Show simple item record

dc.contributor.advisorEmilio Baglietto.en_US
dc.contributor.authorDemarly, Etienne.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Nuclear Science and Engineering.en_US
dc.date.accessioned2021-02-19T20:35:27Z
dc.date.available2021-02-19T20:35:27Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129879
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, February, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 140-151).en_US
dc.description.abstractAccurate prediction of the Departure from Nucleate Boiling (DNB) type of boiling crisis is essential for the design of Pressurized Water Reactors (PWR) and their fuel. Recent advances in the instrumentation of boiling experiments via infrared thermometry have provided new insights on DNB physics that were ignored in past modeling efforts. The growing consensus from experimental studies that DNB is caused by a microhydrodynamic phenomenon at the boiling surface, instead of the classical macrohydrodynamic scale effects, has yet to be formulated into a working model and applied for simulation of high pressure conditions representative of PWRs. While the idea of an energy imbalance between wetted (in contact with liquid) and dry (in contact with vapor) areas has been suggested by multiple experimental groups [1-6] as a triggering mechanism for DNB, incorporating this new understanding into a functional boiling model remains an open challenge.en_US
dc.description.abstractExisting approaches to model DNB have not demonstrated the capability to generally "predict" the occurrence of the boiling crisis due to two main reasons: (1) the incomplete or inaccurate physical description of the phenomenon, and/or (2) the absence of consideration of parameters of influence, such as the contact angle or the cavity size distribution which affect DNB. Their modeling capabilities are typically limited to the thermal hydraulic conditions they were initially validated against and are not suitable when extrapolated to new untested conditions. The present work tackles the development of a new DNB model via a systematic approach that leverages understanding of the boiling crisis at the microscopic scale. From the hypothesized mechanism, a formulation is proposed and is then validated against high resolution data.en_US
dc.description.abstractThe concept of heat partitioning for nucleate boiling offers a general framework where the total heat removed at the boiling surface is split between contributions from individual heat transfer mechanisms. In this formulation, the boiling crisis is identified as the onset of instability in the energy balance at the boiling wall. The model formulation is extended to high pressure, representative of PWR conditions, and benchmarked against relevant DNB data, in comparison to the industry-standard W-3 correlation and CHF Lookup Table. The model is further adopted to evaluate the potential benefits of surface property alterations (contact angle, cavity distribution) in advanced nuclear fuel concepts aiming at delaying the boiling crisis limit.en_US
dc.description.statementofresponsibilityby Etienne Demarly.en_US
dc.format.extent175 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectNuclear Science and Engineering.en_US
dc.titleA new approach to predicting departure from Nucleate Boiling (DNB) from direct representation of boiling heat transfer physicsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.identifier.oclc1237640520en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Nuclear Science and Engineeringen_US
dspace.imported2021-02-19T20:34:57Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentNucEngen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record