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InterpCore

InterpCore is a Python library for interpolating physical field data (electromagnetic forces, heat flux, heat generation, convection boundary conditions) from a source point cloud onto a destination mechanical mesh, and for exporting the result directly as ANSYS APDL load commands.

flowchart LR
    S[("Source data<br/>(x, y, z, value)")] --> P[Parsers]
    D[("Destination mesh<br/>(id, x, y, z, [vol/area])")] --> P
    P --> T["KDTree<br/>neighbour query<br/>(K or radius)"]
    T --> K["Interpolation kernel"]
    K --> A["APDL export<br/>F / SFE / BFE"]
    K --> V["VTK / PyVista<br/>visualisation"]
    K --> C["Checks<br/>integrals, resultants"]

  • Getting started

    Install the package and run your first interpolation in a few lines.

    Quick start

  • Interpolation kernels

    Source-to-target and target-to-source kernels, with the maths behind them.

    Kernels

  • Load types

    EM forces, heat flux, heat generation and HTC with their APDL output format.

    Load types

  • Examples

    Complete Jupyter notebook workflows with sample data and PyVista plots.

    Examples

Features

  • Multiple interpolation kernels: distance-weighted, FEM-based, average, weighted average, closest point.
  • Flexible neighbour search: K-nearest neighbours or radius-based, with a hard max_distance cut-off and coincident-node detection.
  • Multiple load types: EM forces (3-component vectors), heat flux, heat generation and Heat Transfer Coefficient + bulk temperature.
  • Analysis tools: scalar field integration and EM force/moment resultants to validate conservation.
  • Export to ANSYS APDL: one ready-to-read command file per source file.
  • Visualisation: VTK output for ParaView or PyVista.
  • Efficient: KDTree-based spatial queries and optional multithreading.

License

Licensed under the European Union Public Licence (EUPL) 1.2. Developed by the F4E mechanical team.