Document Type

Thesis - Open Access

Award Date

2019

Degree Name

Master of Science (MS)

Department

Mechanical Engineering

First Advisor

Stephen Gent

Keywords

Computational Fluid Dynamics, Cryogenics, Natural Convection, Ullage

Abstract

The goal of this research is to provide scientifically-valid computationally generated data of the flow, thermal, and impurity data of the ProtoDUNE single phase detector. Results are compared and validated against an actual detector that is currently being utilized to collect temperature and impurity data. This research will investigate the flows inside these detection chambers using computational fluid dynamics to find approximate solutions to the governing equations of fluid mechanics. Impurity and flow data will allow researchers to determine if results collected are being obstructed by high levels of impurity. Novel approaches have been developed to strike a balance between accuracy and resource management as computation fluid dynamics software calculates information about the gaseous portion of the cryostat, which has limited amounts of data collection hardware. The Deep Underground Neutrino Experiment is a research collaborative attempting to investigate neutrinos. The ProtoDUNE single-phase detector is the second detector to be constructed by CERN for the DUNE project. The ProtoDUNE detector is being used to gather data and inform design decisions about the upcoming Far Detector, which is scheduled for completion in 2026.

Library of Congress Subject Headings

Neutrinos.
Neutrino interactions.
Detectors.
Computational fluid dynamics.

Publisher

South Dakota State University

Rights

In Copyright - Non-Commercial Use Permitted
http://rightsstatements.org/vocab/InC-NC/1.0/

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