Abstract
The aim of this study is a verification of an estimation method that material plasticity parameters are identified by the inverse analysis using indentation test and FEM analysis. The experimental tests are carried out by dynamic instrumentation using the Rockwell testing machine with load cell and displacement sensor. The load-displacement (P-h) curves of the indentation are obtained by experimental tests. FEM analysis of the indentation test assuming plastic hardening behavior in the n power-law hardening material is specified by the stress-strain curve. The material parameters can be identified based on the curve fit using the quadratic polynomial function consisting of coefficients β and variables x. The best solution is determined by using the response surface methodology (RSM). Variables x are Young's modulus, spring constant of testing machine, strain hardening component and exponent. Combinations for the D-optimal design are generated by random numbers. Identified parameters almost coincide with practical values. The optimization results for a single-objective optimization problem are matched to the experimental P-h curves depending on evaluation function. In order to minimize the error in the several objective functions, this problem can be considered as a multi-objective optimization problems.
