Work

A constrained particle image velocimetry algorithm for flow measurement using Euler and Lagrange approaches

Year: 2026

Type: article

Abstract: The measurement of the momentum of a liquid fluid such as water in a river remains a key issue in the prediction of natural disasters caused by the variation of water velocity in a flow. The article presents a more robust image processing kinematics based on Particle Image Velocimetry by analogy of two approaches (Lagrangian and Eulerian) for better monitoring of the behaviour of flowing fluid in a river. This approach led to the creation of a virtual observer that replicates the Lagrangian and Eulerian approaches. The obtained results demonstrate the limitations of the Lagrangian approach in comparison with the Eulerian one, which offers more detailed information on the behaviour of certain fluid particles in flow.

Source: Flow Measurement and Instrumentation

DOI: 10.1016/j.flowmeasinst.2026.103241

Authors: P. Kyomba Mulenda, A. Lay-Ekuakille, L. Blois, M. Palmisano

Institutions: Institut Supérieur de Techniques Appliquées, University of Salento, Marconi University, National Research Council

Language: English

Topic: Fluid Dynamics and Turbulent Flows

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,080

OpenAlex ID: W7127053599

FWCI:

Cites: 4

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