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Interns to Industry: Connecting students to the workforce
The nuclear industry has long recognized a shortage of both skilled craft labor and professional talent. As global demand for reliable energy continues to rise—across the United States and internationally—that need has not only increased but has become critical.” This is a truth that nuclear industry consultant Jeffery P. Hawkins understands, and it is why he developed a program called Interns to Industry. The former Fluor Corporation executive said that “there has been a deficit of qualified resources in the nuclear industry, and this is forecasted to be even more so in the future, so I am working with various universities to determine how to customize their curriculums to fit the forecasted needs of the industry.”
T. Höhne, E. Krepper, D. Lucas, G. Montoya
Nuclear Technology | Volume 205 | Number 1 | January-February 2019 | Pages 48-56
Technical Paper | doi.org/10.1080/00295450.2018.1495025
Articles are hosted by Taylor and Francis Online.
The paper presents the extension of the GENeralized TwO Phase flow (GENTOP) model for phase transfer and discusses the submodels used. Boiling flow inside a wall heated vertical pipe is simulated by a multifield computational fluid dynamics (CFD) approach. Subcooled water enters the pipe from the lower end and heats up first in the near-wall region leading to the generation of small bubbles. Farther along the pipe, larger and larger bubbles are generated by coalescence and evaporation. This leads to transitions of the two-phase-flow patterns from bubbly to churn-turbulent and annular flow. The CFD simulation is based on the recently developed GENTOP concept. It is a multifield model using the Euler-Euler approach. It allows the consideration of different local flow morphologies including transitions between them. Small steam bubbles are handled as dispersed phases while the interface of large gas structures is statistically resolved. The GENTOP submodels and the wall boiling model need a constant improvement and separate, intensive validation effort using CFD-grade experiments.