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Massachusetts Institute of Technology

Improved turbulent lift momentum closure for multiphase computational fluid dynamics

Abstract

dc:description.abstract

More efficient boiling heat transfer systems in nuclear reactors can help lower the costs of a large, low carbon energy source. Multiphase computational fluid dynamics (M-CFD) can be utilized in the design of these systems, but requires additional modeling for interphase transfer of mass, momentum, and energy [1]. Within the momentum transfer between phases, the interfacial lift force strongly affects the lateral migration of the gas phase in bubbly flow, which strongly impacts the predictions of pressure drop and heat transfer [2]. Recent work from Sugrue has proposed an improved physical representation of the turbulent lift force utilizing a combination of direct numerical simulation (DNS) data and a numerical optimization of the lift coefficient using experimental data [3].

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Casel, Brian(Brian Scott)
Advisor dc:contributor.advisor
  • Emilio Baglietto.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/129889
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/129889

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Casel, Brian(Brian Scott). Improved turbulent lift momentum closure for multiphase computational fluid dynamics. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129889