An integrated-model for austenite yield strength considering the influence of temperature and strain rate in lean steels

Abstract

Due to the necessity to exhaustively control the hot deformation of austenite, a strong effort has been made in the past to propose predictive models for the yield strength. Such models have shown accurate predictions within relatively narrow compositional range, closely related to the limitations of the database employed. Nevertheless, by testing those models with a large database, including a wider range of temperatures and compositions, the authors have observed that such narrow compositional ranges cause these models to be inaccurate. The strain rate is also an important parameter that has been ignored in previous works, and deeply affects mechanical behavior. In this work, we propose a more robust model, which includes the contribution of the strain rate and wider composition and temperature ranges by integrating different formulations, providing improvement at predicting yield strength with respect to previous models.