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Investigation the effective factors on the forces acting on the scoop in a gas centrifuge machine in three-dimensional conditions with the DSMC method

Document Type : Research Paper

Authors

1 Department of Chemical Engineering, Isfahan University of Technology, P.O.Box: , Tehran - Iran

2 Nuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, AEOI, P.O.Box: 11365-3486, Tehran - Iran

Abstract

This article presents a simulation of a scoop inside the rotor of a gas centrifuge machine in three dimensions. The scoop inside the centrifuge machine is 3D and curved in shape. Therefore, a 3D simulation is necessary to analyze the proper flow behavior around the scoop. For this purpose, using the results of this simulation, the flow around the product and waste scoops has been investigated in three dimensions. As a result of simulation in the scoop area of the waste and product under operating conditions of pressure and temperature, it was observed that the values of these forces are directly related to the distance between the scoop and the wall, and the drag force values differ between these two areas. According to the investigations, the differences in drag force values between product and waste scoop areas can be explained by the effects of pressure, temperature, and velocity of gas molecules. There is a direct relationship between these effects and the coefficients of adaptation of momentum as well as the difference between the rotational velocity of the fluid around the scoop and the rotational velocity of the scoop per height (duѲ/dz).

Highlights

 

  1. Benedict M, Levi H, Pigford T. Nuclear chemical engineering. Nuclear Science and Engineering. 1982;82(4).

 

  1. Bird G.A. Molecular gas dynamics and the direct simulation of gas flows. New York: Oxford Univ. 1994.

 

  1. Bird G. The DSMC Method. Libraries Australia. Australia. 2013.

 

  1. Bogovalov S.V, Kislov V.A, Tronin I.V. Waves in strong centrifugal fields: dissipationless gas. Theoretical and Computational Fluid Dynamics. 2015;29(1):111-125.

 

  1. Jiang D, Zeng S. CFD simulation of 3D flowfield in a gas centrifuge. In International Conference on Nuclear Engineering. 2006;42452:403-408.

 

  1. Borman V.D, Bogovalov S.V, Borisevich V.D, Tronin I.V, Tronin V.N. The computer simulation of 3d gas dynamics in a gas centrifuge. In Journal of Physics. 2016;751(1):12017.

 

  1. Roblin P, Doneddu F. Direct monte-carlo simulations in a gas centrifuge. AIP Proceedings. 2001.

 

  1. Jiang D, Zeng S. DSMC simulation of feed jet flow in gas centrifuge. Atomic Energy Science and Technology. Department of Engineering Physics. 2011;398-401.

 

  1. Khajenoori M, Haghighi A, Safdari J, Norouzi A. Modeling and simulating of feed flow in a gas centrifuge using the Monte Carlo method to calculate the maximum separation power. Journal of Molecular Modeling. 2019;25:333.

 

  1. Yousefi-Nasab S, Safdari J, Karimi-Sabet J, Norouzi A. Study of scoop drive and polymeric surface effects on the separation factors for a gas centrifuge using MD-DSMC method. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021;43(7):1-16.

 

  1. Ghazanfari V, Salehi A.A, Keshtkar A.R, Shadman M.M, Askari M.H. Investigation of the continuum-rarefied flow and isotope separation using a hybrid CFD-DSMC simulation for UF6 in a gas centrifuge. Annals of Nuclear Energy. 2021;152:107985.

 

  1. Khajenoori M, Safdari J, Haghighi Asl A, Norouzi A. Modeling gas-granular flow in molecular using the DSMC method and continuum regions by Onsager’s pancake equation with mass sources and sinks in a rotating cylinder. Granular Matter. 2019;21(3):63.

 

  1. Wang M, Zhixin Li. Gas mixing in microchannels using the direct simulation Monte Carlo method. International Journal of Heat and Mass Transfer. 2006;49(9-10):1696-1702.

 

  1. Roohi E, Darbandi M. Hybrid DSMC/Navier-Stokes solution of rarefied micro-nano flows. Proceedings of the 2nd GASMEMS Workshop-Les Embiez. 2010.

 

  1. www.OpenFOAM.org, [Online].

 

  1. White C, Matthew K.B, Thomas J.S, Stephen M.L, Benzi J, David R.E, Jason M.R. dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver. Computer Physics Communications. 2018;224:22-43.

 

  1. Borgnakke C, Poul S.L. Statistical collision model for Monte Carlo simulation of polyatomic gas mixture. Journal of computational Physics. 1975;18(4):405-420.

