Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (1): 107-113.doi: 10.13229/j.cnki.jdxbgxb20190960

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Influence performance with wheel spoke design parameters of vehicle aerodynamic

Chang SU(),Ying HAN,Ying-chao ZHANG(),Zhen-hua MIAO   

  1. State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China
  • Received:2019-10-18 Online:2021-01-01 Published:2021-01-20
  • Contact: Ying-chao ZHANG E-mail:suc@jlu.edu.cn;yingchao@jlu.edu.cn

Abstract:

In order to explore the influence of spoke features on vehicle aerodynamic drag coefficient (Cd), an improved MIRA model was studied in Fluent to investigate the relationship of vehicle aerodynamic drag coefficient with different spoke offset distances and curvatures. Meanwhile, the reasons of drag variance in different cases were analyzed. Then combination cases were explored on the influence of various conditions on the vehicle Cd. The simulation results indicate that smaller spoke offset distance is beneficial to the Cd reduction, and when the wheel spokes offset distance is 10 mm, the vehicle Cd is minimum, which is 0.2514. Compared with the base case, the rate of Cd reduction is 5.56%. The increase in spoke curvatures will increase the vehicle aerodynamic drag coefficient.

Key words: aerodynamics, spoke offset distance, spoke curvature, aerodynamic drag coefficient, numerical simulation

CLC Number: 

  • U461.1

Fig.1

Spoke offset distance and curvature"

Table 1

Cases of numerical simulation"

L/mm曲率k
00.0010.0020.0030.004
0a1b1c1d1e1
10a2b2c2d2e2
20a3b3c3d3e3
30a4b4c4d4e4
40a5b5c5d5e5

Fig.2

Wheel structures of every case"

Fig.3

Three views of improved MIRA model"

Table 2

Relationship between surface mesh size and Cd of MIRA model"

车身面网格尺寸/mm网格总数/万Cd?Cd
156120.29921.08%
1013830.29850.84%
7.521310.29870.91%
Exp.-0.296-

Fig.4

Grid scheme of MIRA model"

Table 3

Boundary conditions of simulation"

计算域边界条件设置值
入口Velocity inlet20 m/s
出口Pressure outlet0 Pa
车轮Moving wall59.85 rad/s
侧面WallSymmetry
底面WallWall

Table 4

Relationship between spoke offset distances and vehicle aerodynamic drag coefficient"

模型前轮阻力系数后轮阻力系数整车阻力系数
a10.02960.0230.2662
a20.030.02530.2514
a30.030.02610.259
a40.03120.02650.2657
a50.03320.02730.2776

Fig.5

Relationship between spoke offset distances and vehicle aerodynamic drag coefficient"

Fig.6

Comparison of turbulent kinetic energy in base case and best case"

Fig.7

Comparison of velocity vector diagram"

Fig.8

Comparison of tail turbulent kinetic energy"

Fig.9

Comparison of wheel turbulent kinetic energy in L=0 and 40 mm"

Table 5

Relationship between spoke curvatures and vehicle aerodynamic drag coefficient"

模型前轮阻力系数后轮阻力系数整车阻力系数
a10.02960.0230.2662
b10.02940.02370.2669
c10.03120.02170.2677
d10.0310.0240.2707
e10.03390.01780.2755

Fig.10

Relationship between spoke curvatures and vehicle aerodynamic drag coefficient"

Fig.11

Comparison of wheel turbulent kinetic energy in k=0 and 0.004"

Table 6

Vehicle aerodynamic drag coefficient of combined cases"

模型前轮阻力系数后轮阻力系数整车阻力系数
a10.02960.0230.2662
a20.030.02530.2514
a30.030.02610.259
a40.03120.02650.2657
a50.03320.02730.2776
b10.02940.02370.2669
b20.02860.02330.2656
b30.02860.02430.2638
b40.03010.02490.2669
b50.0280.02660.2643
c10.03120.02170.2677
c20.03030.02540.2748
c30.02950.02540.2749
c40.02870.02460.2640
c50.02960.02520.2659
d10.0310.0240.2707
d20.03290.02240.2738
d30.03390.0230.2723
d40.03250.02090.2668
d50.03110.02480.2739
e10.03390.01780.2755
e20.03140.02320.2704
e30.03540.02440.2799
e40.03380.02240.2716
e50.03220.02420.2758

Fig.12

Comparison of aerodynamic drag coefficient in L=10 and 20 mm"

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