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<p>This study evaluates the effectiveness of particle image velocimetry (PIV) in validating computational fluid dynamics (CFD) simulations of multiphase flow in an atomizing nozzle used for fogging applications. High-resolution velocity fields of the turbulent jet emerging from a conical pressure-swirl nozzle were acquired using PIV. The measurements revealed peak velocities approaching 80&#xa0;m/s, along with pronounced turbulence intensity and well-defined vortex structures. Parallel CFD simulations were performed using ANSYS Fluent, employing a multiphase Volume of Fluid (VOF) model and the k–ω SST turbulence model. A precise geometric reconstruction of the nozzle was achieved through 3D scanning and microscopy, enabling accurate representation of complex internal features in the simulations. Comparative analysis showed strong agreement between the experimentally measured and numerically predicted velocity fields, especially in identifying the location and magnitude of peak jet velocities. Some discrepancies in velocity decay profiles were noted, attributed to modelling assumptions and experimental limitations. Overall, the findings confirm that PIV provides reliable data for validating CFD models of multiphase nozzle flows, establishing a robust methodology applicable to similar fluid systems where turbulent and multiphase interactions are significant.</p>

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Application of the PIV technique for the validation of a numerical model of multiphase flow in an atomizing nozzle

  • 期刊论文

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  • 发表日期：

    2025年7月1日

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  • Marcin Paturalski,
  • Michał Tomaszewski

摘要

This study evaluates the effectiveness of particle image velocimetry (PIV) in validating computational fluid dynamics (CFD) simulations of multiphase flow in an atomizing nozzle used for fogging applications. High-resolution velocity fields of the turbulent jet emerging from a conical pressure-swirl nozzle were acquired using PIV. The measurements revealed peak velocities approaching 80 m/s, along with pronounced turbulence intensity and well-defined vortex structures. Parallel CFD simulations were performed using ANSYS Fluent, employing a multiphase Volume of Fluid (VOF) model and the k–ω SST turbulence model. A precise geometric reconstruction of the nozzle was achieved through 3D scanning and microscopy, enabling accurate representation of complex internal features in the simulations. Comparative analysis showed strong agreement between the experimentally measured and numerically predicted velocity fields, especially in identifying the location and magnitude of peak jet velocities. Some discrepancies in velocity decay profiles were noted, attributed to modelling assumptions and experimental limitations. Overall, the findings confirm that PIV provides reliable data for validating CFD models of multiphase nozzle flows, establishing a robust methodology applicable to similar fluid systems where turbulent and multiphase interactions are significant.