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

  • Seo, J.; 
  • Park, G.; 
  • Kim, M.; 
  • Joo, J.; 
  • Koh, J.
Citations

SCOPUS

1

초록

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.

키워드

artificial intelligence; carbon black; high-density polyethylene; ultra violet Absorber
제목
Prediction of Ultraviolet Corrosion Levels of High Density Polyethylene Using Artificial Intelligence
저자
Seo, J.; Park, G.; Kim, M.; Joo, J.; Koh, J.
DOI
10.1109/CSPA57446.2023.10087881
발행일
2023-03
유형
Conference Paper
저널명
2023 19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023 - Conference Proceedings
페이지
278 ~ 282