Correlation of CAE Predictions to Actual Physical Tests with Production Variability Taken into Account 2008-36-0089
One of the critical items for a good matching between CAE predictions and actual hardware data is the input parameters variability. A vehicle component, for example, after manufactured shows imperfections that can be translated in small variation on nominal values of geometries and material properties. These variations of physical and geometrical parameters, fundamental data to construct a numerical model, cause impact on dynamic response. Analysis of this impact requires the use of appropriate stochastic methods for structural problems, mainly in correlation analysis between numerical and experimental results. This work assesses Body-in-White Point Mobility and Vibration Transfer Function correlation between CAE predictions and actual vehicle performance, including production variation and test uncertainty data.
Citation: Albuquerque, E. and Almeida, R., "Correlation of CAE Predictions to Actual Physical Tests with Production Variability Taken into Account," SAE Technical Paper 2008-36-0089, 2008, https://doi.org/10.4271/2008-36-0089. Download Citation
Author(s):
Elson Albuquerque, Roberto Almeida
Affiliated:
Ford Motor Company do Brasil
Pages: 5
Event:
2008 SAE Brasil Congress and Exhibit
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Vehicle performance
CAD, CAM, and CAE
Production
Fabrication
Hardware
Mobility
Vibration
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