Influence of Yarn and Fabric Properties on Mechanical Behavior of Polymer Materials and Its Retention over Time

Author:

Salopek Čubrić Ivana1ORCID,Čubrić Goran2ORCID

Affiliation:

1. Department of Textile Design and Management, University of Zagreb Faculty of Textile Technology, Prilaz baruna Filipovića 28 a, 10000 Zagreb, Croatia

2. Department of Clothing Technology, University of Zagreb Faculty of Textile Technology, Prilaz baruna Filipovića 28 a, 10000 Zagreb, Croatia

Abstract

The mechanical properties of textile materials play a crucial role in determining their comfort, functionality, performance, safety, and aesthetics. Understanding and optimizing these properties is essential to meet consumer demands. Key aspects of mechanical properties, such as surface roughness, abrasion resistance, and compression, have a significant impact on the touch and durability of the material, as demonstrated by various research studies. This study focuses on analyzing the mechanical properties of materials produced of different polymer yarns and their changes under combined aging factors. The findings emphasize the significance of textile abrasion resistance and surface roughness measurement, particularly for aged materials. Although the use of recycled polyester yarn is sustainable and offers advantages such as higher tensile strength, the results have shown that the use of conventional polyester yarn is more advantageous overall as it has higher abrasion resistance, a smoother surface texture, and better elasticity retention after aging. The insights presented are vital for designing high-performance sportswear, which is crucial in today’s competitive environment.

Funder

Croatian Science Foundation

Publisher

MDPI AG

Reference31 articles.

1. Image Analysis Method of Surface Roughness Evaluation;Militky;Int. J. Cloth. Sci. Technol.,2007

2. Surface Roughness Evaluation of Textile Fabrics: A Literature Review;Mooneghi;J. Eng. Fiber. Fabrics,2014

3. Sensory attributes of knitted fabrics intended for next-to-skin clothing;Majumdar;J. Text. Inst.,2023

4. Assessment of Knitted Fabric Smoothness and Softness Based on Paired Comparison;Perry;Fibers Polym.,2019

5. Color appearance shifts depending on surface roughness, illuminants, and physical colors;Chae;Sci. Rep.,2022

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