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Development of a method for evaluating fabric surface contamination by particulate matter using fluorescent particles

Authors
Hwang, Seok-JuHwang, So-YoungKwon, Jin-KyungKim, Young-SilChoi, Eun-JinKim, Da-JinKim, MinYook, Se-Jin
Issue Date
Oct-2025
Publisher
Taylor and Francis Ltd.
Keywords
Air pollution; particulate matter; image processing; fabric; surface contamination
Citation
Journal of the Textile Institute, v.116, no.10, pp 2268 - 2276
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Journal of the Textile Institute
Volume
116
Number
10
Start Page
2268
End Page
2276
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212835
DOI
10.1080/00405000.2024.2424505
ISSN
0040-5000
1754-2340
Abstract
Functional clothing products are being developed to prevent the attachment of particulate matter (PM). However, currently, PM-blocking performance of such products cannot be quantitatively evaluated. This study developed a method for measuring fabric surface contamination by PM by contaminating textile fabrics with PM and using an image processing technique. Silicate particles exhibiting fluorescence characteristics with a suitable size distribution were selected as PM simulants. The fabric surface contamination was calculated by contaminating textile fabrics under wind speed and PM concentration conditions similar to actual atmospheric environment. The number of pixels was obtained in the black and white binary images converted from the images of the textile fabrics captured under an ultraviolet (UV) light source. Experiments were performed using finished nylon fabric with PM-blocking performance and raw nylon fabric without PM-blocking performance. Comparison of the fabric surface contamination shows that it is possible to evaluate the PM-blocking performance of fabrics.
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COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
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