Date of Award

2019

Document Type

Thesis

Degree Name

Master of Science in Engineering (MSE)

Department

Mechanical and Aerospace Engineering

Committee Chair

Robert A. Frederick Jr.

Committee Member

David Lineberry

Committee Member

Judith A. Schneider

Subject(s)

Cavitation, Manufacturing processes, Fluid mechanics

Abstract

Additive manufacturing is becoming prevalent in the field of fluids and flow control with the advent of Selective Laser Sintering (SLS) and Selective Laser Melting (SLM). Due to the roughness of additively manufactured components, parts routinely need post-machining to reduce surface roughness and match the characteristics of subtractively manufactured components. This research aims to quantify the effects of layer-induced surface roughness on effective cross-sectional area reduction and cavitation onset conditions. Tests were performed on a 3/16” diameter, long length-to-diameter ratio (L/D = 20), sharp edged inlet orifice geometry using water at ambient temperature conditions. Tests were performed over a range of Cavitation Numbers, K, from K=1.6 to K=1.0. This was achieved by measuring pressure upstream of the venturi and controlling the backpressure applied. Upstream pressure was 500 psig with a programmable backpressure globe valve set to follow a setpoint schedule of Cavitation Numbers. This was to determine the effective area (Cc*A) as used in the Nurick model and the cavitation onset cavitation number (Kcrit) which will be compared between venturis with different manufacturing methods and therefore roughness. Arithmetic mean roughnesses ranging from 0.26 μm to 26.85 μm were tested using subtractive manufacturing techniques, Fused Deposition Modeling, and Selective Laser Melting. Results found shown an appreciable reduction in effective flow area with increasing roughness. Decreases in Cc of 12.3% from a smooth bore orifice to that of the roughest configuration tested were found. Additionally, delays in cavitation offset were observed with cavitation onset occurring at K=1.08 rather than the predicted K=1.45 for the roughest configuration tested.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.