Title:
Fluid dynamics of biological and mechanical olfaction

dc.contributor.advisor Hu, David L.
dc.contributor.author Spencer, Thomas L.
dc.contributor.committeeMember Alexeev, Alexander
dc.contributor.committeeMember Forest, Craig
dc.contributor.committeeMember Farrell, Mike
dc.contributor.committeeMember Goldman, Daniel
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2021-06-10T13:52:53Z
dc.date.available 2021-06-10T13:52:53Z
dc.date.created 2020-05
dc.date.issued 2020-03-25
dc.date.submitted May 2020
dc.date.updated 2021-06-10T13:52:54Z
dc.description.abstract The sense of smell is critical to a number of animals, from moths all the way to the largest mammal on land, the elephant. Despite these animals ranging across eight orders of magnitude in body mass, there are commonalities in their methods for bringing odor molecules to their sensors. Understanding the olfaction of animals can also inspire the design of autonomous smelling machines, which are currently limited in their speed and sensitivity. Most previous work on olfaction has focused on the neuroscience of animal olfaction or the algorithms involved in processing data from machine olfaction. In this dissertation, we focus on the fluid mechanics of olfaction. We used a combined experimental and theoretical approach, with particular emphasis on building machines that can mimic the olfaction of animals. We show that many animals have a hierarchical structure to their olfaction systems, either antenna or nasal cavities, that increase their surface area to improve the chance of odor deposition. Animals optimize their olfaction with behaviors varying from sniffing to angling their antenna obliquely to the wind. Both methods slow down the air near the sensing surfaces, which increases the number of molecules that can deposit by diffusion.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/64585
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Fluid Dynamics, Olfaction, Chemical Sensing, Moth, Mammal, Sniffing, Smell, Bio-inspiration
dc.title Fluid dynamics of biological and mechanical olfaction
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Hu, David L.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 3a7c3f53-fa95-4af2-869f-4acb2ebc5b88
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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