Demo workflows#
These workflow templates are included in MatFlow as demonstrations. You can copy a demo workflow template to somewhere accessible using the CLI like this:
matflow demo-workflow copy WORKFLOW_NAME DESTINATION
where WORKFLOW_NAME is the name of one of the demo workflows, and DESTINATION is the
target copy location, which can be a directory (e.g. "." for the current
working directory, or a full file path).
In the Python API, we can copy a demo workflow template file like this:
import matflow as mf
mf.copy_demo_workflow(name, dst)
RVE_extrusion_EBSD#
A workflow to generate a volume element from EBSD data that is extruded in the z-direction. The volume element is modified to include a buffer zone, and uniaxial tension is simulated using DAMASK.
Note: this is a work-in-progress, and material parameters may need to be updated.
RVE_extrusion_EBSD.yaml
tasks:
- schema: load_microstructure_EBSD
inputs:
root_path: <<demo_data_file:defdap_small_dataset>>
scaling_factor: 0.5
EBSD:
filename: ebsd_data
flip_vert: true # optional
boundary_tol: 8 # optional
min_grain_size: 30 # optional
- schema: generate_volume_element_extrusion
inputs:
depth: 8
image_axes: [y, x]
homog_label: SX
phase_label: Ti
- schema: visualise_VE_VTK
- schema: modify_VE_add_buffer_zones
inputs:
buffer_sizes: [4, 4, 4, 4, 2, 2] # size of buffer on each face [-x, +x, -y, +y, -z, +z]
phase_ids: [1, 1, 1, 1, 2, 2] # phase of each buffer. Relative, so 1 is the first new phase and so on
phase_labels: [Ti_iso, Air] # labels of the new phases
homog_label: SX
order: [z, y, x] # order to add the zones, default [x, y, z]
- schema: visualise_VE_VTK
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 30
num_increments: 30
target_def_grad_rate: 1.0e-4
direction: x
homogenization:
SX:
mechanical:
type: pass
N_constituents: 1
damask_phases:
Ti:
lattice: hP
c/a: 1.587
mechanical:
output: [F, F_p, P, O]
elastic:
type: Hooke
C_11: 160.0e9
C_12: 90.0e9
C_13: 66.0e9
C_33: 181.7e9
C_44: 46.5e9
plastic:
type: phenopowerlaw
output: [gamma_sl]
N_sl: [3, 3, 0, 12] # basal, prism, -, 1. pyr<c+a>
n_sl: 20
a_sl: 2
dot_gamma_0_sl: 0.001
xi_0_sl: [349.e+6, 150.e+6, 0.0, 1107.e+6] # C. Zambaldi et al.
xi_inf_sl: [568.e+6, 150.e+7, 0.0, 3420.e+6] # C. Zambaldi et al.
h_0_sl-sl: 15.e6
h_sl-sl: [+1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, +1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # unused entries are indicated by -1.0
Ti_iso:
lattice: cF
mechanical:
output: [F, P]
elastic:
type: Hooke
C_11: 175.5e9
C_12: 90.4e9
C_44: 42.55e9 # isotropic value: 0.5*(C_11-C_12)
plastic:
type: none
Air:
lattice: cF
mechanical:
output: [F, P]
elastic:
type: Hooke
C_11: 1e8
C_12: 1e6
C_44: 49.5e6 # isotropic value: 0.5*(C_11-C_12)
plastic:
type: isotropic
output: [xi, gamma]
xi_0: 0.3e6
xi_inf: 0.6e6
dot_gamma_0: 0.001
n: 5
M: 3
h_0: 1e6
a: 2
dilatation: true
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {}
- name: add_strain
args: {F: F, t: U, m: 2}
opts: {}
VE_response_data:
# Use for average quantities in a single phase, say average stress/strain at each step of sim
phase_data:
- field_name: sigma
phase_name: Ti
out_name: vol_avg_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_U^2(F)
phase_name: Ti
out_name: vol_avg_strain
transforms: [mean_along_axes: 1]
# Use to extract spatial data from (probably a subset of increments)
field_data:
- field_name: epsilon_U^2(F)
increments:
- values: [10, 20, 30]
- field_name: sigma
increments:
- start: 10
stop: 30
step: 10
- field_name: O
increments:
- values: [10, 20, 30]
- field_name: u_n
increments:
- values: [10, 20, 30]
- field_name: grain # Grain mapping
- field_name: phase # Phase mapping
# Use to extract grain averaged data
grain_data:
- field_name: epsilon_U^2(F)
increments:
- values: [10, 20, 30]
- field_name: sigma
increments:
- values: [10, 20, 30]
- field_name: O
increments:
- values: [10, 20, 30]
damask_numerics:
grid:
itmin: 2
itmax: 100
derivative: FWBW_difference
RVE_extrusion_EBSD_DIC#
A workflow to generate a volume element from EBSD and DIC data that is extruded in the z-direction. The volume element is modified to include a buffer zone, and uniaxial tension is simulated using DAMASK.
