Development and assessment of a particle tracking velocimetry (PTV) measurement technique for the experimental investigation of oil drops behaviour in dispersed oil-water two-phase flow within a centrifugal pump impeller

Author(s)

Cerqueira, Rafael F. L. ; Perissinotto, Rodolfo Marcilli ; Verde, William Monte ; Biazussi, Jorge Luiz ; Castro, Marcelo Souza ; Bannwart, Antonio Carlos

• Document type: Journal article
• Source: INTERNATIONAL JOURNAL OF MULTIPHASE FLOW; v. 159, p. 26-pg., 2023-02-01.

Abstract

The objective of the current work is to present the development of a Particle Tracking Velocimetry (PTV) algorithm for the analysis of oil drops behaviour in two-phase oil-water dispersions within a centrifugal pump impeller. The drop tracking was realized through high-speed camera images in a transparent pump prototype, which enabled the visualization of oil drops dispersed in water in all the impeller channels. The PTV algorithm is based on deep-learning techniques for image processing. The drops are detected by a combined U-Net and Convolutional Neural Network (CNN) method, with the former generating a binary image and the latter detecting valid oil drop contours. After detection, the Labelled Object Velocimetry (LOV) is adopted to calculate the instantaneous oil drop velocity. A synthetic image generator based on a Generative Adversarial Network (GAN) is then developed to assess the results from the U-Net, CNN, and LOV models. Additional validation studies are performed using the results from Perissinotto et al. (2019a). The results reveal that the presented deep-learning PTV algorithm is robust and provides consistent and reliable data for the dispersed oil phase in two-phase oil-water flows. (AU)

• FAPESP's process: 17/15736-3 - Engineering Research Centre in Reservoir and Production Management
• Grantee: Denis José Schiozer
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• FAPESP's process: 20/15140-6 - TURBULENCE IN TWO-PHASE SWIRLING FLOWS: EXPERIMENTS USING PIV AND PTV
• Grantee: Rafael Franklin Lazaro de Cerqueira
• Support Opportunities: Scholarships in Brazil - Post-Doctoral