• Title/Summary/Keyword: End mill

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Verification System for Cutting Condition of Ball-End Milling Process (볼엔드 밀링의 절삭조건 검증시스템)

  • Kim, Chan Bong;Yang, Min Yang
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.2
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    • pp.123-134
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    • 1995
  • In this paper, the fast force algorithm has been studied so that it is used to calculate cutting forces and to develope the NC verification system. The NC verification using the fast force algorithm can verify excessive cutting force which is the cause of deflection and breakage of tool, and adjust the feed rate and spindle speed.

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

  • 이기용;강명창;김정석
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.4
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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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Analysis of Cutting Edge Geometry Effect on Surface Roughness in Ball-end Milling Using the Taguchi Method (다구찌 방법을 통한 볼 엔드밀 절삭날 형상이 가공면 거칠기에 미치는 영향 분석)

  • Cho, Chul Yong;Ryu, Shi Hyoung
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.23 no.6
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    • pp.569-575
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    • 2014
  • In this study, the effect of cutting edge geometry, such as helix and rake angles, on surface roughness in ball-end milling is investigated by using the Taguchi method. A set of experiments adopting the $L_{27}(3^{13})$ design with an orthogonal array are conducted with special WC ball-end mills having different helix and rake angles. Analysis of variance (ANOVA) is performed to analyze the effects of tool geometry and machining parameters, such as cutting speed, feed per tooth, and depth of cut, on surface roughness. The ANOVA results reveal that helix and rake angles are critical factors affecting surface roughness; the interaction of helix angle and cutting speed is also important. This research can contribute to novel cutting edge designs of ball-end mills and optimization of cutting parameters.

A Study on the roll gap set-up at top-end in plate rolling using finite element analysis (유한요소해석을 이용한 후판 압연공정의 선단부 롤갭 설정연구)

  • Yim, H.S.;Jang, J.H.;Choi, M.K.;Seo, J.H.;Moon, Y.H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.05a
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    • pp.252-255
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    • 2009
  • The roll gap set-up in the finishing mill is one of the most important technologies in the hot plate rolling process. As the target thickness can be obtained by the correct set-up of the roll gap, improving the roll gap set-up technology is very critical for plate thickness accuracy. The main cause of thickness variation in hot plate mills is the non-uniform temperature distribution along the length of the slab. The objective of this study is to adjust the roll gap set-up for the thickness accuracy of plate in hot rolling process considering top-end temperature drop. Therefore this study has concentrated on determining the correct amounts of roll gap to compensate thickness variation due to top-end temperature drop. The off-line simulation of compensated roil gap significantly decreases top-end thickness variation.

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Machining Error Compensation for Tool Deflection in Micro Slot-Cutting Processes for Fabrication of Micro Shapes (미세형상 가공을 위한 Micro Slot 가공에서의 공구변형에 의한 가공오차 보상)

  • Sohn, Jong-In;Yoon, Gil-Sang;Seo, Tae-Il
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.2
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    • pp.121-127
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    • 2008
  • Micro end-milling has been becoming an important machining process to manufacture a number of small products such as micro-devices, bio-chips, micro-patterns and so on. Despite the importance of micro end-milling, many related researches have given grand efforts to micro end-milling phenomenon, for example, micro end-milling mechanism, cutting force modeling and machinability. This paper strongly concerned actual problem, micro tool deflection, which causes excessive machining errors on the workpiece. To solve this problem, machining error prediction method was proposed through a series of test micro cutting and analysis of their SEM images. An iterative algorithm was applied in order to obtain corrected tool path which allows reducing machining errors in spite of tool deflection. Experiments are carried out to validate the proposed approaches. In result, remarkable error reduction could be obtained.