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020 ▼a 9780438283503
035 ▼a (MiAaPQ)AAI10969835
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 539.76
1001 ▼a Liu, Yang.
24510 ▼a Development of a Data-Driven Analysis Framework for Boiling Problems with Multiphase-CFD Solver.
260 ▼a [S.l.] : ▼b North Carolina State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 153 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Nam Dinh.
5021 ▼a Thesis (Ph.D.)--North Carolina State University, 2018.
520 ▼a Flow boiling is a highly efficient heat transfer regime, which is used for thermal management in various engineered systems. Among the modeling tools for boiling, the Multiphase Computational Fluid Dynamics (MCFD) solver based on Eulerian-Euleri
520 ▼a This dissertation presents a data-driven analysis framework to address this open issue. The framework aims to leverage state of the art statistical methods and the increasingly affluent boiling data, from both high-resolution experimental measur
520 ▼a First, a boiling data processing and storage procedure is developed for high-resolution experiments and high-fidelity simulations. The extracted data are stored in a structured manner to ensure the flexibility for multipurpose usage. Second, a c
590 ▼a School code: 0155.
650 4 ▼a Nuclear engineering.
650 4 ▼a Statistics.
690 ▼a 0552
690 ▼a 0463
71020 ▼a North Carolina State University. ▼b Nuclear Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0155
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001278 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자