The artificial neural network based prediction of friction properties of Al 2O 3-TiO 2 coatings

ÇETİNEL H.

Industrial Lubrication and Tribology, cilt.64, sa.5, ss.288-293, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64 Sayı: 5
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1108/00368791211249674
  • Dergi Adı: Industrial Lubrication and Tribology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.288-293
  • Anahtar Kelimeler: Coatings technology, Friction, Wear, Abrasion, Spraying, Al2O3-TiO2
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Purpose - The purpose of this paper is to predict friction/wear properties of Al 2O 3-TiO 2 coatings using artificial neural networks (ANN). Design/methodology/approach - Wear experiments were conducted in dry and acidic conditions. Wear loss values were determined and an ANN model was fixed in order to predict wear loss and friction coefficient values. Findings - Experimental and theoretical study results were well matched for wear loss and friction coefficient values. Research limitations/implications - The paper covers comparison of experimental and theoretical friction/wear results. Practical implications - A practical implication is that wear loss values can be predicted without further wear experiments. Originality/value - In this paper, the wear behavior of Al 2O 3-TiO 2 coatings has been investigated, both experimentally and theoretically, for the first time. Copyright © 2012 Emerald Group Publishing Limited. All rights reserved.