Pyrit: A finite element based field simulation software written in Python

Abstract

Purpose The purpose of this paper is to present the freely available finite element simulation software Pyrit. Design/methodology/approach In a first step, the design principles and the objective of the software project are defined. Then, the software’s structure is established: The software is organized in packages for which an overview is given. The structure is based on the typical steps of a simulation workflow, i.e., problem definition, problem-solving and post-processing. State-of-the-art software engineering principles are applied to ensure a high code quality at all times. Finally, the modeling and simulation workflow of Pyrit is demonstrated by three examples. Findings Pyrit is a field simulation software based on the finite element method written in Python to solve coupled systems of partial differential equations. It is designed as a modular software that is easily modifiable and extendable. The framework can, therefore, be adapted to various activities, i.e., research, education and industry collaboration. Research limitations/implications The focus of Pyrit are static and quasistatic electromagnetic problems as well as (coupled) heat conduction problems. It allows for both time domain and frequency domain simulations. Originality/value In research, problem-specific modifications and direct access to the source code of simulation tools are essential. With Pyrit, the authors present a computationally efficient and platform-independent simulation software for various electromagnetic and thermal field problems.

Homogenization of foil windings with globally supported polynomial shape functions

“…Both examples are chosen such that an analytical solution can be computed [11]. The homogenization ansatz is implemented in the Python-based FE simulation framework Pyrit [12].…”