Research on Intelligent Soft Outfit Design Based on Experience Innovation of Unconventional Fiber Materials
In the Case of Designs in a Poverty Alleviation Action by the Team
Authors
Shun Tian1, *
1School of Innovation Design, Guangzhou Academy of Fine Arts, 168 Waihuan West Street, Guangzhou, China
*Corresponding author.
Email: 645962382@qq.com
Corresponding Author
Shun Tian
Available Online 17 December 2022.
- DOI
- 10.2991/978-94-6463-046-6_89How to use a DOI?
- Keywords
- Unconventional Fiber Materials; Experience Innovation; Intelligent Soft Outfit Design; Machinery And Automation; Supply-Side Optimization
- Abstract
Starting from the design and development of intelligent soft outfits, this paper focuses on experiments such as optical fiber performance index determination experiment, optical fiber laser processing experiment, the composition ratio of recycled pulp fiber experiment, yam dyeing on different materials experiment, and analyzes the methods and theory of combining unconventional fiber materials with machinery and automation technology, under the different types of experience innovation.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shun Tian PY - 2022 DA - 2022/12/17 TI - Research on Intelligent Soft Outfit Design Based on Experience Innovation of Unconventional Fiber Materials BT - Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) PB - Atlantis Press SP - 780 EP - 791 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-046-6_89 DO - 10.2991/978-94-6463-046-6_89 ID - Tian2022 ER -