• Title/Summary/Keyword: Noise generating parts

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A Study on the Reduction of Structure-borne Noise in a Train (철도차량 구조기인 소음의 저감에 관한 연구)

  • Woo, Kwan-Je;Kim, Seock-Hyun
    • Journal of the Korean Society for Railway
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    • v.11 no.6
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    • pp.519-523
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    • 2008
  • Inside noise levels of running train is the summation of air borne noise and structure-borne noise. In this paper, structure-borne noise, which is known to dominate inside noise level in open field, is investigated. Structure borne noise is analyzed in terms of vibration sources, transmission path and noise generating part so as to reduce inside noise levels.

Introduction and activities of ISO/TC 108/SC 6 (ISO/TC 108/SC 6 소개 및 최근 활동)

  • Kim, Nag In
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.04a
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    • pp.545-547
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    • 2014
  • The scope of ISO/TC 108/SC 6, revised in accordance with Doc. ISO/TC 108/SC 6 N 35, September 1997, is as follows: Standardization in the field of vibration and shock generating systems, for test purposes (including environment, seismic and dynamic testing, calibration and diagnostics) as well as auxiliary equipment and instrumentation normally associated with it. Vibration and shock generating systems as an object of standardization within ISO/TC 108/SC 6 are only those systems that are used during vibration/shock testing to determine properties of a specimen. Vibration and shock systems being used in such processes as transportation, milling, compacting, metal working, etc., as parts of vibration control systems or household appliances and in health services, are not covered by ISO/TC 108/SC 6.

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Experimental Study of being vehicle cockpit module BSR Noise considering the deterioration condition of the module unit (모듈 단위 열화조건을 고려한 자동차용 칵핏 모듈 이음(BSR Noise)에 대한 시험적 고찰)

  • Yi, Chulhyun;Yang, Jeongmin;Cho, Jinho;Lee, Wonku;Woo, Changsu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.791-795
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    • 2014
  • In this paper, in order to impart the aging condition of the parts, by configuring the cycle of temperature from low temperature was performed by applying the aging conditions for vehicle cockpit module. The reason for the selected modules of the cockpit vehicle parts, because the joint occurrence typical components of the room component is a first module and ceiling cockpit module. After setting the excitation profile using the BSR exciter only that this is for the module degradation after the initial and grasp the change in the dynamic characteristics of the modules based on the before and after deterioration may be made in the module, grasp the noise generating position I measured the noise and proximity. Was also visualized on the position of the joint is generated using a sound camera to objective results occurring where the joint is selected through subjective evaluation.

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ULTRASIM$^R$ Integrative Simulation Technology on the Development of Automotive Plastic Parts

  • Jae, Hyung-Ho;De Matos, Zeidam Rachib;Kim, Min-Oug;Glaser, Stefan;Wuest, Andreas
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2012.04a
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    • pp.132-137
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    • 2012
  • To enhance the CAE accuracy, the definition of material behavior is one of key influence on the result. In case of plastic material with fiber reinforcement, the anisotropic material behavior should be taken into account to increase of CAE accuracy. BASF has developed an innovative CAE tool, ULTRASIM$^R$, which is capable of generating material models of thermoplastic materials for structural simulation. ULTRASIM$^R$, not only the glass fiber orientation effect, but also the weld line effect, tensile-compression anisotropy, strain rate effect are combined in a non-linear material law, which will be evaluated in a unique failure criterion, thus resulting in an highly accurate CAE approach.

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Computational Study of Automotive Drum Brake Squeal (자동차 드럼 브레이크의 스퀼 전산 해석 연구)

  • Jung, Taeksu;Cho, Chongdu
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.7
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    • pp.16-22
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    • 2014
  • Automotive NVH on brake operation is mainly caused by a coupling action of vehicle speed and inter parts friction and its frequency occurs over a broad band of 0.1 kHz~10 kHz. Especially, squeal noise, being a self-excited vibration generated by friction force between drum and lining, occurs over 1 kHz and consequently dynamic instability is induced when friction energy is applied to a brake vibration system. The squeal strongly depends on nonlinear properties influenced by the material of lining, velocity of vehicle, and the dynamic properties of a brake system. The dynamic properties are considered as a main influential design factor to squeal noise, however the analysis of the properties are rarely facilitated due to arbitrariness of shape by wearing down. In this paper, we research generating tendency of squeal noise through complex eigenvalue analysis, tracking drum brake's unstable modes in accordance with the wear shape of drum and lining such as tapered and bellmouth shape, and analyze computed unstable modes by variable shapes.

