基于时间反转法的汽车车门Rattle异响噪声源定位研究

doi:10.19562/j.chinasae.qcgc.2022.12.017

Abstract

Abstract:

For locating the noise sources of common car door rattle， a mathematical model is established first based on the Lamb wave propagation theory， Morlet wavelet transform and time reversal focusing positioning principle， and a method for locating the noise source of car door rattle is proposed. Then through thin plate impact simulation， the cause of the aliasing of the vibration signal wave packet is explored， and the principle of narrowband signal extraction is determined. Finally a noise source locating test for car door rattle is conducted， and the influencing rule of the issuing moment of abnormal noise signal on the positioning imaging is revealed， with a signal image judgment method for the moment put forward. The test results show that the maximum and average locating error of noise source of car door rattle is 3.16 cm and 2.01 cm respectively， verifying the feasibility and engineering application value of the rattle source locating method based on time reversal technique proposed.

Key words: abnormal noise, car door, time reversal method, Lamb wave, Morlet wavelet transform, wave packet aliasing

Weidong Zhao,Xinwei Xu,Rui Song,Mingliang Yang,Chao Qi. Research on Noise Source Locating for Car Door Rattle Based on Time Reversal Method[J].Automotive Engineering, 2022, 44(12): 1954-1970.

Figures/Tables 18

材料

密度/

（kg·m^-3）

弹性模量/Pa

泊松比

延性损伤

断裂应变

应力三轴比

钢铁

7 800

2.1

×

10⁹

0.3

2.2

0.3

0.7

References 36

1	GOSAVI S S. Automotive buzz， squeak and rattle （BSR） detection and prevention［C］. SAE Paper 2005-26-056.
2	TRAPP M， CHEN F. Automotive buzz， squeak and rattle： mechanisms， analysis， evaluation and prevention［M］. Elsevier， 2011.
3	UTZIG L， WEISHEIT K， SEPAHVAND K， et al. Innovative squeak noise prediction： an approach using the harmonic balance method and a variable normal contact force［J］. Journal of Sound and Vibration， 2021， 501： 116077.
4	COOK V G C， ALI A. End-of-line inspection for annoying noises in automobiles： trends and perspectives［J］. Applied Acoustics， 2012， 73（3）： 265-275.
5	LIANG Linyuan， CHEN Shuming， LI Peiran. Experiment and evaluation study on rattle noise in automotive seat system［J］. International Journal of Automotive Technology， 2021， 22（2）： 391-402.
6	LIANG Linyuan， LI Peiran， CHEN Shuming. Further study of the vehicle rattle noise with consideration of the impact rates and loudness［J］. SAE International Journal of Advances and Current Practices in Mobility， 2020， 2： 2285-2296.
7	PAYER J， AMORT M， GIRSTMAIR J， et al. Seat belt retractor noise test correlation to 2DOF shaker test and real vehicle comfort［C］. SAE Paper 2018-01-1507.
8	FAN Rongping， SU Zhongqing， MENG Guan， et al. Application of sound intensity and partial coherence to identify interior noise sources on the high speed train［J］. Mechanical Systems and Signal Processing， 2014， 46（2）： 481-493.
9	JUNG I J， IH J G. Combined microphone array for precise localization of sound source using the acoustic intensimetry［J］. Mechanical Systems and Signal Processing， 2021， 160： 107820.
10	ZHANG Yan， HOU Hangsheng， ZHANG Zhi， et al. Door-closing sound quality improvement process based on beamforming method， wavelet analysis， and component design optimization［J］. SAE International Journal of Vehicle Dynamics， Stability， and NVH， 2020， 4（3）： 233-246.
11	THOMAS A J， GOSAIN A， BALACHANDRAN P. Vehicular cabin noise source identification and optimization using beamforming and acoustical holography［C］. SAE Paper 2014-01-0004.
12	SHI Tongyang， LIU Yangfan， BOLTON J S， et al. Diesel engine noise source visualization with wideband acoustical holography［C］. SAE Paper 2017-01-1874.
13	ZHANG X Z， BI C X， ZHANG Y B， et al. Real-time nearfield acoustic holography for reconstructing the instantaneous surface normal velocity［J］. Mechanical Systems and Signal Processing， 2015， 52： 663-671.
14	PAN Siwei， JIANG Weikang. A hybrid approach to reconstruct transient sound field based on the free-field time reversal method and interpolated time-domain equivalent source method［J］. Journal of Sound and Vibration， 2014， 333（16）： 3625-3638.
15	PEPPER D M. Nonlinear optical phase conjugation［J］. Laser Handbook， 1985， 22（6）： 333-485.
16	FISHER R A. Optical phase conjugation［M］. Academic Press， 2012.
17	SINGH S， SINGH S. On compensation of four wave mixing effect in dispersion managed hybrid WDM-OTDM multicast overlay system with optical phase conjugation modules［J］. Optical Fiber Technology， 2017， 38： 160-166.
18	ZHANG Kai， GAO Guanjun， ZHANG Jie， et al. Mitigation of nonlinear fiber distortion using optical phase conjugation for mode-division multiplexed transmission［J］. Optical Fiber Technology， 2018， 43： 169-174.
19	FINK M. Time reversal of ultrasonic fields. I. Basic principles［J］. IEEE Transactions on Ultrasonics， Ferroelectrics， and Frequency Control， 1992， 39（5）： 555-566.
20	WU F， THOMAS J L， FINK M. Time reversal of ultrasonic fields. Il. Experimental results［J］. IEEE Transactions on Ultrasonics， Ferroelectrics， and Frequency Control， 1992， 39（5）： 567-578.
21	FINK M， PRADA C， WU F， et al. Self focusing in inhomogeneous media with time reversal acoustic mirrors［C］.IEEE Ultrasonics Symposium， 1989，2： 681-686.
22	DOWLING D R， JACKSON D R. Phase conjugation in underwater acoustics［J］. J. Acoust. Soc. Am， 1998， 89（1）：171-181.
23	ZHANG Guosong， HOVEM J M， HE Fengdong， et al. Coherent underwater communication using passive time reversal over multipath channels［J］. Applied Acoustics， 2011， 72（7）： 412-419.
24	YUAN Fei， WEI Qian， CHENG En. Joint virtual time reversal communications with an orthogonal chirp spread spectrum over underwater acoustic channel［J］. Applied Acoustics， 2017， 117： 122-131.
25	MU Weilei， SUN Jiangang， XIN Ren， et al. Time reversal damage localization method of ocean platform based on particle swarm optimization algorithm［J］. Marine Structures， 2020， 69： 102672.
26	WANG Junzhen， YUAN Shenfang. An enhanced Lamb wave virtual time reversal technique for damage detection with transducer transfer function compensation［J］. Smart Materials and Structures， 2019， 28（8）： 085017.
27	KWAK Y， PARK S M， LEE J， et al. Rattle noise source localization through the time reversal of dispersive vibration signals on a road vehicle［J］. Wave Motion， 2020， 93： 102452.
28	XU B， GIURGIUTIU V. Single mode tuning effects on Lamb wave time reversal with piezoelectric wafer active sensors for structural health monitoring［J］. Journal of Nondestructive Evaluation， 2007， 26（2）： 123-134.
29	LI Zhuang， QIAO Gang， SUN Zongxin， et al. Short baseline positioning with an improved time reversal technique in a multi-path channel［J］. Journal of Marine Science and Application， 2012， 11（2）： 251-257.
30	HARB M S， YUAN F G. A rapid， fully non-contact， hybrid system for generating Lamb wave dispersion curves［J］. Ultrasonics， 2015， 61： 62-70.
31	QIU Lei， YUAN Shenfang， ZHANG Xiaoyue， et al. A time reversal focusing based impact imaging method and its evaluation on complex composite structures［J］. Smart Materials and Structures， 2011， 20（10）： 105014.
32	WANG Shen， HUANG Songling， WANG Qing， et al. Mode identification of broadband Lamb wave signal with squeezed wavelet transform［J］. Applied Acoustics， 2017， 125： 91-101.
33	CHANG C C， YU C P， LIN Y. Distinction between crack echoes and rebar echoes based on Morlet wavelet transform of impact echo signals［J］. NDT & E International， 2019， 108： 102169.
34	CHENG Wei， XU Guoqing， MOU Longhua. Study of Morlet complex wavelet based phasor estimation algorithm for traction line［J］. Transactions of China Electrotechnical Society， 2006， 21（2）： 108-113.
35	PENG Ge， YUAN Shenfang. Damage localization on two-dimensional structure based on wavelet transform and active lamb wave-based method［J］. Materials Science Forum， 2005， 510： 475-479.
36	CAO Shuhao， LU Yu， ZHANG Hanfei， et al. Probability weighted four-point arc imaging algorithm for time-reversed lamb wave damage detection［J］. Vibroengineering Procedia， 2019， 22： 25-30.

