• 제목/요약/키워드: Mill Dynamic milling

검색결과 13건 처리시간 0.024초

Dynamic Milling에 의한 UO22분말 특성 변화가 밀도에 미치는 영향 (Effect of the UO2 Powder Characteristic Changes by Dynamic Milling on the Density)

  • 김동주;나상호;김연구;이영우;김용수
    • 한국세라믹학회지
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    • 제41권8호
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    • pp.588-592
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    • 2004
  • Dynamic Milling (DM) 방법에 의한 $UO_2$ 분말의 특성 변화가 밀도에 미치는 영향을 조사하였다 분쇄시간(0∼8시간)의 증가에 따라 분말입자의 크기는 감소하며 둥근 형태를 지녔으며, 비표면적과 O/U 비는 증가하였다. 이러한 특성 변화에 의해 성형밀도는 증가한 반면에, 소결밀도는 감소하는 경향을 보였다. 소결밀도의 감소는 분말 분쇄과정에서 야기된 $UO_2$ 분말의 O/U 비의 증가가 주된 영향을 미친 것으로 사료된다.

평판의 정면밀링 가공에서 발생하는 채터 (Chatter in Plate Milling with a Face Mill)

  • 이상민;이영수;주종남
    • 한국정밀공학회지
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    • 제21권5호
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    • pp.46-54
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    • 2004
  • A cutting force model predicting the dynamic force induced by the axial vibration of it plate in face milling is introduced. When a plate face is milled, deformation in tool axial direction is considerable. Therefore, cutting forces are affected by not only inner-outer modulation in feed direction but also by axial deformation. A PTP (peak-to-peak) diagram made by the simulated dynamic force model is evaluated. The stability of the face milling process such as the chatter outset, and the stable cutting region can be simply estimated. Simulation results are compared with that of experiment.

엔드밀 가공시 동적 절삭력 모델에 의한 절삭력 및 표면형상 예측 (The Prediction of Cutting Force and Surface Topography by Dynamic Force Model in End Milling)

  • 이기용;강명창;김정석
    • 한국정밀공학회지
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    • 제14권4호
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    • pp.38-45
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    • 1997
  • A new dynamic model for the cutting process inb the end milling process is developed. This model, which describes the dynamic response of the end mill, the chip load geometry including tool runout, the dependence of the cutting forces on the chip load, is used to predict the dynamic cutting force during the end milling process. In order to predict accurately cutting forces and tool vibration, the model which uses instantaneous specific cutting force, inclueds both regenerative effect and penetration effect, The model is verified through comparisons of model predicted cutting force with measured cutting force obtained from machining experiments.

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금형강의 앤드밀 가공시 동적모델에 의한 절삭력 예측

  • 이기용;강명창;김정석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1994년도 추계학술대회 논문집
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    • pp.49-54
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    • 1994
  • A dynamic model for the cutting process in the end milling process is developed. This model, which describes the dynamic response of the end mill, the chip load geometry including tool runout, the dependence of the cutting forces on the chip load, is used to predict the dynamic cutting force during the end milling process. In order to predict accurately cutting forces and tool vibration, the model, which uses instantaneous specific cutting force, includes both regenerative effect and penetration effect. The model is verified through comparisons of model predicted cutting force with measured cutting forces obtained from machining experiments.

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볼 엔드밀 경사면 가공의 동적 모델 (Dynamic Model in Ball End Milling of Inclined Surface)

  • 김성윤;김병희;주종남;이영수
    • 한국정밀공학회지
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    • 제23권3호
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    • pp.39-46
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    • 2006
  • In this work a dynamic cutting force model in ball end milling of inclined surface is introduced. To represent the complex cutting geometry in ball end milling of inclined surface, workpiece is modeled with Z-map method and cutting edges are divided into finite cutting edge elements. As tool rotates and vibrates, a finite cutting edge element makes two triangular sub-patches. Using the number of nodes in workpiece which are in the interior of sub-patches, instant average uncut chip thickness is derived. Instant dynamic cutting forces are computed with the chip thickness and cutting coefficients. The deformation of cutting tool induced by cutting farces is also computed. With iterative computation of these procedures, a dynamic cutting force model is generated. The model is verified with several experiments.

