A comparative study of the effects of cotton fiber length parameters on modeling yarn properties

2013 ◽  
Vol 83 (9) ◽  
pp. 961-970 ◽  
Author(s):  
Yiyun Cai ◽  
Xiaoliang Cui ◽  
James Rodgers ◽  
Devron Thibodeaux ◽  
Vikki Martin ◽  
...  
Keyword(s):  
Comparative Study ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Yarn Properties

Discriminant analysis-based modeling of cotton fiber and yarn properties

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Baneswar Sarker ◽  
Shankar Chakraborty
Keyword(s):  
Discriminant Analysis ◽  
Physical Properties ◽  
Cotton Fiber ◽  
Fiber Strength ◽  
Natural Fibers ◽  
Content Type ◽  
Fiber Properties ◽  
Yarn Properties ◽  
Fiber Fineness ◽  
Genetic And Environmental Factors

Purpose Like all other natural fibers, the physical properties of cotton also vary owing to changes in the related genetic and environmental factors, which ultimately affect both the mechanics involved in yarn spinning and the quality of the yarn produced. However, information is lacking about the degree of influence that those properties impart on the spinnability of cotton fiber and the strength of the final yarn. This paper aims to discuss this issue. Design/methodology/approach This paper proposes the application of discriminant analysis as a multivariate regression tool to develop the causal relationships between six cotton fiber properties, i.e. fiber strength (FS), fiber fineness (FF), upper half mean length (UHML), uniformity index (UI), reflectance degree and yellowness and spinning consistency index (SCI) and yarn strength (YS) along with the determination of the respective contributive roles of those fiber properties on the considered dependent variables. Findings Based on the developed discriminant function, it can be revealed that FS, UI, FF and reflectance degree are responsible for higher YS. On the other hand, with increasing values of UHML and fiber yellowness, YS would tend to decrease. Similarly, SCI would increase with higher values of FS, UHML, UI and reflectance degree, and its value would decrease with increasing FF and yellowness. Originality/value The discriminant functions can effectively envisage the contributive role of each of the considered cotton fiber properties on SCI and YS. The discriminant analysis can also be adopted as an efficient tool for investigating the effects of various physical properties of other natural fibers on the corresponding yarn characteristics.

scholarly journals A Comparative Study on Dyeing Properties of Hemp and Cotton Fiber

2017 ◽  
Vol 13 (33) ◽  
pp. 378 ◽  
Author(s):  
Shekh Md. Mamun Kabir ◽  
Rezaul Karim ◽  
Khayrul Islam
Keyword(s):  
Comparative Study ◽  
Cotton Fabric ◽  
Cotton Fiber ◽  
Reactive Dye ◽  
Woven Fabrics ◽  
Fastness Properties ◽  
Dyeing Properties

In this study, a mixed bi-functional reactive dye was applied to the cotton and hemp woven fabrics. Their dyeing and fastness properties were compared. From the results, it was observed that the cotton fabric exhibits better exhaustion and levelness than hemp woven fabrics. The build-up and fastness properties of the two woven fabrics appeared to be almost similar.

Influence of Cotton Fiber Strength and Fineness on Fiber Damage during Lint Cleaning

1988 ◽  
Vol 58 (8) ◽  
pp. 433-438 ◽  
Author(s):  
J. K. Dever ◽  
J. R. Gannaway ◽  
R. V. Baker
Keyword(s):  
Significant Relationship ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Fiber Strength ◽  
Fiber Breakage ◽  
Fiber Damage ◽  
Fiber Properties ◽  
Fiber Fineness ◽  
Wide Range ◽  
Induced Changes

Seven sources of cotton representing a wide range of fiber properties were roller ginned, saw ginned, or saw ginned plus processed through tandem saw lint cleaners or through an aggressive carding-type cleaner (Cottonmaster1). Lint cleaner induced changes in fiber length and nep count were compared to fiber property measurements from roller ginned samples. Fiber length deterioration from saw ginning was negatively correlated with fiber strength. Fiber breakage in lint cleaning was positively correlated with fiber fineness. Resistance to fiber length damage in ginning was explained best by fiber strength and fineness, or an estimate of individual fiber strength. Initial and final nep level were related to fineness, nonlint content, and upper quartile length, but an increase in neps due to lint cleaning had no significant relationship to fiber properties.

Generation of cotton fiber length probability density function with length measures

2012 ◽  
Vol 103 (2) ◽  
pp. 225-230 ◽  
Author(s):  
Qian Lin ◽  
Mingjie Xing ◽  
William Oxenham ◽  
Chongwen Yu
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Cotton Fiber ◽  
Fiber Length

Competition of Four Morningglory(Ipomoeaspp.) Species with Cotton(Gossypium hirsutum)

Weed Science ◽  
1978 ◽  
Vol 26 (5) ◽  
pp. 484-488 ◽  
Author(s):  
R. H. Crowley ◽  
G. A. Buchanan
Keyword(s):  
Gossypium Hirsutum ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Competitive Ability ◽  
The Other ◽  
Lint Percentage ◽  
Ipomoea Purpurea ◽  
Pitted Morningglory ◽  
Harvesting Efficiency

Tall morningglory [Ipomoea purpurea(L.) Roth.], pitted morningglory(I. lacunosaL.), ivyleaf morningglory [I. hederacea(L.) Jacq.] and entireleaf morningglory(I. hederaceavar.integruisculaGray) were compared for their competitive ability with cotton(Gossypium hirsutumL.) at weed densities of 4, 8, 16 and 32 weeds/15 m of row. Tall morningglory was the most competitive with yield reductions of as much as 88% at 32 weeds/15 m. The higher populations of tall morningglory also significantly reduced cotton populations, mechanical harvesting efficiency and lint percentage below that in the controls. Pitted morningglory densities twice that of tall morningglory were required to produce cotton responses similar to those induced by tall morningglory. Ivyleaf morningglory and entireleaf morningglory were almost identical in their competitive potentials and were less competitive than the other species evaluated. Their competitive ability was greatly reduced by disease. Competition from morningglories did not consistently affect cotton fiber micronaire, fiber length or strength.

Bias Reduction in Kernel Estimation of the Density Function of Cotton Fiber Length

2012 ◽  
Vol 627 ◽  
pp. 23-28
Author(s):  
Yu Heng Su ◽  
Guang Song Yan
Keyword(s):  
Density Function ◽  
Cotton Fiber ◽  
Fiber Length ◽  
Length Distribution ◽  
Estimation Method ◽  
Kernel Estimation ◽  
Short Fiber ◽  
Bias Reduction ◽  
Theoretical Research ◽  
Fiber Length Distribution

Abstract. The non-parameter kernel estimation has become a dramatic method on fitting the distribution density function of cotton fiber length in theoretical research on fiber length. It can get a differentiable and integrable density function of cotton length distribution, and make the probability approach more effective on analysis and prediction of yarn performance. But, due to the requirements of the fitting smoothness, there is a bias between calculational index and measured value, especially to the short fiber content. This research uses the power function to fit the distribution of short fibers, then according to the principle of mixed distribution, revises the density function gotten by kernel estimation method, and gives a precise estimation of density function. The revised algorithm is more exact to fit the density function of fiber length. This approach is a new way to study the fiber length distribution and its effect on yarn properties both theoretically and practically.

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