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dc.rights.licenseCC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorUnderhill, Patrick T.
dc.contributorHirsa, Amir H.
dc.contributorPlawsky, Joel L., 1957-
dc.contributorBequette, B. Wayne
dc.contributor.authorBozorgi, Yaser
dc.date.accessioned2021-11-03T08:13:09Z
dc.date.available2021-11-03T08:13:09Z
dc.date.created2014-10-08T10:29:30Z
dc.date.issued2014-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/1178
dc.descriptionAugust 2014
dc.descriptionSchool of Engineering
dc.description.abstractThe key assumption behind all previous studies on collective formation of SPPs is that the suspending fluid is a Newtonian fluid. However, biological fluids like mucus and saliva are viscoelastic. In this thesis, I will study the impacts of viscoelasticity, induced by adding polymers to the Newtonian suspending fluid, on the collective dynamics of SPPs driven by only hydrodynamic interactions. We will use two simulation methods that complement each other.
dc.description.abstractThe results of this study will improve our knowledge about the role of viscoelasticity in active suspensions. The impacts of this study may be interesting for designing biomedical techniques since many biological fluids are at least partially viscoelastic.
dc.description.abstractWe also examined the rheology of dilute active suspensions under a large amplitude oscillatory shear. The kinemtic approach taken for this part of the thesis shows interesting results like a negative contribution to the suspension viscosity for some types of active particles.
dc.description.abstractThe continuum method is based on a mean field theory for representing the constituent particles. Before numerically solving the system for long times, it is instructive to analytically solve the equations in the linear region near an isotropic state and at the onset of hydrodynamic instability where nonlinear terms are still insignificant. This linear stability analysis provides a foundation to understand the formation of collective behavior at later times. The second method uses a discrete simulation scheme on the colony of SPPs and polymers. Each swimmer, as well as each molecule of polymer, is treated individually. Both continuum and discrete techniques take a dynamics approach to understand how rheology affects the collective dynamics of SPPs. The emphasis in this thesis is on continuum scheme because of some computational limitations in the discrete simulation.
dc.description.abstractBacteria often use interactions within the group to produce a group behavior. The collective behavior of bacteria or self propelled particles (SPPs) at high enough concentrations has opened a new area of research in fluid mechanics. This is because different types of swimmers commonly use hydrodynamic interactions (HI) as a mechanism for collective behavior although they may simultaneously use other mechanisms of interactions.
dc.description.abstractThe self-driven collective structures in viscoelastic suspensions are found to be shorter and more dispersed in comparison with those in Newtonian fluids. The collective patterns in viscoelastic suspensions evolve "irregularly" rather than periodically. The competition between the relaxation time of polymers and the characteristic time in SPP's probability equation is found to be responsible for the damp in the collective structures.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectChemical and biological engineering
dc.titleMultiscale simulation of the collective behavior of rodlike self-propelled particles in viscoelastic fluids
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid172959
dc.digitool.pid172960
dc.digitool.pid172961
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Chemical and Biological Engineering


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CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.