Abstract:
During the continuous cooling of steels, the prior austenite, depending on the EMPLOYED cooling rate , decomposes into different constituents, defining the final product microstructure. The fine tuning of this microstructure is relevant to allow the manufactured steels to have a satisfactory combination of mechanical properties, achieving their good performance for the desired applications. In this sense, it is necessary to predict the kinetics of phase transformation during continuous cooling, because as long as the critical transformation temperatures can be previously calculated, the precise planning of heat treatments can be carried out. Therefore, this work evaluated the effectiveness of an empirical mathematical model proposed by Cezário (2018) as a predictability tool for phase transformation kinetics under continuous cooling applied to different steel types. The model proved to be efficient in predicting critical temperatures for the transformation of austenite into diffusional constituents, in addition to enabling, based on multiple linear regressions, to find equations for Ar3 and Ar1 that allowed the calculation of CCT steels’ diagrams based on their chemical composition and cooling rate as input data.