Recent research and developments on yarn hairiness
Source abstract
Abstract
Hairiness is an important quality parameter of spun yarns. It not only affects the quality of yarns, but also the weaving and knitting performance of yarns as well as the quality of the resultant fabrics. Various developments regarding yarn hairiness have been reported in the last decade. These cover aspects such as hairiness measurement, modeling, simulation, spinning modifications and post spinning treatments to reduce hairiness. This study is an attempt to critically review all significant recent developments regarding yarn hairiness. Further possibilities of research and future work are also briefly discussed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Textile materials and evaluations · Industrial Vision Systems and Defect Detection · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Textile University, Faisalabad, Pakistan
Institute for Frontier Materials, Deakin University, Geelong, Australia
Wuhan Textile University, Wuhan, China
References (100+)
Show source-provided references
1. 10.1080/0040516830868889710.1080/00405168308688897 ↗
2. 10.1080/0040516930868886010.1080/00405169308688860 ↗
3. 10.1080/0040516970868886710.1080/00405169708688867 ↗
4. 10.1080/0040516020868895310.1080/00405160208688953 ↗
5. Uster Technologies Ltd. Uster Tester 5 catalogue, 2011.
6. Uster Technologies Ltd. HL400 catalogue, 2011.
7. 10.1080/0040516040868900510.1080/00405160408689005 ↗
8. 10.1080/00405167.2010.52770510.1080/00405167.2010.527705 ↗
9. Jackowska-Strumiłło L, Strzecha K, Grzelewski A, et al. Application of image processing methods for determination and analysis of yarn hairiness. In: Przetwarzanie i analiza obrazow w systemach wizji i sterowania . Automatics, AGH University of Science Publishing, Krakow, Poland: 2004.
10. Kuzański M and Jackowska-Strumiłło L. The project of computer standing-system for yarn hairiness measurement. In: Conference on networks and informatics systems , Lodz, Poland, 2005.
11. Kuzański M and Jackowska-Strumiłło L. Yarn hairiness determination by the use of image processing and analysis versus classical methods. In: Eighth international conference: the experience of designing and application of CAD systems in microelectronics , Lviv-Polyana, Ukraine, 2005.
12. Kuzański M. Measurement methods for yarn hairiness analysis - the idea and construction of research standing. In: Perspective technologies and methods in MEMS design , Lviv, Ukraine, 2006.10.1109/MEMSTECH.2006.288672 ↗
13. Kuzański M and Jackowska-Strumiłło L. Yarn hairiness determination – the algorithms of computer measurement methods. In: Perspective technologies and methods in MEMS design , Lviv-Polyana, Ukraine, 2007.10.1109/MEMSTECH.2007.4283454 ↗
14. Kuzański M, Fabijańska A, Sankowski D, et al. Machine vision – automation of selected measurement systems. In: Perspective technologies and methods in MEMS design , Polyana, Ukraine, 2008.10.1109/MEMSTECH.2008.4558739 ↗
15. Fabijańska A, Kuzański M, Sankowski D, et al. Application of image processing and analysis in selected industrial computer vision systems. In: Perspective technologies and methods in MEMS design , Polyana, Ukraine, 2008.10.1109/MEMSTECH.2008.4558728 ↗
16. Kuzański M. The algorithms of the yarn shape detection and calculation of the protruding fibres length. In: Perspective technologies and methods in MEMS design , Polyana, Ukraine, 2008.10.1109/MEMSTECH.2008.4558752 ↗
17. Kuzański M and Jackowska-Strumiłło L. Yarn hairiness determination – the algorithms of computer measurement methods In: Proceedings of perspective technologies and methods in MEMS design , Lviv-Polyana, Ukraine, 2007.10.1109/MEMSTECH.2007.4283454 ↗
18. Ozkaya YA, Acar M and Jackson MR. Computer vision for yarn characterisation. In: Eighth United Kingdom mechatronics forum international conference , 2002.
19. 10.1117/1.190274310.1117/1.1902743 ↗
20. 10.1080/0040500070146241910.1080/00405000701462419 ↗
21. 10.1080/0040500070146244310.1080/00405000701462443 ↗
22. 10.1080/0040500080234641210.1080/00405000802346412 ↗
23. 10.1007/s00138-012-0411-y10.1007/s00138-012-0411-y ↗
24. Boykov YY and Jolly MP. Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images. In: Proceedings of the eighth IEEE international conference on computer vision (ICCV 2001) , Vancouver, Canada, 2001.
