Role of magnetism in phase stability and kinetic of transformation in iron and steel
description
Transcript of Role of magnetism in phase stability and kinetic of transformation in iron and steel
Yuri Gornostyrev Institute of quantum materials science
Institute of metal physics UB RAS Ekaterinburg, http://www.iqms.ru
IQMS
ROLE OF MAGNETISM IN PHASE STABILITY AND
KINETIC OF TRANSFORMATION IN IRON AND STEEL
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In collaboration withO.I.Gorbatov, I.K. Razumov, S.V. Okatov, A.R. Kuznetsov
(IQMS), P.V. Korzhavyi, A.V. Ruban (KTH), A.I. Lichtenstein (Hamburg Uni), M.I. Katsnelson (Radboud Uni) V.N. Urtsev,
A.V. Shmakov (RTC Ausferr)
Problem of Fe. Effect of magnetism on fundamental properties
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• C. Zener (1952): the start temperature of martensitic transformation Ms ~ TC
• Experiment: Ms = 1020K (C. Liu et al, J Mater. Proc. Tech., 2001)
Fragment of phase diagram Fe-C
H. Hasegava, D.G. Pettifor, PRL, 50, 130 (1983)
L. Kaufman, E.V. Clougherty, R.J. Weiss, Acta Metall., 11, 323 (1963)
Free energy of Fe with taking into account magnetic fluctuations
Magnetism play crucial role in phase equilibrium and transformation kinetic
C. Zener, 1952
TC ~ Tg-a
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L. Kaufman, et. al., 1963M. Hillert, et. al., 1967G. Inden, 1976 M. Hillert, et. al., 1978T. Nishizawa, et. al., 1979G. Inden, 1981B. Jonsson, 1992, 1994, 1995 Y. Liu, et. al., 2009Wei Xiong, et. al., 2012
IQMS Selected problems initiated by the metallurgical needs
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Mechanism polymorphous g – a transformation in steel
Transformation kinetic and microstructure formation
Effect of alloying elements on phase equilibrium and transformation
Precipitation of alloying elements and carbonitride in steels
Clustering of foreign atoms in maraging steels Grain boundaries segregations
and more …
Scheme of controlled rolling low alloying pipe steel
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Thus, there is close relation between quantum mechanics and technology
The purpose and methods of calculations
Density Functional Theory, DFT1
Coherent Potential Approximation, CPA2
Korringa, Kohn, Rostoker - Green's Function Methods. KKR-GF Generalized Gradient Approximation, GGA4
Locally Self-consistent Green's Function method, LSGF5
Disordered Local Moment Model, DLM6
VASP7
Motivation: elucidate the effect of magnetism on thermodynamic of iron-based alloy
We employed the following methods and approximations
1. P. Hohenberg and W. Kohn, Phys. Rev. 136, B864 (1964); W. Kohn and L.J. Sham, Phys. Rev. 140, A1133 (1965)2. P. Soven, Phys. Rev. 156, 809 (1967) 3. J. Korringa. Physica 13, 392 (1947); W. Kohn and N. Rostoker. Phys. Rev. 94, 1111 (1954) 4. J.P. Perdew, K. Burke, and M. Ernzerhof, Phys. Rev. Lett. 77, 3865 (1996) 5. I.A. Abrikosov, A.M.N. Niklasson, S.I. Simak, B. Johansson, A.V. Ruban, H.L. Skriver. Phys. Rev. Lett. 76, 22, 4203 (1996); I.A. Abrikosov, S.I. Simak, B. Johansson, A.V. Ruban, H.L. Skriver. Phys. Rev. B 56, 15, 9319 (1997) 6. B.L. Gyorffy, A.J. Pindor, J.B. Stauton, G.M. Stocks, H. Winter, J Phys. F 15, 1337 (1985); J.B. Stauton, B.L. Gyorffy, Phys. Rev. Lett. 69, 371 (1992) 7. G. Kresse and J. Furthmuller, Phys. Rev. B 54, P.11169 (1996); G. Kresse and J. Hafner, Journal Phys. Condensed Matter, 6, 8245 (1994); G. Kresse and J. Joubert, Phys. Rev. B 59, 1758 (1999).
