Abstract
This study introduces a detailed temperature model based on the moving heat source theory to identify Johnson-Cook material model parameters. The average temperature, effective stress, strain and strain rate on the main shear plane have been theoretically modelled by combining the temperature model with unequal division shear zone analysis. And then these physical quantities are evaluated by orthogonal cutting experiments with different cutting conditions. Applying genetic algorithm with searching ranges that strictly preserve the physical significance of material parameters to the inverse identification yields an optimal set of Johnson-Cook parameters. This methodology has been applied for two materials AISI 1045 steel and Al 6061-T6. The FEM simulation results by the new obtained parameters turn out to be in better agreement with experimental data than those by previous obtained parameters.
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