Comparison of three-dimensional printed composite fabrics with different surface textures made with digital light processing and fused deposition modeling

Author:

Li Yongwei1,Sun Jingzhe1,Bae Jihyun1ORCID

Affiliation:

1. Human-Tech Convergence Program, Department of Clothing and Textiles, Hanyang University, Seongdong-gu, Korea

Abstract

There is increasing interest in the development of functional composite materials in the field of textiles/clothing, and 3D printing technology has been researched widely to allow practical applications. Previous studies have proposed solutions to improve the adhesion of composite fabrics produced by fused deposition modeling (FDM) technology, but analysis of the adhesion characteristics of fabric composites manufactured by digital light processing (DLP) is insufficient. In this study, the DLP method was used to print rectangular patterns on four textured fabrics (woven polyester (PET), Velour, Fleece, Pleated), peeling experiments and mechanical property tests were conducted on 3D-printed composite fabrics, and these results were compared with those of the FDM method to analyze adhesion based on the surface properties of the fabrics. For composite fabrics printed using the DLP method, a liquid photosensitive resin penetrates the fibers, resulting in greater adhesion of composite fabrics and accuracy of printed patterns than those prepared using FDM. The DLP-PET showed the best mechanical properties in all groups. This research verified that adhesion can be improved by the 3D printing method and the surface characteristics of the fabric and presents a new method to prepare composite fabrics with improved properties.

Funder

National Research Foundation of Korea

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,Materials Science (miscellaneous),Chemical Engineering (miscellaneous)

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