Abstract

Background: The recent coronavirus epidemic over the past three years has significantly impacted people’s perspective worldwide. People have become more attentive, specifically on environmental protection issues. Purpose: This paper aims to develop smart clothing through the biomimetic design process to increase sustainability in the garment industry. Methods: The literature review analyzes the reasons why smart clothing is difficult to design and develop, as well as the reasons why consumers are hesitant to wear it from their perspective. Results: The results of the survey show that dynamic simulation of smart clothing can increase the sustainability of clothing in terms of its time of use and aesthetic appeal. In this study, the reactions and morphologies of two natural plants, pine nuts and mimosa, were studied in relation to external changes. Through data inquiry and simulation, the results that can be reproduced in the change process were determined. The significance and value of this study is highlighted through structural changes. The weight and volume of such smart devices are reduced by the use of shape memory alloy (SMA) metal in the design, which minimizes energy consumption during change and movement. Based on the principle of biological change structure and dynamic morphological change process, the dynamic biomimetic design method is intended to mimic morphological and dynamic changes. Finally, 3Dclo software simulates the effect, thereby saving a lot of time and resources. Conclusion: Dynamic intelligent clothing design based on biomimetic design process can be realized, and it can be applied to the sustainability of clothing.