• Title/Summary/Keyword: Milled surface prediction

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Prediction of the Milled Surface Shapes Considering Tool Deflection Effects in Profile Milling Process (윤곽밀링시 공구변형에 의한 절삭표면 형상의 예측)

  • Seo, Tae-Il;Cho, Myeong-Woo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.7
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    • pp.203-209
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    • 1999
  • In this paper, we present the methods to predict the milled surface shapes in profile milling process. In the cutting process, tools are deflected due to the cutting forces varying with the imposed depth of cut and feedrate. Thus, the final shapes of the milled surface, generated by the nominal tool trajectory, are different from the required profile. In order to predict the milled surface shapes, we present two methods based on: (1) the deflected tool profile and (2) the trace of contact point between the tool and the workpiece. In the first method, we make an assumption that the milled surface corresponds to the deflected tool profile. In another method, we make we make an assumption that the milled surface is generated by the trace of the contact point between the cutting edge of the tool and workpiece. We present the surface generation process by calculating the trajectory of the contact points on the workpiece. Several simulations and experiments are performed to verify the proposed milled surface prediction methods.

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A Study on the Tool Interference Detection and Tool Path Correction in Compound Surface Machining (복합곡면 가공시 공구간섭의 탐지와 공구경로 수정에 관한 연구)

  • 조명우
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.6
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    • pp.105-112
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    • 1999
  • In this paper we deal with tool interference problem in the case of compound surface machining. A new tool interference detection and correction method based on the envelope of the tool path is suggested to identify and correct the tool interference - not only within the local path of tool movement, but also outside of the tool path. Therefore, the developed strategy can be used to check the possible interference in any region of the surface. In order to analyze quantitatively the milled surface error produced by the tool interference, improved surface prediction model is also suggested in cutting process by general cutters. The effectiveness of the proposed method is demonstrated through simulation study.

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