pypeec 4.0.0

PyPEEC - 3D PEEC Solver

PyPEEC - 3D PEEC Solver

Summary

PyPEEC is a 3D quasi-magnetostatic field solver with the following characteristics:

• PEEC method with FFT acceleration
• Representation of the geometry with 3D voxels
• Multithreading and GPU acceleration are available
• Fast with moderate memory requirements
• Import the geometry from STL, PNG, and GERBER files
• Draw the geometry with stacked 2D vector shapes or voxel indices
• Pure Python implementation
• Can be used from the command line
• Can be used with Jupyter notebooks
• Advanced plotting capabilities

PyPEEC solves the following 3D quasi-magnetostatic problems:

• Frequency domain solution (DC and AC)
• Conductive and magnetic domains (ideal or lossy)
• Connection of current and voltage sources
• Extraction of the loss and energy densities
• Extraction of the current density, flux density, and potential
• Extraction of the terminal voltage, current, and power
• Computation of the free-space magnetic field

PyPEEC has the following limitations:

• No capacitive effects
• No dielectric domains
• No advanced boundaries conditions
• No model order reduction techniques
• Limited to voxel geometries

The PyPEEC package contains the following tools:

• mesher: create a 3D voxel structure from STL or PNG files
• viewer: visualization of the 3D voxel structure
• solver: solver for the magnetic field problem
• plotter: visualization of the problem solution

Documentation

• Gallery - Gallery of screenshots
• Getting Started - Explanation of the workflow of PyPEEC
• Included Examples - List of the included example problems
• Technical Details - Technical explanations about PyPEEC
• File Formats - Definition of the different file formats

Screenshot

Credits

The FFT-accelerated PEEC method with voxels has been first described and implemented in:

• R. Torchio, IEEE TPEL, 10.1109/TPEL.2021.3092431, 2022
• R. Torchio, https://github.com/UniPD-DII-ETCOMP/FFT-PEEC

Other interesting papers and codes about similar methods:

• A. Yucel, IEEE TMTT, 10.1109/TMTT.2017.2785842, 2018
• P. Bettini, IOP, 10.1088/1361-6587/abce8f, 2020
• N. Marconato, ICECCME, 10.1109/ICECCME52200.2021.9590864, 2021
• A. Yucel, https://github.com/acyucel/VoxHenry

Project Links

• Repository
• Releases
• Tags
• Issues

Author

• Thomas Guillod, Dartmouth College, NH, USA
• Email: [e-mail]
• Personal website: https://otvam.ch
• Lab website: https://pmic.engineering.dartmouth.edu

Copyright

(c) 2023 - Thomas Guillod - Dartmouth College

This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.