International Journal of High Energy Physics

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Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures

Received: 13 March 2017    Accepted: 06 April 2017    Published: 02 May 2017
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Abstract

The aim of this study is to execute the computational fluid dynamics (CFD) simulation of high speed jet under different input pressures (i.e., 80, 120, 160, 200, and 240 MPa). In particular, this study focuses on the pressure distributions and streamlines of the orifice in high speed jet, primarily because the orifice plays a role in accelerating the flow of liquid, having significant effects on the working performance of high speed jet. Firstly, the two-dimensional geometric model of high speed jet is established on the basis of the actual operational conditions. Next, the unstructured grids of high speed jet are generated by means of ICEM CFD 16.0. Virtually, the computational fluid dynamics simulation of high speed jet is a two-phase flow (gas-liquid) problem, so the homogeneous (Eulerian-Eulerian) two-phase model is employed to carry out the gas-liquid interaction. Particularly, the turbulent flow computation of high speed jet is carried out with procedures based on the Reynolds-averaged Navier-Stokes (RANS) equations. As the flow of high speed jet is highly turbulent, the RNG k-ɛ turbulence model derived by Yakhot et al. (1992) is utilized in this study. Finally, the computational fluid dynamics (CFD) simulation of high speed jet is implemented by using the CFX-Solver in ANSYS CFX 16.0. The simulation results show that when liquid flows through the orifice, the pressure of flows decreases swiftly, whereas the velocity of flows skyrockets to the maximum value and then decreases slightly. In addition, the relationship between the working pressure and input pressure and the relationship between the working velocity and input pressure are achieved, which could provide certain theoretical guidance for predicting the working pressure and velocity of high speed jet based on real input pressures.

DOI 10.11648/j.ijhep.20170401.12
Published in International Journal of High Energy Physics (Volume 4, Issue 1, February 2017)
Page(s) 12-18
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Computational Fluid Dynamics, Finite Volume Method, Gas-Liquid Two Phase, High Speed Jet (HSJ), Input Pressure, Unstructured Grids, Reynolds-Averaged Navier-Stokes (RANS) Equations, RNG Turbulence Model

