English

pyCFS-data: Data Processing Framework in Python for openCFS

Computational Engineering, Finance, and Science 2026-01-12 v3 Numerical Analysis Numerical Analysis

Abstract

Many numerical simulation tools have been developed and are on the market, but there is still a strong need for appropriate tools capable of simulating multi-field problems, especially in aeroacoustics. Therefore, openCFS provides an open-source framework for implementing partial differential equations using the finite element method. Since 2000, the software has been developed continuously. The result is openCFS (before 2020, known as CFS++ Coupled Field Simulations written in C++). In this paper, we present pyCFS-data, a data processing framework written in Python to provide a flexible and easy-to-use toolbox to access and manipulate, pre- and postprocess data generated by or for usage with openCFS.

Keywords

Cite

@article{arxiv.2405.03437,
  title  = {pyCFS-data: Data Processing Framework in Python for openCFS},
  author = {Andreas Wurzinger and Patrick Heidegger and Stefan Schoder},
  journal= {arXiv preprint arXiv:2405.03437},
  year   = {2026}
}