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Article


Title

AI-based Method of Vortex Core Tracking as an Alternative for Lambda2

Authors

[ 1 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.8] Mechanical engineering

Year of publication

2020

Published in

Vibrations in Physical Systems

Journal year: 2020 | Journal volume: vol. 31 | Journal number: no. 3

Article type

scientific article

Publication language

english

Keywords
EN
  • vortex core tracking
  • Lambda 2
  • AI
  • Neural Network
Abstract

EN The paper presents a new method of vortex core detection developed for use in CFD simulation result analysis. Apart from the conventional approach involving vector algebra, mainly the Lambda2 method, it focuses on the identification of certain features in a graphic representation of the velocity field. It is done by generating a series of slices of the said field in the postprocessing software and training a Convolutional Neural Network (AI) to recognize vortex cores. The neural network can be integrated into a simple python program and used to quickly identify vortex cores on a large number of images and translate their locations to coordinates of a CFD model for visualisation.

Pages (from - to)

2020319-1 - 2020319-10

DOI

10.21008/j.0860-6897.2020.3.19

URL

https://vibsys.put.poznan.pl/_journal/2020-31-3/articles/vibsys_2020319.pdf

Comments

Article Number: 2020319

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Points of MNiSW / journal

40.0

Points of MNiSW / journal in years 2017-2021

70.0

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