Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

Optimization of outer core to reduce end effect of annular linear induction electromagnetic pump in prototype Generation-IV sodium-cooled fast reactor

  • Received : 2019.07.26
  • Accepted : 2019.12.09
  • Published : 2020.07.25
Download PDF
⟨ Previous Next ⟩

Abstract

An annular linear induction electromagnetic pump (ALIP) which has a developed pressure of 0.76 bar and a flow rate of 100 L/min is designed to analysis end effect which is main problem to use ALIP in thermohydraulic system of the prototype generation-IV sodium-cooled fast reactor (PGSFR). Because there is no moving part which is directly in contact with the liquid, such as the impeller of a mechanical pump, an ALIP is one of the best options for transporting sodium, considering the high temperature and reactivity of liquid sodium. For the analysis of an ALIP, some of the most important characteristics are the electromagnetic properties such as the magnetic field, current density, and the Lorentz force. These electromagnetic properties not only affect the performance of an ALIP, but they additionally influence the end effect. The end effect is caused by distortion to the electromagnetic field at both ends of an ALIP, influencing both the flow stability and developed pressure. The electromagnetic field distribution in an ALIP is analyzed in this study by solving Maxwell's equations and using numerical analysis.

Keywords

References

  1. K. Aizawa, et al., Electromagnetic pumps for main cooling systems of commercialized sodium-cooled fast reactor, J. Nucl. Sci. Technol. 48 (3) (2011) 344-352. https://doi.org/10.3327/jnst.48.344
  2. H.R. Kim, The design and fabrication of a small MHD pump for liquid sodium circulation, Ann. Nucl. Energy 73 (2014) 162-167. https://doi.org/10.1016/j.anucene.2014.06.048
  3. J.P. Verkamp, R.G. Rhudy, Electromagnetic Alkali Metal Pump Research Program, GENERAL ELECTRIC CO CINCINNATI OH, 1966.
  4. D.H. Hahn, Advanced SFR design concepts and R&D activities, Nucl. Eng. Technol. 41 (4) (2009) 427-446. https://doi.org/10.5516/NET.2009.41.4.427
  5. E. Koroteeva, et al., Numerical modeling and design of a disk-type rotating permanent magnet induction pump, Fusion Eng. Des. 106 (2016) 85-92. https://doi.org/10.1016/j.fusengdes.2016.03.030
  6. H. Araseki, et al., Double-supply-frequency pressure pulsation in annular linear induction pump, part II: reduction of pulsation by linear winding grading at both stator ends, Nucl. Eng. Des. 200 (3) (2000) 397-406. https://doi.org/10.1016/S0029-5493(00)00254-5
  7. C.O. Maidana, J.E. Nieminen, First studies for the development of computational tools for the design of liquid metal electromagnetic pumps, Nucl. Eng. Technol. 49 (1) (2017) 82-91. https://doi.org/10.1016/j.net.2016.07.002
  8. S.A. Nasar, Linear Motion Electric Machines, John Wiley & Sons, New York, 1976.
  9. D.K. Cheng, Fundamentals of Engineering Electromagnetics, Pearson Education, 1993.
  10. J. Kwak, H.R. Kim, Magnetic field analysis of an electromagnetic pump for sodium thermohydraulic test in the sodium test loop for safety simulation and assessment-phase 1, Prog. Nucl. Energy 101 (2017) 235-242. https://doi.org/10.1016/j.pnucene.2017.08.001
  11. C.O. Maidana, J.E. Nieminen, Software development and multiphysics analysis of liquid metal annular linear induction pumps, in: 15th International Energy Conversion Engineering Conference, 2017.
  12. H. Araseki, et al., Magnetohydrodynamic instability in annular linear induction pump: Part I. Experiment and numerical analysis, Nucl. Eng. Des. 227 (1) (2004) 29-50. https://doi.org/10.1016/j.nucengdes.2003.07.001

Cited by

  1. A competitive study on different operational models for MHD flow balancing and thermal management inside a fusion blanket manifold vol.136, pp.6, 2021, https://doi.org/10.1140/epjp/s13360-021-01631-5
  2. Multi-objective optimization to minimize pumping power and flow non-uniformity at the outlets of a distributor manifold using CFD simulations and ANN rapid predictions vol.188, 2020, https://doi.org/10.1016/j.measurement.2021.110566