نتایج جستجو برای: yarn breakage

تعداد نتایج: 9685  

2010
Md. Mahbubul Haque

Threads per inch and yarn count are some of the most important parameters that affect both weaving performance and fabric property. Experimental studies were conducted by weaving fabrics with three different picks per inch (PPI) and weft counts. The study shows that weaving performance is affected by the too high cover factor. Cover factor was calculated by dividing the threads/inch by the squa...

Journal: :Journal of the Textile Machinery Society of Japan 1955

Journal: :Transactions of the Society of Instrument and Control Engineers 2017

Journal: :IEEE Transactions on Instrumentation and Measurement 2021

Journal: :Journal of engineering science 2023

Sizing is one of the essential steps in fabric manufacturing for increasing weaving production efficiency case cotton and blend fabrics by providing a protective coating to warp yarn that does not add any functional value. This research aimed analyze effects size add-on% two sizing process parameters, such as machine speed squeezing roller pressure, on average breakage rate during weaving. The ...

Journal: :Heliyon 2023

This study was carried out to determine the best ring size for a certain yarn count. In frame with three separate rings of varying sizes, 20s/1 kW created. The spinning method used same speed, twist, traveller, and spacer but distinct diameters 38 mm (Ring- A), 40 B), 42 C). Then, under testing conditions, ten samples each were examined by Uster Evenness Tester (UT-6) compared one. “Ring- C″ pr...

2016
Sunita Sharma Sachin Shinde

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...

2012
Sheng Yan LI Jie FENG Bin Gang XU Xiao Ming TAO

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...

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