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Computational Fluid Dynamics Benchmark Validation Experiment Of Plenum-To-Plenum Flow Through Vertical Heated Parallel Channels, Austin W. Parker

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The next generation of nuclear power plants will have higher efficiency and improved safety, among other benefits; one attractive option is the high temperature gas reactor. An ability to predict the physics that occur within the reactor under normal conditions and accident scenarios is necessary before it receives regulatory licensing for use. The flow through a high temperature gas reactor involves complex interactions of heat transfer, fluids, and solids.

One method for simulating complex fluid dynamics is called Computational Fluid Dynamics. These simulations have already been used to predict the complex fluid flows found in high temperature gas reactors. Predicting …

Benchmarking Of A Mobile Phone Particle Image Velocimetry System, David Armijo

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

One of the most important tools in a fluid dynamics laboratory is a particle image velocimetry (PIV) system. This system can measure the speed of a fluid flow simply by taking high-speed images of the motion of the fluid, then applying PIV cross-correlation software to calculate speed from the resulting images. The mI-PIV project is in the process of designing a new method of performing PIV by putting the cross-correlation software on a mobile phone application, called mobile Instructional PIV (mI-PIV). This system is an innovative stepping stone in making PIV systems more widely available. It is designed to be …

Automatic Particle Image Velocimetry Uncertainty Quantification, Benjamin H. Timmins

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The uncertainty of any measurement is the interval in which one believes the actual error lies. Particle Image Velocimetry (PIV) measurement error depends on the PIV algorithm used, a wide range of user inputs, flow characteristics, and the experimental setup. Since these factors vary in time and space, they lead to nonuniform error throughout the flow field. As such, a universal PIV uncertainty estimate is not adequate and can be misleading. This is of particular interest when PIV data are used for comparison with computational or experimental data.

A method to estimate the uncertainty due to the PIV calculation of …