HT-LSCM as a Tool for Indirect Determination of Precipitates by Real-Time Grain Growth Observations
© 2020, The Minerals, Metals & Materials Society. The characterization of precipitation populations in steel with respect to their size distribution or volume fraction is still a challenge for even highly sophisticated analytical methods, and hence statistical data—absolutely essential for the verification of precipitation calculations—is still rare. The present paper aims at the use of high-temperature laser scanning confocal microscopy (HT-LSCM) in situ grain growth observations for the indirect conclusion on the precipitation or dissolution of AlN depending on initial aluminium and nitrogen content and thermal cycle. A formerly developed austenite grain growth model is applied to estimate the time-dependent Zener pinning and the results are finally used to adjust the relevant input parameters for the simulation of AlN precipitation kinetics in the commercial software MatCalc. The proposed paper will present first results and discuss the potential and limits of this efficient and time saving indirect method.