TY - JOUR
T1 - Phase-field simulation of austenite growth behavior
T2 - Insights into the austenite memory phenomenon
AU - Song, Pengcheng
AU - Ji, Yanzhou
AU - Chen, Lei
AU - Liu, Wenbo
AU - Zhang, Chi
AU - Chen, Long Qing
AU - Yang, Zhigang
N1 - Funding Information:
This work was supported by financial support from the National Natural Science Foundation of China (No. 51171087 ), and from the National Basic Research Program of China (Nos. 2015GB118000 and 2015CB654802 ). The computer simulations were carried out on the LION clusters at the Pennsylvania State University.
Publisher Copyright:
© 2016 Elsevier B.V. All rights reserved.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Austenite memory phenomenon impedes the application of reverse austenitic transformation to refine grains in steels. In this work, a phase-field model is employed to understand the austenite memory mechanism in terms of austenite growth behaviors under different mechanical boundary conditions, using the Fe-23Ni (wt.%) alloy as an example. The effect of defects formed during martensitic transformation on reverse austenitic transformation is considered by introducing a "stored energy" term. Kurdjumov-Sachs (K-S) variants of each phase are divided into three groups based on the crystallography analysis. Results show that different combinations of mechanical boundary conditions during the austenite → martensite → austenite transformation cycle have different effects on the austenite memory phenomenon, which can be attributed to the minimization of strain energy induced by phase transformations, as well as the inhomogeneous distribution of stored energy (energy of defects).
AB - Austenite memory phenomenon impedes the application of reverse austenitic transformation to refine grains in steels. In this work, a phase-field model is employed to understand the austenite memory mechanism in terms of austenite growth behaviors under different mechanical boundary conditions, using the Fe-23Ni (wt.%) alloy as an example. The effect of defects formed during martensitic transformation on reverse austenitic transformation is considered by introducing a "stored energy" term. Kurdjumov-Sachs (K-S) variants of each phase are divided into three groups based on the crystallography analysis. Results show that different combinations of mechanical boundary conditions during the austenite → martensite → austenite transformation cycle have different effects on the austenite memory phenomenon, which can be attributed to the minimization of strain energy induced by phase transformations, as well as the inhomogeneous distribution of stored energy (energy of defects).
UR - http://www.scopus.com/inward/record.url?scp=84958164175&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958164175&partnerID=8YFLogxK
U2 - 10.1016/j.commatsci.2016.01.030
DO - 10.1016/j.commatsci.2016.01.030
M3 - Article
AN - SCOPUS:84958164175
SN - 0927-0256
VL - 117
SP - 139
EP - 150
JO - Computational Materials Science
JF - Computational Materials Science
ER -