TECHNICAL MECHANICS
ISSN (Print): 1561-9184, ISSN (Online): 2616-6380

English
Ukrainian
Home > Journal Issues > No 3 (2024) Technical mechanics > 6
___________________________________________________

UDC 519.245: 539.196.3: 533.(17+5+72)

Technical mechanics, 2024, 3, 86 - 96

VERIFYING AN ALGORITHM FOR THE TEST PARTICLE METHOD ON THE PROBLEM OF RAREFIED AXIAL JET FLOW PAST A CONES

Pecherytsia L. L.

      ABOUT THE AUTHORS

Pecherytsia L. L.
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine

      ABSTRACT

      This paper is concerned with an aerodynamic calculation of supersonic gas plume flows and the determination of the forces they exert on obstacles. The paper presents a development of the test particle statistical method (TPSM) to numerically simulate supersonic gas plumes over a wide range of flow conditions. The work is based on the idea of a combined approach, i.e., the use of the gas-dynamic parameter distribution at the nozzle exit or on the conventional boundary of the dense core of the plume as input data for a TPSM algorithm adapted from homogeneous flows to plume ones. Combining methods of continual aerodynamics (inside or near the nozzle, where a continuum flow takes place) and the TPSM (where the motion is described on a molecular-kinetic level) allows one to solve supersonic plume efflux problems for arbitrarily rarefied plumes.
      The TPSM plume algorithm was tested to verify its reliability on the problem of axial flow past a cone. At the initial stage of the use of the combined approach, consideration was given to a rather rarefied gas flow, for which the gas-dynamic parameters at the nozzle exit can be used as TPSM input data. The force distribution over the cone surface and the static pressure upstream of the cone were calculated. The TPSM results were found to be in satisfactory agreement with the available direct simulation Monte-Carlo and experimental data. It was concluded that using the plume velocity and density distributions at the continual zone exit found from the Navier–Stokes equations as TPSM input data would significantly improve the expected results.
      This use of the TPSM in an aerodynamic calculation of gas plumes is the first in Ukraine. The TPM offers saving in computational resources: the TPSM running time depends on a variety of factors, but it is many times shorter than that of the direct simulation Monte Carlo method.
      Pdf (English)







      KEYWORDS

rarefied gas dynamics, jet flow, statistical simulation, test particle Monte Carlo method, numerical calculations, flow regimes, gas-dynamic parameters, force load, flow obstacles

      FULL TEXT:

Pdf (English)









      REFERENCES

1. Bass V. P. Gas-dynamic aspects of the formation of an external atmosphere around spacecraft moving in the upper atmosphere. .Earth Satellite Observations. Scientific Results of the Intercosmos Cooperation. 1986. Iss. 24. Pp. 158-179. (in Russian).

2. Davis D. H. Monte Carlo calculation of molecular flow rates through a cylindrical elbow and pipes of other shapes. J. Appl. Phys. 1960. V. 31. Iss. 7. Pp. 169-1176. https://doi.org/10.1063/1.1735797

3. Fan C., Gee C., Fong M. C. Monte Carlo simulation for backscatter of outgassing molecules from simple spacecraft surfaces. J. Space Rockets. 1994. V. 31 No.4. https://doi.org/10.2514/3.26491

4. Tuer T. W., Springer G. S. A test particle Monte Carlo method. Computers & Fluids. 1973. V. 1. Iss. 4. Pp. 399-417. https://doi.org/10.1016/0045-7930(73)90006-6

5. Plotnikov M., Shkarupa E. Construction of an upper error bound and optimization of the test particle method. Russian Journal of Numerical Analysis and Mathematical Modelling. 2008. V. 23. No. 3. Pp. 251-264. https://doi.org/10.1515/RJNAMM.2008.016

6. Xu-Hong J., Fei H., Xiao-Li Ch., Qiang W., Bing W. Numerical analysis of flows past two parallel flat plates in the free-molecular regime. International Journal of Modern Physics B. 2020. V. 34. Iss. 14. 2040120. https://doi.org/10.1142/S0217979220401207

7. Xu-Hong J., Fei H. Zhi Ch., Xiao-Li Ch. Test particle Monte Carlo simulation of return flux on various geometric surfaces due to ambient scatter of outgassing molecules. Procedia Engineering. V. 99. Pp. 1465-1470. https://doi.org/10.1016/j.proeng.2014.12.686

8. Liu B., Ma Y., Guo D., He P. 3-D Pressure distribution in molecular gas flow vacuum system: A simulation study in event-triggering test particle Monte Carlo method. Journal of Vacuum Science and Technology. 2018. V. 38. Iss. 5. Pp. 363-368.

