scholarly journals Design and Implementation of a Low-cost Particle Image Velocimetry System for Undergraduate Research and Education

2020 ◽  
Author(s):  
Brock Ring ◽  
Evan Lemley
Author(s):  
Brock P. Ring ◽  
Daniel K. Atkinson ◽  
Andrew W. Henderson ◽  
Evan C. Lemley

Particle image velocimetry (PIV) has transformed fluid mechanics research in recent years. PIV also holds the possibility to transform fluids engineering undergraduate education with the ability of students to get hands-on experience in visualization of real flow fields. One barrier to use of PIV is the cost of a system. Research grade systems are often over $100,000 and inaccessible to many undergraduate students. Recent availability of low-cost high-frame-rate digital cameras, lasers, and public domain software offer potential accessibility for PIV for many labs at academic institutions. In this paper we describe the development of a PIV system for under $1000 including specific components and their costs. In our lab this system is currently being used for several liquid flow experiments including obtaining the flow field in and near small bifurcations. Although we are using the system for liquid flows, it may be used for gas flows as well. One issue that is addressed is the cost of flow seeding — this has been solved by using pulverized green algae as seed particles with a strong reflection by a 532 nm green laser. The system is small and portable and is useful for observing flow in locations that are not of direct interest for experiments, but may have a bearing on flow conditions in experimental measurements; such as upstream of test sections. We describe some examples of how we have used the lost-cost PIV system in our lab and how it can be used for fluids engineering education and research. The current research application of this system is performing loss coefficient calculations in a test section using the energy dissipation.


Author(s):  
Christopher Pagano ◽  
Flavia Tauro ◽  
Salvatore Grimaldi ◽  
Maurizio Porfiri

Large scale particle image velocimetry (LSPIV) is a nonintrusive environmental monitoring methodology that allows for continuous characterization of surface flows in natural catchments. Despite its promise, the implementation of LSPIV in natural environments is limited to areas accessible to human operators. In this work, we propose a novel experimental configuration that allows for unsupervised LSPIV over large water bodies. Specifically, we design, develop, and characterize a lightweight, low cost, and stable quadricopter hosting a digital acquisition system. An active gimbal maintains the camera lens orthogonal to the water surface, thus preventing severe image distortions. Field experiments are performed to characterize the vehicle and assess the feasibility of the approach. We demonstrate that the quadricopter can hover above an area of 1×1m2 for 4–5 minutes with a payload of 500g. Further, LSPIV measurements on a natural stream confirm that the methodology can be reliably used for surface flow studies.


2013 ◽  
Vol 50 (5-6) ◽  
pp. 311-326 ◽  
Author(s):  
Carmine Senatore ◽  
Markus Wulfmeier ◽  
Ivan Vlahinić ◽  
Jose Andrade ◽  
Karl Iagnemma

2006 ◽  
Author(s):  
Lichuan Gui ◽  
Bernard J. Jansen ◽  
John M. Seiner

A new particle image velocimetry system is applied to measure turbulent air jet flows from a micro-scale nozzle. The applied MPIV system includes a long-distance microscope that enables not only a long working distance, but also a forward-scattering optical setup. By using a high repeating rate Nd:YAG laser and an advanced digital camera, particle image recordings can be captured at 60 fps, i.e. 30 PIV recording pairs per second, with an interframing time of 180 ns, so that a high-speed flow measurement is enabled in micro scale. Measurements were conducted in the central plane of an air jet from a nozzle of 500 μm in diameter at flow velocity up to 110 m/s. Mean velocity and Reynolds stress distributions were determined with statistical analyses of thousands of instantaneous velocity maps.


2020 ◽  
pp. 1420326X2092624
Author(s):  
Xin Wang ◽  
Yukun Xu ◽  
Yinchen Yang ◽  
Bingyan Song

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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