A multilayer perceptron artificial neural network model for estimation of ultraviolet protection properties of polyester microfiber fabric

Eyupoglu C., EYÜPOĞLU Ş., MERDAN N.

Journal of the Textile Institute, cilt.112, sa.9, ss.1403-1416, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 112 Sayı: 9
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1080/00405000.2020.1819000
  • Dergi Adı: Journal of the Textile Institute
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, INSPEC
  • Sayfa Sayıları: ss.1403-1416
  • Anahtar Kelimeler: Polyester microfiber fabric, accelerated aging test, ultraviolet protection, multilayer perceptron artificial neural network
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

In this study, the use of a polyester fabric produced from microfibers as a siding material for construction industry was investigated. In this context, an ultraviolet (UV) absorber was applied to the polyester fabric samples with and without dyeing process. These samples were treated with UV absorber at 1–4% concentration and then an accelerated aging test was carried out. The UV absorbance capacity of the samples was investigated before and after the accelerated aging test. Furthermore, the effects of dyeing process on UV absorbance capacity of samples were analyzed. Afterwards, a multilayer perceptron artificial neural network (MLP-ANN) model was proposed and utilized to predict the UV protection properties which are UV protection factor, UV-A and UV-B in polyester microfiber fabric. The MLP-ANN based results demonstrate that the regression (R) values are almost 1 for all UV protection properties. Accordingly, it was seen that the proposed MLP-ANN is correctly modeled and the prediction of UV protection properties is successfully performed.