Note: this is a work-in-progress, and material parameters may need to be updated.
RVE_extrusion_EBSD_DIC.yaml
tasks:
- schema: load_microstructure_EBSD_DIC
inputs:
transform_type: affine
root_path: <<demo_data_file:defdap_small_dataset>>
scaling_factor: 0.5
DIC:
filename: dic_data.txt
crop: [15, 28, 30, 15] # optional
scale: 1.328e-2 # microns per pixel, optional
min_grain_size: 20 # optional
homog_points:
- [452, 322]
- [200, 417]
- [159, 144]
- [352, 269]
- [102, 33]
- [500, 48]
- [295, 245]
- [176, 437]
- [61, 382]
- [391, 398]
- [240, 208]
EBSD:
filename: ebsd_data
flip_vert: true # optional
boundary_tol: 8 # optional
min_grain_size: 10 # optional
homog_points:
- [780, 606]
- [374, 816]
- [285, 385]
- [612, 543]
- [186, 218]
- [839, 149]
- [516, 519]
- [335, 856]
- [145, 794]
- [686, 743]
- [424, 470]
- schema: generate_volume_element_extrusion
inputs:
depth: 8
image_axes: [y, x]
homog_label: SX
phase_label: Ti
- schema: visualise_VE_VTK
- schema: modify_VE_add_buffer_zones
inputs:
buffer_sizes: [4, 4, 4, 4, 2, 2] # size of buffer on each face [-x, +x, -y, +y, -z, +z]
phase_ids: [1, 1, 1, 1, 2, 2] # phase of each buffer. Relative, so 1 is the first new phase and so on
phase_labels: [Ti_iso, Air] # labels of the new phases
homog_label: SX
order: [z, y, x] # order to add the zones, default [x, y, z]
- schema: visualise_VE_VTK
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 30
num_increments: 30
target_def_grad_rate: 1.0e-4
direction: x
homogenization:
SX:
mechanical:
type: pass
N_constituents: 1
damask_phases:
Ti:
lattice: hP
c/a: 1.587
mechanical:
output: [F, F_p, P, O]
elastic:
type: Hooke
C_11: 160.0e9
C_12: 90.0e9
C_13: 66.0e9
C_33: 181.7e9
C_44: 46.5e9
plastic:
type: phenopowerlaw
output: [gamma_sl]
N_sl: [3, 3, 0, 12] # basal, prism, -, 1. pyr<c+a>
n_sl: 20
a_sl: 2
dot_gamma_0_sl: 0.001
xi_0_sl: [349.e+6, 150.e+6, 0.0, 1107.e+6] # C. Zambaldi et al.
xi_inf_sl: [568.e+6, 150.e+7, 0.0, 3420.e+6] # C. Zambaldi et al.
h_0_sl-sl: 15.e6
h_sl-sl: [+1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, +1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # unused entries are indicated by -1.0
Ti_iso:
lattice: cF
mechanical:
output: [F, P]
elastic:
type: Hooke
C_11: 175.5e9
C_12: 90.4e9
C_44: 42.55e9 # isotropic value: 0.5*(C_11-C_12)
plastic:
type: none
Air:
lattice: cF
mechanical:
output: [F, P]
elastic:
type: Hooke
C_11: 1e8
C_12: 1e6
C_44: 49.5e6 # isotropic value: 0.5*(C_11-C_12)
plastic:
type: isotropic
output: [xi, gamma]
xi_0: 0.3e6
xi_inf: 0.6e6
dot_gamma_0: 0.001
n: 5
M: 3
h_0: 1e6
a: 2
dilatation: true
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {}
- name: add_strain
args: {F: F, t: U, m: 2}
opts: {}
VE_response_data:
# Use for average quantities in a single phase, say average stress/strain at each step of sim
phase_data:
- field_name: sigma
phase_name: Ti
out_name: vol_avg_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_U^2(F)
phase_name: Ti
out_name: vol_avg_strain
transforms: [mean_along_axes: 1]
# Use to extract spatial data from (probably a subset of increments)
field_data:
- field_name: epsilon_U^2(F)
increments:
- values: [10, 20, 30]
- field_name: sigma
increments:
- start: 10
stop: 30
step: 10
- field_name: O
increments:
- values: [10, 20, 30]
- field_name: u_n
increments:
- values: [10, 20, 30]
- field_name: grain # Grain mapping
- field_name: phase # Phase mapping
# Use to extract grain averaged data
grain_data:
- field_name: epsilon_U^2(F)
increments:
- values: [10, 20, 30]
- field_name: sigma
increments:
- values: [10, 20, 30]
- field_name: O
increments:
- values: [10, 20, 30]
damask_numerics:
grid:
itmin: 2
itmax: 100
derivative: FWBW_difference
cubic_textures#
A simple workflow to demonstrate sampling common “named” cubic textures. Euler angles are taken from L. A. I. Kestens & H. Pirgazi (2016) Texture formation in metal alloys with cubic crystal structures, Materials Science and Technology, 32:13, 1303-1315, DOI: 10.1080/02670836.2016.1231746.
