• Title/Summary/Keyword: Mounting method

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The Optimization of Vehicle Engine Mounting System Using DFSS(design for six sigma) Technique (DFSS기법을 이용한 차량 엔진마운팅 시스템 최적화)

  • Park, Un-Hwan;Song, Yoon-Chul
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.3
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    • pp.235-241
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    • 2010
  • Engine Mount plays an important role which supports engine, isolates vibration from engine and blocks the vibration from road. Development of engine mount for NVH costs great a deal. So, the cost of development being reduced, the way developed effectively engine mount using DFSS technique is proposed in this paper. CTQ(critical to quality) is vibration and parameter is dynamic stiffness of mounts. The core parameters are selected with TPA(transfer path analysis) technique. It uses design of experiments(DOE) or Taguchi Methods to optimize parameter values and reduce variation. And then, this paper shows the result of improvement for vibration in the developing vehicle.

A Wearable Safety Device for the Body Protection of Motorcyclists (모터사이클 운전자 신체보호용 안전장치 개발 프로세스)

  • Jang, Dong-Hwan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.1
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    • pp.25-33
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    • 2021
  • This paper presents the development process for airbag safety devices fitted in motorcyclists' garments. Motorcycle riders often sustain multiple injuries in crashes since rider post-impact kinematics depend on several variables. This study proposes a newly inflatable safety system connected to the motorcycle by a cable. An airbag device with a mechanical triggering system is deployed when the cable detaches from its mounting clip. Airbag filling tests are performed to determine the mixing ratio of compressed gases with the severance of temperature. To estimate the airbag effectiveness to reduce riders' injuries, numerical analysis is performed using the finite element method. A comparative analysis (i.e., with and without the chosen device) was conducted to evaluate its protective efficacy. Prototype garments based on the proposed design have been created and have undergone sled tests. The proposed safety device could also be beneficial in accidents during other sports activities.

Effect of Vibration Suppression Device for GNSS/INS Integrated Navigation System Mounted on Self-Driving Vehicle

  • Park, Dong-Hyuk;Ahn, Sang-Hoon;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
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    • v.11 no.2
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    • pp.119-126
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    • 2022
  • This paper presents a method to reduce the vibration-induced noise effect of an inertial measurement device mounted on a self-driving vehicle. The inertial sensor used in the GNSS/INS integrated navigation system of a self-driving vehicle is fixed directly on the chassis of vehicle body so that its navigation output is affected by the vibration of the vehicle's engine, resulting in the degradation of the navigational performance. Therefore, these effects must be considered when mounting the inertial sensor. In order to solve this problem, this paper proposes to use an in-house manufactured vibration suppression device and analyzes its impact on reducing the vibration effect. Experimental test results in a static scenario show that the vibration-induced noise effect is more clearly observed in the lateral direction of the vehicle, but can be effectively suppressed by using the proposed vibration suppression device compared to the case without it. In addition, the dynamic positioning test scenario shows the position, speed, and posture errors are reduced to 74%, 67%, and 14% levels, respectively.

The Senstivitiy Analysis and Optimiaztion for the Development of the SMD Performance (표면 실장기(SMD) 성능 개선을 위한 민감도 해석 및 최적화)

  • Cha, In-Hyuk;Han, Chang-Soo;Kim, Jung-Duck
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.568-573
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    • 1996
  • In this paper, A design strategy of the Surface Mounting Device for accurate and better performance is studied. Analytical Modeling. Sensitivity analysis and optimization are being conducted. The ANSYS software and experimental method are used for verification of the analytical equations withboundary conditons. Through the sensitivity analysis, the most dominant design parameters can be detected. The optimum design parameters for performing given performing given perfomances are selected by using the optimization algorithm. The design tool based on the design strategy for the analysis, modeling and optimization will be useful for a re-design and better perofrmance of the SMD.

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Some living eukaryotes during and after scanning electron microscopy

  • Ki Woo Kim
    • Applied Microscopy
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    • v.51
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    • pp.16.1-16.7
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    • 2021
  • Electron microscopy (EM) is an essential imaging method in biological sciences. Since biological specimens are exposed to radiation and vacuum conditions during EM observations, they die due to chemical bond breakage and desiccation. However, some organisms belonging to the taxa of bacteria, fungi, plants, and animals (including beetles, ticks, and tardigrades) have been reported to survive hostile scanning EM (SEM) conditions since the onset of EM. The surviving organisms were observed (i) without chemical fixation, (ii) after mounting to a precooled cold stage, (iii) using cryo-SEM, or (iv) after coating with a thin polymer layer, respectively. Combined use of these techniques may provide a better condition for preservation and live imaging of multicellular organisms for a long time beyond live-cell EM.

The Sensitivity Analysis and Optimization for the Development of the SMD Performance (표면 실장기(SMD) 성능 개선을 위한 민감도 해석 및 최적화 방안)

  • Cha, In-Hyuk;Han, Chang-Soo;Kim, Jung-Duck
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.2
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    • pp.120-128
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    • 1997
  • In this paper, A design strategy of the Surface Mounting Device for accurate and better performance is studied. Analytical modeling, sensitivity analysis, and optimization are being conducted. The ANSYS software and experimental method are used for the verification of the analytical equations with boundary conditions. Through the sensitivity analysis, the most dominant design parameter can be detected. The optimum design parameters for improving the given performances are selected by using the optimiza- tion algorithm. The design tool based on the design strategy for the analysis, modeling, and optimization will be useful for are-design and better improving of the SMD.

