• Title/Summary/Keyword: 절삭 조건

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The Machinability Estimation Depending on Cutting Condition in A16061-T6 Turning Operations (A16061-T6의 선삭가공에서 가공조건에 따른 절삭특성 평가)

  • Choi, Tae-Kyu;Kim, Jeong-Suk;Park, Jin-Hyo;Lim, Hak-Jin
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.675-680
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    • 2009
  • Because of high specific stiffness, the aluminum alloy has been used for various industry field. Specially, the heat-treated aluminum alloy is difficult-to-machine material and machining test is necessary to evaluate and improve the machinability. In order to manufacture the functional part, appropriate cutting condition is selected by considering surface quality, machining time, and workpiece deflection by cutting force. In this investigation, the machinability of A16061-T6 is estimated by changing cutting conditions. The variable cutting conditions are cutting speed, depth of cutting, and feed rate. The estimation is done by analysis of cutting force, surface roughness, and surface shape according to the change of cutting conditions.

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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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Biodegradation of Cutting Oil by Pseudomonas aeruginosa KS47 (Pseudomonas aeruginosa KS47에 의한 절삭유의 생물학적 분해)

  • Kim, Lan-Hee;Lee, Sang-Seob
    • Korean Journal of Microbiology
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    • v.44 no.1
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    • pp.22-28
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    • 2008
  • Cutting oils are emulsionable fluids widely used in metal working processes. Their composition is mineral oil, water, and additives (fatty acids, surfactants, biocides, etc.) generating a toxic waste after a long use. Cutting oils also affect colour, taste and odour of water, making it undesirable for domestic and industrial uses. In these days, conventional treatment methods as evaporation, membrane separation or chemical separation have major disadvantages since they generate a concentrated stream that is more harmful than the original waste. In this study, our purpose is to reduce cutting oils by using biological treatment. Eighty one strains were isolated from cutting waste oil of industrial waste water sludge under aerobic conditions. Among these strains, KS47, which removed 90.4% cutting oil in 48 hr, was obtained by screening test under aerobic conditions(pH 7, $28^{\circ}C$). KS47 was identified as Pseudomonas aeruginosa according to morphological, physiological and biochemical properties, 16S rDNA sequence, and fatty acid analysis. P. aeruginosa KS47 could utilize cutting oil as carbon source. In batch test, we obtained optimal degradation conditions(1.5 g/L cell concentration, pH 7, and temperature $30^{\circ}C$). Under the optimal conditions, 1,060 mg/L cutting oil was removed 83.7% (74.1 mg/L/hr).

Electronic Catalogue Based Cutting Parameter Selection (전자 카탈로그식 절삭변수 선정의 자동화)

  • 이성열
    • Journal of Korea Society of Industrial Information Systems
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    • v.6 no.4
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    • pp.1-5
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    • 2001
  • This study presents an electronic catalogue based cutting parameter selection system using MS Access software. The proposed system has been designed to electronically select proper cutting conditions based on the stored data base. The existing approaches used in most small and medium sized companies are basically to use manufacturing engineer's experience or to find the recommended values from the manufacturing engineer handbook. These processes are often time consuming and inconsistent, especially when a new engineer is involved. Therefore, this study proposes a simple, yet quick and consistent electronic catalogue based cutting parameter selection method which uses MS Access in terms of programming and database implementation. Consequently, the proposed system could automatically generate the proper cutting conditions (feed, depth of cut, and cutting speed) as soon as the input data (proper information about the tool and work material) is given. Thanks to the simple structure and popularity of the MS Access, the engineer could be quickly accustomed to the system and easily modify/insert/delete the database if necessary.

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Application of Rotary Cutting Test for Performance Assessment of Tunnel Boring Extender (TBE의 굴착성능 평가를 위한 회전식 절삭시험의 적용)

  • Jeong, Hoyoung;Jeon, Seokwon;Cho, Jung-Woo
    • Tunnel and Underground Space
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    • v.32 no.4
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    • pp.243-253
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    • 2022
  • In this study, the cutting efficiency of TBE (Tunnel Boring Extender) was evaluated by using rotary cutting tester. In the rotary cutting test, a specimen which has a drilled hollow hole at the center was made of rock-like material. The specimen was cut by UDC (undercutting disc cutter) with spiral cutting path to simulate the cutting process of TBE. The cutting forces and specific energy were evaluated under different cutting conditions. The results indicated that the cutter forces of UDC linearly increased with the vertical and radial penetration depths. Among the three directional cutter forces, the normal force is larger than other force components. While the specific energy decreased with the two penetration depths, in particular, it was presumed that the specific energy was minimized at a certain value of the ratio of radial to vertical penetration depth.

