type, rotor diameter, doffing-tube nozzle, and torque-stop on polyester/cotton
rotor-spun yarn hairiness have been studied. To model the hairiness of polyester/cotton …

In this study, an artificial neural network (ANN) model is presented in order to predict the
tenacity and hairiness of carded cotton yarns. Fiber measurement values generated by …

An overview of the mechanical properties of textile fiber materials is presented herein,
including fiber strength, elongation, elasticity, wear resistance, modulus of elasticity, and …