Browse Publications Technical Papers 2019-32-0567

Prediction of Air Temperature Distribution around Rider on Idling Motorcycle by CFD Using DES Model 2019-32-0567

In this study, we investigated how to calculate and predict the air temperature distribution around the rider of a stationary motorcycle with the engine at idle. To analyze the air temperature distribution of an idling motorcycle, we needed to accurately predict the mixing of the forced convection air from the radiator fan and the natural convection air caused by the air temperature difference. For the calculation, we used two types of turbulent flow models: realizable k-ε (RKE) and detached eddy simulation (DES). First, in view of the mixing of the radiator exhaust with outside air, we made three-dimensional measurements of the air temperature distribution around the vehicle body to evaluate the accuracy of calculations made by the two models. We then used the models to predict the air temperature distribution around the rider for different air outlet duct configurations as well as for two motorcycles with different displacement values. The results showed that, although the RKE model effectively reproduced the qualitative trend of the air temperature distribution, it showed poorer prediction accuracy than the DES model. On the other hand, the DES model successfully reproduced the trends for different air outlet duct configurations, and the prediction error of air temperature around the rider was within 5°C of the actual measurements for the two different motorcycles. Although the DES computation time of 72 hours was seven times that of RKE, it was still considered practicable even for the model of the largest scale. Therefore, from the above, we can conclude that the DES model used in this study can effectively predict the air temperature distribution around the rider of an idling motorcycle.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:

CFD Prediction and Experimental Validation of High-Temperature Thermal Behavior in Catalytic Converters


View Details


Development and Use of LDV and Other Airflow Measurement Techniques as a Basis for the Improvement of Numerical Simulation of Engine Compartment Air Flows


View Details


Effects of Temperature and Pressure Loads on the Structural Behavior of Automotive Cooling Heat Exchangers Utilizing CFD and FEM Technology


View Details