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Modeling and Simulation of a Shock Driving Gas Jet Laden with Dense Extinguishant Particles Through a Tube with a Tail Nozzle

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Abstract

In this study, we proposed a new concept of shock wave driving fire extinguishing system (SWDES), which works using a pulsed shock-induced gas-particle jet. We conducted modeling and simulations of shock-induced gas-particle jets through a rectangular tube with a tail nozzle based on a dense discrete phase model. A corrected drag model was developed to take into account gas compressibility and particle volume fraction effects. The aerodynamic and collision forces imposed on particles were determined by a point particle force model and an improved spring-dashpot model, respectively. Based on the validation of numerical method against a previous experiment, a parametric study was performed to explore the effects of type of tail nozzle, incident shock Mach number Ms, initial particle volume fraction φp, and particle size dp on the dimensionless streamwise average velocity vpx,a/us, velocity inhomogeneity ξvp and dispersity of particles ψp. We revealed that the evolution process of the gas-particle jet consists of the first transmitted shock-induced stage and the second pressure-induced stage of gas jet, and identified penetration, spreading and breakup types of pulsed gas-particle jets suited for fire suppression of correspondingly three types of flames.

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Abbreviations

c :

Local sound speed

C 1 :

Turbulence model parameter

C :

Turbulence model constant

C 2 :

Turbulence model constant

c 2 :

Post-incident shock sound speed

C 3 ε :

Turbulence model constant

C D :

Drag coefficient

C DC :

Clift drag coefficient

C DP :

Parmar drag coefficient

CFL :

Courant number

C M :

Pressure-gradient force coefficient

C p :

Particle specific heat

c pg :

Gas specific heat at constant pressure

d p :

Particle diameter

D p :

Effective diameter of a particle parcel

e g * :

Specific total energy

\(e_{i}^{mn}\) :

Pre-collisional unit relative velocity component between the mth and nth particle parcels

e ij :

Identity matrix component

F am,i :

Added-mass force component

F f p ,i :

Overall aerodynamic force component

F pg,i :

Pressure-gradient force component

\(F_{pp,i}^{n}\) :

Overall collisional force component imposed on the nth particle

\(F_{pp,i}^{mn}\) :

Collisional force component on the mth particle parcel by the nth particle parcel

F qs,i :

Quasi-steady force component

f v :

Correction factor of particle volume fraction

G b :

Turbulent kinetic energies related to the average buoyancy

\(G_{fp}^{n}\) :

Rate of work on the nth particle parcel caused by the aerodynamic force

G k :

Turbulent kinetic energies related to the average velocity gradient

I :

Total number of particles

k :

Turbulent kinetic energy

K :

Spring constant

k ef f :

Effective thermal conductivity

L :

Total number of all the lth particle parcels in contact with the nth particle parcel

L a :

Length of acceleration section

L e :

Side length of nozzle exit

L f :

Distance from the channel inlet to the upstream side of particle curtain

L j :

Length of tail nozzle

L l :

Length of outside flow field

L p :

Initial width of particle curtain

L s :

Side length of rectangular channel

L t :

Wall thickness

L w :

Width of outside flow field

m p :

Mass of a single particle

M p :

Particle Mach number

M s :

Shock Mach number

n :

Number of particle parcels within the current cell

N :

Total number of particle parcels

N p :

Number of real particles represented by one particle parcel

Nu:

Nusselt number

p 1 :

Initial pressure downstream the incident shock wave

Pr:

Prandtl number

\(Q_{fp}^{n}\) :

Rate of heat transfer to the nth particle parcel from the gas

Q gp :

Gas convective heat transfer to a particle

Rep :

Particle Reynolds number

S ij :

Mean strain rate component

t :

Time

T 1 :

Initial temperature downstream the incident shock wave

T g :

Gas temperature

T p :

Particle temperature

v 2 :

Post-incident shock gas velocity

v g,i :

Gas velocity component

\(v_{i}^{mn}\) :

Pre-collisional relative velocity component between the mth and nth particle parcels

V p :

Volume of a single particle

v p ,i :

Particle velocity component

\(v_{px}^{n}\) :

Streamwise velocity of the nth particle

v px,a :

