About: Mockup is a research topic. Over the lifetime, 260 publications have been published within this topic receiving 1005 citations. The topic is also known as: mock-up & demonstration model.
TL;DR: In this article , the authors compared the performance of displacement ventilation (DV) and traditional mixing ventilation (MV) in an airliner cabin, and combined the Wells-Riley equation with a real case based on a COVID-19 outbreak among passengers on a long-distance bus.
TL;DR: In this article, the authors describe a method for generating a set of records for each node of a mockup object, based on metadata stored within the framework and the beginning and ending ranges of the mockup data.
Abstract: Methods and apparatus, including computer program products, are provided for mockup data for a mockup object. In one exemplary embodiment, the method may include receiving, from a user, a name of the mockup object for which the mockup data should be created, wherein the object comprises one or more nodes. The method may also include receiving, from the user, a number of records to be created for each node of the object, determining whether to modify existing mockup data or create new mockup data for each node, receiving, from the user, a beginning range and an ending range for the mockup data, and generating, within the framework, the mockup data for each node of the object based on metadata stored within the framework and the beginning and ending range.
TL;DR: In this article, a Detached Eddy Simulation (DES) model with a modified Lagrangian method was developed to predict particle deposition in airliner cabins. And the model was validated with experimental data for particle deposition with a four-row, twin-aisle cabin mockup.
TL;DR: In this paper, the authors performed heat transfer calibration tests on helium cooled bundles of 12 artificially roughened rods with the purpose of obtaining information for the thermo-hydraulic design of the 12-rod bundle fuel element to be irradiated in BR2.
TL;DR: Using the Monte Carlo methodology of beam design and benchmarking/calibrating the computations with measurements, has resulted in an epithermal beam design which is useful for therapy of deep-seated brain tumors.
Abstract: Monte Carlo methods of coupled neutron/photon transport are being used in the design of filtered beams for Neutron Capture Therapy (NCT). This method of beam analysis provides segregation of each individual dose component, and thereby facilitates beam optimization. The Monte Carlo method is discussed in some detail in relation to NCI’ epithermal beam design. Ideal neutron beams (i.e., plane-wave monoenergetic neutron beams with no primary gamma-ray contamination) have been modeled both for comparison and to establish target conditions for a practical NCT epithermal beam design. Detailed models of the 5 MWt Massachusetts Institute of Technology Research Reactor (MITR-II) together with a polyethylene head phantom have been used to characterize approximately 100 beam filter and moderator configurations. Using the Monte Carlo methodology of beam design and benchmarking/calibrating our computations with measurements, has resulted in an epithermal beam design which is useful for therapy of deep-seated brain tumors. This beam is predicted to be capable of delivering a dose of 2000 RBE-cGy (cJ/kg) to a therapeutic advantage depth of 5.7 cm in polyethylene assuming 30 μ/g 10B in tumor with a ten-to-one tumor-to-blood ratio, and a beam diameter of 18.4 cm. The advantage ratio (AR) is predicted to be 2.2 with a total irradiation time of approximately 80 minutes. Further optimization work on the Malt-II epithermal beams is expected to improve the available beams.