• 제목/요약/키워드: 연삭동력

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음향방출과 동력 신호에 의한 인공지능형 연삭상태 진단 (Intelligent Diagnosis of Grinding State Using AE and Power Signals)

  • 곽재섭;하만경
    • 동력기계공학회지
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    • 제6권2호
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    • pp.60-67
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    • 2002
  • 연삭가공은 나노스케일(Nano-scale)의 미소한 입자 절삭날을 이용한 가공으로, 공작물의 표면을 경면(Mirror surface)으로 가공할 수 있어 제품의 최종 마무리공정으로 사용되어 왔다. 그러나 연삭공정에 있어서는 공구(연삭숫돌)의 수명이 다하거나 가공계(Machining system)가 불안정해지면 채터진동과 연삭버닝 등의 현상이 발생하여 가공물의 표면품위를 저하시키는 요인으로 작용하고 있다. 따라서 본 연구는 원통플른지 연삭공정을 대상으로 공작물에서 발생하는 음향방출 신호와 연삭기 주축 모터의 동력 신호를 연삭가공 중에 검출하고, 이를 신경회로망에 적용하여 연삭가공 상태를 진단하는 시스템을 구축하고, 그 성능을 평가하였다.

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기계구조용 Ceramics의 평면 연삭가공 특성에 관한 연구

  • 김호철;강재훈;김원일
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1992년도 추계학술대회 논문집
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    • pp.126-130
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    • 1992
  • 본 연구에서는 평면 연삭반에서 연삭조건을 다양하게 변화시키면서 레진본드계 다이아몬드 숫돌을 이용한 기계구조용 세라믹스의 연삭가공 특성을 제시하기 위한 실험을 하였다. 본 연구에서는 고경도 기계구조용 세라믹스로서 대표적인 질화규소, 탄화규소, 알루미나를 선택하여 평형 연삭숫돌을 이용한 플런지 평면연삭 및 트레버스 평면연삭의 실험을 수행하였다. 각 연삭조건에 따른 표면거칠기와 연삭저항, 연삭동력등을 측정하여 가공범위를 설정하고자 하였다. 한편, 이와 같은 실험을 통하여 고품위의 가공면을 구하였다.

연삭동력을 이용한 숫돌수명 판정 (A Study on Determinatino of Wheel Life Using Grinding Power in Cylinderical Grinding)

  • 이상태
    • 한국생산제조학회지
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    • 제9권4호
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    • pp.62-67
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    • 2000
  • The dressing time monitoring in cylindrical grinding is very important with respect to machining efficiency. Therefore, the purpose of this paper is to determine the wheel life by monitoring behavior of grinding power for WA, 19A and GC. For this purpose , we investigated indirectly the attritious wear of grain edge, the loading of grinding wheel and the breakage of grain through the grinding power and the surface roughness under various grinding conditions. From obtained the results, the relationship between the wheel life and the average sectional chip area is examined to guide for the determination of dressing time.

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숫돌 마멸량에 따른 연삭가공물의 표면특성 (The Surface Characteristics of Workpiece by Wear of Wheel)

  • 하만경;곽재섭;곽태경
    • 동력기계공학회지
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    • 제6권1호
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    • pp.50-54
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    • 2002
  • The surface roughness is one of important parameters to obtain the high quality of products in grinding process. In precision components, it's level must be limited to a certain range. This study evaluated experimentally grinding characteristics of workpieces in the surface grinding process. The grinding forces were obtained to compare with the grindability of workpieces such as STD11, STS304 and STB2. The surface roughnesses on various workpieces were measured according to increasing the feed and the depth of cut. In addition, the wear amount of wheels according to the number of grinding were obtained. Also the grinding wheel and the ground surface were observed with a microscopic instrument.

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동력전달요소에 따른 유정압 주축의 회전정도에 관한 연구

  • 류근우;정윤교;박천홍;이후상
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1992년도 추계학술대회 논문집
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    • pp.321-324
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    • 1992
  • 산업기술이 급속히 발전함에 따라 전자.통신기기, 광학기기 및 정밀 공작기기 부문에서 핵심부품의 치수, 형상 운동 정밀도가 높아지게 되었고, 이를 가공하기 위한 고정밀 가공기술이 요구되게 되었으며 특히, 고정밀 가공을 위해서 고정밀 주축이 필요하게 되었다. 따라서 본 연구에서는 연삭기와 같이 요구정도가 매우 높은 경우 동력전달요소로서 V벨트 및 평벨트가 회전정도에 미치는 영향을 실험적으로 검토하여 연삭기 주축 등에 응용되는 유정압 주축의 고정도화를 실현하기 위한 지침이 될 수 있는 정량적인 자료를 제시하는 것을 목적으로 하고 있다.

