Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine learning techniques. Traditional approaches, such as Computational Fluid Dynamics (CFD) and Direct Numerical Simulati...

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Bibliographic Details
Main Authors: Manimaran Renganathan, Palani Thanaraj Krishnan, C. Christopher Columbus, T. Sunil Kumar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Image processing
flow classification
computational fluid dynamics
low and high-speed flow
local binary pattern
Online Access:https://ieeexplore.ieee.org/document/11106484/
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