Employing response surface methodology in the production of sustainable PC yarn from recycled polyester and recycled cotton

The textile sector has been rapidly shifting toward recycled fibers, propelled by the growing ecological concerns, compliance requirements of the circular textiles strategy, volatile virgin‐fiber prices, and a growing demand from eco-aware consumers for sustainable clothing. In light of these trends, this study aims to create eco-friendly and sustainable polyester-cotton (PC) yarns by optimizing the use of recycled fibers. Specifically, the research replaces virgin polyester entirely with recycled polyester and incorporates recycled cotton to reduce reliance on virgin cotton. An I-optimal mixture design, a component of Response Surface Methodology (RSM), was applied to determine the ideal blend ratio of recycled polyester, recycled cotton, and virgin cotton while satisfying the desired yarn strength and elongation required for fabric production. The design expert software recommended sixteen experimental runs with distinct blend ratios. The responses (quality parameters) of the sample yarns were evaluated, and regression analysis along with ANOVA was conducted to develop predictive models and response surface equations for each response. The analysis identified an optimal fiber blend consisting of 70% recycled polyester, 18% recycled cotton, and 12% virgin cotton. Yarns produced using this optimized composition exhibited properties closely aligning with the predicted values, thereby validating the effectiveness of the I-optimal mixture design in optimizing fiber blends and reliably forecasting yarn characteristics. • Maximal utilization of recycled polyester as an alternative to virgin polyester in yarn • Maximal utilization of recycled cotton to reduce the environmental strain derived from the cultivation and processing of virgin cotton • Employed I-optimal mixture design software to predict the optimized formulation of mixture components while ensuring the desired properties of yarn • A sustainable approach to utilize recycled polyester and recycled cotton together in yarn

Authors

Institutions

Publication Details

Journal
Cleaner Waste Systems
Published
2025-10-04
DOI
https://doi.org/10.1016/j.clwas.2025.100421
Citations
3
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employing response surface methodology in the production of sustainable PC yarn from recycled polyester and recycled cotton

Md. Bashar Uddin, Rabiul Islam, Mohammad Rashel Hawlader, Ahmed Jalal Uddin
3 citations
Cleaner Waste Systems
Textile materials and evaluations
1.82
article

Employing response surface methodology in the production of sustainable PC yarn from recycled polyester and recycled cotton

Md. Bashar Uddin, Rabiul Islam, Mohammad Rashel Hawlader, Ahmed Jalal Uddin
article en
3 citations

Abstract

The textile sector has been rapidly shifting toward recycled fibers, propelled by the growing ecological concerns, compliance requirements of the circular textiles strategy, volatile virgin‐fiber prices, and a growing demand from eco-aware consumers for sustainable clothing. In light of these trends, this study aims to create eco-friendly and sustainable polyester-cotton (PC) yarns by optimizing the use of recycled fibers. Specifically, the research replaces virgin polyester entirely with recycled polyester and incorporates recycled cotton to reduce reliance on virgin cotton. An I-optimal mixture design, a component of Response Surface Methodology (RSM), was applied to determine the ideal blend ratio of recycled polyester, recycled cotton, and virgin cotton while satisfying the desired yarn strength and elongation required for fabric production. The design expert software recommended sixteen experimental runs with distinct blend ratios. The responses (quality parameters) of the sample yarns were evaluated, and regression analysis along with ANOVA was conducted to develop predictive models and response surface equations for each response. The analysis identified an optimal fiber blend consisting of 70% recycled polyester, 18% recycled cotton, and 12% virgin cotton. Yarns produced using this optimized composition exhibited properties closely aligning with the predicted values, thereby validating the effectiveness of the I-optimal mixture design in optimizing fiber blends and reliably forecasting yarn characteristics. • Maximal utilization of recycled polyester as an alternative to virgin polyester in yarn • Maximal utilization of recycled cotton to reduce the environmental strain derived from the cultivation and processing of virgin cotton • Employed I-optimal mixture design software to predict the optimized formulation of mixture components while ensuring the desired properties of yarn • A sustainable approach to utilize recycled polyester and recycled cotton together in yarn

Cleaner Waste SystemsVol. 12
Ahsanullah University of Science and Technology (BD), Bangladesh University of Textiles (BD)
Openalex Percentile: Top 14%
Textile materials and evaluations
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.