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Play important role in pipe steels and maraging steels
and use to control phase stability, transformation and strengthening
EFFECTS OF MAGNETISM ON PRECIPITATION
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Precipitation in steel. Important cases
Distribution of copper atoms in steel with 1.2 at.% Cu after annealing [1].
Strength, plasticity and toughness.
This steel proposed in prof. M. Fine group at NWU
[1] D. Isheim, M. S. Gagliano, M. E. Fine, D. N. Seidman, Acta Materialia V. 54 p. 841 (2006).
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1. Nb carbonitride precipitation Nb(CN) at T < 1100 C
to prevent austenite grain growth
2. Cu-reach nano-size precipitate at T < 700 C
3. Complex precipitation Ti-Al-Mn in maraging steels T < 500 C
High strength and plasticity
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IQMS Thermodynamics and structure of alloys from first principles
Experiment (HREM, 3D AP)
properties
V(2)
Electronic structure and chemical bonding
CVS alloy energy
Microstructure formation
Interaction with dislocation, hardening
Effective cluster interactions energy
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Ab-initio interaction energies between alloying elements
• Interatomic interactions follow to the number of element in the periodic table • The strongest effect of magnetism is for Cr, Mn, Ni, Cu, V• The tendency to decomposition for Cu and ZnO.I. Gorbatov, S.V. Okatov, Yu.N. Gornostyrev, P.A. Korzhavyi, A.V. Ruban, PMM, 2013
« + » is repulsion« - » is attraction
local ordering decomposition
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Total effective pair interaction in bcc-Fe with 1 at.% Cu for different global magnetization
Dependence of the effective pair interactions in the nn positions on square of global magnetization
O.I. Gorbatov, I.K. Razumov, Yu.N. Gornostyrev, V.I. Razumovskiy, P.A. Korzhavyi, A.V. Ruban, PRB in press
Effective pair Cu-Cu interactions
• Interactions depend on the temperature and the concentration of the alloy• Dependence on the concentration is more pronounced in the ferromagnetic state
(2) (2)tot dV V V
chemical contribution relaxation contribution
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•Increase of copper concentration results in smoothing magnetic effect •Concentration dependent Cu-Cu interactions with strained-induce interactions give agreement with the experiment
1% Cu – isolated Cu atoms in pair
12.5% Cu – the nearest neighbor in first coordination shell.
Solubility Cu in bcc Fe: results of Monte Carlo modeling
● - G. Salje and M. Feller-Knipmeier, J. Appl.Phys. 48, 1833 (1977)■ - M. Perez et. al, Philos. Mag. 85, 2197 (2005)
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O.I. Gorbatov, I.K. Razumov, Yu.N. Gornostyrev, V.I. Razumovskiy, P.A. Korzhavyi, A.V. Ruban, PRB, in press
TTT diagram of decomposition of dilute Fe-Cu alloy showed the time needed to attain the precipitation fraction equal 0.2 from maximal value at given temperature.
Accounting of changes in magnetic state is necessary for correct description of the transformation
Time-Temperature-Transformation (TTT) diagram of decomposition of dilute Fe-Cu alloy
• It is in a good agreement with experimental kinetics
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PDLMFM
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SRO is responsible for induced magnetic anisotropy in
Fe-Si, Fe-Al and for large magnetostriction in Fe-Ga
EFFECTS OF MAGNETISM ON SHORT RANGE ORDER IN SOFT MAGNETIC
ALLOY FE-X (X=SI,AL,GA,GE)
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Profiles of superstructure peak (300) and (003) of single crystal Fe(1-x)Six (x = 0.08) diffuse scattering [N.V. Ershov et al. 2008, 2009]
After cooling from 850°C SRO B2 type is dominate
Relative volume of D03 regions increases after annealing at 450°C.
