• Title/Summary/Keyword: 극저온절삭

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티타늄 선삭 공구수명 향상을 위한 공구냉각기술

  • Lee, Seok-U
    • Journal of the KSME
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    • v.56 no.7
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    • pp.51-54
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    • 2016
  • 이 글에서는 티타늄 합금의 절삭가공 시 공구수명을 향상시키기 위해 적용하는 액체질소를 사용한 극저온가공에서, 공구의 냉각 균일성을 향상시키기 위한 방법으로 극저온간접냉각(Indirect cryogenic cooling) 방식을 소개한다.

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The Prediction of the Cutting Characteristics in Cryogenic Cutting Using Neural Network (신경회로망을 이용한 극저온 절삭특성의 예측)

  • Kim, Chill-Su;Oh, Sueg-Young;Oh, Sun-Sae
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.10
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    • pp.62-70
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    • 1996
  • We experimented on cutting characteristics-cutting force, behavior of cutting temperature, surface roughness. chip thickness under low temperature, which generated by liquid nitrogen(77K). The work-pieces were freezed to-195 .deg. C and liquid nitrogen was also sprinkled on cutting area in order to decrease an experimental error of machining in low temperature. The workpiece was became to -195 .deg. C in5 minutes. In cooled condition surface roughness of workpiece was better than normal condition. In addition, we investigated the possibility that surface roughness of workpiece and cutting force can be predicted analyzing cutting conditions by the trained neural network.

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Searching and Prediction of Cutting Characteristics Using Cryogenic Tool (극저온 절삭공구에 의한 가공특성의 규명과 예측)

  • 오석영;정우섭;김칠수;이소영
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.4
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    • pp.36-43
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    • 1998
  • We experimented turning SCM440, called difficult-to-cut materials in general, using tungsten carbon tool(PIO) in order to elevate machinability by a new cutting method. The cutting tool designed and made to study was cooled to -17$0^{\circ}C$ in about 1 minute by liquid nitrogen. Then, we operated cryogenic cutting by cooling tool with liquid nitrogen and stuided the effect about cutting force, chip thickness, surface roughness, behavior of tool wear and cutting temperature. In addition, we investigated the possibility that sur face roughness of workpiece can be predicted analyzing cutting characteristics.

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Experimental Characterization of Turning Process of Titanium Alloy Using Cryogenic Cooling and Nanofluid Minimum Quantity Lubrication (극저온 냉각 및 나노유체 극미량 윤활을 적용한 티타늄 합금의 선반 절삭가공 특성에 관한 연구)

  • Kim, Jin Woo;Kim, Jung Sub;Lee, Sang Won
    • Journal of the Korean Society for Precision Engineering
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    • v.34 no.3
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    • pp.185-189
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    • 2017
  • Recently, titanium alloys have been widely used in aerospace, biomedical engineering, and military industries due to their high strength to weight ratio and corrosion resistance. However, it is well known that titanium alloys are difficult-to-cut materials because of a poor machinability characteristic caused by low thermal conductivity, chemical reactivity with all tool materials at high temperature, and high hardness. To improve the machinability of titanium alloys, cryogenic cooling with LN2 (Liquid Nitrogen) and nanofluid MQL (Minimum Quantity Lubrication) technologies have been studied while turning a Ti-6Al-4V alloy. For the analysis of turning process characteristics, the cutting force, the coefficient of friction, and the surface roughness are measured and analyzed according to varying lubrication and cooling conditions. The experimental results show that combined cryogenic cooling and nanofluid MQL significantly reduces the cutting forces, coefficients of friction and surface roughness when compared to wet condition during the turning process of Ti-6Al-4V.

Precision Hard Turning with Cryogenic Cooling (액화질소를 이용한 고정도 하드 터닝)

  • 박영우;김기수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.1048-1051
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    • 2001
  • This paper presents an analytical and experimental study of a cryogenic machining for precision hard turning. A cryogenic circulation system is designed and mounted on the top of the tool insert. The machining process used is facing operation on a CNC turning center with dry and cryogenic conditions. The tool temperature and cutting forces are measured by the K-type thermocouple and by a three-component Kistler dynamometer, respectively. Both data are fed into the data acquisition program through an A/D card. Surface roughness and form accuracy of the machined surface are measured by WYKO NT2000. It is also found that surface roughness and form accuracy with cryogenic cooling are better than those with no coolant.

