.png){kind=icon}
.png){kind=icon}
Return
Version 2.0-VortexFitting: A post-processing fluid mechanics tool for vortex identification
.png){kind=icon}
PRE
AI
DOI：10.1016/j.softx.2026.102674.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
VortexFitting is a post-processing tool for identifying and characterizing vortices in fluid dynamics datasets. Version 2.0 introduces significant enhancements including a wxPython-based graphical user interface for improved usability, parallelization capabilities achieving up to an 83% reduction in computation time, and expanded theoretical models (Rankine and Batchelor vortex models). High-order numerical schemes implemented via scipy improve accuracy and extensibility. The software has been validated on large-scale datasets from publicly available turbulence databases. These improvements make VortexFitting more accessible and efficient for analyzing complex flow structures in both experimental and computational fluid dynamics.
Keywords:
Vortex fitting
Graphical user interface
Parallel processing
Vortex model
Journal
IF:
2.4
Papers:
325
Citations:
7.3K