• Title/Summary/Keyword: Tools

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신경망 모델을 이용한 밀링공구의 이상진단에관한 연구

  • 이상석;김희술
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.04b
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    • pp.71-75
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    • 1993
  • The application of artificial neural network forcondition monitoring and diagnosis of milling tools was introduced. To detect the conditions of milling tools, the monitoring wywtem consists of three phases: "preparation phase", "learning phase", "production phase". The conditions of milling tools were categorized into the three states. "normal", "warning", "abnormal". The dectection of tool condition, in this paper, could be successfully performed by monitoring the variation of power spectrum on Y dirctional cutting force.

A Study on Reducing Profile Error of Multi Spindle Control in NC Machine Tools (NC 공작기계(工作機械) 동시다축제어(同時多軸制御)에서의 오차 저감)

  • Park, Jong-Bong
    • Journal of the Korean Society of Industry Convergence
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    • v.3 no.2
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    • pp.115-121
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    • 2000
  • This paper presents reducing method of profile error on a mechanical tuning for multi-spindle control of NC machine tools. To reduce the profile error in the feed drive system, it is useful to adopt same transfer function of multi spindle machine tools. By selecting the correction vector of servo rigidity and natural vibration on JK map, multi spindle control can be tuned by mechanical parameters with small profile error.

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Tool life in Metal Forming Processes (소성가공에 있어서의 금형수명)

  • 최재찬;김병민
    • Transactions of Materials Processing
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    • v.3 no.2
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    • pp.147-155
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    • 1994
  • The service life of tools in metal forming technology is to a large extent limited by wear and fatigue fracture of the active elements. This presents a basic request for tool cost minimization and reduction of extensive machine down time, caused by premature tool failure. Currents developments are dominated by steps to reduce the causes of tool failure. A main problem of forming technology remains the insufficient reliability of tools due to a large and incalculable life time fluctuation. Only a systematic investigation of the failure mechanisms and operational loading of tools can lead to future improvements in tool layout, that is optimization of tool usage.

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Application of Electrical Linear Motors to Machine Tools (전기선형모터의 공작기계에의 적용)

  • 은인웅;정원지;이춘만;최영휴
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.450-453
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    • 2001
  • Linear motor is characterized by its high velocity, high acceleration and good positioning accuracy. In recent years, linear motor is often used as a fast feed mechanism for high-speed machine tools. For the effective application of linear motors to machine tools, many demands on machine conceptions must be fulfilled. In this paper, some important construction concepts such as bending deformation of machine table, frictional force on the linear guidance and thermal behavior of linear motors are presented.

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Inference Mechanisms for Configuration Design Expert System of Machine Tools (공작기계 구조형태계 설계전문가 시스템을 위한 추론 메커니즘)

  • 박지형;강민형;차주헌;박면웅
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.5
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    • pp.161-166
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    • 1998
  • As a part of the configuration design expert system of machine tools, inference mechanisms are constructed in this paper. In addition to procedural inference, the method of multivariable inference is considered as an efficient approach to deal with the cases of highly coupled condition. We propose a generalized multi-variable inference procedure. The procedure is applied to the type selection module of the configuration design expert system of machine tools in order to demonstrate the efficiency and validity.

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An Intelligent Measuring and inspection System On the Machine Tools (온더머신 지능형 측정 및 검사시스템)

  • 김경돈
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1996.10a
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    • pp.101-106
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    • 1996
  • Interactive Measuring part Program Generating Tools (IMPPGT) realized on the FANUC 15MA using touch trigger probes and interactive macro functions os the CNC were developed for an intelligent measuring and inspection systems on the machine tools. Menu driven measuring and inspection functions of the IMPPGT were studied and implemented on the CNC through the macro executer and ROM writer. In order to automate measurement and inspection procedures in machine shops measuring G Code system was also proposed. Using the developed measuring G Code system on the machine tool untended measurement and inspection operation was able to be realized in FMS lines.

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Visualizer: An Interactive Execution Tool for Java Programs

  • Kim, Hyung-Rok;Kim, Yong-Seok
    • Journal of Industrial Technology
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    • v.26 no.B
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    • pp.215-220
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    • 2006
  • Effective use of debugging in computer science education is a topic that has received little attention. Existing tools either are too overwhelming for the novice or are too basic and inflexible. Furthermore, the integration of the debugger into complex IDEs have unfamiliar debuggers from students, resulting in a harmful proliferation of console I/O. In this paper, a new stand-alone educational debugging tool is presented, with simple but powerful tools for easily observing and modifying program execution state. This tool is analyzed from an user perspective, and is compared with existing tools.

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Diamond Film Synthesis by MWCVD and Its Application to Cutting Tools (MWCVD에 의한 다이아몬드 필름의 합성과 절삭 공구에의 응용)

  • 서문규;김윤수
    • Journal of the Korean Ceramic Society
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    • v.30 no.11
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    • pp.979-985
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    • 1993
  • Diamond films were synthesized using CH4-H2-Ar mixture gases by MWCVD, and cutting ability was tested after brazing them onto WC tools. Growth rates were in the range of 0.5~10${\mu}{\textrm}{m}$/hr depending on the deposition conditions, and diamond films with thickness of 100~300${\mu}{\textrm}{m}$ were obtained. Diamond tools brazed by RF induction method showed an enhanced cutting ability in the cutting test of Si single crystal rod.

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Comparison of Machine Learning Tools for Mobile Application

  • Lee, Yo-Seob
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.360-370
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    • 2022
  • Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

PRODUCTION AND MACHINABILITY OF SiCp-REINFORCED AL-2014 ALLOY MATRIX COMPOSITES

  • Ciftci, I.;Sahin, Y.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2002.10b
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    • pp.313-314
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    • 2002
  • SiCp-reinforced metal matrix composites (MMCs) containing 8 wt % and 16 wt % of $SiC_p-reinforced$ with 30 and $45\;{\mu}m$ in sizes were prepared by a melt stirring-squeeze casting technique. Microstructural observation showed that particle distributions were reasonably well. Turning experiments were carried out on the composites using uncoated and triple-layer coated carbide tools at various cutting speeds under a constant feed rate and depth of cut. Coated tools indicated better performance than uncoated tools for all the materials while the poor surface finish was obtained for coated tools.

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