Unformatted text preview: red part data 5. CONCLUSIONS The hybrid covariance model provides a robust means of modeling the geometric covariance of surface variation in assemblies with compliant parts. Three descriptors of typical manufacturing process variation are required, but databases of these descriptors can be gathered for different processes to make this information readily available for design. The hybrid model uses the orthogonal polynomial model, requiring the polynomial coefficient matrix, for the warping variation and the frequency spectrum model, requiring the average autospectrum, for waviness and roughness variation. The two covariances are combined using the coefficients cw and cwr. The hybrid model has been shown to efficiently and accurately predict the geometric covariance from simulated and real data. Combining STA with FEA provides a tool for performing variation analysis on compliant assemblies. The CSTA method, using the hybrid covariance model, can efficiently estimate the residual stresses and springback in each compliant part in a...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.
- Spring '10
- The Land