cubic_textures.yaml
tasks:
- schema: sample_texture_from_model_ODF_mtex
inputs:
crystal_symmetry: cubic
specimen_symmetry: orthorhombic
num_orientations: 2000
ODF_components:
- type: unimodal
component_fraction: 1.0
halfwidth: 5
compile: false
sequences:
- path: inputs.ODF_components.0.modal_orientation_euler
values:
- [90, 35, 45] # Copper
- [59, 37, 63] # S
- [0, 45, 90] # Goss
- [35, 45, 90] # Brass
- [90, 27, 45] # Dillamore
- [0, 0, 0] # Cube
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic # so we only see one orientaion on the pole figure
pole_figure_directions:
- [1, 1, 1]
compile: false
damask_input_files#
Demonstration of passing DAMASK input files (load case file, geometry file, and material file) directly to the simulate_VE_loading_damask task. Input parameters that are used to generate these input files need not be passed.
damask_input_files.yaml
tasks:
- schema: simulate_VE_loading_damask
input_files:
damask_load_file: <<demo_data_file:load.yaml>>
damask_geom_file: <<demo_data_file:geom.vti>>
damask_material_file: <<demo_data_file:material.yaml>>
inputs:
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Al
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Al
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Al
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 20
damask_numerics#
Demonstration of providing custom numerics options to DAMASK via the numerics.yaml file. For a list of supported numerics keys, look in the demo-data file numerics_example.yaml; you can copy this file to your current working directory with this command: matflow demo-data copy numerics_example.yaml .
damask_numerics.yaml
tasks:
- schema: simulate_VE_loading_damask
input_files:
damask_load_file: <<demo_data_file:load.yaml>>
damask_geom_file: <<demo_data_file:geom.vti>>
damask_material_file: <<demo_data_file:material.yaml>>
inputs:
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Al
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Al
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Al
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 20
damask_numerics:
grid:
itmin: 2
itmax: 100
derivative: FWBW_difference
fit_single_crystal_parameters#
Fit single crystal parameters using an experimental uniaxial tension stress-strain curve and an iterative Levenberg-Marquardt fitting process.
fit_single_crystal_parameters.yaml
loops:
- num_iterations: 2
tasks: [3, 4]
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 2000
phase_label: Al
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [32, 32, 32]
- schema: read_tensile_test_from_CSV
inputs:
CSV_file_path: <<demo_data_file:surfalex_tensile_test.csv>>
CSV_arguments:
delimiter: ','
skip_rows: 0
header_row: 1
eng_strain_col_index: 0
eng_stress_col_index: 1
stress_units: MPa
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 3500
num_increments: 170
direction: x
target_def_grad_rate: 1.0e-4
dump_frequency: 1
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
single_crystal_parameters:
phases:
Al:
h_0_sl-sl: 400e6
xi_0_sl: [30e6]
xi_inf_sl: [95e6]
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_p]
elastic:
type: Hooke
C_11: 106750000000
C_12: 60410000000
C_44: 28340000000
plastic:
type: phenopowerlaw
single_crystal_parameters: Al
N_sl: [12]
a_sl: 2.25
atol_xi: 1
dot_gamma_0_sl: 0.001
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: U, m: 0}
opts: {add_Mises: true}
VE_response_data:
volume_data:
- out_name: vol_avg_stress
field_name: sigma
transforms: [mean_along_axes: 1]
- out_name: vol_avg_strain
field_name: epsilon_U^0(F)
transforms: [mean_along_axes: 1]
sequences:
- path: inputs.single_crystal_parameters.perturbations
values:
-
- multiplicative: 1.05
path: [Al, h_0_sl-sl]
- multiplicative: 1.05
path: [Al, xi_0_sl, 0]
- multiplicative: 1.05
path: [Al, xi_inf_sl, 0]
groups:
- name: fit_single_crystal_parameters
- schema: fit_single_crystal_parameters
inputs:
initial_damping: [2.0, 1.0, 0.5]
fit_yield_funcs#
A workflow to fit yield functions to crystal plasticity simulations.
