TY - GEN
T1 - Phase-field modeling of θ′ precipitation kinetics in W319 alloys
AU - Ji, Yanzhou
AU - Ghaffari, Bita
AU - Li, Mei
AU - Chen, Long Qing
N1 - Funding Information:
Acknowledgements The authors acknowledge the financial support from the URP program of the Ford Motor Company. The authors are also grateful for Dr. Shannon Weakley-Bollin and Dr. John Allison for providing the TEM images and the useful discussions.
PY - 2017
Y1 - 2017
N2 - Understanding and predicting the morphology, kinetics and hardening effects of precipitates are critical in improving the mechanical properties of Al-Cu-based alloys through controlling the temperature and duration of the heat treatment process. In this work, we present a comprehensive phase-field framework for simulating the kinetics of θ′ precipitates in W319 alloys, integrating the thermodynamic and diffusion mobility databases of the system, the key precipitate anisotropic energy contributions from literature and first-principles calculations, as well as a nucleation model based on the classical nucleation theory. By systematically performing phase-field simulations, assuming the precipitate peak number densities determined from experiments, we optimize the model parameters to obtain the best possible match to the average diameters, thicknesses and volume fractions of precipitates from experimental measurements at 190, 230 and 260 °C. With these parameters available, the phase-field simulations can be performed at other aging temperatures. The possible extensions of the current phase-field model for more accurate prediction of the precipitate behaviors in W319 alloys will also be discussed.
AB - Understanding and predicting the morphology, kinetics and hardening effects of precipitates are critical in improving the mechanical properties of Al-Cu-based alloys through controlling the temperature and duration of the heat treatment process. In this work, we present a comprehensive phase-field framework for simulating the kinetics of θ′ precipitates in W319 alloys, integrating the thermodynamic and diffusion mobility databases of the system, the key precipitate anisotropic energy contributions from literature and first-principles calculations, as well as a nucleation model based on the classical nucleation theory. By systematically performing phase-field simulations, assuming the precipitate peak number densities determined from experiments, we optimize the model parameters to obtain the best possible match to the average diameters, thicknesses and volume fractions of precipitates from experimental measurements at 190, 230 and 260 °C. With these parameters available, the phase-field simulations can be performed at other aging temperatures. The possible extensions of the current phase-field model for more accurate prediction of the precipitate behaviors in W319 alloys will also be discussed.
UR - https://www.scopus.com/pages/publications/85042397109
UR - https://www.scopus.com/pages/publications/85042397109#tab=citedBy
U2 - 10.1007/978-3-319-57864-4_27
DO - 10.1007/978-3-319-57864-4_27
M3 - Conference contribution
AN - SCOPUS:85042397109
SN - 9783319578637
T3 - Minerals, Metals and Materials Series
SP - 293
EP - 304
BT - Proceedings of the 4th World Congress on Integrated Computational Materials Engineering, ICME 2017
A2 - Mason, Paul
A2 - Schmitz, Georg J.
A2 - Singh, Amarendra K.
A2 - Fisher, Charles R.
A2 - Strachan, Alejandro
A2 - Glamm, Ryan
A2 - Manuel, Michele V.
PB - Springer International Publishing
T2 - 4th World Congress on Integrated Computational Materials Engineering, ICME 2017
Y2 - 21 May 2017 through 25 May 2017
ER -