JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (12): 43-48.

Previous Articles     Next Articles

Influence of different drawing methods on appearance and yarn quality of cloud yarn

  

  • Received:2016-12-21 Revised:2017-03-12 Online:2017-12-15 Published:2017-12-18

Abstract:

In order to improve the appearance and increase the yarn quality of cloud yarn, the influences of three different drawing methods on the appearance and yarn quality of cloud yarn were discussed. Different cloud yarns of 29.2 tex / 14.6 tex/9.7 tex/7.3 tex/5.8 tex were spun on TH558 super high draft ring spinning machine, which was equipped with four-line draft system and four roller by changing the feeding way of decorative yarn, namely feeding from the back roller, medium-back roller and medium-front roller of spinning frame respectively under the condition of same other process parameters. Using VHX-5000 digital microscopic system to observe and analyze the appearance of cloud yarn, and gave a testing and comparative analysis for its tensile property, evenness and hairiness. The results show that different drawing methods will produce different yarn appearance, and compared with the other two ways, the yarn spun by decorative yarn feeding from the medium-back roller has a better yarn quality, namely more useful hairiness(within 3mm) and less harmful hairiness(beyond 3mm), higher strength and yarn quality index. Also, its structure is relatively compact and the three-dimension effect is stronger.

Key words: cloud yanr, breaking strength, hairiness, evenness

[1] . Detection and evaluation on yarn hairiness of blackboard with image processing [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(08): 144-149.
[2] . Reducing yarn hairiness by wetting in ring spinning [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(05): 108-112.
[3] . Influence of sizing pretreatment agent in properties of warp knitting cotton yarn  [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(04): 82-86.
[4] . Mechanism of swirl nozzle on yarns with different linear densites [J]. JOURNAL OF TEXTILE RESEARCH, 2018, 39(03): 38-44.
[5] . Properties of flax and hemp blended yarn based on swirl nozzle spinning [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(10): 19-24.
[6] . Tracking measurement of yarn hairiness skeleton and length [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(08): 32-38.
[7] . Double S curves soft drafting technology [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 34-38.
[8] . Yarn evenness detection based on saliency algorithm [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(06): 130-135.
[9] . Tensile characteristics of warp knitted spacer fabrics [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(04): 55-60.
[10] . Tensile properties of self-twist yarns [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(03): 44-48.
[11] . Modeling and experimental study on yarn’s cross-section compression deformation [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(02): 184-190.
[12] . Automatic construction of digital woven fabric using sequence yarn images [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(3): 35-0.
[13] . Size-free sizing process for cellulosic yarns [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(2): 85-0.
[14] . Measurement of yarn evenness using sequence images [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(11): 26-31.
[15] . Influence of process optimization of breaker drawing on yarn quality of phenolic fiber [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(10): 26-31.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!