• A. Damodara Reddy

This paper describes the development of hybrid composites consisting of polyester reinforced with E-glass fiber and alumina particulates. Four different composite samples are prepared with 0, 5, 10 and 15wt. % of Al2O3. The abrasion wear response of these composites is investigated. For this purpose the abrasion test is conducted by following design of experiment approach using Taguchi’s orthogonal arrays. Taguchi approach enables to determine optimal parameter settings that lead to minimization of wear rate. The results indicate that sliding velocity, normal load and filler content are the significant factors. The experimental results are in good agreement with the values from the theoretical model. An artificial neural network (ANN) approach is also applied to predict the wear rate of the composites and compared with the theoretical results. This study reveals that addition of hard particulate filler improves the wear resistance of glass-polyester composites significantly.

Abrasion Wear modeling, Al2O3, Taguchi design, Theoretical model, ANN.

"INVESTIGATION ON ABRASION WEAR RESPONSE OF HYBRID COMPOSITES USING TAGUCHI EXPERIMENTAL DESIGN AND ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.289-295, February-2019, Available :http://www.jetir.org/papers/JETIR1902G42.pdf

"INVESTIGATION ON ABRASION WEAR RESPONSE OF HYBRID COMPOSITES USING TAGUCHI EXPERIMENTAL DESIGN AND ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp289-295, February-2019, Available at : http://www.jetir.org/papers/JETIR1902G42.pdf