• 제목/요약/키워드: milling tool

검색결과 681건 처리시간 0.031초

정면밀링 가공시 실시간 공구파손검출에 관한 실험적 연구 (An Experimental Study on the Real-Time Tool Breakage Detection in teh Face Milling)

  • 김영일;사승윤;최영규;유봉환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1994년도 추계학술대회 논문집
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    • pp.9-14
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    • 1994
  • The modern CNC machine require increasingly an exact monitoring and control of cutting process. They are to make final taret which construct full automation factories as unmanned system. In this study, we decided that we develop new techique to monitor and detect tool breakage on the machining operation using face milling machine with multi-point throwaway tips. The technology in which the tool is illuminated by an beam of Laser is used by image of tool fracture through CCD camera.

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신경회로망을 이용한 밀링 공정의 진동 예측 (Vibration Prediction in Mill Process by Using Neural Network)

  • 이신영
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 춘계학술대회 논문집
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    • pp.272-277
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    • 2003
  • In order to predict vibration during end-milling process, the cutting dynamics was modelled by using neural network and combined with structural dynamics by considering dynamic cutting states. Specific cutting constants of the cutting dynamics model were obtained by averaging cutting forces and tool diameter, cutting speed, feed, axial depth radial depth were considered as machining factors. Cutting farces by test and by neural network simulation were compared and the vibration during end-milling was simulated.

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엔드밀 밀링공구의 가공특성검출 (Machining Characteristics Detection of Endmill Milling Tool)

  • 맹민재;조성산;정준기
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.678-682
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    • 1996
  • Acoustic emission(AE) is monitored during end milling with a sensor attached to the cutting fluid discharge nozzle. Cutting forces are also measured and compared with the AE signals to examine the reliability of the AE signals. It is demonstrated that the AE signals provide reliable informations about the cutting processes and tool states. Moreover, edge chipping and fracture of tools can be successfully detected using both the AE signals and cutting forces.

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밀링작업에서 보조장치를 이용한 자유곡면의 표면거칠기 향상에 관한 연구 (A Study on the Improvement of Sculptured Surface Topography in Milling Operation by using tertiary Motion Attachment)

  • 홍민성
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1996년도 춘계학술대회 논문집
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    • pp.149-154
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    • 1996
  • The applicability of a new method, termed the whirling motion concept, for the iprovement of the surface finish in milling three-dimensional sculptured surfaces has been investigated. A method for implementing this concept on conventional NC machines that utilize a suitably configured attachment has been proposed. The tool path equation for the ball-end milling process, based on the Surface-Shaping system, has been obtained. Both results of the computer simulation and the experiment verified the computer simulation and the experiment verified the proposed approach.

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밀링 공정시 공구 파손 검출 (I) -제1편 : 공구 파손 지수의 도출- (Tool Fracture Detection in Milling Process (I) -Part 1 : Development of Tool Fracture Index-)

  • 김기대;오영탁;주종남
    • 한국정밀공학회지
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    • 제15권5호
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    • pp.100-109
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    • 1998
  • In order to increase productivity through unmanned machining in CNC milling process, in-process tool fracture detection is required. In this paper, a new algorithm for tool fracture detection using cutting load variations was developed. For this purpose, developed were tool condition vector which is dimensionless indicator of cutting load and tool fracture index (TFI) which represents magnitude of tool fracture. Through cutting force simulation, tool fracture index was shown to be independent of tool run-outs and cutting condition variations. Using tool fracture index, the ratio of the tool fracture to feed per tooth could be indentified.

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밀링시 공구 파손 검출을 위한 공구 파손 지수의 도출 (Development of Tool Fracture Index for Detection of Tool Fracture in Milling Process)

  • 김기대;오영탁;주종남
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 춘계학술대회 논문집
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    • pp.881-888
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    • 1997
  • A new algorithm for detection of tool fracture in milling process was developed. The variation of the peak-to-valley value of cutting load was used in this algorithm. Various kinds of vectors representing the condition of tool, such as tool condition vector, reference tool condition vector, tool condition variation vector were defined. Using these vectors, tool fracture index which represents the magnitude of tool fracture and is independent of tool run-outs is developed. Small and large tool fracture and chipping under various cutting condition could be detected using proposed tool fracture index, which was proved with cutting force model and experiments.

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