Distinguishing interstitial and substitutional diffusion in grand-potential based phase-field model

被引:3
|
作者
Amos, P. G. Kubendran [1 ]
Nestler, Britta [1 ,2 ]
机构
[1] Karlsruhe Inst Technol KIT, Inst Appl Mat IAM CMS, Str Forum 7, D-76131 Karlsruhe, Germany
[2] Karlsruhe Univ Appl Sci, Inst Digital Mat Sci IDM, Moltkestr 30, D-76133 Karlsruhe, Germany
关键词
Substitutional and interstitial diffusion; Reconstructive phase-transformation; Fe-C-X system; Para-equilibrium; Constrained-Carbon-Equilibrium; Molar number density; Multicomponent phase-field modelling; ISOTHERMAL SOLIDIFICATION; AUSTENITE; TRANSFORMATIONS; TRANSITIONS; EVOLUTION;
D O I
10.1016/j.mtla.2020.100820
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Grand-potential based phase-field technique is often claimed to be an efficient approach for modelling phase transformation in multicomponent systems. Since this technique largely employs mole fraction to treat concentration, it is principally restricted to simulating microstructural evolutions which are exclusively governed by substitutional diffusion. In this work, an existing grand-potential model is re-formulated to encompass interstitial diffusion. The distinction between interstitial and substitutional diffusion is achieved by adopting molar number-density (mol/m(3)) based description of composition. The ability of the re-formulated approach to model phase transformation accompanying interstitial and substitutional diffusion is elucidated by simulating rather straightforward decomposition of austenite into ferrite in the ternary Fe-C-Mn system. Energy-density approximations that facilitate the incorporation of CALPHAD data in the present framework are delineated for general, and in particular for Fe-C-X alloy systems. Furthermore, phase-change under para-equilibrium, which can only be imposed through the re-formulated variant of grand-potential technique, is modelled and the resulting concentration profile is discussed in comparison to the outcomes of the conventional approach. Partitioning of carbon in constrained-carbon-equilibrium condition is consistently simulated in-line with its description.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Grand-potential based phase-field model for systems with interstitial sites
    Amos, P. G. Kubendran
    Nestler, Britta
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [2] Grand-potential based phase-field model for systems with interstitial sites
    P. G. Kubendran Amos
    Britta Nestler
    Scientific Reports, 10
  • [3] A method for coupling the phase-field model based on a grand-potential formalism to thermodynamic databases
    Choudhury, Abhik
    Kellner, Michael
    Nestler, Britta
    CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE, 2015, 19 (05): : 287 - 300
  • [4] An improved grand-potential phase-field model of solid-state sintering for many particles
    Seiz, Marco
    Hierl, Henrik
    Nestler, Britta
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2023, 31 (05)
  • [5] Nonequilibrium thermodynamic foundation of the grand-potential phase field model
    Zhang, Jin
    Warren, James A.
    Voorhees, Peter W.
    PHYSICAL REVIEW E, 2025, 111 (02)
  • [6] Unified derivation of phase-field models for alloy solidification from a grand-potential functional
    Plapp, Mathis
    PHYSICAL REVIEW E, 2011, 84 (03):
  • [7] A grand-potential based phase-field approach for simulating growth of intermetallic phases in multicomponent alloy systems
    Chatterjee, Sourav
    Moelans, Nele
    ACTA MATERIALIA, 2021, 206
  • [8] Multiphase-field model for surface diffusion and attachment kinetics in the grand-potential framework
    Hoffrogge, Paul W.
    Mukherjee, Arnab
    Nani, E. S.
    Amos, P. G. Kubendran
    Wang, Fei
    Schneider, Daniel
    Nestler, Britta
    PHYSICAL REVIEW E, 2021, 103 (03)
  • [9] An improved grand-potential phase-field model of solid-state sintering for many particles (vol 31, 055006, 2023)
    Seiz, Marco
    Hierl, Henrik
    Nestler, Britta
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2023, 31 (08)
  • [10] Grand-potential-based phase-field model for multiple phases, grains, and chemical components
    Aagesen, Larry K.
    Gao, Yipeng
    Schwen, Daniel
    Ahmed, Karim
    PHYSICAL REVIEW E, 2018, 98 (02)