• Title/Summary/Keyword: 연속형칩

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Chip Breaking Prediction Using AE Signal (AE신호에 의한 칩 절단성 예측)

  • 최원식
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.4
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    • pp.61-67
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    • 1999
  • In turning the chip may be produced in the form of continuous chip or discontinuous one. Continuous chips produced at high speed machining may hit the newly cut workpiece surface and adversely affect the appearance of the surface finish and may interfere with tool and sometimes induce tool fracture. In this study relationship between AE signal and chip form was experimentally investigated, The experimental results show that types of chip form are possible to be classified from the AE signal using fuzzy logic.

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The Prediction and Classification of the Chip Fomation using Cutting Force (절삭력에 의한 칩의 형상분류와 칩형상 예측)

  • 최원식
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.2
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    • pp.40-46
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    • 1998
  • In order to achieve high flexibility in manufacture, chip control is one of the most serious problems at present. The continuous type chip (uncontrolled chip), which interrupts the normal cutting process and damages the operator, tool and workpiece have a higher force ratio. while the controlled chip which is 6 or 9 type and C type, has the values of the force ratio below 0.6 The chips were classified by 4 types. in chip formation and by described chip history during the cutting process. Finally, the feasibility of utilizing force ratios in chip control will be pointed out while comparing generated force signals during the cutting process.

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Assessment of Cutting Performance Using AE Sensor in Turning (선삭에서 AE센서를 이용한 절삭성 평가)

  • Choi, Won-Sik
    • Journal of Sensor Science and Technology
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    • v.8 no.6
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    • pp.469-475
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    • 1999
  • The chips may be produced in the form of either broken chips or unbroken chips in turning process. The unbroken chips are dangerous to the operator and difficult to handle at high speed machining. The signal of Acoustic Emission is related to cutting conditions, tool materials, test conditions and tool geometry in turning. The relationship between AE signal and chip formation was experimentally investigated. The experimental results show that two types of chip formations are possible to classify from the statistical analysis of the amplitude of AE signal. The AE-sensor could be used to monitor the chip condition in turning.

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