fit_yield_funcs.yaml
tasks:
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
orientations::from_random:
number: 4
microstructure_seeds::from_random:
box_size: [1, 1, 1]
num_seeds: 4
phase_label: Al
- schema: define_load_case
element_sets:
- inputs:
load_case::uniaxial:
total_time: 100
num_increments: 200
direction: x
target_def_grad_rate: 1.0e-3
- inputs:
load_case::random_3D:
total_time: 100
num_increments: 200
target_def_grad: 1.0e-1
groups:
- name: multiaxial_load_cases
repeats: 6
- schema: simulate_VE_loading_damask
inputs:
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 106750000000
C_12: 60410000000
C_44: 28340000000
plastic:
type: phenopowerlaw
N_sl: [12]
a_sl: 2.25
atol_xi: 1
dot_gamma_0_sl: 0.001
h_0_sl-sl: 75.0e+6
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
xi_0_sl: [31.0e+6]
xi_inf_sl: [63.0e+6]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {}
- name: add_strain
args: {F: F_p, t: U, m: 0}
opts: {}
VE_response_data:
volume_data:
- out_name: vol_avg_stress
field_name: sigma
transforms: [mean_along_axes: 1]
- out_name: vol_avg_plastic_strain
field_name: epsilon_U^0(F_p)
transforms: [mean_along_axes: 1]
- schema: fit_yield_function
inputs:
yield_function_name: Hill1948
yield_point_criteria:
threshold: equivalent_plastic_strain
values: [2.0e-3, 1.0e-2]
input_sources:
VE_response[uniaxial]:
- source_type: task
task_ref: simulate_VE_loading_damask
where:
path: inputs.load_case.type
condition:
value.equal_to: uniaxial
VE_response[multiaxial]:
- source_type: task
task_ref: simulate_VE_loading_damask
where:
path: inputs.load_case.type
condition:
value.equal_to: random_3D
generate_volume_element_from_statistics#
This simple workflow generates a pipeline.json file, and then runs it with Dream.3D’s PipelineRunner command. Phases can be specified and parametrised as if using the “Stats Generator” filter in the Dream.3D GUI.
In the second task, we demonstrate using a set of orientations to define a textured volume element. In the third task, we use an ODF preset to the same effect.
generate_volume_element_from_statistics.yaml
tasks:
- schema: generate_volume_element_from_statistics
inputs:
grid_size: [128, 128, 256]
size: [1, 1, 2]
phase_statistics:
- type: primary
name: Al
crystal_structure: cubic
volume_fraction: 1.00 # `volume_fraction` for all phases must sum to 1!
size_distribution:
ESD_mean: 0.3 # Specify either `ESD_mean` or `ESD_log_mean`
ESD_log_stddev: 0.1
num_bins: 10 # Specify either `num_bins` or `bin_step_size
- schema: generate_volume_element_from_statistics
inputs:
grid_size: [128, 128, 256]
size: [1, 1, 2]
orientations:
representation:
type: euler
euler_is_degrees: true
euler_definition: bunge
unit_cell_alignment: {x: a, y: b, z: c}
data: [[0, 0, 0], [0, 45, 0]] # defined "cube" and "goss" texture components
phase_statistics:
- type: primary
name: Al
crystal_structure: cubic
volume_fraction: 1.00 # `volume_fraction` for all phases must sum to 1!
size_distribution:
ESD_mean: 0.3 # Specify either `ESD_mean` or `ESD_log_mean`
ESD_log_stddev: 0.1
num_bins: 10 # Specify either `num_bins` or `bin_step_size`
ODF:
weights: [100_000, 200_000] # specify a list of length equal to `orientations` or a single number
sigmas: [2, 1] # specify a list of length equal to `orientations` or a single number
- schema: generate_volume_element_from_statistics
inputs:
grid_size: [128, 128, 256]
size: [1, 1, 2]
phase_statistics:
- type: primary
name: Al
crystal_structure: cubic
volume_fraction: 1.00 # `volume_fraction` for all phases must sum to 1!
size_distribution:
ESD_mean: 0.3 # Specify either `ESD_mean` or `ESD_log_mean`
ESD_log_stddev: 0.1
num_bins: 10 # Specify either `num_bins` or `bin_step_size`
ODF:
presets:
- name: cube # | "goss" | "brass" | "copper" | "s" | "s1" | "s2" | "rc(rd1)" | "rc(rd2)" | "rc(nd1)" | "rc(nd2)" | "p" | "q" | "r"
weight: 100_000
sigma: 2
- name: goss
weight: 200_000
sigma: 1
modify_volume_element_grid_size#
Workflow to generate a volume element, then increase the grid size, and visualise the original and modified volume elements.
