USE SINE FUNCTION TO PREDICT MODEL FOR KNITTED FABRIC IRREGULARITY BASED ON YARN IRREGULARITY FOR 14NE POLYESTER/VISCOSE (65/35) YARN
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 3)Publication Date: 2015-03-30
Authors : Ishag Abass Ibrahim; Salah A elateef;
Page : 264-269
Keywords : : Irregularity; Evenness; Variation; Mass variations; Spectrogram; Knitted fabric.;
Abstract
This study was carried out in order to predict the knitted fabric irregularity based on yarn irregularity. Using the Uster statistics of yarn mass irregularity, the knitted fabric specifications were determined. In order to build up a theoretical model, the sine function of the Non-linear regression function was applied for 14Ne polyester/viscose (65/35) yarn using the Orign program. The sine function was chosen because it shows the best fitting results compared with the different functions. The result obtained from the proposed model shows a high correlation and good significant. Furthermore, the results obtaining using the Non-linear regression equations shows optimal correlation with experimental results for yarn used in this study.
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Last modified: 2015-04-03 21:01:57