Reinforcing Cotton Recycled Fibers for the Production of High-Quality Textile Structures DOI Open Access
Tiago Azevedo,

Ana Catarina Silva,

Gabriel Machado

и другие.

Polymers, Год журнала: 2025, Номер 17(10), С. 1392 - 1392

Опубликована: Май 19, 2025

The textile industry is under increasing pressure to adopt sustainable practices due the significant environmental impacts associated with fiber production, including high energy consumption, water usage, and substantial greenhouse gas emissions. recycling of waste, particularly cotton, a promising solution that has potential reduce landfill waste decrease demand for virgin fibers. However, mechanically recycled cotton fibers frequently demonstrate diminished mechanical properties compared fibers, which limits their high-quality applications. This study explores use cross-linking agents (citric acid (CA) sodium hypophosphite (SHP)), polymers (polyethylene glycol (PEG), chitosan (CH), carboxymethyl cellulose (CMC) starch (ST)), silicas (anionic (SA) cationic (SC)) enhance treatments were then subjected hierarchical ranking, effectiveness each treatment determined by its impact on enhancing tenacity. findings this research indicate most effective was starck (ST_50), resulted in an enhancement tenacity from 14.63 cN/tex 15.34 (+4.9%), closely followed CA-SHP_110/110, also reached (+4.6%). Other notable improvements observed CMC_50 (15.23 cN/tex), PEG_50 (14.91 CA_50 (14.89 all comparison control. In terms yarn quality, CA-SHP_110/110 yielded reductions irregularities, thin places, thick neps decreases 36%, 10%, 7%, respectively. Furthermore, exhibited moderate enhancements regularity, places (−12%), (−6.1%), (−8.9%). results combining CA SHP, when preceded heating before addition structural integrity, strength, overall quality approach offers viable pathway improvement performance thereby facilitating wider utilization products.

Язык: Английский

Machine Learning in Polymeric Technical Textiles: A Review DOI Open Access
Ivan Malashin,

Dmitry Martysyuk,

В С Тынченко

и другие.

Polymers, Год журнала: 2025, Номер 17(9), С. 1172 - 1172

Опубликована: Апрель 25, 2025

The integration of machine learning (ML) has begun to reshape the development advanced polymeric materials used in technical textiles. Polymeric materials, with their versatile properties, are central performance textiles across industries such as healthcare, aerospace, automotive, and construction. By utilizing ML AI, researchers now able design optimize polymers for specific applications more efficiently, predict behavior under extreme conditions, develop smart, responsive that enhance functionality. This review highlights transformative potential polymer-based textiles, enabling advancements waste sorting (with classification accuracy up 100% pure fibers), material (predicting stiffness properties within 10% error), defect prediction (enabling proactive interventions fabric production), smart wearable systems (achieving response times low 192 ms physiological monitoring). AI technologies drives sustainable innovation enhances functionality textile products. Through case studies examples, this provides guidance future research using technologies.

Язык: Английский

Процитировано

0
Reinforcing Cotton Recycled Fibers for the Production of High-Quality Textile Structures DOI Open Access
Tiago Azevedo,

Ana Catarina Silva,

Gabriel Machado

и другие.

Polymers, Год журнала: 2025, Номер 17(10), С. 1392 - 1392

Опубликована: Май 19, 2025

The textile industry is under increasing pressure to adopt sustainable practices due the significant environmental impacts associated with fiber production, including high energy consumption, water usage, and substantial greenhouse gas emissions. recycling of waste, particularly cotton, a promising solution that has potential reduce landfill waste decrease demand for virgin fibers. However, mechanically recycled cotton fibers frequently demonstrate diminished mechanical properties compared fibers, which limits their high-quality applications. This study explores use cross-linking agents (citric acid (CA) sodium hypophosphite (SHP)), polymers (polyethylene glycol (PEG), chitosan (CH), carboxymethyl cellulose (CMC) starch (ST)), silicas (anionic (SA) cationic (SC)) enhance treatments were then subjected hierarchical ranking, effectiveness each treatment determined by its impact on enhancing tenacity. findings this research indicate most effective was starck (ST_50), resulted in an enhancement tenacity from 14.63 cN/tex 15.34 (+4.9%), closely followed CA-SHP_110/110, also reached (+4.6%). Other notable improvements observed CMC_50 (15.23 cN/tex), PEG_50 (14.91 CA_50 (14.89 all comparison control. In terms yarn quality, CA-SHP_110/110 yielded reductions irregularities, thin places, thick neps decreases 36%, 10%, 7%, respectively. Furthermore, exhibited moderate enhancements regularity, places (−12%), (−6.1%), (−8.9%). results combining CA SHP, when preceded heating before addition structural integrity, strength, overall quality approach offers viable pathway improvement performance thereby facilitating wider utilization products.

Язык: Английский

Процитировано

0