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ABSTRACT
Flow behavior constitutive equations have been widely used in FE analysis and parameter's optimization in thermomechanical processes of micro alloy steels. Flow curves of API-5L X70 pipeline micro alloy steel were analyzed to determine the material genome. Hot compression tests were performed over the different temperatures of 850-1150 °C and the strain rate range of 0.001-1 s^(-1) to obtain the kinetics of dynamic events. Using an inverse analysis (IA) technique, including a set of a finite element model of the hot compression process and the experimental data, the flow curves ware predicted. Constitutive equations of flow stress and time-dependent dislocation density comprising of work hardening, dynamic recovery and kinetic of dynamic recrystallization were presented as the material genome. The coefficients of the constitutive equations were extracted using regression analysis. The Arrhenius equation was applied to calculate the activation energy and verifying the validity of the calculation results. The predicted flow curves of the proposed model were manifested with a good agreement with the experimental results.