This is a minimal Python package that provides a Python API interfaces for converting mesh vertices into a DAGMC h5m file ready for use in simulation.

Convert a set of vertices with their connectivity in to a DAGMC h5m file complete with material tags and ready for use neutronics simulations.

warning this approach does not imprint and merge the geometry and therefore requires that the mesh is well formed and does not overlap. Overlaps could lead to particles being lost during transport. If imprinting and merging is required consider using Paramak export_dagmc_h5m() method or cad-to-h5m to make the DAGMC geometry.

It is strongly advised to used the DAGMC overlap checker to check the resulting h5m file (see checking for overlaps section below).

Installation - Conda

This single line command should install the package and dependencies (including moab).

conda install -c fusion-energy -c conda-forge vertices_to_h5m

Installation - Pip + Conda

These two commands should install the package and dependencies. Moab requires a separate install as it is not available on pip

conda install -c conda-forge moab
pip install vertices_to_h5m

Examples

These examples with volumes made from just four triangles to keep the examples minimal. The package can also convert larger meshes as shown in the picture below.

Usage - single volume

To convert a single volume mesh into a h5m file. This also tags the volume with the material tag mat1.

from vertices_to_h5m import vertices_to_h5m
import numpy as np

# these are the x,y,z coordinates of each vertex. Entries should be floats 
vertices = np.array(
    [
        [0.0, 0.0, 0.0],
        [1.0, 0.0, 0.0],
        [0.0, 1.0, 0.0],
        [0.0, 0.0, 1.0],
    ]
)

# These are the triangle that connect individual vertices together to form a continious surface and also a closed volume. Entries should be ints
triangles = [
    np.array([[0, 1, 2], [3, 1, 2], [0, 2, 3], [0, 1, 3]]),
]

# This will produce a h5m file called one_volume.h5m ready for use with DAGMC enabled codes.
vertices_to_h5m(
    vertices=vertices,
    triangles=triangles,
    material_tags=["mat1"],
    h5m_filename="one_volume.h5m",
)

single_volume

Usage - multiple volumes

To convert multiple mesh volumes files into a h5m file. This also tags the relevant volumes with material tags called mat1 and mat2. This example also uses numpy arrays instead of lists, both are acceptable.

from vertices_to_h5m import vertices_to_h5m
import numpy as np

# These are the x,y,z coordinates of each vertex. Numpy array is set to type float to enforce floats
vertices = np.array(
    [[0, 0, 0], [1, 0, 0], [0, 1, 0], [0, 0, 1], [1, 1, 1], [1, 1, 0]], dtype="float64"
)

# These are the two sets triangle that connect individual vertices together to form a continious surfaces and also two closed volume.
triangles = [
    np.array([[0, 1, 2], [3, 1, 2], [0, 2, 3], [0, 1, 3]]),
    np.array([[4, 5, 1], [4, 5, 2], [4, 1, 2], [5, 1, 2]]),
]

# This will produce a h5m file called two_volume_touching_edge.h5m ready for use with DAGMC enabled codes
vertices_to_h5m(
    vertices=vertices,
    triangles=triangles,
    material_tags=["mat1", "mat2"],
    h5m_filename="two_volume_touching_edge.h5m",
)

two_volumes

Checking for overlaps

To check for overlaps in the resulting h5m file one can use the DAGMC overlap checker. -p is the number of points to check on each line

conda install -c conda-forge
overlap_check dagmc.h5m -p 1000

fusion-energy / vertices_to_h5m

readme