JOURNAL OF TEXTILE RESEARCH

Previous Articles     Next Articles

Study o yarn unevenness based on experiment of fibers acclilrated-point distribution

  

  • Online:2016-08-15 Published:2016-08-15

Abstract:

In order to explore the dffect of the enhancement of the drafting multiple and the collocations of drafting multiple on yarn unevenness, the experiment of the accelerated-distribution is presented. The yarn evenness is analyzed by the change of fibers accelerated-point distribution. Firstly, 9.7 tex cotton yarn was taken as example, and the accelerated-point distribtion of the front draft zone of ring spinning frame and super high drafting ring spinning frame were compared. Then, 9.7 tex, 7.3 tex and 6.5 tex cotton yarns were spun on the super high drafting ring spinning frame with the heavy weight 1000 tex of the roving. Lastly, 9.7 tex cotton yarn was taken as example, under the different collocations of drafting multiple, the accelerated-point distribution of the front draft zone was explored. The results indicate that the accelerated-oint distribution of the super high drafting ring spinning frame is more centralized and stable and fronted than ring spinning frame, and the yarn evenness is better. And along with the increasing of the drafting multiple, the accederated-point distribution is more dispersed and the yarn evenness is worse. Moreover, 9.7 tex cotton yarn is spun on 1.1 back draft and 1.3 intermediate draft, the accelerated-point distribution of the front draft zone is the most centarlized and fronted, and the yarn evenness is the best.

Key words: accelerated-point distribution, super high drafting, yarn evenness, collocation of drafting multiple

[1] . Double S curves soft drafting technology [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(07): 34-38.
[2] . Yarn evenness detection based on saliency algorithm [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(06): 130-135.
[3] . Modeling and experimental study on yarn’s cross-section compression deformation [J]. JOURNAL OF TEXTILE RESEARCH, 2017, 38(02): 184-190.
[4] . Automatic construction of digital woven fabric using sequence yarn images [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(3): 35-0.
[5] . Measurement of yarn evenness using sequence images [J]. JOURNAL OF TEXTILE RESEARCH, 2016, 37(11): 26-31.
[6] Yu Chongwen. Effect of fiber length on spinning and yarn quality [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(6): 126-130.
[7] . Spinning process of cellular photocatalyst fiber/cotton blended yarns and properties thereof [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(4): 32-36.
[8] . Primary discussion on detection of yarn evenness based on digital image processing [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(12): 19-24.
[9] JIANG Yan;YU Riming;JIANG Li;WANG Shanyuan. Relationship between texture parameters and evenness of textured yarns [J]. JOURNAL OF TEXTILE RESEARCH, 2009, 30(05): 16-19.
[10] ZHOU Xuanli;CHENG Ling. Digital image processing method of yarn black board [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(8): 30-34.
[11] HUANG Li-qian;LIU Shui-lian;JIANG Yao-xing;WANG Shan-yuan. Properties of spun silk/Nylon filaments sirofil composite yarn [J]. JOURNAL OF TEXTILE RESEARCH, 2006, 27(4): 66-69.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!