• Title/Summary/Keyword: Detection of tool wear

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Fracture Detection of Milling Cutter Using Cutting Force and Acoustic Emission Signals (절삭력과 음향방출 신호를 이용한 밀링공구의 파손 검출)

  • Maeng, Min-Jae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.1
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    • pp.28-37
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    • 2004
  • An on-line monitoring system of endmill failure such as weal, chipping, and fracture is developed using AE, cutting force Characteristic variations of AE and cutting force signals due to endmill failure are identified as follows. When endmill fracture occurs, AE count rate shows a rapid Increase in conjunction with a subsequent decrease while a standard deviation of the principal cutting force Increases significantly. The increase of AE count rate precedes the Increase of standard deviation of principal cutting force. Chipping results in relatively small increase and decrease of AE count rate without any significant variation of the cutting force Gradual increase of AE count rate and mean principal cutting force are Identified to be related with the wear of cutter. A cutter fracture detection algorithm is developed based on the present results. The signals me normalized to enhance the applicability of the algorithm to Wide those of fresh cutters, and qualitative characteristics of AE signals encountered at the moment of fracture are employed. It is demonstrated that the algorithm can detect the cutter fracture successfully.

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A Study on the Dynamic Component of Cutting Force in Turning[1] -Recognition of Chip Flow by the Dynamic Cutting Force Component- (선삭가공에 있어서 절삭저항의 동적성분에 관한 연구 [I] -동적성분에 의한 Chip배출상태의 인식-)

  • Chung, Eui-Sik
    • Journal of the Korean Society for Precision Engineering
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    • v.5 no.1
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    • pp.84-93
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    • 1988
  • The on-line detection of the chip flow is one of the most important technologies in com- pletly automatic operation of machine tool, such as FMS and Unmanned Factories. This problem has been studied by many researchers, however, it is not solved as yet. For the recognition of chip flow in this study, the dynamic cutting force components due to the chip breaking were measured by dynamometer of piezo-electric type, and the frequency components of cutting force were also analyzed. From the measured results, the effect of cutting conditions and tool geometry on the dynamic cutting force component and chip formation were investigated in addition to the relationships between frequency of chip breaking (fB) and side serrated crack (fC) of chip. As a result, the following conclusions were obtaianed. 1) The chip formations have a large effect on the dynamic cutting force components. When chip breaking takes place, the dynamic cutting force component greatly increases, and the peridoic components appear, which correspond to maximum peak- frequency. 2) The crater wear of tool has a good effect on the chip control causing the chiup to be formed as upward-curl shape. In this case, the dymamic cutting force component greatly increases also 3) fB and fC of chip are closely corelated, and fC of chips has a large effect on the change of the situation of chip flow and dynamic cutting force component. 4) Under wide cutting conditions, the limit value (1.0 kgf) of dynamic cutting force component exists between the broken and continuous chips. Accordingly, this value is suitable for recognition of chip flow in on-line control of the cutting process.

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A Study on the Detection of Cutter Runout Magnitude in Milling (밀링가공에서의 커더 런 아웃량 검출에 관한 연구)

  • Hwang, J.;Chung, E. S.;Lee, K. Y.;Shin, S. C.;Nam-Gung, S.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.151-156
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    • 1995
  • This paper presents a methodology for real-time detecting and identifying the runout geometry of an end mill. Cutter runout is a common but undesirable phenomenon in multi-tooth machining such as end-milling process because it introduces variable chip loading to insert which results in a accelerated tool wear,amplification of force variation and hence enlargement vibration amplitude. Form understanding of chip load change kinematics, the analytical sutting force model was formulated as the angular domain convolution of three dynamic cutting force component functions. By virtue of the convolution integration property, the frequency domain expression of the total cutting forces can be given as the algebraic multiplication of the Fourier transforms of the local cutting forces and the chip width density of the cutter. Experimental study are presented to validata the analytical model. This study provides the in-process monitoring and compensation of dynamic cutter runout to improve machining tolerance tolerance and surface quality for industriql application.

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