Socks, which are a necessary item of clothing, need to be comfortable, affordable, and retain their quality throughout their life. Dimensional stability is one of the basic requirements of socks. The purpose of this study is to investigate the contributing factors, that is, elastane percentage, main yarn material, and process type on dimensional stability of socks. Four different percentages of elastane in plaiting yarn (4%, 6%, 8%, and 10%), two main yarns materials (100% cotton and polyester/cotton 52/48), and two process types (wash and bleach) were taken as level of input variables to study the effect on dimensional stability of socks using full-factorial experimental design method. Statistical tool (analysis of variance) was used to check the significant effect of different factors. It was found that with the increase in elastane percentage, shrinkage was decreased. Cotton was found to have more shrinkage percentage as compared to polyester/cotton. In addition, it was observed that washing treatment produced significantly lesser shrinkage than bleaching. These data present a great interest to sock manufacturers who can make better choices to manufacture, dimensionally stable socks.
The research aims the development of knitted reinforcement structures for inducing self-diagnostic properties into knitted reinforced composites for structural health monitoring. Conductive carbon fiber was used in knitted inlaid structures as inlay yarns, and l × 1 Rib knitted base fabric of polyester filament yarn was used for knitting. The reinforcement’s conductive nature induced self-diagnostic properties into composites using correlation of mechanical damages and changes in electrical resistance values. Single and double stimuli layers and inlay patterns of 3 × 1, 6 × 1 and 9 × 1 was used to check their impact on self-diagnostic properties. Mechanical testing and real-time electrical resistance monitoring proved knitted structures as a solution to induce self-diagnostic properties into composite materials. Composites having double stimuli (conductive) layers exhibited better self-diagnostic properties than single stimuli layer composites, and the self-diagnostic properties also improved as the inlay pattern of reinforcement moved from 9 × 1 to 6 × 1 and 3 × 1 inlay. Such knitted reinforced self-diagnostic composites could be practically used in structural health monitoring applications, e.g., complicated structures of large buildings infrastructures and machinery which require record of each minor happening with structures to keep smooth and successful running of the system.
The study was aimed to develop a knitted denim fabric and investigate its properties. The said fabric has similar visualappearance to the woven denim fabric, offering additional stretch properties. The twill effect was produced on circularknitting machine using cross terry structures. Woven denim fabric was also produced to compare its properties withknitted denim. The Physical and comfort properties of these fabrics like air permeability, thermal resistance and moisturemanagement, were investigated. Experimental investigation of serviceability i.e Pilling was also carried out. The purposeof study is to compare both woven and knitted denim fabric properties.
Knitted fabrics are renowned for stretch properties which owe to their comfort properties such as formability, fitting to the human body and shape retention after wearing. Optimum stretch is basic requirement in knitted socks to support blood flow in legs and feet. This stretch is achieved with fabric structure type and material used in it. Different factors affect the stretch and recovery of sock, but most contributing factors are elastane percentage, main yarn material and finishing process type. Four different percentages of elastane in plaiting (4%, 6%, 8% and 10%), two main yarns materials (Cotton and Polyester/Cotton PC), and two finishing process types(Wash and bleach) were taken as level of input variables to study their effect on stretch and recovery. Stretch and recovery tests were performed on knitted sock tube. After testing, Minitab software was used for analysis of variance of obtained results using full factorial design. Significance of all factors and levels was analyzed. It was found that with the increase in elastane percentage stretch was decreased and recovery was increased. Cotton was found to have less stretch and more recovery percentage as compared to PC. Additionally it was observed that washing treatment produced significantly higher stretch and lesser recovery than bleaching. Similar trend was also observed in interaction plot indicating that all variables were dependent on each other.
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