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A Study on the Cutting Characteristics of SCM440, SNCM21, STS 304 in Cryogenic Cutting(1st Report) (난삭재의 극저온절삭에서의 절삭 특성에 관한 연구)

  • Kim, Chill-Su;Oh, Sun-Sae;Lim, Young-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.1
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    • pp.44-53
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    • 1994
  • We experimented on cutting characteristics-cutting force, behavior of cutting temprature, surface foughness, behavior of chips-under low tempdeature, which generated by liquid nitrogen (77K). The workpieces were freezed to -195 .deg. C and liquid nitrogen was also sprinkled on cutting area in order to increase the efficiency of machining in low temperature. The workpiece was became to -195 .deg. C in 5 minutes, and cutting temperature in CC was lower about 170 .deg. C than NC. The cutting force trended to increase slighty in cooled cutting, but chip thickness was decreased, shear angle was however increased. The form of chips was in good conditions of long or short tubular chips in CC. In CC surface roughness of workpiece was better than NC. In NC surface hardness of chips trended to increase according to increasing of cutting speed, but in CC it trended to decrease. The power spectrum of vertical cutting force trended to increase according to increasing of feed, and in CC it was higher than NC.

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A Study on the Machinability of Ceramics by Low Temperature Cooling Diamond Tool (다이아몬드공구 내부 냉각법에 의한 세라믹스의 피삭성에 관한 연구)

  • Kim, Jeong-Du
    • Tribology and Lubricants
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    • v.6 no.2
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    • pp.50-59
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    • 1990
  • 일잔적으로 세라믹재료는 강도, 내식성, 내열성, 내마모성의 성질 등이 우수하여 신소재로서의 응용폭이 점점 확대되고 있으나, 가공성이 난삭재로 피삭성의 개발이 시급한 과제로 대두되고 있다. 본 연구에서는 가공 중 절삭열을 억제시키는 방안으로 극저온 내부 냉각공구시스템을 제작하고, 냉매로 액화질소를 순환 공급하면서 이때 난삭재인 세라믹 가공의 피삭성 향상의 가능성을 실험적으로 검토하였다.

Study on Characteristics of Cryogenic Machining Process of Titanium Alloy at a Low Cutting Speed (티타늄 합금 소재 저속 영역 극저온 가공 특성 연구)

  • Kim, Do Young;Kim, Dong Min;Park, Hyung Wook
    • Journal of the Korean Society for Precision Engineering
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    • v.34 no.4
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    • pp.237-241
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    • 2017
  • Cryogenic machining uses liquid nitrogen (LN2) as a coolant. This machining process can reduce the cutting temperature and increase tool life. Titanium alloys have been widely used in the aerospace and automobile industries because of their high strength-to-weight ratio. However, they are difficult to machine because of their poor thermal properties, which reduce tool life. In this study, we applied cryogenic machining to titanium alloys. Orthogonal cutting experiments were performed at a low cutting speed (1.2 - 2.1 m/min) in three cooling conditions: dry, cryogenic, and cryogenic plus heat. Cutting force and friction coefficients were observed to evaluate the machining characteristics for each cooling condition. For the cryogenic condition, cutting force and friction coefficients increased, but decreased for the cryogenic plus heat condition.

Neural network for Prediction of the Cutting Characteristies in Cryogenic Cutting (극저온 절삭에서 절삭특성예측을 위한 신경회로망의 적용)

  • 김칠수;오석영;임영호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.32-37
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    • 1994
  • We experimented on cutting characteristics - cutting force, behavior of cutting temperature, surface roughness, behavior of chips-under low temperature,which generated by liquid nitrogen(77K). The workpieces were freezed to -195 .deg. C and liquid nitrogen was also sprinkled on cutting area in order to increase the efficiency of machining in low temperature. The workpiece was became to -195 .deg. C in 5 minutes. In cooled condition(CC) surface roughness of workpiece was better than normal condition(NC). In addition, we investigated the possibility that surface roughness of workpiece and shear angle can be predicted analyzing cutting condititions by the trained neural network.

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