Theses and Dissertations

Date of Award

12-2015

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical Engineering

First Advisor

Dr. Isaac Choutapalli

Second Advisor

Dr. Constantine Tarawneh

Third Advisor

Dr. Robert Freeman

Abstract

In recent years, scientist and engineers have shown the advantages created by using the Particle Image Velocimetry (PIV) method as flow diagnostic tool to characterize instantaneous velocity fields. One of the important benefits is found on its non-intrusive nature, this leads to accurate velocity fields. From the velocity field obtained by PIV important quantities can be derived, such as pressure and vorticity. The present study, uses PIV data of an incompressible turbulent pulsed jet to determine the pressure field associated with the flow field. The pressure is calculated by using the averaged velocity field along with three different fundamental equation: the Navier-Stokes equation, Pressure Poisson Equation (PPE), and Reynolds-Averaged Navier Stokes. To solve for the pressure a MATLAB algorithm was created and different methods were used to solve the three equations numerically. This allows for the characterization of the pressure field, when the velocity field is available. Understanding the pressure is crucial for many applications, e.g. engineers designing aircrafts or automobiles, or doctors trying to optimize medicine administration.

Comments

Copyright 2015 Jean O. Calzada. All Rights Reserved.

https://www.proquest.com/dissertations-theses/pressure-field-estimation-using-particle-image/docview/1771508805/se-2?accountid=7119

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