Title: ANOVA and regression model of slurry erosion parameters of a polymeric spray paint film

Authors: Mahmoud Heshmat; Yasser Abdelrhman

Addresses: Mechanical Engineering Department, Assiut University, Egypt ' Mechanical Engineering Department, Assiut University, Egypt

Abstract: In this paper, slurry erosion behaviour of a polymeric paint film coated on steel and impacted with silica was investigated. The investigated spray paint is commonly used in automobile paint systems to provide protection against mechanical and corrosive damages. Slurry erosion tests were conducted on the designed samples to investigate the effect of the common slurry erosion parameters, namely, slurry concentration, impact angle, and impact velocity, on the mass loss of the paint material as a response. Analysis of variance (ANOVA) was used to study the contribution of the individual parameters and investigate the significant effect of them on the mass loss of the paint material. Moreover, a regression model was developed based on the ANOVA results to predict the response (mass loss) in terms of different values of the input parameters. The developed regression model was validated with the experimental results and found to be feasible. The results revealed that the slurry erosion increases by increasing the slurry concentration and impact velocity. In addition, the rate of erosion increases with the increase of the impact angle until the angle reaches 66°. Furthermore, the ANOVA illustrated that slurry concentration and impact angle are the most significant parameters influencing the mass loss of the paint material, whilst the impact velocity had the less significant impact. The obtained statistical results were confirmed by conducting extra experimental works.

Keywords: slurry erosion; analysis of variance; ANOVA; regression; kendo.

DOI: 10.1504/IJMATEI.2020.10030643

International Journal of Materials Engineering Innovation, 2020 Vol.11 No.3, pp.198 - 211

Received: 14 Oct 2019
Accepted: 26 Dec 2019

Published online: 05 Aug 2020 *

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