Abstract
Different routes to produce a product in a bulk forming process can be described by a limited set of process parameters. The parameters determine the final geometry as well as the distribution of state variables in the final shape. Ring rolling has been simulated using different parameter settings. The final state variable fields have been subjected to Principal Component Analysis. Interpolation of amplitudes in process parameter space gives a good representation of the fields and is useful as metamodel of the process.
Highlights
In engineering process design it is often needed to find an optimal solution for a given design parameters space
If there is a need for obtaining information from this process with large number of different parameter values it may be beneficial to construct its approximation response model known as surrogate model or metamodel
Due to significant mesh deformations it is necessary to apply a mesh refinement algorithm during the simulations. This results in a newly created mesh with independent element distribution compared to its previous configuration. It means that simulations for different parameters will have different mesh number and configuration they cannot be directly used for metamodel creation
Summary
In engineering process design it is often needed to find an optimal solution for a given design parameters space. If there is a need for obtaining information from this process with large number of different parameter values it may be beneficial to construct its approximation response model known as surrogate model or metamodel. In the present work the possibility of application of the POD-RBF technique is investigated to describe distributed FEM results for plastic metal forming process where large mesh distortions occur. Due to significant mesh deformations it is necessary to apply a mesh refinement algorithm during the simulations This results in a newly created mesh with independent element distribution compared to its previous configuration. It means that simulations for different parameters will have different mesh number and configuration they cannot be directly used for metamodel creation. The possibility of describing part shape results independently from mesh distribution is investigated in this work for large deformation nonlinear problems
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