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Regression model development for showing relation between mechanical yarn stretch (%) in sizing and Warp yarn breakage (cmpx) in looms using ANOVA model

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Document pages: 10 pages

Abstract: Mechanical yarn stretch ( ) in sizing process is amongst one of the process control parameters affecting warp yarn breakages in looms. This study tries to develop a model showing the relation between mechanical yarn stretch percentages with warp yarn breakages in loom shed. For that experimentation is done in Bahir Dar textile sh. Company weaving mill using cotton yarn of 20’s used for making of 20’s*20’s 24*24 (threads cm) of fabric particulars or bed sheet article. For sizing, maize starch is used & the main sizing parameter measurements have been kept equal other than mechanical yarn stretch percentage, having four different levels of treatments taken randomly. These differently treated4 weavers’ beams are loaded on 4 picanol air-jet looms having same loom settings and monitored by same weaver group. The loom-shed is kept to have an R.H of 60 and temperature of 24oc. The experimentation follows a single factor ANOVA with 4 levels of mechanical yarn stretch percentages and 10 replicates. Using significance level of α = 0.05, the experimentation shows mechanical yarn stretch percentage significantly affects the warp yarn breakages in looms. For comparing pairs of treatment means that significantly differs, a multiple comparison method is used. Other than treatment means between the first and second level of treatments, the rest pairs of treatment means are significantly different. From the experiment, a correlation coefficient (R2) of 84.4 is computed. In this study, plot for predicted versus residual value is also made, which shows the model is adequate and fitting.

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