Solute effect on twinning deformation in Mg alloys
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1 Solute effect on twinning deformation in Mg alloys A. Luque1, M. Ghazisaeidi2, W.A. Curtin1 1 Institute of Mechanical Engineering, École Polytechnique Fédérale de Lausanne, Switzerland 2 Department of Materials Science and Engineering, Ohio State University, USA Supported by ERC grant # Predictive Computational Metallurgy, EPFL & NSF-GOALI grant # International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain)
2 INTRODUCTION Mg & Mg Alloys Magnesium: Excellent candidate for low-weight structural applications Limited ductility due to strong plastic anisotropy Twinning is one of e main deformation mechanisms Magnesium alloys: Substitutional elements (Al, Zn...; rare-ears: Gd, Y...) CRSS modification & optimization of processing route & texture Improved ductility & formability Lack of understanding of e effect of solutes on Interface structures & energies Solute-dislocation interactions Twinning: What is e intervening mechanism? What is e activation stress? What is e role of solute fluctuations? What is e effect of segregation? What are e implications in real materials? 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 2
3 INTRODUCTION The {10-12}<-1011> (Tension) Twin Twin boundary: symmetrical tilt boundary wi a misorientation of ~87º Twinning: creation of a twinning dislocation (btw ~ Å) wi step character (h ~ 3.86 Å): mechanism of nucleation & grow not well-established Twin #1 Twin dislocation (0001) <10-12> h No diffusion (0001) Twin #2 Symmetry conservation Initial state Nucleated state We propose: A stress-driven, ermally-activated mechanism for nucleation & grow Pure Mg & Mg solid-solution alloys Material parameters: Twin dislocation line energy (MD) Solute/twin-boundary interaction energies (DFT) 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 3
4 THE MODEL MD simulations Material: Mg-Al: a reliable EAM potential exists Geometry: x // <-1011>, y // <-1210> & z // <10-12> Lx = 12.1 nm, Ly = 6.4 nm, Lz = 50.0 nm Size effects on nucleation energetics are accounted for: Interactions wi periodic images Limited fluctuations Boundary conditions: Periodic boundary conditions along x, y & z Control of σ x, σ y, σ z & τ xz Elastic anisotropy of e material Intrinsic interface stress Individual events, long quiescent periods Simulation conditions: T = 300 K Pure Mg & Random Mg alloy (1, 3, 5 at.% Al) Constant shear stress tests: migration rates τ Grain 1 Twin boundary Grain 2 Twin boundary y Grain 1 z τ x 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 4
5 Critical-size (L*) loop τ Initial (flat) twin boundary Nucleation τ Thermal vibrations Embryos (L<L*: disappear) Grow Grow Grow Final twin boundary (color code: z coordinate; only atoms belonging to e twin boundary are showed)
6 THE MODEL Pure Mg Energy analysis (nucleation of loop of size L): NO interface energy change Mechanical driving force ~ τ Dislocation line energy ~ Γ τ L1 Γ L* τ L2 L3 * Critical condition: * Critical loop size: * Stability condition: * Migration rate (Arrhenius model): * Energy barrier: Σ/L*2: atoms involved in nucleation; D2/L*2: possible nucleation sites 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 6
7 ATOMISTIC RESPONSE Pure Mg MD results (1 m/s) Fit Γ = 4.23 mev/å ν0 = 17 THz The model works in pure Mg (1 mm/s) 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 7
8 ATOMISTIC RESPONSE Randomly-distributed solutes MD results (Just eye-guiding lines) Randomly-distributed solutes enhance e migration rate Experimentally-relevant stresses & concentrations Fit Γ = 4.23 mev/å ν0 = 17 THz 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 8
9 THE MODEL Solute/twin-boundary interaction energies 'Structural' symmetry conservation (NO diffusion!): 8 unique sites: 1 5, 2 6, 3 7 & 4 8 Solutes interact wi e twin boundary: Attractive (binding) & Repulsive interaction energies Solutes breaks e energetic symmetry Solutes provide a driving or retarding force for migration Site (ev) International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 9
10 THE MODEL Effect of solutes Additional energy term associated to e interface Consider one Al solute laying on site 1; after twin migration (no diffusion) it occupies a site 5: The associated energy is E5 E1 If positive, nucleation is hindered If negative, nucleation is facilitated Mg-Al 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 10
11 THE MODEL Effect of solutes How does is relates to concentration/segregation ci & concentration fluctuations? Average number of occupied sites i is Standard deviation in e number of occupied sites i is Current number of occupied sites i is ci αi αi1 L1 L* αi2 L2 Magnitude of fluctuations associated wi site i (if N large, αi Gaussian) Therefore, energy change associated wi sites 1 and 5: Segregation Statistical fluctuations 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 11
12 THE MODEL Effect of solutes When it comes to energy maximization & determination of L*: Concentration/segregation, related to e state of e entire twin area Fluctuations vary from place to place (favorable fluctuations) The critical condition yields, for τ > τpin (stability condition): * Critical loop size: * Energy barrier: where and 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 12
13 THE MODEL Effect of solutes Statistical analysis provides fluctuations accurately: α i gets e largest probable value so Γ is maximum * Migration rate: wi If ci = c: τpin = 0 αi = α ~ {α1,α2,α5,α6}(a) {α1,α2,α5,α6}(b) {α1,α2,α5,α6}(f) {α1,α2,α5,α6}(c) {α1,α2,α5,α6}(d) {α1,α2,α5,α6}(e) {α1,α2,α5,α6}(g) {α1,α2,α5,α6}(h) {α1,α2,α5,α6}(i) {α1,α2,α5,α6}(l) {α1,α2,α5,α6}(m) {α1,α2,α5,α6}(n) {α1,α2,α5,α6}(*) Nucleation occurs where e largest favorable fluctuations can be found {α1,α2,α5,α6}(j) {α1,α2,α5,α6}(k) L* 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 13
14 VALIDATION OF THE MODEL Random solutes MD results NO extra adjustable parameters Fit Γ = 4.23 mev/å ν0 = 17 THz Predictions 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 14
15 IMPLICATIONS FOR REAL MATERIALS Segregation Segregation: Nie et al Science 340: polycrystalline Mg-0.2%at. Gd samples Annealing conditions (150 ºC, 3h): c2=0.76, c6=0.01, c1=c5=0 τpin = 2.1 GPa As-cast, recompressed (4.5%): grow of e existing twins & nucleation of new twins As-cast, compressed (2.5%): nucleation of twins (τ ~ 25 MPa) Annealed & recompressed (4.5%): nucleation of new twins (τ ~ 40 MPa) 24 International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 15
16 CONCLUSIONS We propose a new mechanism for e ickening of an existing twin Energetic model based on: Solute/twin interactions & dislocation line energy Segregation & concentration fluctuations (statistical analysis) Validated by means of carefully-controlled MD simulations We successfully apply it to evaluate several observations in Mg alloys: Randomly-distributed solutes enhance e migration process (detwinning) Segregation of solutes inhibits e migration process Nie et al Science International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain) 16
17 Solute effect on twinning deformation in Mg alloys A. Luque1, M. Ghazisaeidi2, W.A. Curtin1 1 Institute of Mechanical Engineering, École Polytechnique Fédérale de Lausanne, Switzerland 2 Department of Materials Science and Engineering, Ohio State University, USA Supported by ERC grant # Predictive Computational Metallurgy, EPFL & NSF-GOALI grant # International Workshop on Computational Micromechanics of Materials, 1-3 October Madrid (Spain)
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