• 대한기계학회논문집
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• 제12권5호
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• pp.1035-1042
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• 1988

본 연구에서는 단순절삭의 특성과 관련된 신호처리 방법을 검토하고, 선삭의 경우와 달리 제기되는 문제점중의 하나인 센서의 부착위치를 예비실험을 통하여 결정 하며, 공구마멸의 진전에 따른 AE신호의 특성변화를 조사하여 공구마멸 자동감지의 기 초가 되는 공구마멸의 점진적 증가에 따른 AE신호의 특성변화를 관찰하고자 한다. 특히 절삭조건 즉 이송량, 절석깊이, 절삭속도, 그리고 정착된 인서트의 수가 AE신호 의 특성에 미치는 영향을 각각 조사하여 절삭조건의 변화에 따른 AE신호의 변화경향을 살펴보고자 한다.

• 대한기계학회논문집
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• 제12권5호
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• pp.1055-1062
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• 1988

본 연구에서는 역학모델을 이용해 공구마멸 특성을 절삭속뿐만 아니라 공구와 유리섬유의 접촉길이에 대해서도 논하고, 이 결과와 실험결과를 대비 검토하였다. 또 몇 가지 공구재종으로 절삭성능을 측정하였다.

• 대한기계학회논문집
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• 제14권1호
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• pp.37-42
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• 1990

본 연구에서는 수직 밀링에서 탄소섬유 에폭시 복합재료를 절삭할 경우 절삭 조건에 따른 공구마멸 형태를 조사하였으며, 여유면 마멸량을 측정하여 Taylor 지수를 구하였다. 또한 절삭조건 및 측정 방향에 따른 표면거칠기를 조사하여 탄소섬유 에 폭시 복합재료의 가공특성을 조사하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1991년도 추계학술대회 논문집
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• pp.38-42
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• 1991

Super Duralumin (A2024 - T3)은 가볍고 내식성이 양호할 뿐만 아니라, 석출물($CuAl_2$, $Mg_2$Si)에 의한 시효 경화로 인하여 고강도의 성질을 가지고 있으므로 구조용재, 반공기 및 운반기에 널리 사용되고 있지만, 절삭가공에서 많은 문제점을 내포하고 있다. 따라서 이러한 문제점에 대한 절삭성 향상이 절실히 요구되고 있는 설정이다. 일반적으로 피삭성을 검토하는 경우 철강재료는 공구마멸에 중점을 두지만, Al합금에 있어서는 공구마멸보다는 가공면의 양부를 중요시한다. 이것은 Al이 연질재이므로 절삭시 표면층에 유동이 생겨 양호한 절삭가공면을 얻기 어렵기 때문이다.(중략)

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.114-118
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• 1996

Evaluation of cutting condition is one of the most important aspect to improve productivity and quality. In this study, the wear and cutting characteristics(cutting force, acoustic emission signal and surface roughness) of ceramic cutting tool for hardened die material(SKD11) were investigated by experiment. Flank wear on relief face of tool was occurred more dominant than crater wear on rake face. Experiments were performed under the various cutting condition.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 추계학술대회 논문집
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• pp.69-73
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• 1996

Tool wear monitoring is very important aspect in metal cutting because tool wear effects quarity and precision of workpiece, tool life etc. In this study we detected force signal through tool dynamometer in turning and using it we conducted 6th AR modeling and fractal analysis. Finally the back-propagation model of the neural network is utilized to monitor tool wear and features are extracted through AR model and fractal analysis.

• 대한기계학회논문집
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• 제17권7호
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• pp.1783-1793
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• 1993

Pattern recognition technique using fuzzy c-means algorithm and multilayer perceptron was applied to classify tool wear states in turning. The tool wear states were categorized into the three regions 'Initial', 'Normal', 'Severe' wear. The root mean square(RMS) value of acoustic emission(AE) and current signal was used for the classification of tool wear states. The simulation results showed that a fuzzy c-means algorithm was better than the conventional pattern recognition techniques for classifying ambiguous informations. And normalized RMS signal can provide good results for classifying tool wear. In addition, a fuzzy c-means algorithm(success rate for tool wear classification : 87%) is more efficient than the multilayer perceptron(success rate for tool wear classification : 70%).

• 대한기계학회논문집
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• 제17권9호
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• pp.2214-2222
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• 1993

With the use of the NC machine tool, the unmanned production system has been growing recently in the manufacturing field. This there are problems with monitoring adequate tool fracture during the cutting process efficiently. This study was planned and carried out to discover a way of monitoring tool condition in NO-LINE systems during the cutting process. The acquisition of data in cutting force and tool wear has been made in the section examined, to extract the RMS value of the cutting force as specific factors in the cutting process. The fluctuation of the RMS characteristics. From the results, it has been shown that the fluctuation of the RMS values for the cutting force has a close relation to flank wear.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.135-139
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• 1996

In this a paper, a new method to measure the wear of the single crystal diamond(SCD) tool using image processing is presented. To increase resoultion, high magnifying lens is used and to enlarge the measurement field of view, a image region matching method is applied. The shape of SCD tool is modeled by mathematical analysis. Cutting edge chipping and wear are calculated by the model. This method is proved to be efficient in detecting a few micron of wear and cutting edge loss by chipping along the whole cutting edge.

• 한국생산제조학회지
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• 제6권3호
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• pp.36-43
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• 1997

In order to make unmanned machining systems with satisfactory performances, it is necessary to incorporate appropriate condition monitoring systems in the machining workstations to provide the required intelligence of the expert. This paper deals with condition monitoring for tool wear and breakage during turning operation. Developing economic sensing and identification methods for turning processes, sound pressure measurement and digital signal processing technique are proposed. The validity of the proposed system is confirmed through the large number of cutting tests.