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A Quantitative Separation Method of Structure and Air Borne Sound Power from the Enclosure (차음구조물의 방사음향파워로부터 고체 및 공기전파음향파워의 정량적인 분리법)

  • 김의간;강동림
    • Journal of Advanced Marine Engineering and Technology
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    • v.16 no.5
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    • pp.85-96
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    • 1992
  • Engine enclosures are widely adopted to reduce the noise emission in various fields of application. The radiated noise, which is due to the vibration of enclosure's outer surface, is composed of two kinds of sound power with different path of propagation. One is the 'structure-borne sound power' which stems from the engine's vibratory force applied to the structure of enclosure through the mounting parts of engine etc., while the other is the 'air-borne sound power' which is originated by the sound power radiated from the engine surface to the inner space of enclosure that should excite the vibration of enclosure from inside. In order to get a most efficient engine enclosure is required a profound consideration upon the above structure-borne and air-borne noise, since the guiding principle of countermeasure for each noise is quite different. The controlling of input vibration and its isolation are major subject for the structure-borne sound power and the specifications of absorbing member and damping panels are the major interests for the air-borne sound power. Hence it seems very efficient to separate the total sound power into two categories with a great accuracy when one think of further reduction of engine noise from the exciting enclosure, however, its separating methods have not been made clear for many years. Then author proposes a new practical separation method of two propagation path's contribution to the total radiation sound power for the enclosure under the engine operating condition.

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Design Optimization of Deep Groove Ball Bearing with Discrete Variables for High-Load Capacity (이산 설계변수를 포함하고 있는 깊은 홈 볼 베어링의 고부하용량 설계)

  • Yun, Gi-Chan;Jo, Yeong-Seok;Choe, Dong-Hun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.8 s.179
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    • pp.1940-1948
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    • 2000
  • A design method for maximizing fatigue life of the deep groove ball bearing without enlarging mounting space is proposed by using a genetic algorithm. The use of gradient-based optimization methods for the design of the bearing is restricted because this design problem is characterized by the presence of discrete design variables such as the number of balls and standard ball diameter. Therefore, the design problem of rolling element bearings is a constrained discrete optimization problem. A genetic algorithm using real coding is used to efficiently find the optimum discrete design values. To effectively deal with the design constraints, a ranking method is suggested for constructing a fitness function in the genetic algorithm. Constrains for manufacturing are applied in optimization scheme. Results obtained for several 63 series deep groove ball bearings demonstrated the effectiveness of the proposed design methodology by showing that the average basic dynamic capacities of optimally designed bearings increased about 9-34% compared with the standard ones.

Automatic Classification of SMD Packages using Neural Network (신경회로망을 이용한 SMD 패키지의 자동 분류)

  • Youn, SeungGeun;Lee, Youn Ae;Park, Tae Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.3
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    • pp.276-282
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    • 2015
  • This paper proposes a SMD (surface mounting device) classification method for the PCB assembly inspection machines. The package types of SMD components should be classified to create the job program of the inspection machine. In order to reduce the creation time of job program, we developed the automatic classification algorithm for the SMD packages. We identified the chip-type packages by color and edge distribution of the images. The input images are transformed into the HSI color model, and the binarized histroms are extracted for H and S spaces. Also the edges are extracted from the binarized image, and quantized histograms are obtained for horizontal and vertical direction. The neural network is then applied to classify the package types from the histogram inputs. The experimental results are presented to verify the usefulness of the proposed method.

Study on the Prediction Technique of Vehicle Performance Using Parameter Analysis (파라미터 해석을 통한 차량 성능 예측 기법 연구)

  • Kim, Ki-Chang;Kim, Chan-Mook;Kim, Jin-Taek
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.20 no.11
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    • pp.995-1000
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    • 2010
  • With the development of the auto industry, the automobile manufacturers demand to shorten development period and reduce the cost. Compared with the traditional method, applying the virtual prototype is more economical. This paper presents a method for parameters sensitivity analysis and optimizing the performance of vehicle noise and vibration. The existing design processes were repeatedly analyzed with a focus on vehicle performance to decide the design parameters of dimension, thickness, mounting type of body and chassis systems in the vehicle development period. This paper describes the prediction technique of vehicle performance using L18 orthogonal array layout, quality deviation analysis and parameter sensitivity analysis for robust design. This paper analyzed the performance correlation equation through the frequency and sensitivity database according to a design factor change. The new concept is that the performance prediction is possible without repeated activities of test and analysis. This paper described the parameter analysis applications such as bush dynamic stiffness and bush void direction of rear suspension. Design engineer could efficiently decide the design variable using parameter analysis database in early design stage. These improvements can reduce man hour and test development period as well as to achieve stable NVH performance.