Browse by author
Lookup NU author(s): Emeritus Professor Terry Evans,
Dr Andrew Metcalfe,
Professor Brian Shaw
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
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
Print publication date: 01/01/2008
ISSN (print): 1464-4207
ISSN (electronic): 2041-3076
Publisher: Professional Engineering Publishing
Altmetrics provided by Altmetric