Machine Learning in Polymeric Technical Textiles: A Review

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

Machine Learning for Predicting Fiber-Reinforced Polymer Durability: A Critical Review and Future Directions

Composites Part B Engineering, Год журнала: 2025, Номер 303, С. 112587 - 112587

Опубликована: Апрель 30, 2025

Язык: Английский

Review of Lignocellulosic Fiber Reinforced Polymer Composites for Sustainable Automotive Applications

Fibers and Polymers, Год журнала: 2025, Номер unknown

Опубликована: Май 21, 2025

Язык: Английский