Date of Award

Fall 12-2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mechanical & Aerospace Engineering

Program/Concentration

Mechanical and Aerospace Engineering

Committee Director

Krishnanand Kaipa

Committee Member

Venkat Maruthamuthu

Committee Member

Gene Hou

Abstract

The traditional method of cryogenic plant cool-down involves having continuous on-call staff to head into the office at any time to modify the existing multi-layered PID control systems if the on-call staff member detects a significant deviation from the cool-down plan. This thesis aims to outline an effective method for modeling the structure of systems with performance characteristics that deviate from design requirements and from ideal inlet-outlet correspondence, enabling the adjustment and modification of existing control structures across all Thomas Jefferson National Accelerator Facility (JLab) cryogenic refrigeration plants. Analytical Modeling and Gaussian Process Regression (GPR) are applied to model the components of the cryogenic facility at JLab. The Analytical component models are based on sizing equations typically used in the design process of the cryogenic facilities. Real-world application data is used to generate the GPR component models outlined. It was demonstrated that GPR models closely match the expected real-world values with minimal relative error, supporting the conclusion of this thesis and suggesting that, where applicable, further modeling of cryogenic components should use GPR as the first step to limit the need for continuous staffing during plant cool-down.

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DOI

10.25777/jkvw-kc67

ISBN

9798276039886

ORCID

0009-0005-5405-034X

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