InterpCore

A Python library for interpolating physical field data (electromagnetic forces, heat flux, heat generation, convection boundary conditions) between different mesh representations and exporting the result to ANSYS APDL format.

Full documentation: https://fusion4energy.github.io/InterpCore/

Features

• Multiple interpolation kernels: distance-weighted, FEM-based, average, weighted average, closest point
• K-nearest or radius-based neighbour search (KDTree)
• EM forces, heat flux, heat generation and HTC + bulk temperature
• Force/moment resultants and scalar integrals to validate the interpolation
• Direct export to ANSYS APDL and VTK output for ParaView/PyVista

Installation

pip install interpcore

Requires Python ≥ 3.11.

Quick Start

from interpcore.interpolator import Interpolator
from interpcore.config import (
    InterpolationConfig,
    ColumnsConfig,
    QUERY_TYPE,
    INTERPOLATED_LOAD_TYPE,
    INTERPOLATION_KERNEL,
)

config = InterpolationConfig(
    method=QUERY_TYPE.K,
    param=5,
    max_distance=2.0,
    coincidence_tolerance=0.01,
    kernel=INTERPOLATION_KERNEL.DISTANCE_WEIGHTED,
    multithread=False,
    interpolated_load=INTERPOLATED_LOAD_TYPE.EM_FORCE,
)
columns = ColumnsConfig(id=0, dest_xyz=1, source_xyz=1, value=4)

interpolator = Interpolator(
    path_to_src_folder="source_data",
    path_to_dest_mesh="destination_mesh.txt",
    config=config,
    columns=columns,
)
interpolator.interpolate_all()
interpolator.export_to_ansys("output_directory")

See the documentation for the configuration options, the kernels and load types, and the examples for complete Jupyter notebook workflows.

License

Licensed under the European Union Public Licence (EUPL) 1.2

Authors

Developed by the F4E mechanical team