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ADI 재의 드릴 가공 시 가공조건에 따른 절삭저항 및 AE신호 특성 (The cutting resistance and Ae signal characteristics on cutting condition in dilling for ADI materials)

  • 유경곤
    • 한국생산제조학회지
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    • 제7권6호
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    • pp.90-96
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    • 1998
  • The ductile cast iron is austempered at 300, 350 and 40$0^{\circ}C$ temperature in order to investigate the basic factors for monitoring drill wear in automatic production process, and cutting force and AE RMS signals are measured with changing cutting condition for ADI(Austempered Ductile Cast Iron) with different mechanical properties. The signals of cutting force were influenced by cutting speed and feedrate greatly. On the other hand AE RMS signals are influenced by cutting speed where as it is not related with feedrate. As the depth of drilling increases, cutting force shows a slow increase and the value of AE RMS increases until the range of h/d=4. But over the range it increases greatly due to an amount of chip discharge and friction with inner wall of drilling hole, etc. As the drill diameter increases at a constant depth of drilling. Cutting force increases linearly, but the level of AE RMS does not increases linearly due to circumferential velocity and great influence of h/d.

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ADI재의 드릴가공시 절삭저항 및 AE신호에 의한 공구마멸상해의 검출 (Monitoring of Tool Wear Condition by Cutting Resistance and AE Signal in Drilling ADI Material.)

  • 유경곤;전태옥;박홍식
    • 한국정밀공학회지
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    • 제15권11호
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    • pp.32-38
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    • 1998
  • For the purpose of monitoring the abnormal state in proportion to cutting in automatic production process, the 3 kinds of specimens different from mechanical properties by austempering through temperature variation were manufactured, and the effects of tool wear on thrust and AE RMS was analyzed with sequential drilling in in-process. When the ADI specimens were drilled, the relationship of thrust and AE RMS with flank wear was studied through experiments, and it is confirmed that the reliable wear state is able to be monitored by using these signals. It was shown that thrust and AE RMS increased slowly till flank wear reached to V$_{B}$ = 0.25mm, and they increased steeply over the value. The effective tool exchange time was able to be pre-estimated by using this fact. It was validated that the tool breakage was able to be detected on the real time by monitoring in in-process.s.

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