Experimental Study on the Influence of Bulbous Bow Form on the Velocity Field around the Bow of a Trimaran Using Towed Underwater 2D-3C SPIV

In this study, particle image velocimetry was applied to measure the flow field around the bow region of a trimaran with different appendages. The dimensionless axial velocity u/U in test planes 1 and 2 of the testing model was measured by using a towed underwater stereoscopic particle image velocimetry (SPIV) system. Based on the measured flow field data, the local sinkage values in test planes 1 and 2 of the testing model with different appendages at speeds of 1.766 and 2.943 m/s were presented. In addition, the effects of speed, bulbous bow type, T foils, and bow wave on the axial velocity u/U were studied in detail. The acquired experimental data help in understanding the distribution of the flow field around the ship bow, and the data can also act as a reference to verify computational fluid dynamics (CFD) results.

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Stereoscopic particle image velocimetry of laser energy deposition on a mach 3.4 flow field

Experiments in Fluids ◽

10.1007/s00348-021-03142-6 ◽

2021 ◽

Vol 62 (2) ◽

Author(s):

Arastou Pournadali Khamseh ◽

Ramez M. Kiriakos ◽

Edward P. DeMauro

Keyword(s):

Particle Image Velocimetry ◽

Flow Field ◽

Energy Deposition ◽

Particle Image ◽

Laser Energy ◽

Stereoscopic Particle Image Velocimetry ◽

Image Velocimetry

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Particle image velocimetry investigation on air distribution of surface-source buoyancy plume changing heating intensity and structure size in a thermostatic chamber

Indoor and Built Environment ◽

10.1177/1420326x20926245 ◽

2020 ◽

pp. 1420326X2092624

Author(s):

Xin Wang ◽

Yukun Xu ◽

Yinchen Yang ◽

Bingyan Song

Keyword(s):

Particle Image Velocimetry ◽

Flow Field ◽

Axial Velocity ◽

Particle Image ◽

Source Parameters ◽

Air Distribution ◽

Particle Image Velocimetry System ◽

Surface Source ◽

Large Space ◽

Image Velocimetry

For large space buildings like industrial plants with huge heat generation, the role that surface-source plumes play becomes more crucial. To study the air distribution and movement of plumes, the first step is to quantify how the airflow gets distributed in chambers. The experiment was carried out in a thermostatic chamber where there was no ventilation. Four hundred flow field snapshots (in each region) were measured by a two-dimensional particle image velocimetry system at a sampling frequency of 3 Hz, and the time-average flow field was processed by the adaptive correlation algorithm to quantify the air distribution of the plume. According to the measured data, the variation law of the axial velocity of the surface-source plume under different heat source parameters was analysed. The formula coefficients of the axial velocity, the extended radius and the mass flow of the plume were discussed, and the coefficients from current two mainstream methods and those obtained in this paper were compared. The results of this study will be useful to predict motion of surface-plumes and optimize airflow patterns in large spaces.

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Stereoscopic particle image velocimetry of the flow field in the rotor exit region of a forward-blade centrifugal turbomachine

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy ◽

10.1177/0957650911430285 ◽

2011 ◽

Vol 226 (2) ◽

pp. 163-181 ◽

Cited By ~ 10

Author(s):

G Akbari ◽

N Montazerin ◽

M Akbarizadeh

Keyword(s):

Particle Image Velocimetry ◽

Flow Field ◽

Particle Image ◽

Stereoscopic Particle Image Velocimetry ◽

Exit Region ◽

Image Velocimetry

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Convergence of PIV Measurements at the Inlet of a Turbocharger Compressor

Volume 7: Fluids Engineering ◽

10.1115/imece2019-10461 ◽

2019 ◽

Author(s):

Deb Banerjee ◽

Ahmet Selamet ◽

Rick Dehner ◽

Keith Miazgowicz

Keyword(s):

Particle Image Velocimetry ◽

Flow Field ◽

Turbulent Flow ◽

Coefficient Of Variation ◽

Particle Image ◽

Flow Fields ◽

Statistical Moment ◽

Stereoscopic Particle Image Velocimetry ◽

Image Velocimetry ◽

The Mean

Abstract Particle Image Velocimetry has become a desirable tool to investigate turbulent flow fields in different engineering applications, including flames, combustion engines, and turbomachinery. The convergence characteristics of turbulent statistics of these flow fields are of prime importance since they help with the number of images (temporally uncorrelated) to be captured in order for the results to converge to a certain tolerance or with the assessment of the uncertainty of the measurements for a given number of images. The present work employs Stereoscopic Particle Image Velocimetry to examine the turbulent flow field at the inlet of an automotive turbocharger compressor without any recirculating channel. Optical measurements were conducted at five different mass flow rates spanning from choke to surge at a corrected rotational speed of 80 krpm. The velocity fields thus obtained were used to analyze the convergence of the mean (first statistical moment) and variance (second statistical moment) at different operating conditions. The convergence of the mean at a particular location in the flow field depends on the local coefficient of variation (COV). The number of required images for the mean to converge to a particular tolerance was also found to follow roughly a linear trend with respect to COV. While the convergence of the variance, on the other hand, did not appear to show any direct dependence on the coefficient of variation, it takes significantly more images than the mean to converge to the same level of tolerance.

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Stereoscopic Particle Shadow Velocimetry

Volume 7: Fluids Engineering ◽

10.1115/imece2018-88013 ◽

2018 ◽

Author(s):

Jeff R. Harris ◽

Michael McPhail ◽

Christine Truong ◽

Arnold Fontaine

Keyword(s):

Particle Image Velocimetry ◽

Flow Field ◽

Particle Image ◽

Scattered Light ◽

Stereoscopic Particle Image Velocimetry ◽

Two Dimensional ◽

Tracer Particles ◽

Image Velocimetry ◽

Out Of Plane ◽

Led Backlight

Stereoscopic particle image velocimetry (SPIV) is a variant of particle image velocimetry (PIV) that allows for the measurement of three components of velocity along a plane in a flow field. In PIV, particles in the flow field are tracked by reflecting laser light from tracer particles into two angled cameras, allowing for the velocity field to be determined. Particle shadow velocimetry (PSV) is an inherently less expensive velocity measurement method since the method images shadows cast by particles from an LED backlight instead of scattered light from a laser. Previous studies have shown that PSV is an adequate substitute for PIV for many two-dimensional, two-component velocimetry measurements. In this work, the viability of the two-dimensional, three-component stereoscopic particle shadow velocimetry (SPSV) is demonstrated by using SPSV to examine a simple jet flow. Results obtained using SPIV are also used to provide benchmark comparison for SPSV measurements. Results show that in-plane and out-of-plane velocities measured using SPSV are comparable to those measured using SPIV.

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