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 journal › Article

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

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Image Decomposition
Uncertainty Quantification
Stress Analysis
Stress analysis
Tolerance
Shape Descriptor
Manufacturing
Decomposition
Chaos theory
Sensitivity analysis
Chaos Expansion
Polynomial Chaos
Wheels
Methodology
Global Analysis
Output
Polynomials
Stress Field
Metamodel
Wheel

Keywords

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

Cite this

Marcuccio, Gabriele ; Bonisoli, Elvio ; Tornincasa, Stefano ; Mottershead, John E. ; Patelli, Edoardo ; Wang, Weizhuo. / Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis. In: Journal of Strain Analysis for Engineering Design. 2014 ; Vol. 49, No. 8. pp. 618-631.
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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.",
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Marcuccio, G, Bonisoli, E, Tornincasa, S, Mottershead, JE, Patelli, E & Wang, W 2014, 'Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis', Journal of Strain Analysis for Engineering Design, vol. 49, no. 8, pp. 618-631. https://doi.org/10.1177/0309324714533694

Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis. / Marcuccio, Gabriele; Bonisoli, Elvio; Tornincasa, Stefano; Mottershead, John E.; Patelli, Edoardo; Wang, Weizhuo.

In: Journal of Strain Analysis for Engineering Design, Vol. 49, No. 8, 01.11.2014, p. 618-631.

Research output: Contribution to journal › Article

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AU - Marcuccio, Gabriele

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AU - Patelli, Edoardo

AU - Wang, Weizhuo

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Marcuccio G, Bonisoli E, Tornincasa S, Mottershead JE, Patelli E, Wang W. Image decomposition and uncertainty quantification for the assessment of manufacturing tolerances in stress analysis. Journal of Strain Analysis for Engineering Design. 2014 Nov 1;49(8):618-631. https://doi.org/10.1177/0309324714533694

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