Development of O.E. Yarn Quality Translation Equations with Selected Physical Parameters Based on the Cotton Properties

• Main Authors: K. C. Yang, 楊冠祺
• Other Authors: K. B. Cheng
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/08324053586835123783

碩士 === 國立臺北科技大學 === 有機高分子研究所 === 92 === Blend conditions could be affected the yarn quality and cotton fiber cost directly so as to the blend condition become a major factor in short staple spinning mill. Due to the high volume instrument (HVI) developed rapidly, it provided the fast, precision and quantitative analysis results for the cotton fibers. In the past year, the cotton blend method based on experience subjectively, it cannot provide objective and quantitative index for the yarn quality. HVI spectrum instrument of Uster to measure the physical properties of the raw cotton were used in this paper firstly which be selected as the basis for spinning parameters. However, the quality of O.E. rotor yarn measured by tester used as the quality parameter on the O.E. rotor spinning process. According to correlation analysis to sieve significant related physical properties, then employed to develop translation equation between HVI value and the lea strength of the O.E. rotor yarn. Finally, evaluate the reliability, accurately, and confidentially translation equation by the analysis of variance (ANOVA). So as to develop a translation equation successfully which can be suitable evaluate and predict for the lea strength of O.E. coarse yarn with Ne 7/S -12/S. Otherwise, the method of cotton blending could be established easily, quantitatively, objectively to predict the O.E. rotor yarn lea strength from HVI properties. Furthermore, the target of decrease the raw material cost and raised up product profit could be achieved. By results of experimentation, according a few important HVI values to establish the equations of O.E. yarn lea strength, and coefficient of variation, and hairiness, and imperfections, and O.E. slub yarn lea strength. All of results have a median to high correlations. And the most samples can be getting in 95% believable places. So that can offer good references in blending materials. On the analysis of differentiate and classification, use a few important HVI values and yarn qualities to be variables. Thus can get a remarkable distinction.