References
[1] S. Y. Soon, J. Harbidge, N. J. Titchener-Hooker, and P. A. Shamlou, “Prediction of drop breakage in an ultra-high velocity jet homogenizer,” Journal of Chemical Engineering of Japan, vol. 34, no. 5, pp. 640-646, 2001.
[2] Z. Fu, S. J. Luo, J. N. BeMiller, W. Liu, and C. M. Liu, “Influence of high-speed jet on solubility, rheological properties, morphology and crystalline structure of rice starch,” Starch/Stärke, vol. 67, pp. 1-9, 2015.
[3] W. Xia, F. Wang, J. H. Li, X. Y. Wei, T. K. Fu, L. H. Cui, T. Li, and Y. F. Liu, “Effect of high speed jet on the physical properties of tapioca starch,” Food Hydrocolloids, vol. 49, pp. 35-41, 2015.
[4] Z. Fu, S. J. Luo, J. N. BeMiller, W. Liu, and C. M. Liu, “Effect of high-speed jet on flow behavior, retrogradation, and molecular weight of rice starch,” Carbohydrate Polymers, vol. 133, pp. 61-66, 2015.
[5] Z. Fu, S. J. Luo, W. Liu, C. M. Liu, and L. J. Zhan, “Structural changes induced by high speed jet on invitro digestibility and hydroxypropylation of rice starch,” International Journal of Food Science & Technology, vol. 51, pp. 1034-1040, 2016.
[6] H. K. Versteeg and W. Malalasekera, An introduction to computational fluid dynamics: The finite volume method, 2nd Edition, Prentice Hall, Harlow, UK, 2007.
[7] J. H. Ferziger and M. Perić, Computational methods for fluid dynamics, 3rd Edition, Springer, New York, USA, 2002.
[8] Y. F. Fu, J. Gong, P. W. Li, and Z. M. Yang, “Fatigue life assessment of screw blades in screw sand washing machine under extreme load,” American Journal of Mechanical Engineering, vol. 5, no. 1, pp. 1-7, 2017.
[9] T. N. Ofei, “Effect of yield power law fluid rheological properties on cuttings transport in eccentric horizontal narrow annulus,” Journal of Fluids, vol. 2016, Article ID 4931426, 10 pages, 2016.
[10] Y. H. Yu and Y. Li, “Reynolds-Averaged Navier-Stokes simulation of the heave performance of a two-body floating-point absorber wave energy system,” Computers & Fluids, vol. 73, pp. 104-114, 2013.
[11] H. Xiao, J. L. Wu, J. X. Wang, R. Sun, and C. J. Roy, “Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach,” Journal of Computational Physics, vol. 324, pp. 115-136, 2016.
[12] S. J. Kim, J. S. Jung, and S. Kang, “Fully three-dimensional Reynolds-averaged Navier-Stokes modeling for solving free surface flows around coastal drainage gates,” Journal of Hydro-environment Research, vol. 13, pp. 121-133, 2016.
[13] V. Yakhot and S. A. Orszag, “Renormalization group analysis of turbulence. I. basic theory,” Journal of Scientific Computing, vol. 1, no. 1, pp. 3-51, 1986.
[14] U. Y. Jeong, H. M. Koh, and H. S. Lee, “Finite element formulation for the analysis of turbulent wind flow passing bluff structures using the RNG model,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 90, pp. 151-169, 2002.
[15] J. J. Kim and J. J. Baik, “A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG turbulence model,” Atmospheric Environment, vol. 38, pp. 3039-3048, 2004.
[16] V. Yakhot, S. A. Orszag, S. Thangam, T. B. Gatski, and C. G. Speziale, “Development of turbulence models for shear flows by a double expansion technique,” Physics of Fluids A Fluid Dynamics, vol. 4, no. 7, pp. 1510-1520, 1992.
[17] D. R. Culver, E. Dowell, D. Smith, Y. Urzhumov, and A. Varghese, “A Volumetric Approach to Wake Reduction: Design, Optimization, and Experimental Verification,” Journal of Fluids, vol. 2016, Article ID 3587974, 15 pages, 2016.
[18] W. M. Elnaggar, Z. H. Chen, and Z. G. Huang, “Numerical investigations of body tail projectile,” Journal of Applied Science and Engineering, vol. 19, no. 2, pp. 163-168, 2016.
[19] Z. Shang, J. Lou, and H. Y. Li, “Numerical simulation of water jet flow using diffusion flux mixture model,” Journal of Fluids, vol. 2014, Article ID 193215, 6 pages, 2014.
Author Information
  • Chinese Agricultural Ministry Key Laboratory of Tropical Crop Production Processing, Agricultural Product Processing Research Institute at Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China

  • Chinese Agricultural Ministry Key Laboratory of Tropical Crop Production Processing, Agricultural Product Processing Research Institute at Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China

  • Chinese Agricultural Ministry Key Laboratory of Tropical Crop Production Processing, Agricultural Product Processing Research Institute at Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China

  • Chinese Agricultural Ministry Key Laboratory of Tropical Crop Production Processing, Agricultural Product Processing Research Institute at Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, China

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  • APA Style

    Jie Gong, Wen Xia, Ji-Hua Li, Xiao-Yi Wei. (2017). Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures. International Journal of High Energy Physics, 4(1), 12-18. https://doi.org/10.11648/j.ijhep.20170401.12

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    ACS Style

    Jie Gong; Wen Xia; Ji-Hua Li; Xiao-Yi Wei. Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures. Int. J. High Energy Phys. 2017, 4(1), 12-18. doi: 10.11648/j.ijhep.20170401.12

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    AMA Style

    Jie Gong, Wen Xia, Ji-Hua Li, Xiao-Yi Wei. Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures. Int J High Energy Phys. 2017;4(1):12-18. doi: 10.11648/j.ijhep.20170401.12

