Open AccessPredicting the fabric width of single jersey cotton knitted fabric using appropriate software
Author(s) -
I. Bhuvaneshwarri,
A. Tamilarasi
Publication year - 2019
Publication title -
industria textilă
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 14
ISSN - 1222-5347
DOI - 10.35530/it.070.06.1597
Subject(s) - yarn , shrinkage , raw material , engineering , structural engineering , composite material , materials science , mechanical engineering , chemistry , organic chemistry
Prediction of any property of the material has attracted the attention of many scientists all over the world in order toproduce better products. Information Technology (IT) field has many applications and plays dominant role in theproduction of various products in the industry. Knitted fabric should satisfy a number of requirements of consumer. Fabricwidth is a very important property which affects knitted fabric comfort properties. The deviation from the fabric width willeither lead to more consumption of raw material or affect profit of the company. Hence, controlling the width of the fabrichas an adverse effect on company’s profit and usage of raw materials. An investigation of the prediction of the width ofthe single jersey cotton knitted fabric in a fully relaxed state using Data mining technique in Rough set Computationalbased Priority Prediction Model (RCPPM) is reported. The inputs were yarn count, machine diameter, required GSM,machine gauge, actual yarn count, lea weight, lea strength, twist multiplier, loop length, course per cm, wales per cm,length shrinkage, width shrinkage, and fabric width. The real-time textile dataset consisted of 7,505 single jersey cottonknitted fabric samples. The results showed that the fabric width obtained by using aforesaid model was found to yieldvery accurate values and compared favourably with the measured ones. This study will lead to the production of theknitted fabric with better comfort and dimensional stability.