MULTI-OBJECTIVE OPTIMIZATION OF MATERIAL PARAMETERS FOR NANOINDENTATION MODEL

Abstract eng:
Optimization of input material parameters from a nanoindentation model is discussed in this paper. Nanoindentation allows testing physical properties of materials in the scale of their components. Because this testing is very expensive, it is effective to use numerical models. The target of the optimization is to find input parameters for the model to achieve an agreement between the numerical response and the experiment. As an optimization algorithm, the multi-objective evolutionary algorithm PAES was used. Objective functions are based on a difference between an optimized curve and a result from the model. From the point of view of efficiency and accuracy, the proposed methodology provides a promising alternative to the existing approaches.

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