Abstract
In assemblies involving compliant parts, springback and residual stress are caused when geometric variation in the assembly requires the parts be deformed to allow for assembly. A method is needed to predict the deformation due to the geometric variations. Researchers in the areas of Statistical Tolerance Analysis and Stochastic Finite Element Analysis have developed methods to account for statistical variation of parameters in a finite element model. A new statistical method uses an orthogonal polynomial-based covariance model to account for surface variation of the compliant parts over a wide range of wavelengths. The method has been demonstrated to match the accuracy of Monte Carlo simulation with a single calculation, and accurately model covariance data taken from real parts.
| Original language | English (US) |
|---|---|
| Pages | 49-55 |
| Number of pages | 7 |
| DOIs | |
| State | Published - 2004 |
| Event | 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - Salt Lake City, UT, United States Duration: Sep 28 2004 → Oct 2 2004 |
Other
| Other | 2004 ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
|---|---|
| Country/Territory | United States |
| City | Salt Lake City, UT |
| Period | 9/28/04 → 10/2/04 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Mechanical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design