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Quality testing of staple yarn by an instrument with dual sensing and its comparative study with capacitive sensing

IR@NISCAIR: CSIR-NISCAIR, New Delhi - ONLINE PERIODICALS REPOSITORY (NOPR)

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Title Quality testing of staple yarn by an instrument with dual sensing and its comparative study with capacitive sensing
 
Creator Roy, Subhasish
Sengupta, Anindita
Sengupta, Surajit
 
Subject Capacitive sensing
Cotton
Cotton- polyester yarn
Dual sensing instrument
Image processing
Jute
Optical sensing
Yarn hairiness
Yarn imperfection
Yarn irregularity
 
Description 269-276
An instrument employing both image processing and optical sensing in a single run has been developed to evaluate yarn quality parameters such as irregularity, imperfections and hairiness. Dedicated software, inbuilt within the system, is also developed, which measures the attributes from both the sensors, and a best fit representation is made. The irregularity and imperfections obtained from proposed instrument are compared with those obtained from universally accepted capacitive sensing Uster tester, whereas hairs/meter are compared with Zweigle tester. The cotton, cotton-polyester blended and jute yarns have been tested in all the systems. The repeatability and reliability of results in both image processing and optical sensing are found insignificant in 5% confidence level. It is observed that the yarns with diameter value up to 0.65 mm can be evaluated by optical sensor, but above this threshold, image processing may be done successfully. Uster tester result mostly corroborates with image processing. Optical sensor shows higher values than image processing.
 
Date 2018-09-12T11:36:27Z
2018-09-12T11:36:27Z
2018-09
 
Type Article
 
Identifier 0975-1025 (Online); 0971-0426 (Print)
http://nopr.niscair.res.in/handle/123456789/45039
 
Language en_US
 
Rights <img src='http://nopr.niscair.res.in/image/cc-license-sml.png'> <a href='http://creativecommons.org/licenses/by-nc-nd/2.5/in' target='_blank'>CC Attribution-Noncommercial-No Derivative Works 2.5 India</a>
 
Publisher NISCAIR-CSIR, India
 
Source IJFTR Vol.43(3) [September 2018]