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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엔드밀을 이용한 기계가공에서 표면거칠기 제어를 위한 퍼지 모델 (Fuzzy Model for controlling of Surface Roughness using End-Mill in Machining)

  • 김흥배;이우영
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.69-73
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    • 2001
  • The dynamic characteristics of turning processes are complex, non-linear and time-varying. Consequently, the conventional techniques based on crisp mathematical model may not guarantee surface roughness regulation. This paper presents a fuzzy controller which can regulate surface roughness in milling process using end-mill under varying cutting condition. The fuzzy control rules are established from operator experience and expert knowledge about the process dynamics. regulation which increases productivity and tool life is achieved by adjusting feed-rate according to the variation of cutting conditions. The performance of the proposed controller is evaluated by cutting experiments in the converted CNC milling machine. The result of experiments show that the proposed fuzzy controller has a good surface roughness regulation capability in spite of the variation of cutting conditions.

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고속 엔드밀 가공시 동적 모델에 의한 표면형상 예측 (Prediction of Surface Topography by Dynamic Model in High Speed End Milling)

  • 이기용;하건호;강명창;이득우;김정석
    • 대한기계학회논문집A
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    • 제24권7호
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    • pp.1681-1688
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    • 2000
  • A dynamic model for the prediction of surface topography in high speed end milling process is developed. In this model the effect of tool runout, tool deflection and spindle vibration were taken in to account. An equivalent diameter of end mill is obtained by finite element method and tool deflection experiment. A modal parameter of machine tool is extracted by using frequency response function. The tool deflection, spindle vibration chip thickness and cutting force were calculated in dynamic cutting condition. The tooth pass is calculated at the current angular position for each point of contact between the tool and the workpiece. The new dynamic model for surface predition are compared with several investigated model. It is shown that new dynamic model is more effective to predict surface topography than other suggested models. In high speed end milling, the tool vibration has more effect on surface topography than the tool deflection.

음향주파수 분석에 의한 엔드밀의 마모상태 추정에 관한 연구 (A study on the Wear Estimation of End Mill Using Sound Frequency Analysis)

  • 조택동;이창희;손장영
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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    • pp.209-212
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    • 2002
  • The wear process of end mill is a so complicated process that a more reliable technique is required for the monitoring and controling the tool life and its performance. This research presents a new tool wear monitoring method based on the sound signal generated on the machining. The experiment carried out continuous-side-milling for 4 cases using the high-speed steel slot drill under wet condition. The sound pressure was measured at 0.5m from the cutting zone by a dynamic microphone, and was analyzed at frequency domain. The tooth passing frequency appears as a harmonics form, and end mill wear is related with the first harmonic. It can be concluded from the result that the tool wear is correlate with the intensity of the measured sound at tooth passing frequency estimation of end mill wear using sound is possible through frequency analysis at tooth passing frequency under the given circumstances.

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음향주파수 분석에 의한 엔드밀의 마모상태 추정에 관한 연구 (A Study on the Wear Estimation of End Mill Using Sound Frequency Analysis)

  • 이창희;조택동
    • 대한기계학회논문집A
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    • 제27권8호
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    • pp.1287-1294
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    • 2003
  • The wear process of end mill is so complicated process that a more reliable technique is required for the monitoring and controlling the tool life and its performance. This research presents a new tool wear monitoring method based on the sound signal generated on the machining. The experiment carried out continuous-side-milling for 4 cases using the high-speed-steel end mill under wet condition. The sound pressure was measured at 0.5m from the cutting zone by a dynamic microphone, and was analyzed at frequency domain. As the cutter impacts the workpiece surface, a situation of farced vibration arises in which the dominant forcing frequency is equal to the tooth passing frequency of the cutter. The tooth passing frequency appears as a harmonics form, and end mill flank wear is related with the first harmonic. It is possible to detect end . mill flank wear. This paper proposed the new method of the end mill wear detection.