A Study on the Characteristics of Noise in Small Boats (소형 선박의 소음 특성에 관한 연구)

  • 최한규;신형일;양보석;이유원;김광홍
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.39 no.2
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    • pp.134-142
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    • 2003
  • Most of the vibration and noise generating in small boats come from shipboard machinery such as main engine, generator and auxiliary machinery etc. In order to build up the comfortable environment for the crew and to reduce the ambient noise, and provide basic materials for reasoning selection application, the design under allowable vibration & noise conditions and the examination of vibration condition of the new ships, this paper researches the frequency spectrum and order analysis of vibration and noise. The obtained results are summarized as follows : Through comparing the small boat internal noise with the regulation of IMO and DNV, it revealed that the noise level of main engine room accords with the standard, and the noise of other places are beyond the values. In this paper, two boats are analyzed, which are same type, same size and power, but the main engines noise of them is different. In order to search the noise source, the noise of main engine room and relative parts are measured. The third order of measured points is dominant in frequency domain by the order analysis.

An effective method to reduce the contraction and expansion noise of air conditioner (에어컨 실내기의 수축팽창 소음 저감 방법)

  • Kim, Kang-Hwan;Kim, Won-Jin
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.2
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    • pp.98-104
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    • 2020
  • A method to reduce the Contraction and Expansion (CE) noise occurred in an air conditioner is investigated. The noise is measured during the cooling and heating phases in a temperature and humidity chamber to identify the generating phenomenon of CE noise of the air conditioner and the decomposition method is used to estimate its occurrence location. The CE noise of an air conditioner is known to be caused by a stick-slip phenomenon generated by joints of parts connected to the lower decor. Thus a friction experiment was conducted to investigate noise inducing factors. Also, this study established evaluation criteria to effectively analyze the results from friction experiments. Experimental results indicate that increasing surface roughness on both sides of joints is effective. Accordingly, the effect of increased surface roughness on joints of upper and lower decor of air conditioners is evaluated to see its feasibility in a temperature and humidity chamber.

Recognition of Patterns and Marks on the Glass Panel of Computer Monitor (컴퓨터 모니터용 유리 패널의 문자 마크 인식)

  • Ahn, In-Mo;Lee, Kee-Sang
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.52 no.1
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    • pp.35-41
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    • 2003
  • In this paper, a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on the glass panels of computer monitors is suggested and evaluated experimentally. The vision system is equipped with a neural network and an NGC pattern classifier including searching process based on normalized grayscale correlation and adaptive binarization. This system is found to be applicable even to the cases in which the segmentation of the pattern area from the background using ordinary blob coloring technique is quite difficult. The inspection process is accomplished by the use of the NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three parts: NGC matching process and the preprocessing unit for acquiring the best quality of binary image data, a neural network-based recognition algorithm, and the learning algorithm for the neural network. Another contribution of this paper is the method of generating the training patterns from only a few typical product samples in place of real images of all types of good products.

A Highly-Integrated Analog Front-End IC for Medical Ultrasound Imaging Systems (초음파 의료 영상시스템용 고집적 아날로그 Front-End 집적 회로)

  • Banuaji, Aditya;Cha, Hyouk-Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.12
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    • pp.49-55
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    • 2013
  • A high-voltage highly-integrated analog front-end (AFE) IC for medical ultrasound imaging applications is implemented using standard 0.18-${\mu}m$ CMOS process. The proposed AFE IC is composed of a high-voltage (HV) pulser utilizing stacked transistors generating up to 15 Vp-p pulses at 2.6 MHz, a low-voltage low-noise transimpedance preamplifier, and a HV switch for isolation between the transmit and receive parts. The designed IC consumes less than $0.15mm^2$ of core area, making it feasible to be applied for multi-array medical ultrasound imaging systems, including portable handheld applications.

A study on Improving the Performance of Anti - Drone Systems using AI (인공지능(AI)을 활용한 드론방어체계 성능향상 방안에 관한 연구)

  • Hae Chul Ma;Jong Chan Moon;Jae Yong Park;Su Han Lee;Hyuk Jin Kwon
    • Journal of the Korean Society of Systems Engineering
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    • v.19 no.2
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    • pp.126-134
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    • 2023
  • Drones are emerging as a new security threat, and the world is working to reduce them. Detection and identification are the most difficult and important parts of the anti-drone systems. Existing detection and identification methods each have their strengths and weaknesses, so complementary operations are required. Detection and identification performance in anti-drone systems can be improved through the use of artificial intelligence. This is because artificial intelligence can quickly analyze differences smaller than humans. There are three ways to utilize artificial intelligence. Through reinforcement learning-based physical control, noise and blur generated when the optical camera tracks the drone may be reduced, and tracking stability may be improved. The latest NeRF algorithm can be used to solve the problem of lack of enemy drone data. It is necessary to build a data network to utilize artificial intelligence. Through this, data can be efficiently collected and managed. In addition, model performance can be improved by regularly generating artificial intelligence learning data.