"Reproducible Research Data Pipelines – Case Study of Bubble Collapse i" by Blake Naccarato

Award Date

12-1-2024

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Mechanical Engineering

First Committee Member

Kwang Kim

Second Committee Member

Woosoon Yim

Third Committee Member

Jeremy Cho

Fourth Committee Member

Hui Zhao

Fifth Committee Member

Jacimaria Batista

Number of Pages

133

Abstract

Vapor bubble collapse is relevant to the study of subcooled nucleate boiling, as can occur in power plants and missile systems, in studies of wear due to cavitation, and even in the study of hydrothermal vents in the Earth sciences. Empirical correlations relate the rate of bubble collapse to thermal conditions of the subcooled fluid, and one may choose to produce a purpose built correlation for any process. However, they are time and resource intensive due to the data and process requirements for automated bubble tracking. A reproducible research data pipeline has been developed to discriminate between existing correlations for a given experimental condition.

The research data pipelines and associated tooling developed throughout the course of this study are open sourced, and the data also published openly. The following codes have been published: BoilerCV, a bubble detection and boiling correlation development pipeline; Boilerdata, a pipeline for producing boiling curves; BoilerDAQ, a library for data acquisition and control of a nucleate pool boiling apparatus; Boilercore, common pipeline utilities; Context Models, a package enabling development of interoperable and reusable data models; and Copier Pipeline, a general project template for research data pipeline development.

The correlation investigation pipeline is promising for correlation selection for a given experimental condition considering the spread in the present correlations, and useful as a general tool for further correlation development and nucleate pool boiling bubble analysis.

Controlled Subject

Boiling, Nucleate; Natural gas pipelines; Earth sciences

Disciplines

Mechanical Engineering

File Format

PDF

File Size

3500 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/


Share

COinS