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Selection of raw material parameters for multi-response optimization of cotton yarn qualities

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Title Selection of raw material parameters for multi-response optimization of cotton yarn qualities
 
Creator Das, Subhasis
Ghosh, Anindya
 
Subject Cotton fibre
Desirability function
Fibre properties
Genetic algorithm
Support vector regression
Yarn quality
 
Description 311-317
In this work, a multi-response optimization of cotton yarn quality using desirability function approach has been
attempted. Being a natural product, cotton yarn qualities are primarily governed by raw material characteristics. This work
aims to resolve the complexity of simultaneous optimization of raw material properties using a hybrid multi-response
optimization model, where predictive power of support vector regression and optimization capability of genetic algorithm
are employed with desirability function. The individual desirability of cotton fibre qualities is assessed from the six
properties, such as fibre strength, elongation, fineness, upper half mean length, uniformity index and short fibre content. The
yarn quality parameters, such as yarn strength, yarn elongation, hairiness and unevenness, are combined together to express
overall desirability. The optimum cotton quality parameters essential to produce good quality yarn can be determined from
the proposed multi-response optimization model.
 
Date 2024-10-09T07:32:43Z
2024-10-09T07:32:43Z
2024-09
 
Type Article
 
Identifier 0975-1025 (Online); 0971-0426 (Print)
http://nopr.niscpr.res.in/handle/123456789/64702
https://doi.org/10.56042/ijftr.v49i3.1185
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJFTR Vol.49(3) [September 2024]