Trapping Modelling in MatCalc: Understanding Gibbs Energy and Configurational Entropy

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Trapping modelling in MatCalc involves studying the entrapment of atoms on lattice defects like solute atoms and dislocations. This process affects the system's energy and concentration, with parameters such as trapping enthalpy, nominal composition, and molar volume playing vital roles. By considering state variables, constraints, thermodynamics principles, and Gibbs energy derivation, researchers can better comprehend the impact of trapping phenomena in materials science.


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  1. Trapping Modelling in MatCalc Yao V Shan

  2. Introduction Trapping: atoms sticking to lattice defects (e.g. solute atoms, dislocations, grain boundaries, ) Cottrell atmosphere seen as trapping of carbon atoms along dislocations Pereloma et al. 2007

  3. Given parameters Trapping enthalpy E: reduction of system energy per trapped atom Nominal composition of trapped element ci Amount of trapping positions cdef (solute atoms: nominal composition of trapping element, dislocations: dislocation density) Molar volume Temperature T

  4. State variables Concentration of free atoms (in lattice) and trapped atoms: cL cT Volumes corresponding one mole of lattice positions and trap positions: VL VT Site fractions in lattice positions and trap positions: yL yT

  5. Trapping On solutes: On dislocations:

  6. Constraints Mass balance c = + c c i L T Molar volume 1 = 1 1 + V V L T Defects generate the molar trapping volume 1 = V T Zc def Site fractions y = y = c V c V T T T L L L

  7. Thermodynamics Gibbs energy: = G H TS 0 Effect of trapping H G = TS c E 0 c T configurational entropy moles of trapped atoms trapping enthalpy Sc cT E

  8. Configurational entropy Bragg-Williams approximation ln Sc y y Dividing the lattice into free and trapped portions: ln / T T y V ) + + / ln 1 ( ) ln( 1 ) V y y y y L L L L L = S R c g + 1 ( ) ln( 1 y y y T T T /VL fraction of lattice sites /VT fraction of trap sites

  9. Gibbs energy Gibbs energy + + / ln 1 ( ) ln( 1 ) V y y y y L L L L L = + G H R T y E 0 g T + / ln 1 ( ) ln( 1 ) V y y y y V T T T T T T Equilibrium L y G = 0 Applying constraints = y = = ( V ) ( V ) L y c V c c c T T T i L T i T V Partial derivative y = L V T T y V L L

  10. Gibbs energy derivation Derivation + + V V + / ln 1 ln( y 1 ) 1 V y y V dG V L L L = + = 0 T R T E g + / / ln / / ln( 1 ) / V V V V V y V V dy V T T L T T L T L T T L L T L Simplifying to V y 1 ( ) dG y y = + = ln 0 L T R T E g 1 ( ) dy y L L L T Equilibrium equation R y 1 ( ) y y E = exp L T Oriani 1970 1 ( ) y T L T g

  11. Exact analytical solution Knowing y = ( V ) L y c T i T V L and 1 ( ) y y E = = exp L T K 1 ( ) y y R T L T g One can find yLat equilibrium + + + + 2 ( ) ( 4 )( ) KV c V V c V V K V KV c V V c V V K V V KV c V V K = T i L T i L T L T i L T i L T T T i L T y L ( 2 ) V KV T T

  12. Real system Carbon on dislocations Trapping enthalpy: 75000 = 20 E T (Clouet et al. 2008) Coordination number Z for dislocations: 1 ~T Z (Cochardt et al. 1955) 2 Around 15 C atoms on a screw dislocation plane at room temperature (edge dislocation about half as much): (Cochardt et al. 1955) A = , 100000 Z A 2 T

  13. Effect of trapping Cementite fraction over temperature Dislocation density Increasing dislocation density dissolves cementite at lower temperatures

  14. Expansion to multi elements Multi trapping: e.g. carbon and nitrogen Gibbs energy = + / G H 0 + + + ln ln 1 ( ) ln( 1 ) V y y y y y y y y , , , , , , , , L L C L C L N L N L C L N L C L N R T g + + / ln ln 1 ( ) ln( 1 ) V y y y y y y y y , , , , , , , , T T C T C T N T N T C T N T C T N y E y E , , T C C T N N V V T T Equlibrium dG/dyL,C = 0 and dG/dyL,N = 0 leads to 1 ( ) y y y E , , , L C T C T N C = exp McLean 1957 1 ( ) y y y R T , , , L C L N T C g 1 ( ) y y y E , , , L N T C T N N = exp 1 ( ) y y y R T , , , L C L N T N g

  15. Expansion to multi traps Gibbs energy + = H G 0 i i i + + / ln 1 ( ) ln( 1 ) V y y y y L Li Li Li Li k R T y E g Tki ki V i i i Tk i + / ln 1 ( ) ln( 1 ) V y y y y Tk Tki Tki Tki Tki k Equlibrium equations (i k equations) i 1 ( ) y l= 1, 2, , k Tki y E Lj lj k i = exp j= 1, 2, , i y R T 1 ( ) y Tlj g Li

  16. Kinetics Kinetics are obtained from the balance equation for the Gibbs energy (thermodynamic extremal principle1): Q G = Total dissipation at dislocations in system due to carbon diffusion 4 y V y D T L R Ta V 3 R g L 2 ln Q T 2 4 a V a acting radius of dislocation R radius surrounding dislocation in a unit cell dislocation density D Diffusion coefficient of carbon a = T = R 1Svoboda et al. 2006

  17. Kinetics At dislocations: ( ( ) ) R 2 1 D y y E = + ln L T y y T L 1 y y T 3 R 2 T L g ln a 4 a At grain boundaries: ( ( ) ) R 10 1 D y y E = + ln L T y y T L 1 R y y T G T L g R grain radius in a unit cell grain boundary thickness

  18. Parameter study = f V T * = x y T = x c carbon 2 D = t 2 (ln( / ) 3 / ) 4 a R a Cottrell theory in dashed lines: * 2 / 3 x t

  19. Summary Thermodynamic model for describing various trapping effects Derivations of the presented model lead to known equations, which has been used in empirical models for equilibrium Expansion of model for multi components Kinetic equations for slow non- equilibrium processes

  20. More fun Chemical potentials y y = + ln L y R T 0 L g Ruda et al. 2009 1 L = + ln T R T E 0 T g 1 y T Extracting E from CALPHAD data by comparing chemical potentials Svoboda et al. 2011

  21. More fun Diffusion coefficients ~ c = = j D c ( j ) div t + 4 1 ( V ) / D cV K V V K ~ D = + 1 L L T 2 + 2 1 ( L ) / ) 1 ( ) cV K V K cV K K L T L Trapping reduces the effective diffusion coefficient Svoboda et al. 2011

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