A prediction method for separating and quantifying noise contributions from casings and other plate like components in complex machines

Nejade, A.

doi:10.1016/j.jsv.2012.06.007

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…14–16 This suggests that the MDSA is used to estimate the pure contribution of the inputs relative to the outputs by considering the input–input or the input–output correlations. 16–19 In this study, we calculated a transfer function between the input and the output as a single-input single-output relationship, as shown in Figure 1. Its relation to a Fourier transform is given by…”

Section: Coherence Function Techniquementioning

confidence: 99%

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Evaluation of the rattle noise of a vehicle seat using the coherence analysis technique

Jeong

Kim

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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The complicated transfer path relationship between the vibrations of a seat and the noise at the locations of the driver’s ears was estimated from the residual spectrum. For accurate quantitative estimation of the rattle noise at the locations of the driver’s ears, in particular the partial coherence function of the pure inputs to the output was modelled by considering the correlation between the inputs and the input–output. Whenever a coherence analysis was performed with the noise sources in close proximity selected as the inputs and the noise at the locations of the driver’s ears modelled as the output, the partially coherent output spectrum as a quantitative contribution of the inputs to the output was determined. In this study, we applied a coherence analysis technique to identify the sources of the rattle noise of a seat by visualizing the noise sources with an acoustic camera while excitation of the seat was carried out using a hydraulic exciter. We were able to generate the rattle noise from the headrest stay, the recliner and the front part of the slide while excitation of the seat was obtained using a hydraulic exciter with white noise. We observed that the noise was generated by utilizing a hydraulic six-axis exciter positioned at the driver’s seat of a middle-sized manual transmission vehicle. We determined that the noise measured at the locations of the driver’s ears had a frequency of 58 Hz using acoustic visualization and a coherence technique. It was selected in particular as the target frequency since the 58 Hz resonant frequency caused by the twisting mode of the seat back was identical with the frequency of the rattle noise. Finally, it was verified through a modal test that the rattle noise at 58 Hz was generated by the vibration characteristics of the seat, which depended on gaps between the headrest stay and the guide.

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Section: Coherence Function Techniquementioning

confidence: 99%

“…According to the literature on the coherence analysis technique for identification of a noise source, generally an ordinary coherence function (OCF) was used between the input and the output without considering correlations between the inputs and the input–output. 16–19…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the rattle noise of a vehicle seat using the coherence analysis technique

Jeong

Kim

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…In the field of transfer path analysis, Li [20] explored the relationship between the transfer path and the control strategies with a fully coupled vibro-acoustic model. Nejade [21] separated and quantified noise contributions from casings and other plate like components in complex machines. Yan [22] found out the source with dominant contribution and picked up the largest sound quality contribution source from three sources.…”

mentioning

confidence: 99%

The noise control of minicar body in white based on acoustic panel participation method

Wang¹,

Qin²,

Li³

et al. 2016

J. vibroeng.

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It is very important to predict the acoustic radiation of vehicle body for the control of interior noise. Firstly, the kinetic equations of coupled acoustic-structural finite element method are explained and the numerical analytical methods of noise transfer function and acoustic panel participation are further obtained. Then the coupled acoustic-structural finite element model of body in white and passenger compartment cavity of a minicar is established and verified by modal test. The passive side of engine mounting points are chosen as the excitation points, and driver’s right ear is the output point of sound pressure response. The noise transfer function is calculated and the critical frequency of vehicle interior noise is obtained. The acoustic panel participation analysis of vehicle roof and floor are conducted, and the key acoustic panels are identified. In order to reduce the noise of critical frequency, the measures, pasting damping material and welding beam, are adopted. The results indicate that, compared with the results of structure improvement of modal method, the vehicle interior noise is controlled more effectively by using the acoustic panel participation analytical method.

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Experimental characterization of a household heat pump tumble dryer noise

et al. 2022

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A prediction method for separating and quantifying noise contributions from casings and other plate like components in complex machines

Cited by 5 publications

References 10 publications

Evaluation of the rattle noise of a vehicle seat using the coherence analysis technique

Evaluation of the rattle noise of a vehicle seat using the coherence analysis technique

The noise control of minicar body in white based on acoustic panel participation method

Experimental characterization of a household heat pump tumble dryer noise

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