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Prediction of Ultraviolet Corrosion Levels of High Density Polyethylene Using Artificial Intelligence

Authors
Seo, J.Park, G.Kim, M.Joo, J.Koh, J.
Issue Date
Mar-2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
artificial intelligence; carbon black; high-density polyethylene; ultra violet Absorber
Citation
2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings, pp 278 - 282
Pages
5
Indexed
SCOPUS
Journal Title
2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings
Start Page
278
End Page
282
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/59427
DOI
10.1109/CSPA57446.2023.10087881
ISSN
0000-0000
Abstract
Currently, as the intensity of ultraviolet rays increases due to the severe global warming problem, it is difficult to make materials that exclude ultraviolet rays. As a result, high-density polyethylene (HDPE) is a non-toxic ecofriendly plastic with no environmental hormones detected and has been found to have excellent strength and less damage to ultraviolet rays, and interest in eco-friendly ship technology is increasing. This research predicted damage to high-density polyethylene by adding a carbon black sample, which is a UV stabilizer, to HDPE using a long-lasting UV-A lamp because it requires a lot of time due to the presence or absence of ultraviolet limitation. Since it takes a lot of time and money to check the corrosion of the material using ultraviolet rays, research was conducted using artificial intelligence to solve this problem, and as a result, it was confirmed that the degree of corrosion of HDPE according to the irradiation time can be predicted with 90% accuracy. © 2023 IEEE.
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