Study on the Influences about the Properties of Materials and Bonding Temperatures to the Size Specifications of Ready Made Clothes
|Course||Fashion Design and Engineering|
|Keywords||Heat shrinkage rate Correlation Regression analysis|
Garment production process , performance fabrics , linings performance and the production process have a significant impact on garment specifications . In order to ensure the accuracy of the specifications of the garments , and improve the quality of the appearance of clothing , necessary to study the material properties , the production process of garment specifications . Performance of materials , production process contains a very wide range . In this study, the impact on the fabric heat shrink rate performance , the adhesive temperature as the starting point , the performance of the research material , the bonding temperature of the the fabric heat shrink rate . This study selected four kinds of fabrics , three kinds of underlayment as experimental material . Determined by the fineness of the fabric warp and weft yarns , Jingwei density fabric , standard moisture regain elongation performance indicators measured underlayment standard moisture regain , shrinkage , and other performance indicators : use of KES fabric style instrument stretch fabric properties, shear properties , flexural properties, compression properties and surface friction performance test ; measured the fabric not Fusing Fusing state heat shrinkage rate of the meridional heat shrink rate and zonal . Statistical analysis using Excel and SPSS10.0 statistical software for the variation of the heat shrinkage rate and related factors . The results show that under the same temperature conditions , regardless of the sticky lining or no sticky lining , fabric by heat shrinkage rate is greater than the the zonal heat shrink rate ; heat shrinkage rate of chemical fiber fabrics shrink much higher than other fabrics ; fabric meridional heat shrinkage rate , the zonal heat shrink rate is basically with the ironing temperature rise increases ; underlayment types of heat shrinkage rate significantly . The rate of heat shrinkable fabric elongation , tensile power and were significantly correlated . On this basis , select significant variables as regressors , establish a regression equation of the predicted the fabric heat shrink rate to the heat shrinkage rate forecast more scientific , and to provide a reference for the production of garment enterprises .