9. Xu-Hong J., Fei H., Xiao-Li Ch., Qiang W., Bing W. Monte Carlo simulation for aerodynamic coefficients of satellites in low-Earth Orbit. Acta Astronautica. 2019. V. 160. Pp. 222-229. https://doi.org/10.1016/j.actaastro.2019.04.012

10. Sheridan P. L., Paul S. N., Avendano-Franco G., Mehta P. M. Updates and improvements to the satellite drag coefficient response surface modeling toolkit. Advances in Space Research. 2022. V. 69. Iss. 10. Pp. 3828-3846. https://doi.org/10.1016/j.asr.2022.02.044

11. Luo X., Day Chr. Investigation of a new Monte Carlo method for the transitional gas flow. AIP Conference Proceedings. 2011. V. 1333. Pp. 272-276. https://doi.org/10.1063/1.3562660

12. Pecherytsia L. L., Paliy O. S. Application of the method of probe particles to the aerodynamic calculation of spacecraft. Teh. Meh. 2017. No. 3. Pp. 53-63. (in Russian). https://doi.org/10.15407/itm2017.03.053

13. Bird G. A. Molecular Gas Dynamics and the Direct Simulation of Gas Flows. Oxford: Oxford University Press, 1994. 458 pp. https://doi.org/10.1093/oso/9780198561958.001.0001

14. Grishin I. A., Zakharov V. V., Lukyanov G. A. Parallelization by Direct Simulation Monte Carlo Data in Molecular Gas Dynamics. Preprint. Institute for High-Performance Computations and Databases. St Petersburg. 1998. No. 3. 32 pp. (in Russian).

15. Charton V., Awad A., Labaune J. Optimisation of a hybrid NS-DSMC methodology for continuous-rarefied jet flows. Acta Astronautica. 2022. V. 195. Pp. 295- 308. https://doi.org/10.1016/j.actaastro.2022.03.012

16. Shen Y., Zhang J., Xu X., Liu J., Zhang Z., Jiao Y. Investigation on the opposing jet in the hypersonic rare?ed flow over a vehicle based on the DSMC method. Actuators. 2022. V. 11. No. 6. 164. https://doi.org/10.3390/act11060164

17. Wang H., Lai B., Qu Z., Ming P. Moving impingement heat transfer in a three-dimensional rare?ed hydrogen gas jet based on the direct simulation Monte Carlo method coupled with the finite difference method. Int. J. Heat Mass Transf. 2022. V. 188. 122586. https://doi.org/10.1016/j.ijheatmasstransfer.2022.122586

18. White C., Borg M. K., Scanlon T. J., Longshaw S. M., John B., Emerson D. R., Reese J. M. DSMS Foam+: An OpenFOAM based direct simulation Monte Carlo solver. Computer Physics Communications. 2018. V. 224. Pp. 22-43. https://doi.org/10.1016/j.cpc.2017.09.030

19. Tuer T. W. A Test Particle Monte Carlo Method with Application to the Free Jet Expansion Problem. Ph. D of Philosophy (Mechanical Engineering) Thesis. The University of Michigan. 1973. https://doi.org/10.1016/0045-7930(73)90006-6

20. He B., Zhang J., Cai G. Research on vacuum plume and its effects. Chin. J. Aeronaut. 2013. V. 26. Pp. 27-36. https://doi.org/10.1016/j.cja.2012.12.016

21. Bi H., Zhang Y., He Z., Zuo G. A coupled NS-DSMC method applied to supersonic molecular beam and experimental validation. Vacuum. 2023. V. 214. No. 12-13. 112228. https://doi.org/10.1016/j.vacuum.2023.112228

22. Kumar V., Bhandarkar U. V., Singh R. K., Sharma A. Cartesian grid-based hybrid NS-DSMC methodology for continuum-rarefied gas flows around complex geometries. Numerical Heat Transfer. Part B: Fundamentals. An International Journal of Computation and Methodology. 2024. V. 85. Iss. 7. Pp. 883-905. https://doi.org/10.1080/10407790.2023.2257385

23. Pecherytsia L.L., Smila T. G. Application of the test-particle statistical method for the simulation of rarefied plume in a vacuum. Space Sci. & Technol. 2023.V. 29, No. 4. Pp. 12-23. (in Ukrainian), https://doi.org/10.15407/knit2023.04.012

24. Smila T. G., Pecherytsia L. L. Numerical gas-dynamic computational methods in problems of rarefied jet flow about obstacles. Teh. Meh. 2022. No. 2. Pp. 71-86. (in Ukrainian). https://doi.org/10.15407/itm2022.02.071

25. Boyd I. D., Penko P. F., Cone D. L., Howell T. G. Preliminary experimental and numerical studies of plume impingement on a 100 degree. AIAA Paper 94-3142. 30th AIAMASME/SAE/ASEE Joint Propulsion Conference. Indianapolis, June 27-29, 1994. Pp. 1-10.

26. Boyd I. D, Penko P. F., Meissner D. L., De Witt K. J. Experimental and numerical investigations of low-density nozzle and plume flows of nitrogen. AIAA Journal. 1992. V. 30. No. 10. Pp. 2453-2461. https://doi.org/10.2514/3.11247

27. Kannenberg K. C. Computational Methods for the Direct Simulation Monte Carlo Technique with Application to Plume. PhD Dissertation. Cornell University, 1998. 154 pp.





Copyright (©) 2024 Pecherytsia L. L.

Copyright © 2014-2024 Technical mechanics


____________________________________________________________________________________________________________________________
GUIDE
FOR AUTHORS
Guide for Authors ==================== Open Access Policy
Open Access Policy ==================== REGULATIONS
on the ethics of publications
REGULATIONS on the ethics of publications ====================