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The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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General Kenneth Nichols and the Manhattan Project
Nichols
The Oak Ridger has published the latest in a series of articles about General Kenneth D. Nichols, the Manhattan Project, and the 1954 Atomic Energy Act. The series has been produced by Nichols’ grandniece Barbara Rogers Scollin and Oak Ridge (Tenn.) city historian David Ray Smith. Gen. Nichols (1907–2000) was the district engineer for the Manhattan Engineer District during the Manhattan Project.
As Smith and Scollin explain, Nichols “had supervision of the research and development connected with, and the design, construction, and operation of, all plants required to produce plutonium-239 and uranium-235, including the construction of the towns of Oak Ridge, Tennessee, and Richland, Washington. The responsibility of his position was massive as he oversaw a workforce of both military and civilian personnel of approximately 125,000; his Oak Ridge office became the center of the wartime atomic energy’s activities.”
Nikolay Ivanov Kolev
Nuclear Technology | Volume 83 | Number 1 | October 1988 | Pages 65-80
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT88-A34176
Articles are hosted by Taylor and Francis Online.
High-pressure gas injection into a low-pressure liquid pool with a free surface in cylindrical geometry with internals was numerically simulated using the computer code IVA2/005. Bubble formation and pressure history as a function of time were predicted and compared with the experimental observation for a 0.6-MPa pressure source. A comparison with the previous prediction of a 1.1-MPa pressure source experiment is made. Numerical diffusion and flow pattern prediction influence the gas propagation, which influences in turn the sharpness of the predicted bubble and water surface and the pressure history in time. The same geometry, but with a gas, was computationally simulated. The comparison proves that the code integrator works well without a constitutive package. Methods to measure the reduction of numerical diffusion are proposed. Comparison with the tree acoustic experiments shows that IVA2 can simulate pressure wave phenomena in two-phase two-component mixtures with strong nonhomogeneity.