Development of Analytical Model for Predicting Dual-Phase Ejector Performance

2016 ◽  
Author(s):  
Emily Elmore ◽  
Khalid Al-Mutairi ◽  
Bilal Hussain ◽  
A. Sherif El-Gizawy
Keyword(s):  
Analytical Model ◽  
Single Phase ◽  
Phase Model ◽  
Pressure Recovery ◽  
Gas Mixture ◽  
Dual Phase ◽  
Model Predictions ◽  
Phase Liquid ◽  
Loss Coefficients ◽  
The Individual

An analytical model is developed to extend the single-phase model to dual-phase applications. The introduced dual-phase model helps in predicting ejector performance, particularly pressure recovery and efficiency, to entrained fluids of a liquid/gas mixture. The empirical loss coefficients are replaced by analytical equations accounting for the geometry of and flow conditions within the individual ejector components. In order to verify the present analytical model predictions, liquid ejector performance is studied experimentally when the entrained fluid is both a single-phase liquid (water) and a dual-phase liquid/gas mixture (water/air). The results show consistently better agreement with the experimental data than those delivered by existing models, reducing the root mean square error of the pressure recovery prediction to less than 10% of its former value.

scholarly journals The DAQ systems of the DUNE Prototypes at CERN/

2019 ◽  
Vol 214 ◽  
pp. 09001
Author(s):  
Karol Hennessy
Keyword(s):  
Data Storage ◽  
Single Phase ◽  
Liquid Argon ◽  
Neutrino Experiment ◽  
Dual Phase ◽  
Beam Test ◽  
Photon Detector ◽  
Design And Implementation ◽  
Long Baseline ◽  
Phase Liquid

DUNE is a long baseline neutrino experiment due to take data in 2025. Two prototypes of the DUNE far detector were built to assess candidate technologies and methods in advance of the DUNE detector build. Here are described the data acquisition (DAQ) systems for both of its prototypes, Proto-DUNE single-phase (SP) and ProtoDUNE dual-phase (DP). The ProtoDUNEs also break records as the largest beam test experiments yet constructed, and are the fundamental elements of CERN’s Neutrino Platform. This renders each ProtoDUNE an experiment in its own right and the design and construction have been chosen to meet this scale. Due to the aggressive timescale, off-the-shelf electronics have been chosen to meet the demands of the experiments where possible. The ProtoDUNE-SP cryostat comprises two primary sub-detectors - a single phase liquid Argon TPC and a companion Photon Detector. The TPC has two candidate readout solutions under test in ProtoDUNE-SP – RCE (ATCAbased) and FELIX (PCIe-based). Fermilab’s artDAQ is used as the dataflow software for the single phase experiment. ProtoDUNE-DP will read out the dual-phase liquid argon detector using a microTCA solution. The timing, triggering, and compression schemes are described for both experiments, along with mechanisms for sending data offline to permanent data storage in CERN’s EOS infrastructure. This paper describes the design and implementation of the TDAQ systems as well as first measurements of their performance.

A dual-phase model for the individual learning process in industrial tasks

1995 ◽  
Vol 27 (3) ◽  
pp. 265-271 ◽  
Author(s):  
E. M. DAR-EL ◽  
K. AYAS ◽  
I. GILAD
Keyword(s):  
Learning Process ◽  
Individual Learning ◽  
Phase Model ◽  
Dual Phase ◽  
The Individual

scholarly journals О бародиффузии при медленных течениях газовой смеси

2019 ◽  
Vol 89 (5) ◽  
pp. 646
Author(s):  
В.М. Жданов
Keyword(s):  
Equations Of Motion ◽  
Considerable Effect ◽  
Gas Mixture ◽  
Slip Coefficient ◽  
Knudsen Numbers ◽  
Slow Flows ◽  
Diffusion Slip ◽  
The Mean ◽  
The Individual ◽  
Small Knudsen Numbers

AbstractBarodiffusion in slow flows of a gas mixture is studied with an approximation using hydrodynamic equations of motion for the individual mixture components. It is shown that consideration of the viscous momentum transfer and the contribution of Knudsen layers for the mixture flowing in a channel has a considerable effect on the value of the barodiffusion factor. The relations are obtained for the mean diffusion fluxes of components and for the total flux of the mixture in a circular cylindrical capillary; these relations are valid for moderately small Knudsen numbers used for calculation of the diffusion baroeffect and separation effect when the gas mixture flows in a set of capillaries connecting two volumes. The modification of the relations for the barodiffusion factor (and for the diffusion slip coefficient cross-linked with it) allows interpreting the sign alteration of these effects observed experimentally for some gas mixtures at intermediate Knudsen numbers.

scholarly journals Investigations of long-term trends in the ionosphere with world-wide ionosonde observations*

2005 ◽  
Vol 2 ◽  
pp. 253-258 ◽  
Author(s):  
J. Bremer
Keyword(s):  
Data Series ◽  
Model Calculations ◽  
Maximum Electron Density ◽  
Model Predictions ◽  
Density Values ◽  
Long Term Trends ◽  
Experimental Values ◽  
The Individual ◽  
Global Mean

Abstract. Basing on model calculations by Roble and Dickinson (1989) for an increasing content of atmospheric greenhouse gases in the Earth’s atmosphere Rishbeth (1990) predicted a lowering of the ionospheric F2- and E-regions. Later Rishbeth and Roble (1992) also predicted characteristic longterm changes of the maximum electron density values of the ionospheric E-, F1-, and F2-layers. Long-term observations at more than 100 ionosonde stations have been analyzed to test these model predictions. In the E- and F1-layers the derived experimental results agree reasonably with the model trends (lowering of h'E and increase of ƒoE and ƒoF1, in the E-layer the experimental values are however markedly stronger than the model data). In the ionospheric F2-region the variability of the trends derived at the different individual stations for hmF2 as well as ƒoF2 values is too large to estimate reasonable global mean trends. The reason of the large differences between the individual trends is not quite clear. Strong dynamical effects may play an important role in the F2-region. But also inhomogeneous data series due to technical changes as well as changes in the evaluation algorithms used during the long observation periods may influence the trend analyses.

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