Phase Transformation Prediction Considering Crystallographic Orientation in Microgrinding Multiphase Material

Author:

Zhao Man12,Ji Xia3,Feng Yixuan2,Liang Steven Y.42

Affiliation:

1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China;

2. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332

3. School of Mechanical Engineering, Donghua University, Shanghai 201620, China

4. School of Mechanical Engineering, Donghua University, Shanghai 201620, China;

Abstract

Abstract This investigation proposes a physics-based model to predict the solid-state phase transformation of maraging steel subjected to microgrinding. In microgrinding, the effect of crystallography is significant on the grinding phase transformation in light of the fact that the depth of cut is on the same order of magnitude as the grain size. This paper proposes a predictive model of phase transformation considering crystallographic orientation (CO) with respect to the grinding direction based on the Taylor factor model. In addition, the flow stress model is modified by adding a CO sensitive term and incorporating the mechanical-thermal loadings. Furthermore, the temperature, temperature rate, strain rate, and Taylor factor are also combined in the model of phase transition. The kinetics parameters of the models are obtained by a regression analysis against experimental data. Finally, the modified models are validated with experiments data and compared with the previous prediction.

Funder

Georgia Institute of Technology

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

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