4690

4417

كارشناسي ارشد

تكنولوژي نساجي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده نساجي

1387

دوازده،[86]،[II]ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

داريوش سمناني، محمد شيخ زاده

88/7/14

محمد قانع، فريد شيخ الاسلام

مهندسي نساجي

ID4417

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Investigation of abrasion resistance of hybrid yarns with different structure through artificial intelligence Mehdi Gholipour m gholipour@tx iut ac ir Date of Submission 2 18 2009 Department of Textile engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisors Dariush Semnani d semnani@cc iut ac irMohammad sheikhzadeh m sh110@cc iut ac irAbstract Abrasion resistance is one of the most important properties of textiles especially in the apparel industry Hybrid yarn is a component yarn that regarding its structural properties has many adequate usages In this research the hybrid yarns in different structure were utilized The cotton yarn in count of 20Ne and30Ne cotton Polyester yarns in the same count in the pressure of 20 40 and 60 Bar were commingled by flatand textured polyester yarn in count of 150 denier Subsequently the produced hybrid yarns were contactedby an abrader object in four stages that each one included 150 cycles After each stage some images wereprepared Through image analyzing technique the effect of abrasion procedure on yarn was investigated andthe abrasion indexes were calculated Then through kohonen net the yarns were clustered in 5 classes as pertheir abrasion resistance from excellent to weak Results show that the cotton polyester yarn in count of 30Ne the produced hybrid yarn from cotton30 andtextured polyester yarn in 20 40 and 60 Bar and the hybrid yarn that is made by cotton polyester 30 and flatpolyester yarn in 60 Bar categorize in the best class It seems by increasing the pressure the contact between the hybrid yarns structure be increased and theabrasion resistance increases Also cotton yarn and textured polyester yarn provide the best conditions Key Words Abrasion resistance Hybrid yarns Image processing Artificial Intelligence

داريوش سمناني، محمد شيخ زاده

محمد قانع، فريد شيخ الاسلام