بهينه سازي مقاومت ضربه پارچه هاي حلقوي پودي نايلون 6،6 فوق مستحكم با استفاده از الگوريتم ژنتيك

چكيده انگليسي :

Optimization the impact resistance of weft knitting fabrics from high tenacity nylon 6 6 using genetic algorithm Farshad hassani f hassani@tx iut ac ir Monday July 8 2013 Department of textile engineering Isfahan University of Technology Isfahan 84156 83111 Iran Dariush semnani D semnani@cc iut ac ir abstract The aim of present research is evaluation of impact resistance for commonly used weft knitted fabrics High are of importance When a projectile impacts a fabric a force is exerted on the projectile by the fabric which reduces its velocity At the same time the fabric is deformed Strain waves originating from the impact region propagate along yarns toward the fabric edges where they are weft knitted fabrics is related to stitch elements and stitch density which affect on fabric mechanical properties improvement of mechanical properties in the through the thickness direction Knitted fabrics are one of the textile fabrics that are gaining interest because of the excellent drapability of knitted fabric and hence the possibilities for near net shape oriented not only in the in plane directions but also in the thickness direction the through the thickness various samples of weft knitted fabric have been produced in different pattern and densities and mechanical properties for whole samples have been measured specially strength work up rupture and impact resistance in course and wale directions The experiments have demonstrated that structures of more knit elements could resist against slow impacts and they might have more work of rupture Also it has been found that fabrics with structures of more skip elements could resist against sharp impacts Artificial neural networks ANNs are information processing mechanisms that consist of a large number of densely interconnected simple computational elements which have been studied for many years in the hope of achieving human brain like performance in a digital computer The back propagation neural network BPANN has been used to predict the mechanical properties of nylon 6 6 weft knitted fabrics based on fabric structures as fitness function using in genetic algorithm The genetic algorithm GA have been applied to fined optimum fabrics according to structural parameters Genetic algorithms are adaptive methods which may be used to solve search and optimization problems They are based on the genetic processes of biological organisms G As use a direct analogy of natural behavior They work with a population of individuals each representing a possible soulution to a given problem finally The results have been shown that the optimum fabric could be made with more skip elements in structure lower loop length and more compact density Key words Optimization impact weft knitting Genetic Algorithm PDF created with pdfFactory trial version www pdffactory com

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بهينه سازي مقاومت ضربه پارچه هاي حلقوي پودي نايلون 6،6 فوق مستحكم با استفاده از الگوريتم ژنتيك