NiceProp: An interactive Python-based educational tool for non-ideal compressible fluid dynamics

Andrea Giuffre’, Matteo Pini*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Non-ideal compressible flows exhibit physical behaviors that are quantitatively and qualitatively different than those of a perfect or ideal gas. As such, the classical gas dynamic relationships that can be found on fluid-mechanics textbooks cannot be directly applied to characterize this type of flows. NiceProp is a tool for interactively learning the fundamentals of non-ideal compressible fluid dynamics and the design implications for fluid machinery components. The software is written in Python and features a highly modular structure to ease code readability and to facilitate its further development. The target audience of the software is represented by students, researchers and industry professionals interested to get started or deepen the comprehension of non-ideal compressible flow phenomena.

Original languageEnglish
Article number100897
Number of pages9
JournalSoftwareX
Volume17
DOIs
Publication statusPublished - 2022

Keywords

  • Fluids
  • Learning
  • Non-ideal flows

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