• Title/Summary/Keyword: Vehicle Interior Noise

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Model Development and Analysis of the Car Interior Sound Quality (차량 실내 소음의 음질 분석 및 모델화)

  • Hur, Deog-Jae;Cho, Yeon;Kim, Hee-Seok;Lee, Keun-Soo;Park, Tae-Won
    • Journal of KSNVE
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    • v.10 no.2
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    • pp.254-260
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    • 2000
  • the reduction of the interior nosie level has been the main interest of NVH engineers in the development of vehicles. However, the consumer's perception on the car noise is affected largely by the psychoacoustic characteristics of the noise, as well as the sound pressure level. In this study, the quality of the vehicle interior nosie is analyzed by employing the subjective evaluations and by representing them in temrs of the objective quantities. The subjective evaluatins were performed for the seven vehicles in the range of subcompact to luxury cars. The methods of paired comparisons and semantic differential were used to study the preference, the quality of interior noise and their correlation. The linear regression models were obtained for the subjective evaluation and the sound quality metrics.

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Evaluation of the Inputs Efficiency for the Interior Noise of the Vehicle using Vector Synthesis Method (벡터합성법을 이용한 차량 실내소음의 입력원 영향도 평가)

  • Yang, In-Hyung;Jeong, Jae-Eun;Oh, Jae-Eung
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.6
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    • pp.562-567
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    • 2010
  • A passenger vehicle has various and complicated transmission paths of sound and vibration. In order to identify the mechanism of transfer path, estimation of excitation force and exact modeling of transfer path are required. In this paper vector synthesis technique is employed to identify the characteristics of road noise and its transmission to vehicle compartment through noise and vibration analysis. Vibration reduction efficiency of each transfer path is evaluated by comparing individual vector components obtained virtual simulation. The degree of effect is used to estimate the contribution of vibration input components to total output. And in this paper presents a new technique based on simulation studies using vector synthesis diagram and design of experiments, by which the effects of magnitude and phase change of input paths can be predicted.

Interior Noise Reduction of a Passenger Car using Panel Contribution Analysis (패널 기여도 분석에 의한 승용차의 실내 소음 저감)

  • 이두호;김태정
    • Journal of KSNVE
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    • v.9 no.4
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    • pp.785-794
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    • 1999
  • The panel contribution analysis to reduce interior booming noise of a passenger car is carried out using both experimental method and numerical one. The accelerations of panels are measured on the outer surface of car body during operation. The acoustic characteristic of cavity is represented by two different ways. One is the acoustic transfer function obtained by experiment with reciprocal manner. The other is the boundary element model and numerical results of the model are calculated using SYSNOISE. The results from numerical method show more good agreement with measured sound pressure levels than the experimental one. Contributions of panels for interior noise are ranked and structure of the car is reinforced according to the results, which shows that the panel contribution analysis is a powerful tool to lessen structure-borne noise of passenger vehicle.

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Refinement of Car Interior Noise Using the Vectorial Analysis Technique (벡터 해석법에 의한 차실 소음의 저감)

  • 이정권;민형선;백홍전
    • Journal of KSNVE
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    • v.1 no.2
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    • pp.141-147
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    • 1991
  • A vectorial approach is used to reduce the objectionable booming noise in the vehicle interior cabin. After identifying the structural transmisson paths, the structural-acoustic transfer functions are evaluated at those mounting positions. Using the measured deformations in the mounting elements and multiplying them with each dynamic stiffness value one can easily get the dynamic input forces acting on the mounting elements. By summing all the contributors vectorially, most important contributor or transmission path can be determined. According to the experimental information, devised countermeasures are applied to a development car and good results are obtained.

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Experimental Methods for the Noise Cause Analysis of the Interior Parts of the Vehicle (차량용 내부 부품의 소음발생 원인 분석을 위한 시험적 방법)

  • Choi, Nam-ryoung;Sa, Jung-hwan;Park, Jin-sung;Kim, Byoung-jin;Park, Hyun-woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.589-593
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    • 2014
  • Recently, the market has been released a lot of excellent NVH performance cars such as hybrid, electric and luxury cars. Therefore, the consumer is a tendency of many sensitive of the noise inside the vehicle than in the past. In order to match the propensity of such consumers, the automotive industry defines the standard of product related to noise generation of a single product. However, it is difficult to reduce the noise of the product to automobile part suppliers to follow these standards. In this paper, we propose a method for evaluating several necessary in order to find a way to reduce the noise.

