• 제목/요약/키워드: Ram head module

검색결과 5건 처리시간 0.027초

다기능 5축 복합가공기 램 헤드 모듈의 동특성 분석 (Dynamic Characteristics Analysis of a 5-Axes Multi-tasking Machine Tool by using F.E.M and Impulse Hammer Test)

  • 김성민;장성현;김실근;하종식;최영휴
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회A
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    • pp.1590-1594
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    • 2007
  • This paper describes a case study on dynamic characteristics analysis of a 5-axis multi-tasking machine tool of ram-head typed. Natural frequency and corresponding vibration modes of the machine tool structure were obtained by using both FEM modal analysis and an experimental modal test(impulse hammer test). Both the theoretical and experiment analysis results showed good agreement with each other. Finally, some discussion and review, from the view point of resonance vibration and/or mode coupled chatter, were made based on the analysis results.

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유한요소법과 가진시험법을 이용한 다기능 5축 복합가공기의 동특성 해석 및 동적 컴플라이언스 평가에 관한 연구 (A Study on Analysis of Dynamic Characteristics and Evaluation of Dynamic Compliance of a 5-Axis Multi-tasking Machine Tool by Using F.E.M and Exciter Test)

  • 장성현;최영휴;하종식
    • 한국공작기계학회논문집
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    • 제18권2호
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    • pp.162-169
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    • 2009
  • This paper describes a study on dynamic characteristics analysis and dynamic compliance evaluation of a 5-axis multi-tasking machine tool of ram-head type. Structural dynamics analysis and evaluation are necessary to machine tool design and development to secure good machine tool performance against tough and harsh machining conditions. In this study, natural frequencies and corresponding vibration modes of the machine tool structure were analyzed by using both F.E.M. modal analysis and impulse hammer test. Furthermore, dynamic compliance of the machine tool was analyzed by using F.E.M. and also measured by using a hydraulic exciter test. Both the theoretical analysis and experimental test results showed good agreement with each other.

PIV기법을 이용한 차량용 공조 시스템 내부유동에 대한 실험적 연구 (An experimental analysis of the fluid flow in an automobile HVAC system using a PIV technique)

  • 지호성;김보람;이상준
    • 한국가시화정보학회:학술대회논문집
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    • 한국가시화정보학회 2007년도 추계학술대회
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    • pp.92-96
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    • 2007
  • Internal flow characteristics for an automobile HVAC have been investigated using a high-resolution PIV technique. The PIV system consists of a 2-head Nd:YAG laser(125 mJ), a high-resolution CCD camera($2K\;{\times}\;2K$), optics and a synchronizer. An automobile HVAC module was used directly. Only the casing was remodeled transparently for capturing flow image and laser sheet beam illumination. Time-averaged velocity field were measured in three temperature control mode. For three temperature control modes, the internal flow characteristics for an automobile HVAC system were evaluated from PIV results..

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자동차 HVAC용 Blower Unit 내부 유동장의 PIV 계측 (PIV Measurement of Flow Inside of HVAC Blower Unit)

  • 지호성;김보람;이상준
    • 한국자동차공학회논문집
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    • 제15권5호
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    • pp.165-173
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    • 2007
  • Flow characteristics inside a blower unit of an automotive HVAC module were investigated experimentally using a high-resolution PIV technique. The PIV system consists of a 2-head Nd:YAG laser, a high-resolution CCD camera, optics and a synchronizer. The prototype siroco-fan with forward-curved blades was operated under the same condition of real car. The scroll casing was made transparently for capturing clear flow images. The time-averaged velocity fields were measured in three cross sections. Flow is accelerated with going toward the outer wall of scroll due to centrifugal force and large pressure gradient formed in the region between the fan and the outer casing wall. The presence of the cut-off region and diffusing duct of fan outlet influences largely the flow structure inside the blower unit.

뇌파기반 집중도 전송 및 BCI 적용에 관한 연구 (A Study on EEG based Concentration transmission and Brain Computer Interface Application)

  • 이충헌;권장우;김규동;이준오;홍준의;이동훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.155-156
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    • 2008
  • 본 연구는 두피에서 발생하는 EEG(electroencephalog ram)신호를 측정한 후 두뇌활동과 관련된 지표 중 집중도를 추출하여 집중도의 크기에 따라 하드웨어를 제어하는 집중도 무선전송 시스템을 구연하고자 하였다. 뇌파신호를 측정하여 집중도를 추출하기 위해 두피의 좌, 우 두 채널을 사용하였으며 Biopac의 MP-100과 EEG100C을 이용하여 뇌파신호 계측, 증폭 및 필터링을 하였다. 계측된 EEG 신호로부터 특정 주파수 대역 및 스펙트럼을 분석하기 위해서 LabVIEW 8.5를 이용하여 FFT(Fast Fourier Transformation) 처리를 하였다. 이를 통해 ${\alpha}$파, ${\beta}$파, ${\theta}$파, ${\delta}$파 주파수영역으로 분류한 후 집중도 추출 알고리즘을 적용하여 집중도 지표를 추출하였고 추출된 집중도 신호를 무선전송하여 BCI(Brain Computer Interface) 기술에 응용하고자 레고 자동차에 적응하여 보았다.

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