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dc.contributor.advisorKhalid, Muhammad Saif Ullah
dc.contributor.authorKamran, Maham
dc.date.accessioned2025-05-08T12:11:01Z
dc.date.available2025-05-08T12:11:01Z
dc.date.created2025
dc.date.issued2025
dc.identifier.urihttps://knowledgecommons.lakeheadu.ca/handle/2453/5454
dc.description.abstractThis research investigates the interplay between vortex dynamics and odor transport in undulatory swimming using high-fidelity computational fluid dynamics (CFD) simulations. Building upon initial two-dimensional (2D) analyses, we extend our study to three-dimensional (3D) simulations to quantify odor effectiveness and the role of kinematics and morphology in chemical dispersion. Our results reveal that odor transport is strongly coupled with vortex structures, with convection dominating over diffusion in aquatic environments. Kinematics, rather than body shape, primarily dictate odor transport, with anguilliform swimmers generating broader and more persistent odor trails than carangiform swimmers. Swapping kinematics between Jackfish and Eel models confirms that swimming motion, not morphology, governs odor dispersal. Increasing undulation amplitude enhances odor transport by increasing momentum transfer, reinforcing the dominance of vortex-driven convection. Expanding our study to fish schooling, we analyze odor dispersion across different group configurations. While lateral odor spread intensifies with group size, downstream transport remains largely unaffected beyond a critical distance. Quantitative analysis shows that odor effectiveness decreases linearly with increased schooling, indicating that collective swimming suppresses, rather than enhances, chemical cue propagation. These insights advance our understanding of biological chemosensory mechanisms and inform the design of bio-inspired robotic systems with enhanced chemical sensing and navigation capabilities.en_US
dc.language.isoen_USen_US
dc.titleComputational investigations of integrated Vortex-Odor dynamics in the wake of fish for underwater sensingen_US
dc.typeThesisen_US
etd.degree.nameMaster of Science in Mechanical Engineeringen_US
etd.degree.levelMasteren_US
etd.degree.disciplineEngineering : Mechanicalen_US
etd.degree.grantorLakehead Universityen_US
dc.contributor.committeememberPakzad, Leila
dc.contributor.committeememberTarokh, Ali


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