Design and characterization of dynamic textiles with optimized ergonomic comfort for automotive seat upholstery

Author:

González Judit123ORCID,Ardanuy Mònica2,González Marta3,Rodriguez Rosa1,Jovančić Petar14

Affiliation:

1. Unitat de Teixits Funcionals, Eurecat Centre Tecnològic de Catalunya, Mataró, Spain

2. Materials Science and Engineering Department, Universitat Politècnica de Catalunya, Barcelona, Spain

3. Department of Materiales, Elisava, Barcelona School of Design and Engineering (UVic-UCC), Barcelona, Spain

4. Textile Engineering Department, Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia

Abstract

According to recent studies, user comfort is one of the major challenges faced regarding the vehicle seating. The outer upholstery layer of the seat cover is the main factor contributing to overall user discomfort in the driving environment. This is related to the limitations of the conventional fabrics used. Therefore, alternative textile materials for seat covering are being increasingly sought out. In this work, we propose innovative shape memory-based seat covering fabrics offering improved comfort properties. Shape memory polyurethane (SMPU) multifilament yarns were combined with polyester (PES) yarns to produce three types of woven fabrics having the typical structures used in seat coverings (plain, twill 2/2 and derived twill) using a fixed warp and weft ratio of 3PES:1SMPU. The effects of SMPU yarns on the physical characteristics of the fabrics (thickness, areal weight, yarn density, and tightness) as well as on their mechanical behavior, shape memory effect, thermal comfort, and abrasion resistance under similar usage conditions in car seat covers were investigated. Improvement was observed in the ergonomic comfort with maintained thermal comfort in the presence of SMPU multifilament yarns, with this effect being more noticeable in the twill fabrics. The thermodynamic SMPU-based fabrics used in this study could be potential candidates for use in seat upholstery given the improvement in user comfort over extended use.

Funder

Catalan Government

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3