modify_volume_element_grid_size.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 4
phase_label: Al
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
- schema: visualise_VE_VTK
- schema: modify_VE_grid_size
inputs:
new_grid_size: [16, 16, 16]
- schema: visualise_VE_VTK
read_tensile_test_CSV#
Read tensile test data from a CSV file.
read_tensile_test_CSV.yaml
tasks:
- schema: read_tensile_test_from_CSV
inputs:
CSV_file_path: <<demo_data_file:surfalex_tensile_test.csv>>
CSV_arguments:
delimiter: ','
skip_rows: 0
header_row: 1
eng_strain_col_index: 0
eng_stress_col_index: 1
stress_units: MPa
sample_orientations_CRC_file#
Demonstration of a task to sample a subset of orientations from a CRC file using MTEX, and produce pole figures of the sampled orientations. Note that directory to which the CRC_file_path points should also contain a CPR file with the same file name stem as the CRC file.
Note that sample_orientations schemas pick a random subset of orientations from the EBSD data, whereas the sample_texture schemas first construct an orientation distribution function (ODF), from which orientations are then sampled.
sample_orientations_CRC_file.yaml
tasks:
- schema: sample_orientations_from_CRC_file_mtex
inputs:
CRC_file_path: <<demo_data_file:texture_Al_CRC>>/texture_Al.crc
EBSD_reference_frame_transformation: convertEuler2SpatialReferenceFrame
specimen_symmetry: cubic
EBSD_phase: Al
EBSD_rotation:
num_orientations: 1000
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
sample_orientations_CTF_file#
Demonstration of a task to sample a subset of orientations from a CTF file using MTEX, and produce pole figures of the sampled orientations.
Note that sample_orientations schemas pick a random subset of orientations from the EBSD data, whereas the sample_texture schemas first construct an orientation distribution function (ODF), from which orientations are then sampled.
sample_orientations_CTF_file.yaml
tasks:
- schema: sample_orientations_from_CTF_file_mtex
inputs:
CTF_file_path: <<demo_data_file:texture_Al.ctf>>
EBSD_reference_frame_transformation: convertEuler2SpatialReferenceFrame
specimen_symmetry: cubic
EBSD_phase: Al
EBSD_rotation:
num_orientations: 1000
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
sample_texture_CRC_file#
Demonstration of a task to sample texture from a CRC file using MTEX, and produce pole figures of the sampled orientations. Note that directory to which the CRC_file_path points should also contain a CPR file with the same file name stem as the CRC file.
sample_texture_CRC_file.yaml
tasks:
- schema: sample_texture_from_CRC_file_mtex
inputs:
CRC_file_path: <<demo_data_file:texture_Al_CRC>>/texture_Al.crc
EBSD_reference_frame_transformation: convertEuler2SpatialReferenceFrame
specimen_symmetry: cubic
EBSD_phase: Al
EBSD_rotation:
num_orientations: 1000
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
sample_texture_CTF_file#
Demonstration of a task to sample texture from a CTF file using MTEX, and produce pole figures of the sampled orientations.
sample_texture_CTF_file.yaml
tasks:
- schema: sample_texture_from_CTF_file_mtex
inputs:
CTF_file_path: <<demo_data_file:texture_Al.ctf>>
EBSD_reference_frame_transformation: convertEuler2SpatialReferenceFrame
specimen_symmetry: cubic
EBSD_phase: Al
EBSD_rotation:
num_orientations: 1000
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
sample_texture_ODF_mat#
Demonstration of a task to sample texture from an MTEX ODF object stored in a binary .mat file, and produce pole figures of the sampled orientations.
sample_texture_ODF_mat.yaml
tasks:
- schema: sample_texture_from_ODF_mat_file_mtex
inputs:
ODF_mat_file_path: <<demo_data_file:ODF.mat>>
num_orientations: 1000
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
sample_texture_model_ODF#
Demonstration of a task to sample texture from a model orientation distribution function (ODF) using MTEX, and produce pole figures of the sampled orientations.
sample_texture_model_ODF.yaml
tasks:
- schema: sample_texture_from_model_ODF_mtex
inputs:
crystal_symmetry: hexagonal
specimen_symmetry: orthorhombic
num_orientations: 1000
ODF_components:
- type: unimodal
component_fraction: 0.4 # component fractions must sum to 1!
modal_orientation_HKL: [0, 0, 1]
modal_orientation_UVW: [1, 0, 0]
halfwidth: 15
- type: unimodal
component_fraction: 0.3 # component fractions must sum to 1!
modal_orientation_euler: [0, 0, 10] # in Bunge/degrees/MTEX hex alignment (y//b)
halfwidth: 5
- type: uniform
component_fraction: 0.3 # component fractions must sum to 1!
