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The sensitivity and robustness analyses are more and more one of the main challenges of automotive suppliers. The use of Design of Experiments is one of the key to better understand the impact of the factors linked to the production dispersion on the behavior of a product. They also enable to improve simulation methodologies thanks to simulation vs test correlations, or to identify target values for uncertain input data to finalise analyses. Authors propose here a non-exhaustive review of their first attempts of coupling between Hyperstudy and their standard simulation solver Abaqus, through meshes morphing operations, automated launch of numerous simulations or optimization of predefined model parameters.
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