Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (10): 2244-2255.doi: 10.13229/j.cnki.jdxbgxb20210307

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Aerodynamic noise optimization of vehicle claw-pole generator

Tai-ming HUANG1(),Wei-ping LI2(),Tao-tao HU2,Wan-hao YUE2,Nian-zhou JI2,Yu-bang LI3   

  1. 1.School of Mechanical Engineering，Hunan Institute of Science and Technology，Yueyang 414006，China
    2.State Key Laboratory for Advanced Design and Manufacture of Automobile Body，Hunan University，Changsha 410082，China
    3.School of Materials Science and Engineering，Central South University，Changsha 410083，China
  • Received:2021-04-12 Online:2022-10-01 Published:2022-11-11
  • Contact: Wei-ping LI E-mail:htm426@hnu.edu.cn;lwpzlbb@yeah.net

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Abstract:

Aiming at the problem that a certain type of claw-pole generator has obvious order aerodynamic noise characteristics under high-speed conditions， a noise test experiment is designed to obtain the main order noise， and the finite element software is used to establish a numerical simulation model of the flow field and sound field. The pressure distribution of the front and rear fan blades， the pressure and sound power distribution of the stator and rotor are analyzed， and the influence of different parts on the aerodynamic noise of the claw-pole generator is studied. The fan blade distribution angle was optimized by the vector synthesis method， and the simulation and test are established for the optimized fan blade to verify the aerodynamic noise optimization effect of the claw-pole generator. Experimental results show that the average noise reduction of the 8th and 12th order of the optimized claw pole generator in the entire speed range has reached 2.5 dB.

Key words: vehicle engineering, aerodynamic noise, claw-pole generator, vector composition method

CLC Number: 

  • U463.63

Fig.1

Claw-pole generator"

Fig.2

Experimental site"

Fig.3

Curves of acoustic power level of each order in no-load conditions"

Fig.4

Computational domains and interfaces"

Fig.5

Local section of calculation model mesh"

Fig.6

Grid independence test"

Fig.7

Acoustic calculation model"

Fig.8

Pressure contour in cross section of front and rear fan"

Fig.9

Pressure and surface acoustic power level contours of rotor"

Fig.10

Pressure and surface acoustic power level contours of stator"

Fig.11

Acoustic power level distribution"

Fig.12

Acoustic power level at 12 000 r/min"

Table 1

Blade angle distribution before and after optimization"

扇叶序号

前风扇

原始叶片

前风扇

优化叶片

后风扇

原始叶片

后风扇

优化叶片

136.00036.00043.00041.003
230.00030.00029.00031.232
330.00030.00029.00028.631
424.00024.00029.00024.773
524.00024.00029.00039.747
624.00024.00036.00035.443
724.00024.00036.00035.735
824.00024.00043.00033.727
936.00036.00043.00053.866
1036.00036.00044.00037.415
1136.00036.000--
1236.00036.000--

Fig.13

3D printed physical model"

Table 2

Average mass flow of each fan blade in axial direction before and after optimization"

流量监测截面位置

转速

/（r·min-1）

平均质量流量/（kg·s-1）

变化量

/%

优化前优化后
前风扇80000.02830.02871.4
后风扇80000.03250.0322-0.9
前风扇12 0000.04090.04182.2
后风扇12 0000.04870.0474-2.7

Fig.14

Acoustic power level contour under 12 000 r/min"

Fig.15

Pressure contour on section at optimized fan"

Fig.16

Comparison of sound power levels before and after optimization under 12 000 r/min"

Fig.17

Test curve of rear fan before and after optimization"

Table 3

Main order noise changes were measured by test before and after rear fan optimization"

转速

/（r·min-1）

阶 次优化前/dB优化后/dB变化量/dB
8000668.3970.42-2.03
873.5169.603.91
1071.1270.150.97
1272.6469.493.15
1469.2469.60-0.36
1669.2670.03-0.77
12 000680.4882.97-2.49
884.7682.811.95
1081.2880.810.47
1282.7679.653.11
1483.0182.110.90

Fig.18

Changes of total noise level before and after optimization"

Table 4

Noise variation of each order afteroptimization"

阶 次

最大减小量

/dB

最大增加量

/dB

平均变化量

/dB

6-0.9+4.7+2.2
8-5.1+0.2-2.5
9-1.4+3.6+1.0
10-3.1+0.7-1.0
11-3.3+4.0+0.2
12-5.2-0.4-2.8
14-1.9+2.6+0.1
16-2.9+1.8-0.3
24-3.4+1.6-1.1
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