Streamwise average velocity

xp,i :

i-Direction position coordinate of the particle

Y M :

Contribution of pulsating expansion to the total dissipation rate

\(y_{p}^{n}\) :

y Coordinate of the nth particle

y + :

Dimensionless wall distance

\(z_{p}^{n}\) :

z Coordinate of the nth particle

v g :

Gas velocity vector

v mn :

Relative velocity vector between the mth and nth particle parcels

v p :

Particle velocity vector

γ :

Ratio of gas specific heats

δ :

Overlap of the collision pair of particle parcels

Δl min :

Minimum grid size

ε :

Rate of turbulent dissipation

η :

Coefficient of restitution

λ :

Damping coefficient

μ :

Gas dynamic viscosity

μ t :

Turbulent viscosity

ν g :

Gas kinematic viscosity

ξ :

Turbulence model parameter

ξ D :

Denotes the allowable overlap fraction of diameter

ξ vp :

Velocity inhomogeneity

ρ g :

Gas density

ρ p :

Particle density

σ ε :

Turbulence model constant

σ k :

Turbulence model constant

\(\tau_{eff,ij}\) :

Effective stress tensor component

τ g :

Time step of gas phase

\(\tau_{m,ij}\) :

Molecular stress tensor

\(\tau_{t,,ij}\) :

Reynolds stress tensor

φ g :

Gas volume fraction

φ p :

Particle volume fraction

ψ p :

Dispersity of particles

CAFES:

Condensed aerosol-based fire extinguishing system

DDPM:

Dense discrete phase model

DEM:

Distinct elemental method

DFP:

Downstream front of the particle curtain

EW:

Expansion wave

OS:

Oblique shock

SWDES:

Shock wave driving fire extinguishing system

TS:

Transmitted shock

UFP:

Upstream front of the particle curtain

References

  1. Shi H, Wang X, Xiang Q, Zhang G, Xue L (2022) Experimental and numerical study of the discharge performance of particle-laden turbulent flow. J Mar Sci Eng 10:85. https://doi.org/10.3390/jmse10010085

    Article  Google Scholar 

  2. Ibrahim H, Patruni JR (2020) Experimental assessment on LPG fire extinguishing properties of three chemical powders before and after milling action. Fire Mater 44(5):747–756. https://doi.org/10.1002/fam.2853

    Article  Google Scholar 

  3. Liu H, Zong R, Gao J, Lo S, Yuan H (2014) A good dry powder to suppress high building fires. APCBEE Procedia 9:291–295. https://doi.org/10.1016/j.apcbee.2014.01.052

    Article  Google Scholar 

  4. Kuang K, Huang X, Liao G (2008) A comparison between superfine magnesium hydroxide powders and commercial dry powders on fire suppression effectiveness. Process Saf Environ Protect 86(B3):182–188. https://doi.org/10.1016/j.psep.2007.11.002

    Article  Google Scholar 

  5. Lau T, Nathan GJ (2016) The effect of Stokes number on particle velocity and concentration distributions in a well-characterised, turbulent, co-flowing two-phase jet. J Fluid Mech 809:72–110. https://doi.org/10.1017/jfm.2016.666

    Article  MathSciNet  MATH  Google Scholar 

  6. Wang X, Zheng X, Wang P (2017) Direct numerical simulation of particle-laden plane turbulent wall jet and the influence of Stokes number. Int J Multiph Flow 92:82–92. https://doi.org/10.1016/j.ijmultiphaseflow.2017.03.003

    Article  MathSciNet  Google Scholar 

  7. Jebakumar AS, Abraham J (2016) Comparison of the structure of computed and measured particle-laden jets for a wide range of Stokes numbers. Int J Heat Mass Transf 97:779–786. https://doi.org/10.1016/j.ijheatmasstransfer.2016.02.074

    Article  Google Scholar 

  8. Tavangar T, Tofighian H, Tarokh A (2020) Investigation of the horizontal motion of particle-laden jets. Computation 8(2):23. https://doi.org/10.3390/computation8020023

    Article  Google Scholar 

  9. Chellappan S, Ramaiyan G (1986) Experimental study design parameters of a gas–solid injector feeder. Powder Technol 48(2):141–144. https://doi.org/10.1016/0032-5910(86)80072-9