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A Study on the Effect of Low Noise Wheel for the Noise and Vibration Reduction (방음차륜의 소음진동 저감효과에 관한 연구)

  • 김재철;유원희;문경호
    • Journal of KSNVE
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    • v.10 no.4
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    • pp.629-635
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    • 2000
  • Wheel /rail interaction has been known as a major source of railway noise. In this paper, a low noise wheel structure is developed and its effect on noise reduction is investigated. The developed low noise wheel employees a rubber material inserted into a steel rim or mounted on the wheel surface. Since the low noise wheel has low stiffness and high damping ratio compared to a solid wheel, the measurement results show that it reduces the rolling and squeal noise. It turns out that the proposed wheel could reduce interior noise level by 4∼5dB(A) and vehicle vibration level by 7∼10 dB. Although the proposed structure seems to be promising in noise reduction of railway vehicles, the low noise wheel is to be verified in endurance and cost effect.

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A Study for Interior Noise Contribution of Support Material used in Railway Vehicle Floor (철도차량 부유상구조의 Floor support 재질이 차량 실내소음에 미치는 영향에 관한 연구)

  • Son, Byoung-Gu;Kim, Jong-Nyeun;Woo, Kwan-Je
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.1776-1781
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    • 2008
  • To reduce interior noise of running vehicles, a floating floor construction has been widely used in recent railway industry. Among the key factors of the floating floor design, dynamic stiffness is of most important in acoustical point of view. Sometimes hard rubber type supports have often been selected due to the other design constraints such as heavy load condition, durability of rubber element and its cost etc., even though it seems like the softer support, the better isolation of noise and vibration. In this paper two representative floor supports have been considered to evaluate their effectiveness in interior noise contribution: one is a soft rubber and another is a relatively hard one. From the measured dynamic stiffness of the specimens, equivalent stiffness of actual floating floor has been derived to use in the analytical models. Calculated air-borne and structure-borne noise insulation properties of the floating floors have been compared with experiments in prototype car. In full car model interior noise levels of running vehicles have been predicted to quantify the effectiveness of the two different floating support materials and verified through the measured inside noise levels of actual train as well. By comparison with difference of running noise levels two materials for floor support can be investigated quantitatively so that it could be applied in floating floor design.

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CAE-based DFSS Study for Road Noise Reduction (Road Noise 개선을 위한 CAE 기반 DFSS Study)

  • Kwon, Woo-Sung;Yoo, Bong-Jun;Kim, Byoung-Hoon;Kim, In-Dong
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2011.04a
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    • pp.735-741
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    • 2011
  • In the early phase of vehicle development, CAE is conducted as tool for vehicle performance assessment. To maintain acceptable road noise performance, solution for reduced vehicle sensitivity is required. Chassis interface dynamic stiffness characteristics are key component to isolating vibration and noise of road from the vehicle interior. This research provide how to set up the optimized dynamic characteristics under noise effect through DFSS study. CAE-based DOE is performed to build prediction math model, CMS process involves DOE to achieve very fast run times while giving results very comparable. Minimized $95^{th}$ percentile of performance distribution is applied to minimize vehicle sensitivity and road noise levels variation during the optimization process. Finally, the results of optimization were reviewed for performance and robustness.

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Subjective Evaluation of Sound Quality in Vehicle Passenger Compartment during Acceleration (자동차 주행 가속 차실 소음의 주관적 음질 평가)

  • Kang, S.W.;Lee, J.M.
    • Proceedings of the KSME Conference
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    • 2001.06b
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    • pp.187-191
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    • 2001
  • Sound quality engineering in automobile noise applications has become more and more important under the current quiet driving condition that the interior noise level is below 65 dBA, because various noise components masked under high noise level can be audible in quieter driving situation. Many researches have been carried out for subjective and objective assessments on automobile sounds and noises. In particular, the interior sound quality has been one of research fields that can give high-quality feature to automobile products. Although many works related to the interior sound quality have been progressed or completed in foreign countries, limited research results are presented in the country. In the study, as a base step necessary to objective assessments on car interior noises, subjective assessments are performed with 20 subjects. For this purpose, perceptual adjectives suitable to the assessment of acceleration noises are selected as assessment scales through questionnaire procedures using 35 subjects. Mean values and standard deviations are calculated for noises created through digital filtering of acceleration noises measured. In addition, the correlation analysis and the factor analysis are carried out to investigate the dependence of the assessment scales selected.

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