Correlation Research Between Uster^??? UT5 And HL400 Hairiness Testing

Yarn hairiness is the fibre that protruding end of the staple yarn.It exist in three different farms,including fibre ends,fibre loops and wild fibres.Hairiness,as one of the important indexes of evaluating the yam quality level,not only to the production process has a great influence,but also affect the appearance of the fabric and other performance.In order to improve the production process due to the impact of hairiness factors,and control long hairiness and hairiness variation.It is important for accurate measurement and evaluation of yam hairiness.The projection counting and diffuse reflectance method(photoelectric measure method)are now widely used of yarn hairiness detection technology after decades of development.Application of Zweigle HL400 hairiness tester developed by Uster technologies Co.,Ltd.is the projection counting method,which entered a new level of S3(?3mm the number of hairiness)testing;Evenness tester with the OH module of the USTER(?)TESTER 5 is the most advanced photoelectric hairiness testing system currently,the output result of hairiness testing is value H for Uster hairiness,which refers to all fiber length extend yarn body of the 1cm yarn.Two kinds of test instruments have USTER(?)Statistical bulletin system,which can directly reflect the quality level of the measured yam and is widely used in textile trade.This paper systematically studies two hairiness tester of USTER and come to relevant conclusions,providing the reference for the testing and evaluation of hairiness.(1)According to the bobbin and cone number,On UT5 and HL400 instrument yarn hairiness testing respectively.Using to the monadic linear regression model analyze the test data.Through the analysis of the data and the decision coefficient,determine the overall situation of the sample curve fitting.And the test data according to the ring spinning,compact spinning,siro-spinning for sorting.(2)Bivariate correlation analysis method was performed between the number of hairiness and Uster hairiness index.In the compact spinning yarn,S3 variable and the correlation of hairiness index H is best.Ring yarn hairiness number and hairiness index H only a little correlation,and Siro-spinning yam hairiness number and hairiness index correlation is very poor.(3)Using to regression analysis method to establish the regression model of different yarn.Using to monadic regression model analysis of the hairiness number and Uster hairiness index fitting relationship.And got fitting curve model of compact yarn.Analysis of correlation between dependent variable and independent variables,and established Multiple regression model.According to the correlation coefficient and the specific situation of the model analysis is most suitable for fitting the independent variables and fitting equation.Results showed that only the S3 and compact yarn hairiness index H fitting is good.(4)Using of ring spun combed and carded two kinds of yarn test data,analysis the HL400 testing stability.Analysis of hairiness variation coefficient CV value,standard deviation,and 95%confidence interval range.Combined with the Uster statistical,indicating that the stability test system of HL400 hairiness tester.And ensure reasonable front data analysis.According to the analytical results of two hairiness testing system of Uster,I got the regression model between the number of hairiness of compact yarn S3 and the hairiness value H of USTER.A correlation of two test results between the ring spinning and siro-spinning is not good,which cannot get better fitting model relatively.