RETRACTED: Study of strain-driven martensitic phase transformation rate via data-driven approach

Abstract

Abstract In the kinetic studies of martensitic phase transformation, the propagation velocity of the phase boundary is considered as the speed of transformation. But there is no interface at the beginning of phase transformation, we cannot track the development of the interface. Here we propose a new mathematical model that describes the rate of martensitic transformation by the data-driven method, which is based on the study of the change in area fraction in each phase. In this paper, the K-means clustering method is used to classify martensite and austenite through advanced quantitative differential interference contrast microscopy system. After classification, the clustering results are in good agreement with microscopic observations. The phase transformation rate for a set of tensile tests under various strain rates is determined. Our work provides a useful reference for modeling the strain-driven martensitic transformation rate.