Skip to main content
ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Cotton Structure and Quality Research » Research » Publications at this Location » Publication #270941
Title: A comparative study on cotton fiber length parameters’ effects on modeling yarn property

Author
item CAI, YIYUN - Louisana State University
item Cui, Xiaoliang
item Rodgers Iii, James
item Thibodeaux, Devron
item MARTIN, VIKKI - Cotton, Inc
item WATSON, MIKE - Cotton, Inc
item PANG, SU_SENG - Louisana State University

Submitted to: Textile Research Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/19/2012
Publication Date: 1/8/2013
Citation: Cai, Y., Cui, X., Rodgers III, J.E., Thibodeaux, D.P., Martin, V., Watson, M., Pang, S. 2013. A comparative study on cotton fiber length parameters’ effects on modeling yarn property. Textile Research Journal. 83: 961-970. DOI: 10.1177/0040517512468821.

Interpretive Summary: The length of cotton fiber is one of the key factors in cotton classing. It has important influences on yarn production and yarn quality. Various parameters have been developed to characterize cotton fiber length in the past decades. This study was carried out to investigate the effects of these parameters and their combinations on yarn properties, thus to improve the accuracy of the predictions. Linear regression models with different number of fiber length parameters and their combinations were developed for predicting ring and open-end (rotor) spun yarns’ properties such as strength and irregularity. The effectiveness of these parameters and their combinations in predicting yarn properties were reported. The research results help cotton researchers and users to better select and use cotton depending on the end products (yarns).

Technical Abstract: Fiber length is one of the key properties of cotton and has important influences on yarn production and yarn quality. Various parameters have been developed to characterize cotton fiber length in the past decades. This study was carried out to investigate the effects of these parameters and their combinations on yarn properties. Linear regression models with different number of fiber length parameters and their combinations were developed for predicting ring and open-end (OE) spun yarns’ properties such as strength and irregularity. The R2 and Mallows’Cp plots of the models were compared for model selections. The results indicate that, for predicting a yarn property, a model usually involves more than three length parameters to achieve better prediction considering the R2 and Cp values. This may be due to that only one single length parameter cannot sufficiently represent fiber length characteristics. The results also show that the variations in fiber length distributions play important roles in predicting yarn properties such as strength and irregularity. Best prediction models for different yarns (ring, OE) properties include different combinations of length parameters. Not all yarn properties can be well predicted by linear regression models with length parameters, other fiber properties (strength, micronaire (Mic), etc.) need to be included to further improve the models.