增材制造技术在服装设计中的材料创新与应用研究
Material Innovation and Application of Additive Manufacturing Technology in Clothing Design
于天硕1
作者信息
- 1. 吉林工业职业技术学院智能制造学院,吉林吉林 132013
- 折叠
摘要
文章详细探讨了增材制造技术(3D打印)在服装设计中的应用,特别是材料创新、设计创新以及面临的挑战与限制.首先介绍了几种 3D打印中使用的关键材料,包括聚乳酸(PLA)、聚酰胺(Nylon)、复合材料如碳纤维和玻璃纤维增强材料,以及智能材料如形状记忆合金和温度敏感材料等.这些材料在提高服装的功能性和美观性方面显示出巨大潜力.在设计创新方面,3D打印技术支持高度个性化的服装设计,实现复杂的结构设计,并促进可持续性设计,如使用生物降解材料减少环境影响.然而,技术面临的主要挑战包括材料种类有限、打印速度慢、尺寸限制和复杂的后处理工艺,这些限制了3D打印在服装行业的广泛应用和生产效率.总体而言,3D打印技术为服装设计和制造提供了创新的工具和方法,有望推动服装行业向更高自由度和可持续性方向发展.
Abstract
He application of additive manufacturing technology(3D printing)in clothing design was explored in datail,especially in terms of material innovation,design innovation,and the challenges and limitations faced.Several key materials used in 3D printing were introduced,including polylactic acid(PLA),polyamide(Nylon),composite materials such as carbon fiber and glass fiber reinforced materials,as well as smart materials such as shape memory alloys and temperature sensitive materials.These materials have shown great potential in improving the functionality and aesthetics of clothing.In terms of design innovation,3D printing technology supports highly personalized clothing design,achieving complex structural design,and promoting sustainable design,such as using biodegradable materials to reduce environmental impact.However,the main challenges faced by the technology include limited material types,slow printing speeds,size limitations,and complex post-processing processes,which limit the widespread application and production efficiency of 3D printing in the clothing industry.Overall,despite the challenges,3D printing technology provides innovative tools and methods for clothing design and manufacturing,which is expected to drive the industry towards higher degrees of freedom and sustainability.
关键词
增材制造技术/3D打印/聚乳酸/聚酰胺/复合材料/服装设计Key words
additive manufacturing technology/3D printing/polylactic acid/polyamide/composite material/clothing design引用本文复制引用
基金项目
吉林工业职业技术学院2024年度科学研究重点课题(24KY01KJZ)
出版年
2024
NETL
NSTL
万方数据