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: hexagonal
pole_figure_directions:
- [0, 0, 0, 1]
- [1, 0, -1, 0]
- [1, 1, -2, 0]
use_contours: true
compile: false
sample_texture_random#
Demonstration of a task to sample texture randomly using MTEX, and produce pole figures of the sampled orientations.
sample_texture_random.yaml
tasks:
- schema: sample_texture_random_mtex
inputs:
specimen_symmetry: cubic
num_orientations: 1000
crystal_symmetry: cubic
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [0, 0, 1]
- [1, 0, 1]
- [1, 1, 1]
use_contours: false
compile: false
simulate_yield_surface_2D#
This workflow uses DAMASK full-field crystal plasticity simulations to generate yield surfaces for an aluminium material with different strong textures.
simulate_yield_surface_2D.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 1024
phase_label: Al
- schema: sample_texture_from_model_ODF_mtex
inputs:
crystal_symmetry: cubic
specimen_symmetry: orthorhombic
num_orientations: 1024
ODF_components:
- type: unimodal
component_fraction: 1.0
halfwidth: 3
compile: false
sequences:
- path: inputs.ODF_components.0.modal_orientation_euler
values:
- [90, 35, 45] # Copper
- [59, 37, 63] # S
- [0, 45, 90] # Goss
- [35, 45, 90] # Brass
- [0, 0, 0] # Cube
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic
pole_figure_directions:
- [1, 1, 1]
compile: false
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [64, 64, 64]
scale_morphology: [1, 0.8, 0.48]
- schema: visualise_VE_VTK
- schema: define_load_case
inputs:
load_case:
steps:
- total_time: 80
num_increments: 400
target_def_grad_rate:
- [0.0, 0.0, x]
- [0.0, 0.0, x]
- [0.0, 0.0, x]
stress:
- [x, x, 0.0]
- [x, x, 0.0]
- [x, x, 0.0]
dump_frequency: 1
sequences:
- path: inputs.load_case.steps.0.target_def_grad_rate.0.0
values::from_rectangle:
start: [-0.0002, -0.0002]
stop: [+0.0002, +0.0002]
num: [17, 17]
coord: 0
- path: inputs.load_case.steps.0.target_def_grad_rate.1.1
values::from_rectangle:
start: [-0.0002, -0.0002]
stop: [+0.0002, +0.0002]
num: [17, 17]
coord: 1
- schema: simulate_VE_loading_damask
nesting_order:
inputs.volume_element: 0
inputs.load_case: 1
inputs.load_case.steps.0.target_def_grad_rate.0.0: 1
inputs.load_case.steps.0.target_def_grad_rate.1.1: 1
inputs:
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 107.3e+9
C_12: 60.9e+9
C_44: 28.3e+9
plastic:
type: phenopowerlaw
N_sl: [12]
a_sl: 1.499
atol_xi: 1
dot_gamma_0_sl: 0.001
h_0_sl-sl: 912.2e+6 # come from 60C results
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
xi_0_sl: [138.2e+6]
xi_inf_sl: [300.9e+6]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
- name: add_strain
args: {F: F_p, t: U, m: 1}
VE_response_data:
phase_data:
- field_name: sigma
phase_name: Al
out_name: vol_avg_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_U^1(F_p)
phase_name: Al
out_name: vol_avg_plastic_strain
transforms: [mean_along_axes: 1]
simulate_yield_surface_2D_brass#
WIP: This workflow uses DAMASK full-field crystal plasticity simulations to generate a yield surface for an aluminium material with the Brass texture.
