Development and parallelization of a direct numerical simulation to study the formation and transport of nanoparticle clusters in a viscous fluid
| dc.contributor.advisor | Feng, Zhi-Gang | |
| dc.contributor.author | Sloan, Gregory James | |
| dc.contributor.committeeMember | Bhaganagar, Kiran | |
| dc.contributor.committeeMember | Chronopoulos, Anthony | |
| dc.date.accessioned | 2024-03-08T15:44:53Z | |
| dc.date.available | 2024-03-08T15:44:53Z | |
| dc.date.issued | 2012 | |
| dc.description | This item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID. | |
| dc.description.abstract | The direct numerical simulation (DNS) offers the most accurate approach to modeling the behavior of a physical system, but carries an enormous computation cost. There exists a need for an accurate DNS to model the coupled solid-fluid system seen in targeted drug delivery (TDD), nanofluid thermal energy storage (TES), as well as other fields where experiments are necessary, but experiment design may be costly. A parallel DNS can greatly reduce the large computation times required, while providing the same results and functionality of the serial counterpart. A D2Q9 lattice Boltzmann method approach was implemented to solve the fluid phase. The use of domain decomposition with message passing interface (MPI) parallelism resulted in an algorithm that exhibits super-linear scaling in testing, which may be attributed to the caching effect. Decreased performance on a per-node basis for a fixed number of processes confirms this observation. A multiscale approach was implemented to model the behavior of nanoparticles submerged in a viscous fluid, and used to examine the mechanisms that promote or inhibit clustering. Parallelization of this model using a masterworker algorithm with MPI gives less-than-linear speedup for a fixed number of particles and varying number of processes. This is due to the inherent inefficiency of the master-worker approach. Lastly, these separate simulations are combined, and two-way coupling is implemented between the solid and fluid. | |
| dc.description.department | Mechanical Engineering | |
| dc.format.extent | 80 pages | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.isbn | 9781267843449 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12588/5748 | |
| dc.language | en | |
| dc.subject | computational fluid dynamics | |
| dc.subject | direct numerical simulation | |
| dc.subject | high performance computing | |
| dc.subject | lattice boltzmann | |
| dc.subject | MPI | |
| dc.subject | nanoparticles | |
| dc.subject.classification | Mechanical engineering | |
| dc.subject.classification | Nanoscience | |
| dc.title | Development and parallelization of a direct numerical simulation to study the formation and transport of nanoparticle clusters in a viscous fluid | |
| dc.type | Thesis | |
| dc.type.dcmi | Text | |
| dcterms.accessRights | pq_closed | |
| thesis.degree.department | Mechanical Engineering | |
| thesis.degree.grantor | University of Texas at San Antonio | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |
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