TY - JOUR
T1 - A review on the modeling and simulations of solid-state diffusional phase transformations in metals and alloys
AU - Liu, Xueyan
AU - Li, Hongwei
AU - Zhan, Mei
N1 - Publisher Copyright:
© X. Liu et al., Published by EDP Sciences 2018
PY - 2018
Y1 - 2018
N2 - Solid-state diffusional phase transformations are vital approaches for controlling of the material microstructure and thus tailoring the properties of metals and alloys. To exploit this mean to a full extent, much effort is paid on the reliable and efficient modeling and simulation of the phase transformations. This work gives an overview of the developments in theoretical research of solid-state diffusional phase transformations and the current status of various numerical simulation techniques such as empirical and analytical models, phase field, cellular automaton methods, Monte Carlo models and molecular dynamics methods. In terms of underlying assumptions, physical relevance, implementation and computational efficiency for the simulation of phase transformations, the advantages and disadvantages of each numerical technique are discussed. Finally, trends or future directions of the quantitative simulation of solid-state diffusional phase transformation are provided.
AB - Solid-state diffusional phase transformations are vital approaches for controlling of the material microstructure and thus tailoring the properties of metals and alloys. To exploit this mean to a full extent, much effort is paid on the reliable and efficient modeling and simulation of the phase transformations. This work gives an overview of the developments in theoretical research of solid-state diffusional phase transformations and the current status of various numerical simulation techniques such as empirical and analytical models, phase field, cellular automaton methods, Monte Carlo models and molecular dynamics methods. In terms of underlying assumptions, physical relevance, implementation and computational efficiency for the simulation of phase transformations, the advantages and disadvantages of each numerical technique are discussed. Finally, trends or future directions of the quantitative simulation of solid-state diffusional phase transformation are provided.
KW - Cellular automata
KW - Empirical and analytical models
KW - Molecular dynamics methods
KW - Monte Carlo models
KW - Numerical simulation
KW - Phase-field models
KW - Solid-state diffusional phase transformation
UR - http://www.scopus.com/inward/record.url?scp=85063895239&partnerID=8YFLogxK
U2 - 10.1051/mfreview/2018008
DO - 10.1051/mfreview/2018008
M3 - 文献综述
AN - SCOPUS:85063895239
SN - 2265-4224
VL - 5
JO - Manufacturing Review
JF - Manufacturing Review
M1 - 10
ER -