Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (03): 78-82.doi: 10.13475/j.fzxb.20210701205

• Textile Engineering • Previous Articles     Next Articles

Evaluation of anti-pilling performance of sized yarns based on hairiness image detection

GUO Min, WANG Jing'an, GUO Mingrui, GAO Weidong()   

  1. Key Laboratory of Eco-Textiles(Jiangnan University), Ministry of Education, Wuxi, Jiangsu 214122, China
  • Received:2021-07-01 Revised:2021-09-29 Online:2022-03-15 Published:2022-03-29
  • Contact: GAO Weidong E-mail:gaowd3@163.com

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Abstract:

In order to evaluate accurately the hairiness of sized yarns before and after weaving and characterize effectively the anti-pilling performance of sizing, an evaluation method of anti-pilling performance of sized yarns based on image detection of hairiness was proposed. Cotton raw yarns of 14.5 tex and sized yarn with three types of sizing add-ons were studied to simulate weaving load on JN-01 sizing abrasion resistance tester, and abrasion resistance experiments were carried out. Based on image acquisition, yarn evenness segmentation, hairiness segmentation and main abrasion zone positioning, the hairiness index was extracted. The logarithmic function model of sizing hairiness and weaving load was established, and the comprehensive yarn pilling index is constructed based on this model. The results show that the proposed image method can accurately identify the yarn hairiness, and the yarn pilling index can effectively characterize the anti-pilling performance of the sized yarns under various weaving loads.

Key words: sized yarn, weaving load, regenerated hairiness, image detection, hairiness detection, pilling index, anti-pilling performance

CLC Number: 

  • TS103.12

Tab.1

Sizing process parameters of samples"

试样编号 浆液质量分数/% 压浆力/kN 上浆率/%
1# — — 0.0
2# 9 12 5.8
3# 10 11 8.7
4# 11 10 10.5

Fig.1

Schematic diagram of yarn image acquisition device"

Fig.2

Segmentation of yarn evenness and yarn hairiness. (a) Original image of yarn; (b) Segmentation image of yarn evenness; (c) Enhancement image of yarn; (d) Segmentation image of yarn hairiness"

Fig.3

Test results of loading times-hairiness"

Tab.2

Model fitting results of four yarn samples"

试样编号 a b R2 c
1# 5.480 7.565 0.975 41.456
2# 2.013 3.175 0.949 6.392
3# 1.402 2.905 0.920 4.072
4# 0.765 1.868 0.902 1.429
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[5] ZHAO Qiming;LU Huacheng. Size pick-up prediction for the pre-wet sizing process [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(10): 39-42.
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