Application of computerized numerical modeling in multi-state wet wheel hub heat simulations

  • Sheng Liu
  • Dongye Sun
  • Ensi Wu
  • Yong Luo
  • Datong Qin


This study documents the use of computers and computational fluid dynamics (CFD) software in numerical modeling of a multi-state wet wheel hub for thermal analysis. First, ANSYS software is used to construct 3D models of a wet wheel hub with internal cooling/lubricating oil and the surrounding air. These are processed with GAMBIT meshing. Subsequently, bond graph theory is used to create heat source system models. Working conditions and heat system boundary conditions for theoretical analysis are established using test data from an actual vehicle. This is followed by using FLUENT software to perform multi-core and parallel heat calculations of coupled heat flow fields under normal and high intensity working conditions. Finally, MATLAB and Control Desk universal modular experiment and instrumentation software are used to verify the results of the simulation on an actual vehicle. The results indicate good agreement between the results of the numerical model simulation and the measurements from the test vehicle. The relative error is less than 5%. This verifies the accuracy and appropriateness of the analysis methods. The study demonstrates the capability of computers and software to aid in the optimizing the design performance of complex mechanical systems.


Computerized numerical simulations Wet wheel hub modeling Heat source modeling CFD software Thermal simulations 



Funding was provided by [National Natural Science Foundation of China (51375505)], [Chongqing foundation and frontier research project (cstc2013jcyjA60004)].


  1. 1.
    Zagrodzki, P.: Thermoelastic instability in friction clutches and brakes—transient modal analysis revealing mechanisms of excitation of unstable modes. Int. J. Solids Struct. 46(11–12), 2463–2476 (2009)CrossRefzbMATHGoogle Scholar
  2. 2.
    Winter, H., Michaelis, K.: Untersuchungen zum Wärmehaushalt von Getrieben. Anriebstechnik 20(3), 70–74 (1981)Google Scholar
  3. 3.
    ISO/TR 14179-2-2001. Gears—thermal capacity—Part 2: thermal load carrying capacityGoogle Scholar
  4. 4.
    Seetharaman, S.: An investigation of load-independent power losses of gear systems. The Ohio State University, Ohio State (2009)Google Scholar
  5. 5.
    Zagrodzki, P.: Analysis of thermomechanical phenomena in multidisc clutches and brakes. Wear 140(2), 291–308 (1990)CrossRefGoogle Scholar
  6. 6.
    Dongye, S.: Research on failure mechanism and design method of wet multiple disc brakes. College of Mechanical Science and Engineering, Jilin University of Technology, Changchun (1996)Google Scholar
  7. 7.
    Changenet, C., Oviedo-marlot, X., Velex, P.: Power loss predictions in geared transmissions using thermal networks—applications to a six-speed manual gearbox. J. Mech. Des. Trans. ASME 128(3), 618–625 (2006)CrossRefGoogle Scholar
  8. 8.
    Biao, L., Wei, L.: Influence factors on bulk temperature field of gear. J. Eng. Tribol. 231(8), 953–964 (2017)Google Scholar
  9. 9.
    Chen, L.: Heat balance analysis and temperature-rise control of planetary gear train of the earth pressure balance shield machine. College of Mechanical Engineering, Chongqing University, Chongqing (2011)Google Scholar
  10. 10.
    Talbot, D.C., Kahraman, A., Singh, A.: An experimental investigation of the efficiency of planetary gear sets. J. Mech. Des. Trans. ASME 134(2), 021003-1-7 (2012)Google Scholar
  11. 11.
    Johannes, W., Matthias, F., Michael, G., Esa, V., Christoph, H.: Advanced heat transfer analysis of continuously variable transmissions (CVT). Appl. Therm. Eng. 114, 545–553 (2017)CrossRefGoogle Scholar
  12. 12.
    Zejin, L., Jiehong, Y., Yuan, L.: A temperature field model of complicated thermal analysis system based on thermal network method. Manufacturing process and equipment, pp. 695–698. Trans Tech Publications Ltd, Zurich (2013)Google Scholar
  13. 13.
    Christophe, C., Fabrice, V., Philippe, V.: Thermal behaviour of a high-speed gear unit. Gear Technol. 33(1), 38–41 (2016)Google Scholar
  14. 14.
    Yevtushenko, A., Grzes, P.: Maximum temperature in a three-disc thermally nonlinear braking system. Int. Commun. Heat Mass Transfer 68, 291–298 (2015)CrossRefGoogle Scholar
  15. 15.
    Hong, X., Dewei, T., Zongquan, D., Chuanyang, L., Fanrui, K., Shengyuan, J.: Thermal analysis and experimental verification of the transmission in a lunar drilling system. Appl. Therm. Eng. 113, 765–773 (2017)CrossRefGoogle Scholar
  16. 16.
    Tarawneh, C.M., Fuentes, A.A., Kypuros, J.A., Navarro, L.A., Vaipan, A.G., Wilson, B.M.: Thermal modeling of a railroad tapered-roller bearing using finite element analysis. J. Therm. Sci. Eng. Appl. 4(3), 031002-1-11 (2012)Google Scholar
  17. 17.
    Xuelian, W., Sicheng, Q., Keli, Z., Jianpeng, W.: Operating heat characteristic analysis of wet drive axle on huge wheel loader. China J. Highway Transp. 22(2), 122–126 (2009)Google Scholar
  18. 18.
    Luke, P., Olver, A.V.: A study of churning losses in dip-lubricated spur gears. In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. Professional Engineering Publishing Ltd., pp. 337–346 (1999)Google Scholar
  19. 19.
    Aphale, C.R., Cho, J., Schultz, W.W., Ceccio, S.L., Yoshioka, T., Hiraki, H.: Modeling and parametric study of torque in open clutch plates. J. Tribol. 128(2), 422–430 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Sheng Liu
    • 1
  • Dongye Sun
    • 1
  • Ensi Wu
    • 2
  • Yong Luo
    • 3
  • Datong Qin
    • 1
  1. 1.State Key Laboratory of Mechanical TransmissionChongqing UniversityChongqingChina
  2. 2.Chongqing Normal UniversityChongqingChina
  3. 3.Chongqing University of TechnologyChongqingChina

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