B2 D03
B2 D03
Effect of temperature on SRO in Fe-Si
850°C450°C
Different SRO appear in T > TC and T < TC regions
What is mechanism of SRO formation in Fe-Si alloys?Why SRO change nearby Curie temperature?
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Effective Si-Si interaction energies for Fe – 8% Si alloy
Energy of effective pair interactions
1. The interactions are mostly repulsion and short-ranged2. Sensitive to magnetic state of iron3. Interaction energy of 2-th neighbors significant decrease in PM state
Chemical interactions
Total interactions
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- Metropolis Monte Carlo predicts B2 type SRO for T > TC and CSi 8%.- D03 type SRO corresponds to T < TC.
B2D03
Monte Carlo simulation of short-range order in Fe-Si
Τ = 900 oCΤ = 300 oC
SiSinP – the probability of finding an atom Β in the n-th
coordination sphere of another atom Β
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1. Short-ranged order formation in Fe-Si and Fe-Al has been investigated by Monte Carlo with ab-initio calculated of interatomic interaction energies.
2. We found essential effect of magnetism on SRO formation
- B2 type SRO form at T > TC, and It inherits during cooling down;
- D03 type SRO is preferable for temperatures T < TC and appears after annealing of quenches samples;
3. The results support the model of the induced magnetic anisotropy based on ordering Si-Si pairs. However, these pairs do not appear during annealing below TC and rather quenched from paramagnetic state
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Give main contribution to microstructure formation
The microscopic mechanism is still not clear
POLYMORPHIC TRANSFORMATION IN IRON
AND STEEL
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IQMS What mechanism of martensitic transformation?
Martensitic transformation appear at T < Ms as results of lattice instability
What reasons for lattice instability in fcc Fe ?
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But there is not soft modes in phonon spectra of fcc Fe
Leonov, I., Poteryaev, A.I., Anisimov, V.I. & Vollhardt, D., PRB, 2012
Bain path energetics. Importance of magnetic short range order (MSRO).
The energy of Fe in dependence on tetragonal distortions for different magnetic states
Ferromagnetic FCC Fe is unstable. Paramagnetic (DLM) FCC Fe is stable,
however g - a transition do not lead to energy gain.
Paramagnetic BCC Fe stabilize by MSRO
Energy barrier connected with magnetic structure SS – FM transition.
There is magnetic instability in FM FCC Fe. Cooling down to T < TC (FM curve) lead to high driving force and small energy
barrier E << kT – martensitic mechanism; for T > TC – nucleation and grows.
S.V. Okatov et al, PRB 200919
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IQMS Bain path in dependence on temperature
For description of BP at intermediate temperature the exchange interactions in dependence on deformation are nesessary
From Fe FM 0K calculation
(PM)
(FM)
Fe
From Fe DLM calculation
Intermidiate T?
Martensitic transformation
Nucleation and grows
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Spin lattice coupling in g-Fe.
Exchange energy appear big and comparable with T in distorted FCC Fe Follow expect strong spin lattice coupling
Exchange parameters from spin-spiral calculations (VASP)
--BZ
nnnji
jijiEXMNM EM
RJJJEEEEQ
QRQee )exp()(1)( ; ;,
,
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S.V. Okatov et al, PRB 2012 21MISiS, 20-10-2013
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IQMS Simple model of Bain path in dependence on temperature
-
jiji
jiPM JEE mm)ˆ()ˆ( , Energy )(~)ˆ(~)ˆ(),ˆ( TQJgTg PM -
/exp1
/exp1)(C
Cji TTk
kTTQ-
- mm 0.04eV ,2/)( tC JkT
-
---- a
a
1)/~exp(ln)1(~~),~(~),( 0
~
00
JJTsgJdTJQTsgTef PM
J
PMtt
Free energy magnetic contribution (Hellmann-Feynman)
Bain path energetics from ab-initio for FM and PM(DLM) states
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Kinetic equations of modelFor displacements
The solution this equation is determined thee new phase nucleation (with taking into account thermal fluctuations and microstructure formation
j
i
j
iji
tu
rtu 22
2
ij
ijF
cF
Mtc
2
TQExpMM /0 -
and composition evolution
xxcvvvcvxx
xx kcxxxcxvAd
dEF
222 221)(22 ---
yycvvvcvyy
yy kcxxxcxvAd
dEF
222 221)(22 ----
eAFe
xyxy
where
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IQMS Results of modeling
Martensitic transformation after fast (a)/slow(b) cooling at T < MS
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ИКМ Towards of consistent model of polymorphic transformation in steel
1. Effective Hamiltonian (free energy) parameterization from ab-inito
2. Taking into account effect of carbon on BP
energetics and phase equilibrium
3. Taking into account mechanism of plastic relaxation of internal stress associated with transformation
What we need to be happy ?