[1]	HAO Han, WANG Si-南, LI Xiao, LIU Zong-Wei, ZHAO Fu-Quan. [J]. , 2017, 39(1): 1 -8 .
[2]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[3]	JIANG Ting, DAI Bing. [J]. , 2016, 38(12): 1459 -1466 .
[4]	ZHANG Yi-Bing, 吕Jian-Jun , YUAN Guang-Hui. [J]. , 2016, 38(12): 1467 -1470 .
[5]	FENG Chong, ZHANG Dong-Hao, LUO Yu-Gong, LI Ke-Qiang. [J]. , 2017, 39(1): 66 -72 .
[6]	YU Zhuo-Ping, HAN Wei, XIONG Lu. [J]. , 2017, 39(1): 52 -60 .
[7]	DAI Xiao-Ye, AN Qing-Song, SHI Lin, DI Hui-Xing. [J]. , 2017, 39(2): 121 -126 .
[8]	GUO Peng-Cheng, XU Cong-Chang, LIU Zhi-Wen, FANG Xiang-Dong, LI Luo-Xing. [J]. , 2017, 39(2): 138 -144 .
[9]	ZHANG Zhong-Shi, WANG Li-Fang, ZHANG Jun-Zhi. [J]. , 2017, 39(3): 288 -295 .
[10]	WANG Zhen, CUI Ya-Hui-.Liu-Kai, XU Lin. [J]. , 2017, 39(3): 304 -310 .

Rattle异响定位试验	实际敲击点坐标/cm	TR定位敲击点坐标/cm	定位误差/cm	平均误差/cm
1	（35， 15， 0）	（34， 16， 0）	1.41	2.01
2	（60， 30， 0）	（58， 31， 0）	2.24
3	（20， 10， 0）	（22， 10， 0）	2
4	（50， 32， 0）	（49， 30， 0）	2.24
5	（41， 22， 0）	（40， 22， 0）	1
6	（46， 16， 0）	（45， 19， 0）	3.16

Research on Noise Source Locating for Car Door Rattle Based on Time Reversal Method

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