Advertisement

Journal of Mechanical Science and Technology

, Volume 33, Issue 11, pp 5303–5309 | Cite as

An agglomeration model: Influence of proximity of particles on agglomeration

  • Hyoungjoon Kwon
  • Jisang Yoon
  • Soonho SongEmail author
  • Seungwon Ko
Article
  • 20 Downloads

Abstract

Aluminum is added to solid propellant to increase specific impulse of solid propellant, but tends to stick together and so agglomerate into large particle. Such an agglomeration has a detrimental effect on the propellant performance due to incomplete combustion. There are so many factors that cause agglomeration. In this study, we assume the distance between aluminum particles as one of the most important factors affecting agglomeration. Microstructure was reflected through 3D random packing and X-ray micro-CT scanning. And agglomeration model was developed to predict the sizes of agglomerates. As a result of applying the model to the random packing and Xray micro-CT data, the volume distributions of agglomerates was similar in most of the ranges.

Keywords

Agglomeration Solid propellant Metal fuel 3D random packing X-ray micro-CT 

Nomenclature

xi

x coordinate of sphere center

yi

y coordinate of sphere center

zi

z coordinate of sphere center

ri

Radius of sphere

d

Diameter of sphere

N

Total number of spheres

Di,j

Distance between spheres

Dset

Minimum agglomeration distance

MMD

Mean mass diameter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

This work was supported by the Agency for Defense and Development, “A Study on Aluminum Agglomeration Model during Solid Propellant Combustion”, (Contract No. UD160064BD), Republic of Korea.

References

  1. [1]
    E. W. Price, R. Sigman, J. Sambamurthi and C. Park, Behavior of Aluminum in Solid Propellant Combustion, Georgia Inst. of Tech Atlanta School of Aerospace Engineering (1982).Google Scholar
  2. [2]
    S. Gallier and F. Hiernard, Microstructure of composite propellants using simulated packings and X-ray tomography, Journal of Propulsion and Power, 24(1) (2008) 154–157.CrossRefGoogle Scholar
  3. [3]
    J. Crump, Aluminum combustion in composite propellants, interagency chemical rocket propulsion group, Combustion Instability Conference, CPIA Publication (1966).Google Scholar
  4. [4]
    M. W. Beckstead, R. Derr and C. Price, A model of composite solid-propellant combustion based on multiple flames, AIAA Journal, 8(12) (1970) 2200–2207.CrossRefGoogle Scholar
  5. [5]
    P. L. Micheli and W. G. Schmidt, Behavior of Aluminum in Solid Rocket Motors, Aerojet Solid Propulsion Co. (1977).Google Scholar
  6. [6]
    N. S. Cohen, A pocket model for aluminum agglomeration in composite propellants, AIAA Journal, 21(5) (1983) 720–725.CrossRefGoogle Scholar
  7. [7]
    T. Jackson, F. Najjar and J. Buckmaster, New aluminum agglomeration models and their use in solid-propellant-rocket simularions, Journal of Propulsion and Power, 21(5) (2005) 925–936.CrossRefGoogle Scholar
  8. [8]
    J. Duterque, Experimental studies of aluminum agglomeration in solid rocket motors, International Journal of Energetic Materials and Chemical Propulsion, 4(1–6) (1997).Google Scholar
  9. [9]
    Y. Fabignon, J.-F. Trubert, D. Lambert, O. Orlandi and J. Dupays, Combustion of aluminum particles in solid rocket motors, 39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit (2003) 4807.Google Scholar
  10. [10]
    J. K. Sambamurthi, E. W. Price and R. K. Sigmant, Aluminum agglomeration in solid-propellant combustion, AIAA Journal, 22(8) (1984) 1132–1138.CrossRefGoogle Scholar
  11. [11]
    S. Gallier, A stochastic pocket model for aluminum agglomeration in solid propellants, propellants, explosives, pyrotechnics, An International Journal Dealing with Scientific and Technological Aspects of Energetic Materials, 34(2) (2009) 97–105.Google Scholar
  12. [12]
    V. Babuk, V. Belov, V. Khodosov and G. Shelukhin, Study of the structure of agglomerates with combustion of aluminized mixed condensed systems, Combustion, Explosion, and Shock Waves, 24(5) (1988) 552–557.CrossRefGoogle Scholar
  13. [13]
    V. A. Babuk, V. A. Vassiliev and V. V. Sviridov, Formation of condensed combustion products at the burning surface of solid rocket propellant, V. Yang, T. B. Brill and W. Z. Ren (eds.), Progress in Astronautics and Aeronautics: Solid Propellant Chemistry, Combustion, and Motor Interior Ballistics, 185 (2000) 749–776.Google Scholar
  14. [14]
    V. Babuk, V. Vassiliev and V. Sviridov, Propellant formulation factors and metal agglomeration in combustion of aluminized solid rocket propellant, Combustion Science and Technology, 163(1) (2001) 261–289.CrossRefGoogle Scholar
  15. [15]
    V. Babuk, A. Ivonenko and A. Nnizyaev, Calculation of the characteristics of agglomerates during combustion of highenergy composite solid propellants, Combustion, Explosion, and Shock Waves, 51(5) (2015) 549–559.CrossRefGoogle Scholar
  16. [16]
    V. Gradun, Y. V. Frolov, L. Y. Kashporov and G. Ostretsov, A model for detachment of a condensed particle from a combustion surface, Combustion, Explosion, and Shock Waves, 12(2) (1976) 167–172.CrossRefGoogle Scholar
  17. [17]
    V. Gladun, Y. V. Frolov and L. Y. Kashporov, Coalescence of powdered aluminum particles on combustion surface of metallized compositions, Combustion, Explosion, and Shock Waves, 13(5) (1977) 596–600.CrossRefGoogle Scholar
  18. [18]
    A. Gany, L. H. Caveny and M. Summerfield, Aluminized solid propellants burning in a rocket motor flowfield, AIAA Journal, 16(7) (1978) 736–739.CrossRefGoogle Scholar
  19. [19]
    S. Rashkovsky, Metal agglomeration in solid propellants combustion, Combustion Science and Technology, 136(1–6) (1998) 125–148.CrossRefGoogle Scholar
  20. [20]
    V. Srinivas and S. R. Chakravarthy, Computer model of aluminum agglomeration on burning surface of composite solid propellant, Journal of Propulsion and Power, 23(4) (2007) 728–736.CrossRefGoogle Scholar
  21. [21]
    S. Torquato and H. Haslach, Random Heterogeneous Materials: Microstructure and Macroscopic Properties, American Society of Mechanical Engineers Digital Collection (2002).CrossRefGoogle Scholar
  22. [22]
    M. Webb and I. L. Davis, Random particle packing with large particle size variations using reduced-dimension algorithms, Powder Technology, 167(1) (2006) 10–19.CrossRefGoogle Scholar
  23. [23]
    W. Jodrey and E. Tory, Computer simulation of close random packing of equal spheres, Physical Review A, 32(4) (1985) 2347.CrossRefGoogle Scholar

Copyright information

© KSME & Springer 2019

Authors and Affiliations

  • Hyoungjoon Kwon
    • 1
  • Jisang Yoon
    • 1
  • Soonho Song
    • 1
    Email author
  • Seungwon Ko
    • 2
  1. 1.Department of Mechanical EngineeringYonsei UniversitySeoulKorea
  2. 2.Agency for Defense DevelopmentYuseong-gu, DaejeonKorea

Personalised recommendations