주속 200m/sec 영역에서의 원통플런지 연삭특성 (Characteristics of cylindrical plunge grinding in 200m/sec of grinding velocity)

  • 주종길;박규열;전종업
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.1047-1050
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    • 2002
  • In this paper, grinding characteristics of cylindrical plunge grinding in 200m/sec of grinding velocity was investigated by use of vitrified CBN wheel. From the experimental result, it was convinced that grinding power is decreased 2.5times and grinding efficiency is heightened 3times more according to increasing wheel velocity 80m/sec to 200m/sec And also, be expected to improvement of surface roughness and roundness by increasing the wheel velocity.

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인공지능형 연삭가공 트러블 인식.처리 시스템 개발 (Development of Intelligent Trouble-Shooting System for Grinding Operation)

  • 하만경;곽재섭;박정욱;윤문철;구양
    • 동력기계공학회지
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    • 제4권2호
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    • pp.25-30
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    • 2000
  • The grinding process is very complex and relates many parameters to control the process. As this reason, a theoretical analysis and a quantitative estimation of the grinding process has not been well established. In this study, the in-process monitoring system was suggested by applying the neural network for monitoring and shooting the malfunction of cylindrical plunge grinding process. This system used the power signals from the electric power meter. This neural network was composed of processing elements [4-(5-5)-3] with 4 identified power parameters. Because sensitivity is blunted some minute vibration components, the simulation result of this system has appeared about 10% erroneous recognition in the uncertain pattern and the average success rate of the trouble recognition was about 90%. Consequently, the developed system, which applied to the power signals, can be recognize enough to monitor the grinding process as in-process.

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초고속 원통 플런지연삭에서 공작물속도의 영향 (Effect of workpiece speed in ultra high speed cylindrical plunge grinding)

  • 주종길;박규열
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.961-964
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    • 1997
  • In this paper, grinding characteristics of ultra high speed cylindrical plunge grinding was investigated by use of vitrified CBN wheel. From the experimental result, it was convinced that grinding power is decreased according to the increase of wheel and workpiece speed due to changing of grinding mechanism which decreases depth of cut and length of contact curve according to increment of wheel speed. And also, stock removal reduction of each gram lead to improvement of surface roughness by increasing the wheel speed.

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신경회로망을 이용한 연삭가공의 트러블 인식에 관한 연구(I) (A Study on the Monitoring System of the Grinding Troubles Utilizing Neural Networks(l))

  • 하만경;곽재섭;송지복;김건회;김희술
    • 한국정밀공학회지
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    • 제13권9호
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    • pp.149-155
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    • 1996
  • Recent researches in the trouble monitoring system of grinding process have emphasized the use of deep knowledge. Such works include the monitoring and diagnostic systems for cylindrical grinding using sensors on chatter vibration and grinding burn during the process. But, since grinding operations are especially related with a lalrge amount of ambique parameters, it is effectively difficult to detect the grinding troubles occuring during the grinding process. In this paper, monitoring system for grinding utilizes the neural networks based on grinding power signatures. The monitoring system of grinding operations, which makes use of PDP neural networks, is presented. Then, the implementation results by computer simulations and experimental data with respect to chatter vibration and grinding burn are compared.

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탄소 섬유 강화 고분자 복합재의 연삭마모 특성에 관한 연구 (Study on Abrasive Wear Behaviour of a Carbon Fiber Composites)

  • 고성위;양병춘;김형진;김재동
    • 동력기계공학회지
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    • 제10권1호
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    • pp.46-51
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    • 2006
  • Present study was investigated the effect of the particle of the counterface of unidirectional carbon fiber reinforced composite. The friction coefficient of composite and the specific wear rate different sliding velocity were measured for this materials. The friction track of counterface was observed by an optical microscope and scanning electron microscope. There were insignificant effects of the specific wear rate under lower Sic abrasive particle, however it showed high effect on $30{\mu}m$ abrasive particle size. There were significant effects of friction and wear behavior of the fiber direction under 0.3m/s sliding speed. Major failure mechanisms can be classified such as microfracture, plowing, microcutting, cutting and cracking.

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