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Optimization of a shot peening process

Lookup NU author(s): Emeritus Professor Terry Evans, Dr Andrew Metcalfe, Professor Brian Shaw

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Abstract

The statistical design and analysis of an experiment has been described to establish an empirical regression relationship between parameters of a typical shot peening process and measures of residual stress. In this study, practical constraints led to the choice of a non-orthogonal design for the experiment, the implications of non-orthogonality are discussed, and a multiple regression model was fitted to the results. The residuals from the regression model were better modelled by a Laplace distribution than a Gaussian distribution, so Huber robust estimates of the coefficients in the regression model were substituted for the least-squares estimates. The robust regression relationship is used to optimize the settings of process parameters. The optimization has resulted in an estimated increase of 15 per cent in the maximum residual stress. © IMechE 2008.


Publication metadata

Author(s): Petit-Renaud F, Evans JT, Metcalfe AV, Shaw BA

Publication type: Article

Publication status: Published

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Year: 2008

Volume: 222

Issue: 4

Pages: 277-289

Print publication date: 01/01/2008

ISSN (print): 1464-4207

ISSN (electronic): 2041-3076

Publisher: Professional Engineering Publishing

URL: http://dx.doi.org/10.1243/14644207JMDA176

DOI: 10.1243/14644207JMDA176


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