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Effect of particle spin on the spatio-thermal distribution of incandescent materials released from explosions

  • Eduardo M. B. CampelloEmail author
Technical Paper
  • 28 Downloads

Abstract

This work investigates the influence of particle spin in the overall motion and cooling of incandescent fragments released from explosions and blast-like events. It is an extension of a recent work by Zohdi (Comput Mech 63:701–711, 2018. 10.1007/s00466-018-1617-2), in the sense that particle spin is now incorporated into the problem’s dynamics. We want to assess how this affects the footprint imparted by the particles (with respect to both its size and temperature) on the surface onto which they land after being released. To this aim, we develop a simple computational model based on discrete particle dynamics, with which we are able to compute the trajectories of the fragments and their thermal states over time. Drag forces, Magnus effects, gravitational settling, drag-induced heating, as well as convective and radiative cooling are considered. Numerical simulations are provided to show the extent of the spin effects and illustrate the applicability of the proposed scheme. We believe that simple computational models of the type as shown here may be a useful tool to predict the fragments’ footprint, and thereby help define safety guidelines at places wherein such explosions (or the release of incandescent materials) may occur—such as in industrial facilities, construction sites, military installations, and many other workplaces.

Keywords

Particles Spin Incandescent fragments Magnus effect Cooling Discrete element method (DEM) 

Notes

Acknowledgements

This work was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), Brazil, under the Grant 309748/2015-1.

References

  1. 1.
    Zohdi TI (2018) Modeling the spatio-thermal fire hazard distribution of incandescent material ejecta in manufacturing. Comput Mech 63:701–711.  https://doi.org/10.1007/s00466-018-1617-2 MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Campello EMB (2018) A computational model for the simulation of dry granular materials. Int J Nonlinear Mech 106:89–107CrossRefGoogle Scholar
  3. 3.
    Campello EMB (2015) A description of rotations for DEM models of particle systems. Comput Part Mech 2:109–125CrossRefGoogle Scholar
  4. 4.
    Fernandez-Pello AC (2017) Wildland fire spot ignition by sparks and firebrands. Fire Saf J 91:2–10CrossRefGoogle Scholar
  5. 5.
    Wingerden VK, Hesby I, Eckhoff R (2011) Ignition of dust layers by mechanical sparks. In: Proceedings of 7th global congress on process safety, ChicagoGoogle Scholar
  6. 6.
    Stokes AD (1990) Fire ignition by copper particles of controlled size. J Electr Electron Eng Aust 10:188–194Google Scholar
  7. 7.
    Rowntree GWG, Stokes AD (1994) Fire ignition of aluminum particles of controlled size. J Electr Electron Eng Aust 14:117–123Google Scholar
  8. 8.
    Hadden RM, Scott S, Lautenberger C, Fernandez-Pello AC (2011) Ignition of combustible fuel beds by hot particles: an experimental and theoretical study. Fire Technol 47(2):341–355CrossRefGoogle Scholar
  9. 9.
    Tarifa CS, Notario PPD, Moreno FG (1965) On the flight paths and lifetimes of burning particles of wood. In Proceedings of the combustion institution, 10, pp 1021–1037Google Scholar
  10. 10.
    Sardoy N, Consalvi J-L, Poterie B, Loraud J-C, Fernandez-Pello AC (2007) Modeling transport and combustion of firebrands from burning trees. Combust Flame 150:151–169CrossRefGoogle Scholar
  11. 11.
    Lee S-L, Hellman JM (1970) Firebrand trajectory study using an empirical velocity-dependent burning law. Combust Flame 15(3):265–274CrossRefGoogle Scholar
  12. 12.
    Tse SD, Fernandez-Pello AC (1998) On the flight paths of metal particles and embers generated by powerlines in high winds—a potential source of wildland fires. Fire Saf J 30:333–356CrossRefGoogle Scholar
  13. 13.
    Rallis CJ, Mangaya BM (2002) Ignition of veld grass by hot aluminium particles ejected from clashing overhead transmission lines. Fire Technol 38(1):81–92CrossRefGoogle Scholar
  14. 14.
    Pagni PJ (1993) Causes of the 20 October 1991 Oakland Hills Conflagration. Fire Saf J 21(4):331–339CrossRefGoogle Scholar
  15. 15.
    Bicanic N (2004) Discrete element methods. In: Stein E, Borst RD, Hughes TJ (eds) Encyclopedia of computational mechanics, volume 1: fundamentals, vol 1. Wiley, Chichester, pp 1–33Google Scholar
  16. 16.
    Zhu HP, Zhou ZY, Yang RY, Yu AB (2007) Discrete particle simulation of particulate systems: theoretical developments. Chem Eng Sci 62:3378–3392CrossRefGoogle Scholar
  17. 17.
    Zhu HP, Zhou ZY, Yang RY, Yu AB (2008) Discrete particle simulation of particulate systems: a review of major applications and findings. Chem Eng Sci 63:5728–5770CrossRefGoogle Scholar
  18. 18.
    Sullivan CO (2011) Particle-based discrete element modeling: geomechanics perspective. Int J Geomech 11:449–464CrossRefGoogle Scholar
  19. 19.
    Thornton C, Cummins SJ, Cleary PW (2013) An investigation of the comparative behaviour of alternative contact force models during inelastic collisions. Powder Technol 233:30–46CrossRefGoogle Scholar
  20. 20.
    Zohdi T (2012) Dynamics of charged particulate systems: modeling, theory and computation. Springer, New YorkCrossRefGoogle Scholar
  21. 21.
    Wellmann C, Wriggers P (2012) A two-scale model of granular materials. Comput Methods Appl Mech Eng 205–208:46–58MathSciNetCrossRefGoogle Scholar
  22. 22.
    Zohdi TI, Cabalo J (2017) On the thermomechanics and footprint of fragmenting blasts. Int J Eng Sci 118:28–39CrossRefGoogle Scholar
  23. 23.
    Biringen S, Chow C-Y (2011) An introduction to computational fluid mechanics by example. Wiley, HobokenCrossRefGoogle Scholar
  24. 24.
    Fernandes ACS, Gomes HC, Campello EMB, Pimenta PM (2017) A fluid-particle interaction method for the simulation of particle-laden fluid problems. In: Proceedings of the XXXVIII Iberian Latin–American Congress on computational methods in engineering, FlorianópolisGoogle Scholar
  25. 25.
    Whitaker S (1972) Forced convection heat transfer correlations for flow in pipes, past flat plates, single cylinders, single spheres, and flow in packed beds and tube bundles. AIChE J 18:361371Google Scholar
  26. 26.
    Borg KL, Söderholm LH, Essén H (2003) Force on a spinning sphere moving in a rarefied gas. Phys Fluids 15:736–741CrossRefGoogle Scholar
  27. 27.
    Campello EMB, Cassares KR (2015) Rapid generation of particle packs at high packing ratios for DEM simulations of granular compacts. Latin Am J Solids Struct 13:23–50CrossRefGoogle Scholar
  28. 28.
    Campello EMB, Zohdi T (2014) A computational framework for simulation of the delivery of substances into cells. Int J Numer Methods Biomed Eng 30:1132–1152MathSciNetCrossRefGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Structural and Geotechnical EngineeringUniversity of São PauloSão PauloBrazil

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