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A Coupled Simulation Approach to Race Track Brake Cooling for a GT3 Race Car

  • Will Hunt
  • Adam Price
  • Sacha Jelic
  • Vianney Staelens
  • Muhammad Saif Ul-Hasnain
Conference paper

Abstract

During race track operating conditions, the vehicle is constantly accelerating and braking from high to very low velocities. This generates a lot of heat that needs to be absorbed by the brakes. Sufficient cooling is required to prevent the brakes from overheating. When brakes exceed their critical temperature, they can lose grip and start fading. Brakes can lose quite some heat through radiation and conduction to their surroundings, but most of the heat can be released through cooling airflow convection. Improving the cooling airflow to the brake discs can significantly lower the brake disc temperature during the race track duty cycle. An efficient design for convective cooling will avoid large drag penalties or significant brake disc weight increase. With simulation, the brake disc and brake system design can be optimized more efficiently, to allow more cooling airflow, by visualizing the flow and it can be used in early design stages. The 3D CFD simulation method is coupled to a radiation/conduction tool to include radiation, conduction and convection effects. It can predict the brake system temperature over time during the race track duty cycle. The results have been compared against experimental data and several design variants have been tested to improve the design.

References

  1. 1.
    Schütz, T., Wiedemann, J., Wickern, G., Mukutmoni, D., Wang, Z., Alajbegovic, A.: A coupled approach to brake cooling simulation. In: Mira Conference (2008)Google Scholar
  2. 2.
    Mukutmoni, D., Jelić, S., Han, J., Haffey, M.: Role of accurate numerical simulation of brake cooldown in brake design process. In: SAE 2012 Brake Colloquium & Exhibition, SAE 2012-01-1811, San Diego, US (2012)CrossRefGoogle Scholar
  3. 3.
    Jelić, S., Meyland, S., Jansen, W., Alajbegovic, A.: A coupled approach to brake duty cycle simulation. In: 8th MIRA International Vehicle Aerodynamics Conference, Oxfordshire, UK (2010)Google Scholar
  4. 4.
    Meachair, D., Elliot, G., Jelić, S., Fechner, B., Bhambare, K.: Brake duty cycle simulation for thermal design of vehicle braking system. In: Eurobrake 2013, EB2013-MS-003, UK (2013)Google Scholar
  5. 5.
    Sun, S., Liao, G., Fu, Q., Lu, K., Zhao, J., Li, Z., Chen, J., Shi, G., Jelić, S., Li, B.: A coupled approach to truck drum brake cooling. SAE Technical Paper 2015-01-2901, Chicago, US (2015). https://doi.org/10.4271/2015-01-2901
  6. 6.
    Jelić, S., Fares, E., Alajbegovic, A.: Lattice-Boltzmann flow simulation of the modified sae model with heated plug including conduction and radiation effects. In: Vehicle Thermal Management Systems 8, Nottingham, UK, 2007Google Scholar
  7. 7.
    Mukutmoni, D., Han, J., Alajbegovic, A., Colibert, L., Helene, M.: Numerical simulation of transient thermal convection of heated plate. In: SAE World Congress, SAE 2010-01-0550, Detroit (2010)Google Scholar
  8. 8.
    Mukutmoni, D., Alajbegovic, A., Han, J.: Numerical simulation of transient thermal convection of a full vehicle. In: SAE World Congress, SAE 2011-01-0645, Detroit, USA (2011)Google Scholar
  9. 9.
    Frisch, U., Hasslacher, B., Pomeau, Y.: Lattice-gas automata for the navier-stokes equations. Phys. Rev. Lett. 56, 1505–1508 (1986)CrossRefGoogle Scholar