simulate_yield_surface_2D_brass.yaml
tasks:
- schema: sample_texture_from_model_ODF_mtex
inputs:
crystal_symmetry: cubic
specimen_symmetry: orthorhombic
num_orientations: 1024
ODF_components:
- type: unimodal
component_fraction: 1.0
modal_orientation_HKL: [1, 1, 0]
modal_orientation_UVW: [1, -1, 2]
halfwidth: 5
compile: false
- schema: visualise_orientations_pole_figure_mtex
inputs:
crystal_symmetry: cubic # so we only see one orientaion on the pole figure
pole_figure_directions:
- [1, 1, 1]
compile: false
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 1024
phase_label: Al
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [64, 64, 64]
scale_morphology: [1, 0.8, 0.48]
- schema: visualise_VE_VTK
- schema: define_load_case
inputs:
load_case:
steps:
- total_time: 100
num_increments: 500
target_def_grad_rate:
- [0.0, 0.0, x]
- [0.0, 0.0, x]
- [0.0, 0.0, x]
stress:
- [x, x, 0.0]
- [x, x, 0.0]
- [x, x, 0.0]
dump_frequency: 1
sequences:
- path: inputs.load_case.steps.0.target_def_grad_rate.0.0
values::from_rectangle:
start: [-0.0002, -0.0002]
stop: [+0.0002, +0.0002]
num: [17, 17]
include: [top, right]
coord: 0
- path: inputs.load_case.steps.0.target_def_grad_rate.1.1
values::from_rectangle:
start: [-0.0002, -0.0002]
stop: [+0.0002, +0.0002]
num: [17, 17]
include: [top, right]
coord: 1
- schema: simulate_VE_loading_damask
inputs:
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 107.3e+9
C_12: 60.9e+9
C_44: 28.3e+9
plastic:
type: phenopowerlaw
N_sl: [12]
a_sl: 1.499
atol_xi: 1
dot_gamma_0_sl: 0.001
h_0_sl-sl: 912.2e+6 # come from 60C results
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
xi_0_sl: [138.2e+6]
xi_inf_sl: [300.9e+6]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
- name: add_strain
args: {F: F_p, t: U, m: 1}
VE_response_data:
phase_data:
- field_name: sigma
phase_name: Al
out_name: vol_avg_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_U^1(F_p)
phase_name: Al
out_name: vol_avg_plastic_strain
transforms: [mean_along_axes: 1]
tension_DAMASK_Al#
A simple crystal plasticity simulation using DAMASK. A volume element generated from a random voronoi tessellation is loaded uniaxially, using aluminium (Al) material parameters.
tension_DAMASK_Al.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 4
phase_label: Al
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 100
num_increments: 200
direction: x
target_def_grad_rate: 1.0e-3
dump_frequency: 1
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 106750000000
C_12: 60410000000
C_44: 28340000000
plastic:
type: phenopowerlaw
N_sl: [12]
a_sl: 2.25
atol_xi: 1
dot_gamma_0_sl: 0.001
h_0_sl-sl: 75.0e+6
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
xi_0_sl: [31.0e+6]
xi_inf_sl: [63.0e+6]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Al
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Al
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Al
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 20
tension_DAMASK_Al_N_repeats#
A simple crystal plasticity simulation using DAMASK. A volume element generated from a random voronoi tessellation is loaded uniaxially, using aluminium (Al) material parameters. Multiple simulations can be generated by using the make/go command-line –var option like this (e.g. for 100 repeats): –var N 100.
tension_DAMASK_Al_N_repeats.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 4
phase_label: Al
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
- schema: simulate_VE_loading_damask
repeats: <<var:N[default=1]>>
inputs:
load_case::uniaxial:
total_time: 100
num_increments: 200
direction: x
target_def_grad_rate: 1.0e-3
dump_frequency: 1
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Al:
lattice: cF
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 106750000000
C_12: 60410000000
C_44: 28340000000
plastic:
type: phenopowerlaw
N_sl: [12]
a_sl: 2.25
atol_xi: 1
dot_gamma_0_sl: 0.001
h_0_sl-sl: 75.0e+6
h_sl-sl: [1, 1, 1.4, 1.4, 1.4, 1.4, 1.4]
n_sl: 20
output: [xi_sl]
xi_0_sl: [31.0e+6]
xi_inf_sl: [63.0e+6]
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Al
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Al
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Al
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 20
tension_DAMASK_Mg#
A simple crystal plasticity simulation using DAMASK. A volume element generated from a random voronoi tessellation is loaded uniaxially, using magnesium (Mg) material parameters.
