| Issue |
E3S Web Conf.
Volume 670, 2025
2nd International Conference on the Agro-Environmental Nexus: Land, Water & Energy for Sustainable Development (IC-AEN 2025)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 11 | |
| Section | Environmental Engineering and Pollution Control for Agri-Food Chains | |
| DOI | https://doi.org/10.1051/e3sconf/202567004010 | |
| Published online | 01 December 2025 | |
Modeling for sustainable and eco-friendly digital textile manufacturing
M. Auezov South Kazakhstan Research University, Shymkent, Kazakhstan
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study explores the role of artificial intelligence (AI) and mathematical modeling in enhancing sustainability and reducing the environmental footprint of digital textile manufacturing. Special attention is given to AI-driven multiscale modeling, geometric simulations, and mechanics-based fabric movement analysis, which optimize material efficiency and minimize waste. The research highlights how AI-powered virtual clothing design and digital textile production contribute to lower energy consumption, reduced water usage, and minimized chemical waste in the fashion industry. By integrating AI into sustainable manufacturing processes, the fashion industry can transition towards more responsible and resource-efficient production methods. This paper provides both theoretical insights and practical applications demonstrating AI's potential in achieving the Sustainable Development Goals (SDGs) in the textile sector.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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