The problem of yarn breakage during spinning is quite serious, but it is difficult to predict the number of yarn breakages, because the tension and strength of the yarn always vary. The author has used simple mathematical models of the variation of the tension and the strength of the yarn, and calculated the probability of yarn breakages. The result has shown that the variation of the yarn stre...

This article deals with the development of a new composition polymer for dressing cotton yarn. The optimal concentration composition, which is 50 g/kg, against starch-based 70 i.e., consumption starch reduced by 25-30%. It experimentally established that dressing, has significant impact on cost varies within 45-50 g/kg while true glue remained at same level.

[1] We used time-lapse imagery, seismic and audio recordings, iceberg and glacier velocities, ocean wave measurements, and simple theoretical considerations to investigate the interactions between Jakobshavn Isbræ and its proglacial ice mélange. The mélange behaves as a weak, granular ice shelf whose rheology varies seasonally. Sea ice growth in winter stiffens the mélange matrix by binding ice...

Yarn hairiness is one of the key parameters influencing the quality of yarn.It is observed that yarn quality has been deduced based on yarn length and diameter only. But these parameters do not provide much information about yarn quality. Thus it is proposed to derive more yarn quality parameters like yarn hairiness, uniformity of yarn and its thickness. In textile industry, image processing is...

The main goal of using dual core spun yarn is to take advantage all properties its different components. Dual-core yarns comprising three components are currently in vogue. They combine the pleasant wear elastic with high dimensional stability. production these a challenging process even at spinning stage, but they making demands market. Such stretchable produced modified Ring frame. In this sy...

The evaluation method of yarn surface quality currently in use is mainly based on manual inspection. In order to resolve the inherent limitations of the human visual inspection, an intelligent evaluation system has been developed for the objective and automatic evaluation of yarn surface quality with computer vision and artificial intelligence. In this system, all yarn surface features are full...