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  • @article{10.11648/j.ijhep.20170401.12,
      author = {Jie Gong and Wen Xia and Ji-Hua Li and Xiao-Yi Wei},
      title = {Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures},
      journal = {International Journal of High Energy Physics},
      volume = {4},
      number = {1},
      pages = {12-18},
      doi = {10.11648/j.ijhep.20170401.12},
      url = {https://doi.org/10.11648/j.ijhep.20170401.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijhep.20170401.12},
      abstract = {The aim of this study is to execute the computational fluid dynamics (CFD) simulation of high speed jet under different input pressures (i.e., 80, 120, 160, 200, and 240 MPa). In particular, this study focuses on the pressure distributions and streamlines of the orifice in high speed jet, primarily because the orifice plays a role in accelerating the flow of liquid, having significant effects on the working performance of high speed jet. Firstly, the two-dimensional geometric model of high speed jet is established on the basis of the actual operational conditions. Next, the unstructured grids of high speed jet are generated by means of ICEM CFD 16.0. Virtually, the computational fluid dynamics simulation of high speed jet is a two-phase flow (gas-liquid) problem, so the homogeneous (Eulerian-Eulerian) two-phase model is employed to carry out the gas-liquid interaction. Particularly, the turbulent flow computation of high speed jet is carried out with procedures based on the Reynolds-averaged Navier-Stokes (RANS) equations. As the flow of high speed jet is highly turbulent, the RNG k-ɛ turbulence model derived by Yakhot et al. (1992) is utilized in this study. Finally, the computational fluid dynamics (CFD) simulation of high speed jet is implemented by using the CFX-Solver in ANSYS CFX 16.0. The simulation results show that when liquid flows through the orifice, the pressure of flows decreases swiftly, whereas the velocity of flows skyrockets to the maximum value and then decreases slightly. In addition, the relationship between the working pressure and input pressure and the relationship between the working velocity and input pressure are achieved, which could provide certain theoretical guidance for predicting the working pressure and velocity of high speed jet based on real input pressures.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Computational Fluid Dynamics Simulation of High Speed Jet Under Different Input Pressures
    AU  - Jie Gong
    AU  - Wen Xia
    AU  - Ji-Hua Li
    AU  - Xiao-Yi Wei
    Y1  - 2017/05/02
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijhep.20170401.12
    DO  - 10.11648/j.ijhep.20170401.12
    T2  - International Journal of High Energy Physics
    JF  - International Journal of High Energy Physics
    JO  - International Journal of High Energy Physics
    SP  - 12
    EP  - 18
    PB  - Science Publishing Group
    SN  - 2376-7448
    UR  - https://doi.org/10.11648/j.ijhep.20170401.12
    AB  - The aim of this study is to execute the computational fluid dynamics (CFD) simulation of high speed jet under different input pressures (i.e., 80, 120, 160, 200, and 240 MPa). In particular, this study focuses on the pressure distributions and streamlines of the orifice in high speed jet, primarily because the orifice plays a role in accelerating the flow of liquid, having significant effects on the working performance of high speed jet. Firstly, the two-dimensional geometric model of high speed jet is established on the basis of the actual operational conditions. Next, the unstructured grids of high speed jet are generated by means of ICEM CFD 16.0. Virtually, the computational fluid dynamics simulation of high speed jet is a two-phase flow (gas-liquid) problem, so the homogeneous (Eulerian-Eulerian) two-phase model is employed to carry out the gas-liquid interaction. Particularly, the turbulent flow computation of high speed jet is carried out with procedures based on the Reynolds-averaged Navier-Stokes (RANS) equations. As the flow of high speed jet is highly turbulent, the RNG k-ɛ turbulence model derived by Yakhot et al. (1992) is utilized in this study. Finally, the computational fluid dynamics (CFD) simulation of high speed jet is implemented by using the CFX-Solver in ANSYS CFX 16.0. The simulation results show that when liquid flows through the orifice, the pressure of flows decreases swiftly, whereas the velocity of flows skyrockets to the maximum value and then decreases slightly. In addition, the relationship between the working pressure and input pressure and the relationship between the working velocity and input pressure are achieved, which could provide certain theoretical guidance for predicting the working pressure and velocity of high speed jet based on real input pressures.
    VL  - 4
    IS  - 1
    ER  - 

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