Quantifying the Micromechanical Failure Processes of LSHR: Characterization, Microstructure Generation, & Simulation Framework Albert Cerrone, Joseph Tucker, Clayton Stein, Anthony Rollett, Anthony Ingraffea 6th Int. Conference on Multiscale Materials Modeling Biopolis, Singapore October 16th, 2012 Research Sponsor AFOSR FA9550-10-1-0213 Dr. David Stargel Overview • LSHR (low solvus, high refractory) disk alloy o nickel-based superalloy o low solvus contributes to resistance to crack quenching o high refractory high tensile strength and creep resistance o processed via powder metallurgy o used in disks of gas turbine engines 20μm • Methodology o quantify microstructurally small fatigue cracks (MSFCs) improve safe life design aid in development of next generation materials 1. by producing high fidelity, 3D finite element models of microstructures 2. from advanced characterization techniques (3D nondestructive orientation mapping) 3. and simulated in a HPC environment using a crystal plasticity framework LSHR 2 Outline • The Workflow o characterization EBSD HEDM o microstructure generation reconstruction synthetic generation 600μm 200μm o meshing surface volume o constitutive modeling crystal plasticity o simulation • Case Study: Crack Initiation Induced by Coherent Σ3 Twin Boundaries • Future Work 3 Workflow 4 Characterization • Scanning Electron Microscopy (w/ EBSD) o electron backscatter diffraction o used to detect crystallographic orientations o often coupled with serial sectioning, a destructive method EBSD Map Pole Figures • High Energy X-Ray Diffraction Microscopy (HEDM) o o o o orientation mapping in 3D spatial information, as well nondestructive the high energy x-rays are uniquely able to penetrate high-Z, fully dense materials Detector stage Rotation stage CCD camera lens X-ray beam Sample stage 5 Characterization wire EDM’d specimen sample 3mm EBSD-HEDM Comparison HEDM 100μm IPF Coloration EBSD 10μm loading direction to our knowledge, first time MSFC located within a 3D non-destructive orientation map 100μm 6 Microstructure Generation • Two Options o reconstruction (authentic representation) align sections segment grains o synthetic generation (statistically representative) DREAM.3D • The voxelated microstructure is then meshed for simulation. voxelated grains containing crack entire volume 600μm 7 Meshing • Surface Meshing o multiple-material marching cubes algorithm o generated with the constraint of conformal boundaries o each grain’s mesh contained in STL file o must volume mesh each grain for 3D FE analysis • Volume Meshing o meshing algorithm 5 x 10 5 Number of Elements 1. octree generation 4 2. advancing front procedure degenerate = 0 equilateral tet = 1 3. mesh improvement 3 a) back-tracking 2 b) smoothing 1 o mesh quality gauged with tetrahedron shape metric * 0 0 0.2 0.4 0.6 0.8 o Parallelized Polycrystal Mesher (PPM) Shape Metric exposes FRANC3D and ABAQUS meshing routines used to mesh synthetic micros of nacre, R88DT, LSHR, AA7075-T651 available at http://www.cfg.cornell.edu/~arc247/PPM/ * Freitag and Knupp, 1999, 8th International Meshing Roundtable. 1 8 Crystal Plasticity • rate, temperature, and grain size sensitive * • 12 FCC octahedral and 6 FCC cubic (high temperature) slip systems • resolved shear stress 𝜏 𝛼 = 𝑠 𝛼 𝐹 𝑒 𝑇 𝐹 𝑒 𝑆 𝑚𝛼 • flow rule 𝛾 𝛼 = 𝛾𝑜 𝛼 1 𝛼 𝑚−1 𝜏 𝜏 𝑔𝛼 𝑔𝛼 • hardness evolution 𝑔𝛼 = 𝐻𝑜 18 𝛽 2 𝜇2 𝑏 2 𝑔𝛼 − 𝑔𝑜 Δ𝑖𝐽 𝑚𝐽𝛼 𝛾 𝛼 + 𝐺𝑜 𝛼 𝛼=1 𝑔𝑠 − 𝑔𝛼 𝑔𝑠 − 𝑔𝑜𝛼 • smaller grains implicitly hardened via ΔiJ term in hardness evolution 18 𝛾𝛼 𝛼=1 𝑝 Δ𝑖𝐽 = 𝜖𝐽𝐾𝐿 𝐹𝑖𝐿,𝐾 • smaller grains explicitly hardened via Hall-Petch o dislocations pile up at grain boundaries o in smaller grains, greater stress required to move dislocations across boundaries o higher applied stress, higher yield strength * Matouš and Maniatty, 2004, IJNME 9 Case Study: Crack Initiation Induced by Coherent Σ3 Twin Boundaries 10 MSFC Characteristics • Nucleation o microcracks nucleate close to coherent Σ3 twin boundaries o twin boundaries are in large, high Schmid factor (soft) grains René88DT twin = 1, matrix = 2 • Propagation 20μm o microcracks propagate along Σ3 twin boundaries o predominant mechanism is transgranular o cracks arrest at highly misoriented grains MSFCs confined to pockets of low misoriented grains image from Miao, Pollock, Jones, 2009, Acta Mater. 