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IQMS Effect carbon on Bain path and critical points
Description of plastic relaxation is still open
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C=0% C=1%
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Thank you for attention
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Backup
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IQMS Transformation in Fe-c. Results of modeling
Ferrite transformation in Fe-2%C at T=1100K with taking into account carbon distribution (2-nd row) and plastic relaxation(black and white – ferrite two orientations, gray – austenite)
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5E+04 7.5E+04 1E+05 6E+05 2E+06
1 1.37 1.5 15 7.5E+05
Bainite transformation in Fe-2%C at T=900K with taking into account carbon distribution (2-nd row) and plastic relaxation(black and white – ferrite two orientations, gray – austenite)
Proposed model catch main observed features of polymorphic transformation
Effect of magnetism on solubility
•Magnetic state of the host (iron) exerts an influence•Solubility anomaly in Fe-Cu and Fe-Zn at the Curie temperature is the most pronounced effect
A.P. Miodownik, Bulletin of Alloy Phase Diagrams, Volume 2, Issue 4, March 1982, Pages 406-412
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Solubility of 3d elements in bcc iron
•The strongest effect of magnetism is for Cr, Ni, Cu, V, Ti•Sc has the largest relaxation contribution
O.I. Gorbatov, S.V. Okatov, Yu.N. Gornostyrev, P.A. Korzhavyi, A.V. Ruban, 2008
mR
y
Multiscale approach: Application to decomposition and hardening in Fe-Cu alloy
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( I ) Ab-initio calculation of the interaction energy between Cu atoms in bcc Fe
( II ) Monte-Carlo simulations of the alloys decomposition with ab-initio parameters
Prediction solubility Cu in Fe and phase diagramPrecipitate size and morphology vs. time and temperature annealing
( III ) Molecular dynamic modeling of the interaction between dislocation and Cu particles
( IV ) Determination of the shear resistance in dependence on composition and size Cu particles
Assessment strengthening Fe due to embedded Cu nano particles Prediction of treatment regimes to obtain high strength and plasticity
d=4.5nm Dislocation
energy
Dislocation locking
cr
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Effective cluster interactions from SGPM calculations
Precipitation kinetics in Fe-Cu-
Nb
Monte-Carlo modeling with first-principle parameterization
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IQMS Effect carbon on Bain path and critical points
Description of plastic relaxation is still open
0
0.05
0.1
0.15
0.2
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1
a1/a2
)(g
0
0.05
0.1
0.15
0.2
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1
a1/a2 0
0.05
0.1
0.15
0.2
0.65 0.7 0.75 0.8 0.85 0.9 0.95 1
a1/a2
)(g )(g
C=1%C=0% C=3% T,K1184
840
373
FS
BSMS
0 3.4 c, at.%
1000bcc+fcc fcc+Cem
fcc
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ИКМ Towards of consistent model of polymorphic transformation in steel
-
--
rm
mm
r
dCCf
J
dcbaF
jijiji
2
,,
2642
)(),,(
)(
)(
deformation
magnetism
carbon
(FM)
(PM)
1300К
1200К
1100К
1000К (FM)
FeBain path energetics for FM and PM statesFinite T from effective Hamiltonian
The construction of effective Hamiltonian for finite T is nesessary