Predicting deformation of compliant assemblies using covariant statistical tolerance analysis

M. R. Tonks, K. W. Chase, C. C. Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

In assemblies with compliant parts, dimensional variation causes misalignment between mating parts. To correct the misalignment, the compliant parts are deformed before being fastened. The resultant springback and residual stress can hinder performance. A new method uses statistical tolerance analysis and stochastic finite element analysis to predict the probable range of deformation caused by dimensional variation. To account for surface variation, a hybrid method models the surface covariance in which Legendre polynomials are used to model long wavelengths and the frequency spectrum is used to model shorter wavelengths. The hybrid covariance model accurately predicts the covariance of simulated parts and the covariance calculated from sheet-metal part data. The hybrid covariance method is an important part of an effective system for statistical analysis of variation in compliant assemblies.

Original languageEnglish (US)
Title of host publicationModels for Computer Aided Tolerancing in Design and Manufacturing - Selected Conference Papers from the 9th CIRP International Seminar on Computer-Aided Tolerancing, CAT 2005
PublisherKluwer Academic Publishers
Pages321-330
Number of pages10
ISBN (Print)1402054378, 9781402054372
DOIs
StatePublished - 2007
Event9th CIRP International Seminar on Computer-Aided Tolerancing, CAT 2005 - Tempe, AZ, United States
Duration: Apr 10 2005Apr 12 2005

Publication series

NameModels for Computer Aided Tolerancing in Design and Manufacturing - Selected Conference Papers from the 9th CIRP International Seminar on Computer-Aided Tolerancing, CAT 2005

Other

Other9th CIRP International Seminar on Computer-Aided Tolerancing, CAT 2005
CountryUnited States
CityTempe, AZ
Period4/10/054/12/05

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Modeling and Simulation

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