Abstract
Naval propulsion is a critical component for every vessel, and it is the subject of this thesis, specifically bio-inspired propulsion. Numerical modeling is used as a tool to understand the relationship between mechanical undulation and the hydrodynamic response. Through three stages, the research presented here examines and refines tools for understanding fundamentals of undulating propulsion. Those three objectives are: to verify and validate the proposed numerical models against existing experiments, establishing a baseline of fidelity; to examine the causal linkage between fluid-boundary interactions and undulating propulsion; and to create a moment based method for characterizing generalized undulating propulsive mechanisms. First, a verification and validation effort is performed for three representative experiments which exhibit key characteristics of undulating propulsion. As a part of these validation efforts, uncertainty quantification is used to highlight and guide appropriate regions for CFD application. Second, parametric studies are performed on a simplified undulating bodies to generate an understanding of how localized mechanical deformations from a generic swimming motion, shape the unsteady fluid dynamics of the system. Finally, to quantify the performance and efficiency of various swimming motions, a moment based approach is developed which examines wake profiles and computes efficiency metrics. The sum total of these three efforts provides a unified, coherent understanding of common forms of undulating propulsion and can propel future work in the field.
Notes
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Graduation Date
2020
Semester
Spring
Advisor
Kinzel, Michael
Degree
Master of Science in Aerospace Engineering (M.S.A.E.)
College
College of Engineering and Computer Science
Department
Mechanical and Aerospace Engineering
Degree Program
Aerospace Engineering; Thermofluid Aerodynamic Systems Track
Format
application/pdf
Identifier
CFE0007999; DP0023139
URL
https://purls.library.ucf.edu/go/DP0023139
Language
English
Release Date
May 2020
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Loubimov, George, "Efforts in Numerical Modeling of Undulating Propulsion" (2020). Electronic Theses and Dissertations, 2020-2023. 93.
https://stars.library.ucf.edu/etd2020/93