COMPARISON BETWEEN JOHNSON COOK’S PLASTICITY WITH DAMAGE MODEL AND ISOTROPIC HARDENING PLASTICITY WITH DUCTILE DAMAGE MODEL ON ALUMINIUM ALLOY SHEET 2024 T3 TENSILE TEST IN CORRELATING THE FINITE ELEMENT METHOD (FEM) TO THE EXPERIMENT TEST RESULT

Abstract

Sometimes students and/or researchers are faced with a limited sample and data issue and need to choose carefully which approaches to be used, especially in performing analysis with numerical analysis. As there are a lot of numerical analysis approaches that are having similar purposes and the approaches can be used depending on the analysis cases and objectives. For example, Johnson Cook’s plasticity model and isotropic plasticity hardening model are the common approaches available and used in ABAQUS software to determine the metal and metal alloy plasticity or inelastic mechanical properties. Therefore, in this paper, two approaches – Johnson Cook’s plasticity with damage model and isotropic plasticity hardening with ductile damage model which is used to define the metal and metal alloy mechanical properties and performance are studied using ABAQUS Computer Aided Engineering (CAE) software and compared accordingly. In this study, the experimental result of the tensile test was used to determine the mechanical properties of the Aluminium alloy 2024 T3 sheet with 0.29mm thickness. Then the experiment test data are used to correlate the finite element method (FEM) model and the experimental test result by using Johnson Cook’s plasticity hardening with damage model approach and the isotropic hardening plasticity with ductile damage model approach. Based on the comparison with the experiment failure sample mode, both FEM model failure mode is closely identical to the experiment failure sample. From the mechanical properties comparison, Johnson Cook’s model shows a bigger deviation compared to the isotropic plasticity with ductile damage model in comparison to the experiment value. From this paper, it can be concluded that the ductile damage model is more appropriate to be used when the sample and data are limited.