The material genome of type 316 austenitic stainless steel is presented. The material genome is a set of constitutive equations which describes the microstructure evolution during hot forming. Single‐ and double‐compression tests at temperatures of 950–1150°C and with strain rates of 0.01–20 s−1 were performed to obtain the kinetics of dynamic and static events. Inverse analysis, which couples a thermomechanical finite element analysis with experimental data, is used to obtain the flow curves. It compensates the effect of inhomogeneous distributions of deformation and temperature during the compression tests. The sine‐hyperbolic law, which relates the flow stress and the Zener–Hollomon parameter, is used to validate the accuracy of the solution. Regression analysis is applied on the coefficients of the flow curves in order to obtain the parameters of the constitutive equations. Microstructure investigations are used to demonstrate the validity of the newly obtained material genome.

The importance of structural metals for industrial applications is based on their superior combination of mechanical propertiesstrength, elongation, toughness and corrosion resistance -achieved at the end of forming processes. A numerical analysis for the prediction of microstructure is strongly required for the optimization of hot forming process parameters, because the microstructure of structural metals, which has the significant effects on mechanical properties, is strongly dependent to forming process conditions as well as the chemical composition. The off-line and on-line analyses of microstructure evolution are explained briefly, and the results of its application to hot strip rolling are presented. The linkage of microstructure analysis to kinetic property prediction of product is discussed, and finally, the remaining research topic, such as enlarging the analytical scheme to various alloys, is presented.

In this study, the kinetics of microstructure evolution during hot rolling of type 316 austenitic stainless steel is investigated. First, its kinetics during the dynamic and static events, known as the material genome, is driven by single- and double-compression tests at several temperatures and strain rates. Inverse analysis is used to obtain the flow curves and regression analysis is applied on the coefficients of these flow curves in order to obtain the parameters of the constitutive equations. This new material genome is then used as the boundary condition on an incremental type formulation, taking the dislocation density as the representative variable, to estimate the flow stress and microstructural evolution after the transient changes during rolling schedules of seamless pipes. Actual rolling schedules are simulated and the microstructural changes are compared to industrial data. The outcome of the grain size evolution was reproduced reasonably well showing that proposed methodology can be used to simulate a complex thermomechanical process akin to the rolling schedules of seamless pipes.