11 Nucleation (Hot-Spot ID) Σ3 boundary 75μm Loading • twin embedded in ALA grain • ALA grain assigned high Schmid factor (soft) • ALA grain – nearest neighbor misorientations < 20o 0.5% - 1.0% Applied Strain • 35 steps of smoothing • 10-mil DOFs 12 Future Work • The Workflow o o o o o 3D, nondestructive characterization microstructure generation / reconstruction surface and volume meshing crystal plasticity model formulation simulation 1. Predict nucleation event in microstructures using slip-based damage metrics which follow from crystal plasticity formulation. 2. Determine microstructural dependence on MSFC driving forces. 3. Determine microstructural dependence on MSFC propagation rate law. 13 BACKUP 14 Microstructure Generation • DREAM.3D * o microstructure processing and generation o synthetic microstructure generation 1. input (from characterization) misorientation / orientation aspect ratio grain size distribution (GSD) 2. closed volume packed with ellipsoids representative of GSD 3. simulated annealing optimizes packing 4. cellular automaton nucleates and grows ellipsoids 5. voxelated microstructure output 42.5μm o reconstruction can be used to align, clean, and reconstruct slices of data from serial sectioning and HEDM * dream3d.bluequartz.net 15 Computational Specifics • Finite Element Driver o Finite Element All-Wheel Drive (FEAWD) o scales to 1,024+ cores o built on PETSc, HDF5, and FEMLib • Computational Resource o Ranger (XSEDE resource from Texas Advanced Computing Center) • Performance 5 92-sec 92-sec 4.5 speedup plot 12.8-mil DOFs Speedup Speedup 4 3.5 113-sec 113-sec 3 2.5 2 1.5 1 394-sec 0.5 10 20 394-sec 30 40 50 60 Number of Nodes (16 cores per node) 70 Number of Nodes (16 cores per node) 16 Shape Metric 3/𝜅𝑤 𝐴𝑛 metric 𝜅𝑤 𝐴𝑛 = 𝐴𝑛 𝑊 −1 𝐴𝑛 = −1 𝑛 𝐴𝑛 𝑊 −1 −1 𝑒𝑛+1,𝑛 𝑒𝑛+2,𝑛 𝑒𝑛+3,𝑛 ea,b is an edge vector from vertex a to vertex b of the tetrahedron n denotes the vertex number W is the Jacobian of the linear transformation between a unit equilateral tetrahedron and the reference configuration 17 HEDM 1) 50-100 kilo-electron volt X-ray beam 2) Beam illuminates thin plan section of sample 3) Bragg spots are imaged on CCD detectors 4) Measuring a set of spots from multiple sample-to-detector distances yields the position of the diffracted grain 18 Material State Mapping CP model asserts volume preserving plastic deformation. 𝐹𝑝 = 𝐹𝑝 det 𝐹𝑝 𝑚𝑎𝑝 𝑚𝑎𝑝 1/3 multiplicative decomposition 𝐹 = 𝐹𝑝 ∙ 𝐹𝑒 19 ΔCTD Criterion 𝑑𝑎 = 𝐺 Δ𝐶𝑇𝐷 − Δ𝐶𝑇𝐷𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 𝑑𝑁 da = crack growth increment dN = cycle increment ΔCTD = cyclic change in crack tip displacement ΔCTDcritical = minimum crack tip displacement required for propagation G = material constant (0.3-0.5, dependent on material, strain, and strain ratio) Crack opening is the dominant MSFC propagation rate mechanism in Stage II. Stage I: sliding dominated: along the slip systems(s) most favorably aligned with the direction(s) of maximum shear stress Stage II: opening dominated: in the direction normal to maximum tangential stress ahead of the crack front blunting: the cyclic change in crack displacement near the crack tip (CTD) 20 Schmid Factor 𝜏 𝑚= 𝜎 𝜏 critical resolved shear stress 𝜎 applied stress 𝑚 = cos 𝜅 cos 𝜆 𝜅 angle between loading direction and slip plane normal 𝜆 angle between loading direction and slip direction 21 Voce-Kocks Voce Law 𝜎 = 𝜎𝑠 − 𝜎𝑠 − 𝜎𝑜 −𝜖 exp 𝜖𝑜 σ macroscopic true stress ε true plastic strain σs saturation stress extrapolated to zero work-hardening rate σo initial or threshold stress at which homogeneous plastic deformation begins to be appreciable Kocks temperature and strain rate 22 The Saltykov Method to Predict 3D Grain Size Distributions • alternative to linear-intercept and sphere-equivalent methods • predicts grains per unit volume from grains per unit area • assumes all grains are spheres • grains assumed equiaxed 2D map to estimate 3D grains • grain sizes are binned based on intersection probability of a sphere with a section plane 23 Volume Meshing • octree generation o constructed around the grain o refined to the element sizes of the surface mesh, and then to the largest cell size on the boundary • advancing front o meshes inward from boundary, discretizing volume with quadratic tetrahedra o facets on grain boundary unchanged, preserving conformity between adjacent grains • mesh cleaning o smoothing o back-tracking 24