The Prediction of Tear Strength of plain weave fabric Using Linear Regression Models |
( Vol-3,Issue-11,November 2016 ) OPEN ACCESS |
Author(s): |
Hisham E Eltayib, Akram H M Ali, Isam A Ishag |
Keywords: |
Tear strength, yarn count, fabric linear density, warp, weft, regression coefficient. |
Abstract: |
The aim of the study is to predict the tear strength of plain weave fabric by knowing the yarn count, yarn tensile strength and the fabric linear density. A total of nine fabric samples (produced of three different yarn counts which were 36.88, 29.50 and 9.83 tex) were produced in deferent densities at weft direction which were 4.33, 7.08 and 8.26 threads per cm, while the density was fixed at the warp direction in 9.84 ends per cm . Tensile strength was tested for these fabrics at warp and weft direction. The results were analyzed and incorporated in the Min-Tab program and the development of regression coefficients and correlation between variables to obtain equations to predict the tear strength at warp and weft direction. |
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Advanced Engineering Research and Science