Title: Statistical modelling and optimisation of the factors affecting the surface roughness of C45 steel treated by the centrifugal disk mass finishing process

Authors: K. Djender; K. Hamouda; M. Keddam; M.H.E. Amrou

Addresses: Laboratory of Materials Technology, Department of Materials Science, University of Science and Technology Houari Boumediene, Bp 32 El Alia 16111 Bab Ezzouar, Algiers, Algeria ' Laboratory of Materials Technology, Department of Materials Science, University of Science and Technology Houari Boumediene, Bp 32 El Alia 16111 Bab Ezzouar, Algiers, Algeria ' Laboratory of Materials Technology, Department of Materials Science, University of Science and Technology Houari Boumediene, Bp 32 El Alia 16111 Bab Ezzouar, Algiers, Algeria ' Laboratory of Materials Technology, Department of Materials Science, University of Science and Technology Houari Boumediene, Bp 32 El Alia 16111 Bab Ezzouar, Algiers, Algeria

Abstract: The goal of this study was to find the optimal conditions for improving the surface roughness (Ra) of the C45 steel treated by the centrifugal disk mass finishing process. The factors selected were the grain size of the abrasive media (Gs), the rotational speed of the disc (ω) and the loading volume (V). In order to optimize its parameters and describe the variation of (Ra), a regression model was developed with the response surface methodology. The model was validated with the analysis of variance with a descriptive quality estimated to 98%. The Student test was used to improve the model by neglecting the terms having an insignificant influence. Experimental tests demonstrated that the error between the estimated and the experimentally values did not exceed 2.34%. The lowest roughness value Ra = 1.079 m was obtained analytically by the optimal values of Gs = 4 and ω = 241.8 rpm.

Keywords: centrifugal disk mass finishing; abrasive media; grain size; C45 steel; surface roughness; response surface methodology; RSM.

DOI: 10.1504/IJMATEI.2020.104794

International Journal of Materials Engineering Innovation, 2020 Vol.11 No.1, pp.70 - 89

Received: 19 Feb 2019
Accepted: 25 Jun 2019

Published online: 31 Jan 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article