Pantograph Area Noise and Vibration Transmission Characteristics and Interior Noise Reduction Method of High-Speed Trains

Guo, Junjun; Ge, Jian Min; Sun, Zonghan; Liu, S. Q.; Zhao, Yue; Lin, J. S.

doi:10.1007/978-3-662-44832-8_66

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…With the development of modern transportation, riding comfort has become more important than ever as a parameter for assessing the quality of high-speed railways [1]. Generally, the passenger's travel experiment can be affected by the seat [2], noise [3,4], vibration [5], personal space [6], and comprehensive factors [7,8]. Different from subways and regular-speed trains, sitting is the most common posture for people on high-speed railways and, therefore, a more comfortable seat will effectively improve subjective feelings and reduce fatigue [9,10].…”

Section: Introductionmentioning

confidence: 99%

Comfort Assessment and Optimization Based on FE Simulation for High-Speed Train Seats: Comparison with Different Design Parameters

et al. 2022

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Nowadays, riding comfort is more significant than before for evaluating the quality of high–speed railways and sitting is the most common posture for its passengers. This study aimed to analyze and optimize the pressure distribution and sitting comfort of second–class seats with different design parameters. Firstly, 21 pressure features were calculated after the field sitting tests conducted on a CRH Train. The subjective comfort was quantified as a linear combination of 6 pressure features in 21, which were selected using stepwise regression analysis (R2 = 0.684). A seat-human finite element model was established using THUMS for a human body and MAT_57 for the seat foam. Finally, this study analyzed the effects of foam and seat angles on interface pressure distribution and comfort ratings. The set of design parameters with the highest comfort was selected from 12 free combinations. The results show that the seat foam with less stiffness may not improve sitting comfort due to the asymmetry of the seat frame. Moreover, appropriately increasing the stiffness of the cushion and backrest will not lead to a decrease in subjective feelings and the pressure distribution becomes more reasonable as the inclination angle increases within 10 degrees. The final optimization increases the computational comfort of the seat-human model by 6.5 in a −50 to 50 scale.

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Section: Introductionmentioning

confidence: 99%

Comfort Assessment and Optimization Based on FE Simulation for High-Speed Train Seats: Comparison with Different Design Parameters

et al. 2022

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“…However, the decreased noise level paradoxically draws the driver's attention to weakly audible and occasional interior types of noise known as buzzing, squeaking, and rattling (BSR) noise. Recent research determined the BSR noise in vehicles to be an important cause of customer dissatisfaction [4,5]. Especially, in the case of the car door trim panel, Hyundai Motor and Kia Motors reported that 47% of the recalled car door trim panels in 2013 were claimed to be responsible for BSR noise generated while driving…”

Section: Introductionmentioning

confidence: 99%

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Baek

Kim

2020

Sensors

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Car body parts are sometimes responsible for irritating noise caused by assembly defects. Typically, various types of noise are known to originate from within the interior trim panels of car doors. This noise is considered to be an important factor that degrades the emotional satisfaction of the driver of the car. This research suggests an in-process inspection system consisting of an inspection workstation and a noise detection method. The inspection workstation presses down the car door trim panel by using a pneumatic pusher while microphones record the acoustic signals directly above the door trim panel and on the four sides of the workstation. The collected signals are analyzed by the proposed noise detection method after applying noise reduction. The noise detection method determines the presence of irritating noise by using noise source localization in combination with the time difference of arrival method and the relative signal strengths. The performance of the in-process noise detection system was evaluated by conducting experiments on faulty and healthy car door trim panels.

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“…Sound source imaging technology suitable for anechoic/none anechoic wind tunnel or internal and external space is one of the research focuses in the field of aviation acoustics and underwater acoustics all the time, which makes it possible to study the sound source directly [7][8][9][10] . After array design optimization and postprocessing algorithm improvement, resolution and precision of acoustic phased array imaging have been greatly improved, and the maximum sidelobe level is lower than10dB [11][12][13][14] .…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on Noise Source Spectrogram of a High-speed Train’s Pantograph

Wu¹,

Yang²

2017

dtetr

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Using acoustic phased array technique to take an experiment research on noise source spectrogram of a high-speed train's Pantograph. The post-processing algorithm Non Negative Least Squares method (NNLS) is applied to deal with the initial source image obtained by traditional beamforming algorithm Day-and-Sum (DAS), and the number of iterations is chosen as 300 steps. The results of experiment show that noise of the pantograph raised is obviously larger than noise of the pantograph dropped, and the SIL of the pantograph "knuckle" facing backward is greater about 1dBA than the SIL of pantograph "knuckle" faced forward. Last, the noise source spectrogram of the pantograph raised is fitted by quadratic polynomial. According to the spectral fitting, the peak frequency is around 1.4kHz which is greater than the spectrogram of experiment. Therefore the sound energy of pantograph is mainly concentrated in the high frequency region.

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Pantograph Area Noise and Vibration Transmission Characteristics and Interior Noise Reduction Method of High-Speed Trains

Cited by 5 publications

References 3 publications

Comfort Assessment and Optimization Based on FE Simulation for High-Speed Train Seats: Comparison with Different Design Parameters

Comfort Assessment and Optimization Based on FE Simulation for High-Speed Train Seats: Comparison with Different Design Parameters

An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors

Experimental Research on Noise Source Spectrogram of a High-speed Train’s Pantograph

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