Visualization of Thermal Flows in an Automotive Cabin with Volume Rendering Method

  • Kenji Ono
  • Hideki Matsumoto
  • Ryutaro Himeno
Conference paper
Part of the Eurographics book series (EUROGRAPH)


A predictive system of thermal flow with quick turnaround time in a passenger compartment has been developed. An efficient method based on the Cartesian mesh system was used to reduce the period of analysis. The computed temperature in an automotive cabin was visualized by volume rendering techniques using an RVS LIB software library developed by NEC. Consecutive images of the flow were converted into MPEG1 movies, which gave us an overall understanding of the flow. The visualization results indicate that the present system is capable to sufficiently predict the thermal environment in a vehicle cabin at early stage of vehicle development.


Thermal Environment Turnaround Time Mesh Generation Thermal Flow Mesh System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Hara, J., Fujitani, K., and Kuwahara, K.: Computer Simulation of Passenger Compartment Airflow, SAE paper 881749(1988)Google Scholar
  2. 2.
    Lin, C.H., et al.: An Experimental and Computational Study of Cooling in a Simplified GM-10 Pas senger Compartment, SAE paper 910216(1991)Google Scholar
  3. 3.
    Currle, J.: Numerical Simulation of the Flow in a Passenger Compartment and Evaluation of Thermal Comfort of the Occupants, SAE paper 970529(1997)Google Scholar
  4. 4.
    Currle, J., et al.: Evaluation of the HVAC System of Passenger Cars and Prediction of the Microclimate in the Passenger Compartment by Application of Numerical Flow Analysis, SAE paper 971788(1997)Google Scholar
  5. 5.
    Currle, J and Maue, J.: Numerical Study of the Influence of Air Vent Area and Air Mass Flux of the Thermal Comfort of Car Occupants, SAE paper 2000-01-0980(2000)Google Scholar
  6. 6.
    Aronson, D., et al: Comparison Between CFD and PIV Measurements in a Passenger Compartment, SAE paper 2000-01-0977(2000)Google Scholar
  7. 7.
    Ono, K., Fujitani, K., and Fujita, H: Applications of CFD Using Voxel Modeling to Vehicle Development, Proc. of the 3rd ASME/JSME Joint Fluids Engineering Conference, FEDSM99-7323 (1999)Google Scholar
  8. 8.
    Muramatsu, K., Matsumoto, H., Takei T. and Doi, S.: A Real-Time Visualization System for Computational Fluid Dynamics on Parallel Computers, Proc. Parallel CFD’ 98, Elsevier Science(1998)Google Scholar
  9. 9.
    Ono, K., Akabane, K., Shiozawa, H., Fujitani, K.: Prediction of Cooling Flow Rate through the Front Grille Using Flow Analysis with a Multi-Level Mesh System, FISITA World Automotive Congress, F2000H201 (2000)Google Scholar
  10. 10.
    Chorin, A.J.: Numerical Solution of the Navier-Stokes Equations, Math. Comput. Vol. 22 (1968) 745–762MathSciNetMATHGoogle Scholar
  11. 11.
    Takei, T., Matsumoto, H., Muramatsu, K., Doi, S.: Parallel Vector Performance of Concur-rent Visualization System RVSLIB on SX-4, the 3rd pacific symposium on flow visualization and image processing, March 18-21, Maui, Hawaii (2001) 306Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Kenji Ono
    • 1
  • Hideki Matsumoto
    • 2
  • Ryutaro Himeno
    • 3
  1. 1.Vehicle Research LaboratoryNissan Research CenterYokosuka-shiJapan
  2. 2.NEC Informatec SystemsKawasaki-shiJapan
  3. 3.The Institute of Physical and Chemical ResearchWako-shiJapan

Personalised recommendations