25. 10.1533/joti.2005.000910.1533/joti.2005.0009 ↗
26. Wang XH, Wang JY, Zhang JL, et al. Study on the detection of yarn hairiness morphology based on image processing technique. In: Ninth international conference on machine learning and cybernetics , Qingdao, 2010.10.1109/ICMLC.2010.5580660 ↗
27. Yuvaraj D · Indian J Fibre Text Res · 2012 · 37 · 331
28. Carvalho V, Cardoso P, Belsley M, et al. Determination of yarn hairiness using optical sensors. In: Eurosensors XX , Gothenburg, Sweden, 2006.
29. Carvalho V, Cardoso P, Belsley M, et al. Development of a yarn evenness measurement and hairiness analysis system. In: 32nd annual conference on IEEE industrial electronics , Paris, 2006.10.1109/IECON.2006.347502 ↗
30. Carvalho VH, Cardoso PJ, Vasconcelos RM, et al. Optical yarn hairiness measurement system. In: 25th IEEE conference on industrial informatics , Vienna, 2007.10.1109/INDIN.2007.4384783 ↗
31. 10.1016/j.measurement.2008.02.01010.1016/j.measurement.2008.02.010 ↗
32. 10.1016/j.sna.2007.02.01910.1016/j.sna.2007.02.019 ↗
33. Carvalho V, Soares F, Belsley M, et al. Automatic yarn characterization system. In: IEEE sensors , Lecce, 2008.10.1109/ICSENS.2008.4716557 ↗
34. Carvalho V, Belsley M, Vasconcelos RM, et al. Yarn parameterization correlation using optical and capacitive sensors approaches. In: 35th Annual conference of IEEE industrial electronics , Porto, 2009.10.1109/IECON.2009.5414846 ↗
35. Carvalho V, Soares F and Vasconcelos R. Artificial intelligence and image processing based techniques: a tool for yarns parameterization and fabrics prediction. In: IEEE conference on: Emerging technologies and factory automation , Mallorca, 2009.10.1109/ETFA.2009.5347255 ↗
36. 10.1109/JSEN.2009.202581010.1109/JSEN.2009.2025810 ↗
37. 10.1016/j.sna.2011.03.00610.1016/j.sna.2011.03.006 ↗
38. 10.1063/1.195159010.1063/1.1951590 ↗
39. 10.1080/0040500970865853410.1080/00405009708658534 ↗
40. 10.1080/0040500980865860710.1080/00405009808658607 ↗
41. 10.1177/00405175990690010510.1177/004051759906900105 ↗
42. 10.1177/00405175990690120110.1177/004051759906901201 ↗
43. Keisokki. Hairiness-Diameter tester LST-V catalogue, 2011.
44. Lawson Hemphill Ltd. LH 483 catalogue, 2011.10.1093/law/9780199691654.003.0010 ↗
45. SDL Atlas. Y103C portable hairiness tester catalogue, 2011.
46. 10.1080/0040500980865861710.1080/00405009808658617 ↗
47. Tang ZX, Wang X, Wang L and Fraser WB. The effect of yarn hairiness on air drag in ring spinning. Text Res J 2006; 76(7): 559–565.10.1177/0040517506064472 ↗
48. Haleem N and Wang X. A comparative study on yarn hairiness results from manual test and two commercial hairiness meters. J Text Inst 2012: 104(5): 1–8.10.1080/00405000.2012.745235 ↗
49. Jackowska-Strumiłło L · Fibres Text East Eur · 2004 · 12 · 17
50. Jackowska-Strumiłło L · Fibres Text East Eur · 2008 · 16 · 28
51. 10.1177/00405175040740090210.1177/004051750407400902 ↗
52. 10.1533/joti.2004.007310.1533/joti.2004.0073 ↗
53. 10.1533/joti.2005.013410.1533/joti.2005.0134 ↗
54. Baykal PD · Fibres Text East Eur · 2007 · 15 · 46
55. 10.1007/s12221-008-0015-310.1007/s12221-008-0015-3 ↗
56. 10.1177/004051750809417110.1177/0040517508094171 ↗
57. 10.1533/joti.2006.026610.1533/joti.2006.0266 ↗
58. Majumdar A · Indian J Fibre Text Res · 2010 · 35 · 121
59. Zhao B. Neural network for prediction of hairiness of ring spun cotton yarn. In: International conference on information technology, computer engineering and management sciences , Nanjing, Jiangsu, 2011.
