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IJSTR >> Volume 6 - Issue 2, February 2017 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Vision-Based Method For Analyzing Yarn Evenness

[Full Text]

 

AUTHOR(S)

SN Niles, WPP Dias, TKM Perera, W Vinoth, EMR Wijenayake

 

KEYWORDS

diameter variation plot, evenness testing, image processing, thick places, thin places, yarn diameter, yarn evenness.

 

ABSTRACT

Yarn evenness is a key factor in its performance and in the properties of the material produced from the yarn. The presence of defects in a yarn will result in the deterioration in the quality and usability of the yarn. While many methods are available to ascertain the yarn evenness many of them are tedious and dependent on the operator for its results, while others, though less subjective and of high speed, are prohibitively expensive. This paper outlines a method which uses a cost-effective image capture device and image processing algorithms to process the captured images, generate a diameter variation plot and analyse the same to count the number of thick and thin places in the yarn.

 

REFERENCES

[1] Martindale, J.G. 1945, A new method of measuring the irregularity of yarns with some observations on the origin of irregularities in worsted slivers and yarns, Journal of the Textile Institute, 36, T35-47.

[2] ASTM D2255 / D2255M - 09(2013)e1, “Standard Test Method for Grading Spun Yarns for Appearance”, American Society for Testing Materials, 2009.

[3] BP Saville, “Physical Testing of Textiles” Woodhead Publishing Ltd, Cambridge, UK, 1999, pp. 96ff

[4] Junjuan Li, Baoqi Zuo, Chen Wang and Wenxiao Tu, “A Direct Measurement Method of Yarn Evenness Based on Machine Vision", Journal of Engineered Fibers and Fabrics, Volume 10, Issue 4, pp. 95-102, 2015.

[5] M. R. Mahamoudi, W. Oxenham, "A New Electro-Mechanical Method for Measuring Yarn Thickness”, AUTEX Research Journal, Volume 2 No. 1, pp 28-37, March 2002.

[6] D Zhang, L Cheng. “Comparison of Two Different Yarn Evenness Test Methods”, Modern Applied Science, Volume 4 No. 3, pp 71-76, 2010

[7] R Pan, W Gao, J Liu, H Wang, “Recognition of the Parameters of Slub yarn Based on Image Analysis”, Journal of Engineered Fibres and Fabrics, Volume 6 No. 1 pp 25-30, 2011.