    Article  Google Scholar 

  10. AbdEl-hamid AA, Mahmoud NH, Flamed MH, Hussien AA (2018) Gas–solid flow through the mixing duct and tail section of ejectors: experimental studies. Powder Technol 328:148–155. https://doi.org/10.1016/j.powtec.2018.01.011

    Article  Google Scholar 

  11. Zhu Y, Cai W, Wen C, Li Y (2009) Numerical investigation of geometry parameters for design of high performance ejectors. Appl Therm Eng 29(5–6):898–905. https://doi.org/10.1016/j.applthermaleng.2008.04.025

    Article  Google Scholar 

  12. Xu J, Liu X, Pang M (2016) Numerical and experimental studies on transport properties of powder ejector based on double venturi effect. Vacuum 134:92–98. https://doi.org/10.1016/j.vacuum.2016.10.007

    Article  Google Scholar 

  13. Kim MI, Kim OS, Lee DH, Kim SD (2007) Numerical and experimental investigations of gas–liquid dispersion in an ejector. Chem Eng Sci 62(24):7133–7139. https://doi.org/10.1016/j.ces.2007.08.020

    Article  Google Scholar 

  14. Szabó S (2001) Influence of the material quality of primary gas jets on the final vacuum created by a supersonic gas ejector. J Comput Appl Mech 2(1):131–144

    MATH  Google Scholar 

  15. Zhang X, Chin RC (2020) A numerical study of the effects of the velocity ratio on coflow jet characteristics. J Fluids Eng 142(8):081401. https://doi.org/10.1115/1.4046769

    Article  Google Scholar 

  16. Rohilla M, Saxena A, Tyagi YK, Singh I, Tanwar RK, Narang R (2022) Condensed aerosol based fire extinguishing system covering versatile applications: a review. Fire Technol 58(1):327–351. https://doi.org/10.1007/s10694-021-01148-4

    Article  Google Scholar 

  17. Kwon K, Kim Y (2013) Extinction effectiveness of pyrogenic condensed-aerosols extinguishing system. Korean J Chem Eng 30(12):2254–2258. https://doi.org/10.1007/s11814-013-0203-8

    Article  Google Scholar 

  18. Zhang X, Ismail MHS, Ahmadun FR, Abdullah NH, Hee C (2015) Hot aerosol fire extinguishing agents and the associated technologies: a review. Braz J Chem Eng 32(3):707–724. https://doi.org/10.1590/0104-6632.20150323s00003510

    Article  Google Scholar 

  19. Cundall PA, Strack ODL (1979) A discrete numerical model for granular assemblies. Geotechnique 29(1):47–65. https://doi.org/10.1680/geot.1980.30.3.331

    Article  Google Scholar 

  20. Stewart C, Balachandar S, McGrath TP (2018) Soft-sphere simulations of a planar shock interaction with a granular bed. Phys Rev Fluids 3(3):034308. https://doi.org/10.1103/PhysRevFluids.3.034308

    Article  Google Scholar 

  21. Ling Y, Wagner JL, Beresh SJ, Kearney SP, Balachandar S (2012) Interaction of a planar shock wave with a dense particle curtain: modeling and experiments. Phys Fluids 24(11):11330. https://doi.org/10.1063/1.4768815

    Article  Google Scholar 

  22. Zhang L, Feng Z, Sun M, Guan H, Jin H, Shi H (2023) Modeling of long-term shock interaction with a movable particle curtain in a rectangular tube based on a dense discrete phase model. Powder Technol 415:118116. https://doi.org/10.1016/j.powtec.2022.118116

    Article  Google Scholar 

  23. Parmar M, Haselbacher A, Balachandar S (2011) Generalized Basset-Boussinesq-Oseen equation for unsteady forces on a sphere in a compressible flow. Phys Rev Lett 106(8):084501. https://doi.org/10.1103/PhysRevLett.106.084501

    Article  Google Scholar 

  24. Parmar M, Haselbacher A, Balachandar S (2012) Improved drag correlation for spheres and application to shock tube experiments. AIAA J 48(6):1273–1277. https://doi.org/10.2514/1.J050161

