Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques

Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques

Abstract This study explores optimizing the production of 100% polyester spun yarn by analyzing key drawing frame variables, such as break draft, total draft, back roller gauge, and front roller gauge, using a systematic and algorithmic approach. Response Surface Methodology (RSM) was employed to de...

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Bibliographic Details
Main Authors: Mohsen Rezahasani, Habib Amiri Savadroodbari, Milad Razbin, Majid Safar Johari
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Drawing frame
Polyester spun yarn
Response surface methodology
Artificial neural network
Genetic algorithm
Online Access:https://doi.org/10.1038/s41598-025-03941-5
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https://doi.org/10.1038/s41598-025-03941-5

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