 

  1. Yousefi-Nasab S, Safdari J, Karimi-Sabet J. Prediction of mole fraction distribution of various gases using dsmcFoam solver for the simulation of a stepped molecular pump under different operating conditions. Vacuum. 2022;111224.

 

  1. Yousefi nasab S, Karimi sabet J, Safdari J, Amini E, Norouzi A. Investigation gas behavior inside a gas centrifuge using dsmc code developed and dsmcFOAM solver. Journal of Nuclear Science and Technology. 2022;98(1):54-63 [In Persian].

Keywords

References
  1. Benedict M, Levi H, Pigford T. Nuclear chemical engineering. Nuclear Science and Engineering. 1982;82(4).

 

  1. Bird G.A. Molecular gas dynamics and the direct simulation of gas flows. New York: Oxford Univ. 1994.

 

  1. Bird G. The DSMC Method. Libraries Australia. Australia. 2013.

 

  1. Bogovalov S.V, Kislov V.A, Tronin I.V. Waves in strong centrifugal fields: dissipationless gas. Theoretical and Computational Fluid Dynamics. 2015;29(1):111-125.

 

  1. Jiang D, Zeng S. CFD simulation of 3D flowfield in a gas centrifuge. In International Conference on Nuclear Engineering. 2006;42452:403-408.

 

  1. Borman V.D, Bogovalov S.V, Borisevich V.D, Tronin I.V, Tronin V.N. The computer simulation of 3d gas dynamics in a gas centrifuge. In Journal of Physics. 2016;751(1):12017.

 

  1. Roblin P, Doneddu F. Direct monte-carlo simulations in a gas centrifuge. AIP Proceedings. 2001.

 

  1. Jiang D, Zeng S. DSMC simulation of feed jet flow in gas centrifuge. Atomic Energy Science and Technology. Department of Engineering Physics. 2011;398-401.

 

  1. Khajenoori M, Haghighi A, Safdari J, Norouzi A. Modeling and simulating of feed flow in a gas centrifuge using the Monte Carlo method to calculate the maximum separation power. Journal of Molecular Modeling. 2019;25:333.

 

  1. Yousefi-Nasab S, Safdari J, Karimi-Sabet J, Norouzi A. Study of scoop drive and polymeric surface effects on the separation factors for a gas centrifuge using MD-DSMC method. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2021;43(7):1-16.

 

  1. Ghazanfari V, Salehi A.A, Keshtkar A.R, Shadman M.M, Askari M.H. Investigation of the continuum-rarefied flow and isotope separation using a hybrid CFD-DSMC simulation for UF6 in a gas centrifuge. Annals of Nuclear Energy. 2021;152:107985.

 

  1. Khajenoori M, Safdari J, Haghighi Asl A, Norouzi A. Modeling gas-granular flow in molecular using the DSMC method and continuum regions by Onsager’s pancake equation with mass sources and sinks in a rotating cylinder. Granular Matter. 2019;21(3):63.

 

  1. Wang M, Zhixin Li. Gas mixing in microchannels using the direct simulation Monte Carlo method. International Journal of Heat and Mass Transfer. 2006;49(9-10):1696-1702.

 

  1. Roohi E, Darbandi M. Hybrid DSMC/Navier-Stokes solution of rarefied micro-nano flows. Proceedings of the 2nd GASMEMS Workshop-Les Embiez. 2010.

 

  1. www.OpenFOAM.org, [Online].

 

  1. White C, Matthew K.B, Thomas J.S, Stephen M.L, Benzi J, David R.E, Jason M.R. dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver. Computer Physics Communications. 2018;224:22-43.

 

  1. Borgnakke C, Poul S.L. Statistical collision model for Monte Carlo simulation of polyatomic gas mixture. Journal of computational Physics. 1975;18(4):405-420.

 

  1. Yousefi-Nasab S, Safdari J, Karimi-Sabet J. Prediction of mole fraction distribution of various gases using dsmcFoam solver for the simulation of a stepped molecular pump under different operating conditions. Vacuum. 2022;111224.

 

  1. Yousefi nasab S, Karimi sabet J, Safdari J, Amini E, Norouzi A. Investigation gas behavior inside a gas centrifuge using dsmc code developed and dsmcFOAM solver. Journal of Nuclear Science and Technology. 2022;98(1):54-63 [In Persian].
Journal of Nuclear Science, Engineering and Technology (JONSAT)
Volume 45, Issue 1 - Serial Number 107
April 2024
Pages 134-144
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