Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis

Gabriele Marcuccio, Elvio Bonisoli, Stefano Tornincasa, John E. Mottershead, Edoardo Patelli, Weizhuo Wang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This article presents a methodology for the treatment of uncertainty in nonlinear, interference-fit, stress analysis problems arising from manufacturing tolerances. Image decomposition is applied to the uncertain stress field to produce a small number of shape descriptors that allow for variability in the location of high-stress points when geometric parameters (dimensions) are changed within tolerance ranges. A meta-model, in this case based on the polynomial chaos expansion, is trained using a full finite element model to provide a mapping from input geometric parameters to output shape descriptors. Global sensitivity analysis using Sobol’s indices provides a design tool that enables the influence of each input parameter on the observed variances of the outputs to be quantified. The methodology is illustrated by a simplified practical design problem in the manufacture of automotive wheels.
Original languageEnglish
Pages (from-to)618-631
Number of pages14
JournalJournal of Strain Analysis for Engineering Design
Volume49
Issue number8
Early online date27 May 2014
DOIs
Publication statusPublished - 1 Nov 2014

Keywords

  • interference fit
  • shape descriptor
  • polynomial chaos expansion
  • global sensitivity analysis
  • dimensional tolerances

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