AI Summary & Key Takeaways
AI InsightFurthermore, these differences are statistically significant when their effects are taken together.
📌 3 Key Takeaways
Abstract
Polypropylene (PP) is a versatile and widely used polyolefin polymer with outstanding properties such as low density, easy processability, lower cost, low melting point, etc. Properties of the polymer, fiber cross-section and process parameters have an important influence on the filament yarn properties. In this study, PP filament yarns as C-shaped and round cross-sectional shapes were produced with five different drawing ratios by using CF and BCF yarn types. We focused on changes of yarn test results (linear density, tenacitybreaking elongation, shrinkage in boiling water and the amount of spin finish lubricants) with the effect of drawing ratios, cross-sectional shapes and yarn types (CF and BCF). The findings from this study make several contributions to the current literature. We found that drawing ratios, cross-sectional shape and yarn types are effective on the testing results separately. Furthermore, these differences are statistically significant when their effects are taken together.
Özet
Polypropylene (PP) is a versatile and widely used polyolefin polymer with outstanding properties such as low density, easy processability, lower cost, low melting point, etc. Properties of the polymer, fiber cross-section and process parameters have an important influence on the filament yarn properties. In this study, PP filament yarns as C-shaped and round cross-sectional shapes were produced with five different drawing ratios by using CF and BCF yarn types. We focused on changes of yarn test results (linear density, tenacitybreaking elongation, shrinkage in boiling water and the amount of spin finish lubricants) with the effect of drawing ratios, cross-sectional shapes and yarn types (CF and BCF). The findings from this study make several contributions to the current literature. We found that drawing ratios, cross-sectional shape and yarn types are effective on the testing results separately. Furthermore, these differences are statistically significant when their effects are taken together.