Abstract
Prognosis of Dimensional Stability and Mass per Unit Area of Single Jersey Cotton Knitted Fabric with Fuzzy Inference System
Highlights
Knitted fabrics are generally a combination of a series of knitted loops which are readily perverted during its manufacturing process
It has been reported in a few studies that though the types of yarn like ring or compact yarn do not have a significant effect on shrinkage, the presence of elastomeric yarn and/ or tightness factor, yarn count and stitch length can have a great influence on dimensional properties [6–8]
The linguistic expression and membership function of stitch length, yarn count and overfeed percentage found from the established rules and the formula above is presented in equations below [31, 32, 37]:
Summary
Knitted fabrics are generally a combination of a series of knitted loops which are readily perverted during its manufacturing process. The research of dimensional behaviour of weft knit ramie, cotton and viscose fabrics conducted by Li et al [5] reveals that the loosely knitted fabrics of hydrophilic fibres, including cotton and viscose, undergo progressive shrinkage in the vertical (wale) dimension and progressive stretch in the horizontal (course) dimension It has been reported in a few studies that though the types of yarn like ring or compact yarn do not have a significant effect on shrinkage, the presence of elastomeric yarn and/ or tightness factor, yarn count and stitch length can have a great influence on dimensional properties [6–8]. The fuzzy expert system implementation is easier than other models, since it can execute the modelling operation with a small amount of experimental data in the non-linear, imprecise, vague, trial-error and complex textile domain [22–25, 31–33] In this current research, the predictions of mass per unit area and shrinkage properties of a plain cotton knitted fabric were performed by constructing a fuzzy knowledge-based model as it is more userfriendly, of low design cost and applicable
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