• Title/Summary/Keyword: 급속 공구 이송장치

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Ultra Precision Machining Technique for Optical System Parts (초정밀 가공기를 활용한 광학계 부품 가공기술)

  • Yang, Sun-Choel;Kim, Sang-Hyuk;Huh, Myung-Sang;Chang, Ki-Soo;Park, Soon-Sub;Won, Jong-Ho;Kim, Geon-Hee
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.2
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    • pp.13-19
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    • 2012
  • Ultra Precision Machining Techniques, such as manufacturing Micro Lens Array(MLA), off-axis mirror, $F-{\theta}$ lens for laser printer, are achieved, based on technologies in consequence of development of modern high-precision machining mechanism. Above all, FTS(Fast Tool Servo) and STS(Slow Tool Servo) are more innovative technologies for reducing time and development costs. In this paper, it is described that MLA machining technique by FTS, off-axis mirror machining technique by STS, optics for observing space, and development of infrared aspheric lens for a thermal imaging microscope.

A Detection and Stabilization Method for CNC Tool Vibration using Acoustic Sensor (음향센서를 활용한 CNC 공구떨림 감지 및 안정화 기법)

  • Kim, Jung-Jun;Cho, Gi-Hwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.2
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    • pp.120-126
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    • 2019
  • Recently, there is an increasing need for highly precise processing with the rapid development of precision machinery, electrical and electronics, and semiconductor industries. Cutting machine control relies on the operator's sense and experience in tradition, but it has been greatly enhanced by the adoption of CNC(Computerized Numeric Controller). In addition, cutting dynamics technology has been paid attention to reflect the operating state of machine in real time. This paper presents a method to detect and stabilize tool vibration by attaching an acoustic sensor to a CNC machine. The sensed acoustic data is synchronized with the tool position and the abnormal vibration frequency is separated from the collected acoustic frequency, then analyzed to detect the tool vibration. Also the reliability the tool vibration detection and stabilization is improved by applying the cutting dynamic method. The proposed method is analyzed and evaluated in terms of the surface roughness.