tension_DAMASK_Mg.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 4
phase_label: Mg
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 100
num_increments: 1000
direction: x
target_def_grad_rate: 1.0e-3
dump_frequency: 5
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Mg:
lattice: hP
c/a: 1.62350 # from Tromans 2011, Elastic Anisotropy of HCP Metal Crystals and Polycrystals
rho: 1740.0
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 59.3e9
C_12: 25.7e9
C_13: 21.4e9
C_33: 61.5e9
C_44: 16.4e9
plastic:
type: phenopowerlaw
references:
- F. Wang et al., Acta Materialia 80:77-93, 2014, https://doi.org/10.1016/j.actamat.2014.07.048
output: [xi_sl, xi_tw]
N_sl: [3, 3, 6, 0, 6] # basal, prism, 1. pyr<a>, -, 2. pyr<c+a>
N_tw: [6, 0, 6] # tension, -, compression
xi_0_sl: [10.e+6, 55.e+6, 60.e+6, 0., 60.e+6]
xi_inf_sl: [40.e+6, 135.e+6, 150.e+6, 0., 150.e+6]
xi_0_tw: [40.e+6, 0., 60.e+6]
a_sl: 2.25
dot_gamma_0_sl: 0.001
dot_gamma_0_tw: 0.001
n_sl: 20
n_tw: 20
f_sat_sl-tw: 10.0
h_0_sl-sl: 500.0e+6
h_0_tw-tw: 50.0e+6
h_0_tw-sl: 150.0e+6
h_sl-sl: [+1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, +1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0,
1.0, +1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0,
-1.0, -1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # unused entries are indicated by -1.0
h_tw-tw: [+1.0, 1.0, -1.0, -1.0, -1.0, -1.0, 1.0, -1.0, 1.0, 1.0, -1.0,
1.0] # unused entries are indicated by -1.0
h_tw-sl: [1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, +1.0, -1.0, 1.0, -1.0] # unused entries are indicated by -1.0
h_sl-tw: [1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0, -1.0, 1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, +1.0, -1.0, 1.0] # unused entries are indicated by -1.0
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Mg
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Mg
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Mg
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 100
tension_DAMASK_Ti#
A simple crystal plasticity simulation using DAMASK. A volume element generated from a random voronoi tessellation is loaded uniaxially, using titanium (Ti) material parameters.
tension_DAMASK_Ti.yaml
tasks:
- schema: generate_microstructure_seeds_from_random
inputs:
VE_size: [1, 1, 1]
num_grains: 4
phase_label: Ti
- schema: generate_volume_element_from_voronoi
inputs:
homog_label: SX
VE_grid_size: [8, 8, 8]
- schema: simulate_VE_loading_damask
inputs:
load_case::uniaxial:
total_time: 100
num_increments: 1000
direction: x
target_def_grad_rate: 1.0e-3
dump_frequency: 5
homogenization:
SX:
mechanical: {type: pass}
N_constituents: 1
damask_phases:
Ti:
lattice: hP
c/a: 1.62350 # from Tromans 2011, Elastic Anisotropy of HCP Metal Crystals and Polycrystals
rho: 1740.0
mechanical:
output: [F, P, F_e, F_p, L_p, O]
elastic:
type: Hooke
C_11: 59.3e9
C_12: 25.7e9
C_13: 21.4e9
C_33: 61.5e9
C_44: 16.4e9
plastic:
type: phenopowerlaw
references:
- C. Zambaldi et al., Journal of Materials Research 27(1):356-367, 2021,
https://doi.org/10.1557/jmr.2011.334
- L. Wang et al., Acta Materialia 132:598-610, 2017, https://doi.org/10.1016/j.actamat.2017.05.015
output: [gamma_sl]
N_sl: [3, 3, 0, 12] # basal, prism, -, 1. pyr<c+a>
n_sl: 20
a_sl: 2.0
dot_gamma_0_sl: 0.001
h_0_sl-sl: 200.e+6
xi_0_sl: [349.e+6, 150.e+6, 0.0, 1107.e+6] # C. Zambaldi et al.
xi_inf_sl: [568.e+6, 150.e+7, 0.0, 3420.e+6] # C. Zambaldi et al.
# xi_0_sl: [127.e+6, 96.e+6, 0.0, 240.e+6] # L. Wang et al.
h_sl-sl: [+1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, -1.0, -1.0, -1.0, -1.0,
-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, 1.0, +1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, +1.0, 1.0, 1.0, 1.0, 1.0, 1.0] # unused entries are indicated by -1.0
damask_post_processing:
- name: add_stress_Cauchy
args: {P: P, F: F}
opts: {add_Mises: true}
- name: add_strain
args: {F: F, t: V, m: 0}
opts: {add_Mises: true}
- name: add_strain
args: {F: F_p, t: V, m: 0}
opts: {add_Mises: true}
- name: add_IPF_color
args: {l: [0, 0, 1]}
VE_response_data:
phase_data:
- field_name: sigma_vM
phase_name: Ti
out_name: vol_avg_equivalent_stress
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F)_vM
phase_name: Ti
out_name: vol_avg_equivalent_strain
transforms: [mean_along_axes: 1]
- field_name: epsilon_V^0(F_p)_vM
phase_name: Ti
out_name: vol_avg_equivalent_plastic_strain
transforms: [mean_along_axes: 1]
field_data:
- field_name: phase
- field_name: O
grain_data:
- field_name: O
increments: [values: [0, -1]]
damask_viz:
fields: [F, F_p, P, sigma_vM, epsilon_V^0(F_p)_vM, IPFcolor_(0 0 1), phase]
increments:
- step: 100