  10. 10.
    Chen, H., Chen, S., Matthaeus, W.: Recovery of the Navier-Stokes equations using a lattice-gas Boltzmann method. Phys. Rev. A 45, 5339–5342 (1992)CrossRefGoogle Scholar
  11. 11.
    Chen, H., Teixeira, C., Molvig, K.: Digital physics approach to computational fluid dynamics: some basic theoretical features. Int. J. Mod. Phys. C 9(8), 675 (1997)CrossRefGoogle Scholar
  12. 12.
    Chen, H., Teixeira, C., Molvig, K.: Realization of fluid boundary conditions via discrete Boltzmann dynamics. Int. J. Mod. Phys. C 9(8), 1281–1292 (1998)CrossRefGoogle Scholar
  13. 13.
    Thantanapally, C., Singh, S., Succi, S., Ansumali, S.: Quasi-equilibrium lattice Boltzmann models with tunable Prandtl number for incompressible hydrodynamics. Int. J. Mod. Phys. C 24(12), 1340004 (2013)CrossRefGoogle Scholar
  14. 14.
    Chen, H.: Volumetric formulation of the lattice boltzmann method for fluid dynamics: basic concept. Phys. Rev. E 58, 3955–3963 (1998)CrossRefGoogle Scholar
  15. 15.
    Shan, X., Chen, H.: A general multiple-relaxation-time Boltzmann collision model. Int. J. Mod. Phys. C 18, 635 (2007)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Chen, H., Goldhirsh, I., Orszag, S.: Discrete rotational symmetry, moment isotropy, and higher order lattice Boltzmann models. J. Sci. Comput. 34, 87–112 (2007)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Bhatnagar, P., Gross, E., Krook, M.: A model for collision processes in gases. I. small amplitude processes in charged and neutral one-component system. Pys. Rev. 94, 511–525 (1954)zbMATHGoogle Scholar
  18. 18.
    Chapman, S., Cowling, T.: The Mathematical Theory of Non-uniform Gases. Cambridge University Press, Cambridge (1990)zbMATHGoogle Scholar
  19. 19.
    Chen, H., Kandasamy, S., Orszag, S., Shock, R., Succi, S., Yakhot, V.: Extended Boltzmann kinetic equation for turbulent flows. Science 301, 633–636 (2003)CrossRefGoogle Scholar
  20. 20.
    Shan, X., Chen, H.: Lattice Boltzmann model for simulating flows with multiple phases and components. Phys. Rev. E 47, 1815–1819 (1993)CrossRefGoogle Scholar
  21. 21.
    Li, Y., Shock, R., Zhang, R., Chen, H.: Numerical study of flow past an impulsively started cylinder by lattice boltzmann method. J. Fluid Mech. 519, 273–300 (2004)CrossRefGoogle Scholar
  22. 22.
    Chen, H., Orszag, S., Staroselsky, I., Succi, S.: Expanded analogy between Boltzmann kinetic theory of fluid and turbulence. J. Fluid Mech. 519, 307–314 (2004)MathSciNetCrossRefGoogle Scholar
  23. 23.
    Zhang, R., et al.: Lattice Boltzmann approach for local reference frames. DSFD-17 Special Edition, Communications in Computational Physics (2011)CrossRefGoogle Scholar
  24. 24.
    Guo, Z., Zhen, C., Shi, B.: Discrete lattice effects on the forcing term in the lattice Boltzmann method. Phys. Rev. E 65, 046308 (2002)CrossRefGoogle Scholar
  25. 25.
    PowerTHERM technical documentation. Version 7.1. Thermoanalytics, Calumet, USGoogle Scholar
  26. 26.
    Strauss, W.: Partial Differential Equations, An Introduction. Wiley, Hoboken (2008)zbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Will Hunt
    • 1
  • Adam Price
    • 1
  • Sacha Jelic
    • 2
  • Vianney Staelens
    • 3
  • Muhammad Saif Ul-Hasnain
    • 2
  1. 1.Bentley Motors LimitedCreweUK
  2. 2.Exa GmbHMunichGermany
  3. 3.Exa UK LimitedLondonUK

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