A study on machine tool structural dynamics by digital correlation method (디지탈 상관법에 의한 공작기계 구조동력학에 대한 연구)

  • Lee, Jang Moo
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.5 no.2
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    • pp.139-150
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    • 1981
  • 미니컴퓨터와 디짓틸 상관법을 이용하녀 이상적인 아나로그 씨스템의 주파수 응답을 구하고 그 결과를 이론치와 비교하여 디짓탈 데이타 처리방법의 타당성을 검증하였다. 또한 이 방법을 실제로 복잡한 절삭중의 공작기계의 주파수응답 ㅕㄹ정에 적용하여 이때 야기되는 문제점을 검토하고 그 해결방안을 제시하였다. 또한 제 절삭 조건하에서 얻어진 주파수응답 함수로부터 공작기계의 아버 및 시편의 길이, 절삭 속도, 절삭깊이, 피이드율에 따른 공작기계 구조동력학의 변화를 규명하였다.

분해 모델링 기법을 이용한 절삭 영역 탐색 알고리즘

  • 김용현;고성림
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.05a
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    • pp.255-255
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    • 2004
  • 일반적으로 10,000 rpm 이상의 고속, 고이송 가공이 수행되는 고속가공에서 절삭력의 급격한 증가는 치명적인 결과를 초래할 수 있다. 따라서 실제 가공에 앞서 NC code에 존재하는 에러 유무를 검출하고, 주어진 절삭 조건의 적합성을 사전에 검사하는 NC 모의 가공 시스템의 중요성이 점점 강조되고 있는 실정이다. 절삭 영역의 탐색에는 일반적으로 Z-map 방식이 사용되고 있다. Z-map 방식은 자료구조의 단순성과 완결성으로 인하여 계산속돈가 라르고 오류 발생의 가능성이 상대적으로 낮기 때문에 상용 CAM 시스템은 대부분 이 방식을 기반으로 하고 있다.(중략)

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Assessment of Cutting Performance Using AE Sensor in Turning (선삭에서 AE센서를 이용한 절삭성 평가)

  • Choi, Won-Sik
    • Journal of Sensor Science and Technology
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    • v.8 no.6
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    • pp.469-475
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    • 1999
  • The chips may be produced in the form of either broken chips or unbroken chips in turning process. The unbroken chips are dangerous to the operator and difficult to handle at high speed machining. The signal of Acoustic Emission is related to cutting conditions, tool materials, test conditions and tool geometry in turning. The relationship between AE signal and chip formation was experimentally investigated. The experimental results show that two types of chip formations are possible to classify from the statistical analysis of the amplitude of AE signal. The AE-sensor could be used to monitor the chip condition in turning.

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A Study on the Vibration Parameters for High Speed Face Milling Machining (고속 정면밀링가공을 위한 진동 파라미터에 관한 연구)

  • Jang, Sung-Min;Lee, Seung-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4149-4155
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    • 2013
  • High speed machining for higher cutting speed and feedrate lead to a increase of surface quality and material removal rate. This paper presents a study of the influence of cutting conditions on the vibration characteristics obtained by machining with face milling cutter for high speed machining. In this paper, Taguchi experimental design method which is based on orthogonal array table was applied to study vibration characteristics with high speed face milling cutter. The experimental conditions used orthogonal array of $L_{27}(3^{13})$. In this work, design and analysis of experiments is conducted to study the effects of these parameters on the vibration by using the S/N ratio, analysis of variance. Four cutting parameters namely, feed rate, champer length, cutting speed, and depth of cut were optimized with consideration of vibration characteristics.

Prediction of the optimum cutting condition of TBM disc cutter in Korean granite by the linear cutting test (선형절삭시험에 의한 TBM 디스크 커터의 최적 절삭조건 예측)

  • Park, Gwan-In;Jang, Su-Ho;Choe, Sun-Uk;Jeon, Seok-Won
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 2006.03a
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    • pp.217-236
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    • 2006
  • In this study, the LCM was applied as the preliminary study for the cutterhead design of TBM and the drilling performance evaluation. The optimum cutting condition is obtained from the LCM tests and the effects of the design factors of IBM cutterhead, such as penetration depth and cutter spacing, on drilling performance are estimated. In this study, hence, to predict the accurate performance of TBM, instead of one-dimensional penetration depth applied in existing studies, three-dimensional cutting volume was quantified and measured. For this, the digital photogrammetry technique was applied to the LCM tests. Also, AUTODYN 2D was applied to investigate the applicability of the numerical analysis technique to simulate the cutting process of rock by the TBM disc cutter.

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