    Article  Google Scholar 

  25. Ling Y, Haselbacher A, Balachandar S (2011) Importance of unsteady contributions to force and heating for particles in compressible flows. Part 1: modeling and analysis for shock-particle interaction. Int J Multiph Flow 37(9):1026–1044. https://doi.org/10.1016/j.ijmultiphaseflow.2011.07.001

    Article  Google Scholar 

  26. Ling Y, Haselbacher A, Balachandar S (2011) Importance of unsteady contributions to force and heating for particles in compressible flows. Part 2: application to particle dispersal by blast wave. Int J Multiph Flow 37(9):1013–1025. https://doi.org/10.1016/j.ijmultiphaseflow.2011.07.002

    Article  Google Scholar 

  27. Clift R, Grace JR, Weber ME (1978) Bubbles, drops and particles. Academic Press, New York

    Google Scholar 

  28. Ranz WE, Marshall WR (1952) Evaporation from drops—part 1. Chem Eng Prog 48:141–146

    Google Scholar 

  29. Xiao Y, Tang H, Liang D, Zhang J (2011) Numerical study of hydrodynamics of multiple tandem jets in cross flow. J Hydrodyn 23(6):806–813. https://doi.org/10.1016/S1001-6058(10)60179-5

    Article  Google Scholar 

  30. Zhang L, Feng Z, Sun M, Jin H, Shi H (2021) Numerical study of air flow induced by shock impact on an array of perforated plates. Entropy 23(8):1051. https://doi.org/10.3390/e23081051

    Article  Google Scholar 

  31. White FM (2006) Viscous fluid flow, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  32. Denner F (2018) Fully-coupled pressure-based algorithm for compressible flows: linearisation and iterative solution strategies. Comput Fluids 175:53–65. https://doi.org/10.1016/j.compfluid.2018.07.005

    Article  MathSciNet  MATH  Google Scholar 

  33. Leonard BP, Mokhtari S (1990) ULTRA-SHARP nonoscillatory convection schemes for high-speed steady multidimensional flow. NASATM1-2568 (ICOMP-90-12). NASA Lewis Research Center, Cleveland

    Google Scholar 

  34. Van Leer C (1979) Toward the ultimate conservative difference scheme. IV. A second order sequel to Godunov’s method. J Comput Phys 32(1):101–136. https://doi.org/10.1016/0021-9991(79)90145-1

    Article  MATH  Google Scholar 

  35. Chen W, Zhang L, Huang B, Shi H, Zhang P (2015) Experimental investigation of acceleration performance of dense-solid-phase micron particles driven by shock waves. J Vib Shock 34(7):134–140. https://doi.org/10.13465/j.cnki.jvs.2015.07.022. (in Chinese)

    Article  Google Scholar 

  36. Lv H, Wang Z, Zhang Y, Li J (2021) Initial moving mechanism of densely-packed particles driven by a planar shock wave. Shock Vib 2021:8867615. https://doi.org/10.1155/2021/8867615

    Article  Google Scholar 

  37. Zakhmatov VD, Tsikanovskii VL, Kozhemyakin AS (1998) Throwing of fire-extinguishing powder jets from barrels. Combust Explos 34(1):97–100. https://doi.org/10.1007/BF02671826

    Article  Google Scholar 

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Acknowledgements

The authors are grateful to the precious suggestions from Prof. Honghui Shi, Dr. Ruoling Dong and Huixia Jia, and the help on figure production from Ms. Sifan Wu, Mr. Jing Wang and Yang Feng.

Funding

This work was supported by the Natural Science Foundation of Zhejiang Province [Grant Number LY17E060006], from the Fundamental Research Funds of Zhejiang Sci-Tech University [Grant Number 2019Q030], and the National Natural Science Foundation of China [Grant Numbers 51876194, 52176048, U1909216].

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Zhang, L., Guan, H., Feng, Z. et al. Modeling and Simulation of a Shock Driving Gas Jet Laden with Dense Extinguishant Particles Through a Tube with a Tail Nozzle. Fire Technol 59, 3629–3666 (2023). https://doi.org/10.1007/s10694-023-01481-w

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