İsmail Ti̇yek, Emrah Kaçmaz, M. Yazici, Mahmut Kilinçkiran
{"title":"熔体流动指数和重量变化对聚丙烯纺粘织物强度性能影响的统计分析","authors":"İsmail Ti̇yek, Emrah Kaçmaz, M. Yazici, Mahmut Kilinçkiran","doi":"10.32571/ijct.735747","DOIUrl":null,"url":null,"abstract":"Spunbond method is widely used in the production of nonwoven fabrics. Melt flow index (MFI) is one of the most important polymer processing parameters. In this paper, tensile strength and elongation values of spunbond fabrics with four different weights produced from polypropylene polymers with two different MFI values were measured. Tensile strength tests were analyzed by two-way multiple variance analysis (Two-Way Manova) in the SPSS statistical package program, and the effects of MFI and weight values on the strength properties of spunbond textile surfaces were examined. As a result of the statistical analysis, it was observed that statistically significant differences (p 0.05).","PeriodicalId":267255,"journal":{"name":"International Journal of Chemistry and Technology","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Statistical analysis of the effect of melt flow index and weight changes on strength properties of polypropylene spunbond fabrics\",\"authors\":\"İsmail Ti̇yek, Emrah Kaçmaz, M. Yazici, Mahmut Kilinçkiran\",\"doi\":\"10.32571/ijct.735747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spunbond method is widely used in the production of nonwoven fabrics. Melt flow index (MFI) is one of the most important polymer processing parameters. In this paper, tensile strength and elongation values of spunbond fabrics with four different weights produced from polypropylene polymers with two different MFI values were measured. Tensile strength tests were analyzed by two-way multiple variance analysis (Two-Way Manova) in the SPSS statistical package program, and the effects of MFI and weight values on the strength properties of spunbond textile surfaces were examined. As a result of the statistical analysis, it was observed that statistically significant differences (p 0.05).\",\"PeriodicalId\":267255,\"journal\":{\"name\":\"International Journal of Chemistry and Technology\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Chemistry and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32571/ijct.735747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Chemistry and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32571/ijct.735747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical analysis of the effect of melt flow index and weight changes on strength properties of polypropylene spunbond fabrics
Spunbond method is widely used in the production of nonwoven fabrics. Melt flow index (MFI) is one of the most important polymer processing parameters. In this paper, tensile strength and elongation values of spunbond fabrics with four different weights produced from polypropylene polymers with two different MFI values were measured. Tensile strength tests were analyzed by two-way multiple variance analysis (Two-Way Manova) in the SPSS statistical package program, and the effects of MFI and weight values on the strength properties of spunbond textile surfaces were examined. As a result of the statistical analysis, it was observed that statistically significant differences (p 0.05).