Previous studies showed that a good correlation of axle vertical bending test can be obtained by choosing a proper correlation strategy that adapts both displacement and strain as correlation targets [1]. However, due to experimental error, as well as some environment noises, it was found that the correlation problem was highly nonlinear. This creates a large difficulty in searching for the global optimal solution with a gradient-based optimization technique that largely depends on the selection of initial search points. The confidence for finding a global optimal solution is highly limited without a search of the complete design space. Additionally, certain aspects of axle system modeling, such as bearing stiffness effects on the correlation result, are yet to be found. This study is a continuous investigation of CAE correlation of the axle vertical bending test by focusing on the improvement of the correlation process and confidence. A new optimization algorithm using design exploration techniques was adopted for the optimal solution search. The study found that the previous 2-step search process could be replaced by a one-step global search process. Additionally, different exploring search techniques were compared and application guidelines were provided. The new correlation process is now implemented in the product development process.
Correlation and Simulation Process Improvement for Automotive Axle
Sae Technical Papers
SAE World Congress & Exhibition ; 2007
16.04.2007
Aufsatz (Konferenz)
Englisch
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