Improvements on Design and Validation of Automotive Steel Wheels
In this paper, enrichments of automotive steel wheels design procedure are presented. The principal results are obtained using consolidated techniques as modal analysis and statistical approaches to estimate useful, but difficult to directly measure, system quantities. The methodology is applied to predict the local stiffening effect between the rim and the disk induced by the residual stress variation during the fitting procedure. The stiffening effect is related to components and assembly characteristics, such as masses, natural frequencies, generalised tolerances and uncertainties of elasto-plastic material properties and manufacturing process parameters. Components to assembly experimental modal analysis direct correlation is performed to identify the representative modes of the phenomena, while polynomial chaos expansion-based meta models developed upon experimental observations allow to extend the obtained results to component and assembly characteristics. A further improvement is analysed to extend the methodology to wheel-to-tyre interactions during fatigue tests allowing the indirect structure global stress estimation.
Keywordsautomotive wheel experimental modal analysis meta-models stiffening effect
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The authors thank G. Perris Magnetto, G. Gotta, R. Majocchi, C. Torrelli of MW Italia for the technical advice, suggestions and supporting the research in this study. Special thanks go to all of those have contributed to the achieved results of this project.
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