60. Zhao B. Applications of artificial intelligence methods in the sizing hairiness of polyester/cotton blended yarn prediction. In: International conference on computer application and system modeling , Taiyuan, 2010.10.1109/ICCASM.2010.5620472 ↗
61. Zhao B. Applying artificial neural network technique and theory to study the hairiness of polyester/cotton blended yarn in warping process. In: International conference on information technology, computer engineering and management sciences , Nanjing, 2011.10.1109/ICM.2011.387 ↗
62. 10.1007/s12221-012-0118-810.1007/s12221-012-0118-8 ↗
63. 10.1007/s12221-012-0390-710.1007/s12221-012-0390-7 ↗
64. Haghighat E, Johari MS, Etrati SM, et al. Study of the hairiness of polyester–viscose blended yarn, part III. Predicting the yarn hairiness using artificial neural networks. Fibres Text East Eur 2012; 20: 90: 33–38.
65. Klein W. The technology of short staple spinning In: Manual of textile technology, short-staple spinning series . The Textile Institute, 1987.
66. 10.1177/004051751244758610.1177/0040517512447586 ↗
67. 10.1177/00405175030730040910.1177/004051750307300409 ↗
68. Thilagavathi G · Indian J Fibre Text Res · 2005 · 30 · 295–301
69. Thilagavathi G · Indian J Fibre Text Res · 2009 · 34 · 328
70. 10.1177/00405175970670040310.1177/004051759706700403 ↗
71. 10.1533/joti.2005.018210.1533/joti.2005.0182 ↗
72. 10.1080/0040500090341532210.1080/00405000903415322 ↗
73. 10.1007/s12221-012-1359-210.1007/s12221-012-1359-2 ↗
74. 10.1177/004051751247174810.1177/0040517512471748 ↗
75. 10.1177/004051751038517410.1177/0040517510385174 ↗
76. 10.1177/004051751036180310.1177/0040517510361803 ↗
77. 10.1080/0040500100372235110.1080/00405001003722351 ↗
78. Haghighat E · Fibres Text East Eur · 2008 · 16 · 68
79. 10.1007/s12221-012-0104-110.1007/s12221-012-0104-1 ↗
80. 10.1007/s12221-012-0670-210.1007/s12221-012-0670-2 ↗
81. 10.1080/00405000.2013.79012710.1080/00405000.2013.790127 ↗
82. Rieter. K 45 ComforSpin machine brochure, 2011.
83. Oerlikon Schlafhorst. Zinser modular concept 351, 2011.
84. Suessen. EliTe®CompactSet-S, 2011.
85. Rotorcraft. Rocos-the second generation of compact spinning, 2011.
86. 10.1177/00405175020720021210.1177/004051750207200212 ↗
87. 10.1177/00405175040740090310.1177/004051750407400903 ↗
88. 10.1177/00405175020720120710.1177/004051750207201207 ↗
89. 10.1177/00405175030730041310.1177/004051750307300413 ↗
90. 10.1515/IJNSNS.2003.4.2.20110.1515/IJNSNS.2003.4.2.201 ↗
91. 10.1177/00405175040740030610.1177/004051750407400306 ↗
92. Patnaik A · J Text Apparel Tech Manag · 2005 · 4 · 1
93. 10.1533/joti.2005.021810.1533/joti.2005.0218 ↗
94. 10.1533/joti.2005.021710.1533/joti.2005.0217 ↗
95. 10.1007/BF0287569010.1007/BF02875690 ↗
96. 10.1080/0040500070150274310.1080/00405000701502743 ↗
97. 10.1177/004051750708975410.1177/0040517507089754 ↗
98. 10.1080/0040500070150277610.1080/00405000701502776 ↗
99. Subramanian S · Indian J Fibre Text Res · 2007 · 32 · 47
100. 10.1177/004051750707940910.1177/0040517507079409 ↗