Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (01): 45-49.doi: 10.13475/j.fzxb.20190203206

• Textile Engineering • Previous Articles     Next Articles

Relationship between fiber alignment and yarn unevenness

SU Yuheng1(), KONG Fanrong1, YAN Guangsong1,2   

  1. 1. Henan University of Engineering, Zhengzhou, Henan 450007, China
    2. Zhengzhou Shengda University of Economics, Business and Management, Zhengzhou, Henan 451191, China
  • Received:2019-02-19 Revised:2019-08-12 Online:2020-01-15 Published:2020-01-14

Abstract:

In order to study the relationship between the alignment of fibers and the uneven distribution of fiber numbers in the cross-sections of a staple yarn, a mathematical model describing the distribution of fibers at the left ends of yarn segments cut at equal intervals and the expectation of the fiber numbers in the yarn cross-section was established using geometric probability method, and a parameter to characterize the arrangement of fibers in yarn was defined. The variation of fiber numbers in the cross-sections of yarn segments against the fiber alignment parameter was simulated by Monte Carlo method. The results showed that the CV value of fiber numbers in the cross-sections of the segments of the staple yarn was negatively proportional against the parameters of the alighment state of staple fibers in the yarn, and demonstrated no relation with the distribution of the fiber length and the division of the simulation interval. When the alighment parameter is close to 1, that is when the number of fibers in the left end of the yarn segment is fixed, the variation in fiber numbers in the cross-sections was the lowest. When the alignment parameter tends to 0, meaning that when the number of fibers in yarn segments follows a Poisson distribution, the variation of the fiber numbers was the highest.

Key words: fiber end, fiber alignment, random simulation, yarn unevenness, fiber number in the cross-section of staple yarn

CLC Number: 

  • TS101.9

Fig.1

Model of continuous fiber assembly"

Fig.2

Geometric statistical model of left end of continuous fiber assembly"

Fig.3

Length distribution by fiber number of cotton(sample 1)"

Fig.4

CV value of fiber number in cross section of yarn at different p values(s~b(n,p))(sample 1)"

Fig.5

Length distribution by fiber number of cotton(sample 2)"

Fig.6

CV value of fiber number in cross section of yarn at different p values(s~b(n,p))(sample 2)"

Fig.7

CV value with different spacing(sample 1)"

[1] SPENCER-SMITH J L, TODD REVIEWED HAC. A time series met with in textile research[J]. Supplement to the Journal of the Royal Statistical Society, 1941,7(2):131-145.
doi: 10.2307/2983660
[2] MARTINDALE J G. A new method of measuring the irregularity of yarns with some observations on the origin of irregularitier in worsted slivers and yarns[J]. Journal of the Textile Institute, 1945,36:35-47.
[3] SUDARSANA RAO J. A mathematical model for the ideal silver and its applications to the theory of roller drafting[J]. Journal of the Textile Institute, 1961,52:570-600.
[4] BROWN G H, NHAN G Ly. Statistics for the number of fiber ends in a segment of a random assembly of aligned fibers[J]. Textile Research Journal, 1985: 206-210.
[5] ZEIDMAN M I, SUH M W, BATRA S K. A new perspective on yarn unevenness: components and determinants of general unevenness[J]. Textile Research Journal, 1990,60(1):1-6.
doi: 10.1177/004051759006000101
[6] CHERKASSKY A. Discrete-event simulation model of roll-drafting process[J]. Journal of the Textile Institute, 2010,102(12):1044-1058.
doi: 10.1080/00405000.2010.531950
[7] YAN G, ZHU J, YU C. A new approach to theoretical yarn unevenness: a binomial distribution model[J]. Journal of the Textile Institute, 2010,101(8):753-757.
doi: 10.1080/00405000903024199
[8] 张弘强, 胡远波, 姜展, 等. 生条中纤维左头端的分布[J]. 纺织学报, 2016,37(5):28-31.
ZHANG Hongqing, HU Yuanbo, JIANG Zhan, et al. Distribution of fiber left ends in card sliver[J]. Journal of Textile Research, 2016,37(5):28-31.
[9] JIAN Zhan. Simulation on fiber random arrangement in the yarn[J]. Journal of the Textile Institute, 2014,105(12):1312-1318.
doi: 10.1080/00405000.2014.891685
[10] 林倩, 严广松, 郁崇文. 棉纤维长度分布密度函数的非参数核估计[J]. 纺织学报, 2008,29(11):22-25.
LIN Qian, YAN Guangsong, YU Chongwen. Non-parameter kernel estimation of density function of cotton fiber length[J]. Journal of Textile Research, 2008,29(11):22-25.
[1] LI Dan;YU Pu. Influence of fiber end dimension on its bending behavior [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(9): 23-25.
[2] YAN Guangsong;ZHU Jinzhong;YU Chongwen. Unevenness prediction for yarns by fiber array parameter [J]. JOURNAL OF TEXTILE RESEARCH, 2008, 29(12): 25-29.
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