• 제목/요약/키워드: Face-Milling

검색결과 124건 처리시간 0.023초

정면밀링 가공시 실시간 공구파손검출에 관한 실험적 연구 (An Experimental Study on the Real-Time Tool Breakage Detection in teh Face Milling)

  • 김영일;사승윤;최영규;유봉환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1994년도 추계학술대회 논문집
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    • pp.9-14
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    • 1994
  • The modern CNC machine require increasingly an exact monitoring and control of cutting process. They are to make final taret which construct full automation factories as unmanned system. In this study, we decided that we develop new techique to monitor and detect tool breakage on the machining operation using face milling machine with multi-point throwaway tips. The technology in which the tool is illuminated by an beam of Laser is used by image of tool fracture through CCD camera.

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

  • 장성민;이승일
    • 한국산학기술학회논문지
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    • 제14권9호
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    • pp.4149-4155
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    • 2013
  • 더 빠른 절삭속도와 이송속도를 위한 고속가공은 표면품위와 재료제거율의 증가를 초래한다. 이 논문은 고속가공을 위한 정면밀링커터를 사용한 가공에서 획득된 진동특성에 관한 절삭조건의 영향을 연구하였다. 이 논문에서, 직교배열 테이블에 기초한 다구찌 실험계획법은 고속 정면밀링커터를 사용한 진동특성을 연구하기 위해 적용되었다. 실험조건은 직교배열 $L_{27}(3^{13})$ 을 사용하였다. 실험의 계획과 분석은 S/N비(신호 대 잡음비)와 분산분석을 이용하여 진동에 관한 절삭조건의 영향을 연구하기 위해 수행되었다. 절삭 파라미터 즉 이송속도, 챔퍼길이, 절삭속도 그리고 절삭깊이는 진동 특성치를 고려하여 최적화 되었다.

절삭가공에 의한 금속 쾌속 시작품 제작기술 (The Manufacturing Technique of Metal Rapid Products by the Milling Process)

  • 신보성;최두선;이응숙;이동주;이종현
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 춘계학술대회 논문집
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    • pp.759-762
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    • 2000
  • In order to reduce lead-time and cost, recently the technology of Rapid Prototyping and Manufacturing (PR/M) has been used widely. So various RP/M methods have been developed and these systems commercialized several years ago. But we have carried out rapid product, such as sphere, by the milling process instead of RP system. in the case of sphere with three-dimensional shape. the machining method using conventional milling machine has resulted in some troubles because of its deformation and lack of stiffness which is due to usual work piece set up method. In this paper, the feasibility of milling process which is divided into two steps such as the-upper-and-1ower-face milling process using supporting material were investigated and suggested.

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정면밀링가공시 절삭조건 변화에 표면거칠기 특성에 관한 연구 (A Study on Characteristics of Surface Roughness by Cutting Condition Variation in Face Milling)

  • 김성일
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1997년도 추계학술대회 논문집
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    • pp.248-253
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    • 1997
  • The ideal surface roughness is obtained by tool geometry and feed rate in face milling. however actual surface roughness is affected by various factors such as cutting conditions. vibration and used tool. To improve the quality and productivity of the machining parts, lots of research on the evaluation of tool life and control of surface roughness has been required. Therefore, the width of flank wear, cutting force, and surface roughness are monitored to analyse the characteristics of surface roughness. This experimental investigation is mainly focused on the characteristics of surface roughness in multi-insert milling using TiN coated tool.

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정면밀링가공에서 인서트의 챔퍼각 변화에 의한 표면거칠기 향상 (Improvement of the Surface Roughness by Changing Chamfered Angle of the Insert in Face Milling)

  • 권원태;이성세
    • 한국정밀공학회지
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    • 제18권7호
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    • pp.155-160
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    • 2001
  • A milling process with 45 degree chamfered inserts produces a perfect flat surface only in theory. It is due to many unwanted factors including thermal effect, dynamic effect, the problem of the controller used and the problem of accuracy of the machine tool. In this study, introduced is a method to improve the surface roughness by redesigning of the chamfer angle of the insert, which traditionally has been 45 degree. First, the relationship between the fixed machine coordinate and the relative coordinate on the insert is derived. This transfer matrix is used to determine the new insert angle to maximize the flatness of the machined surface. A newly designed insert is manufactured, and used to carry out the experiment. It is proved that she insert designed by the proposed method produced a much flatter surface than a traditional one.

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칩브레이커 사용에 따른 밀링버의 생성특성 연구 (Burr Formation Characteristics due to Chip Breaker in Milling Process)

  • 황덕철;황준;우창기
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2001년도 춘계학술대회 논문집(한국공작기계학회)
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    • pp.78-82
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    • 2001
  • This paper presents the numerical analysis and experimental verification to know the metal cutting burr formation mechanism in face milling operation. Finite element method are applied to predict the 2-D burr formation process prediction. Face milling process are adjusted to analyze the characteristics of burr shapes according to various cutting conditions. The cutting parameters were investigated with cutting speed, feed rate, depth of cut. Through a few experiments, various burr types are classified according to its shape and properties.

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밀링가공시 버 형성 예측을 위한 Expert System 개발 (Development of Expert System for Burr Formation Prediction in Face Milling)

  • 고성림;김영진;고대철;한상우;이제열;안용진
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2000년도 춘계학술대회 논문집
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    • pp.717-720
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    • 2000
  • Burr makes troubles on manufacturing process due to of deburring cost, quality of products and automation. This paper described the results of experimental study on the influence of the cutting parameters on the formation of exit burrs in face milling. Using the results of experimental study, we classified the burr type and developed data bases to predict burr formation result. This program will be used to predict burr type and geometry at a specified location. Simulation results on deformation strain and temperature are also available. Also algorithm which calculate the exit angle is proposed.

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ART2 신경회로망을 이용한 밀링공정의 공구마모 진단 (Tool Wear Monitoring in Milling Operation Using ART2 Neural Network)

  • 윤선일;고태조;김희술
    • 한국정밀공학회지
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    • 제12권12호
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    • pp.120-129
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    • 1995
  • This study introduces a tool wear monitoring technology in face milling operation comprised of an unsupervised neural network. The monitoring system employs two types of sensor signal such as cutting force and acceleration in sensory detection state. The RMS value and band frequency energy of the sensor signals are calculated for te input patterns of neural network. ART2 neural network, which is capable of self organizing without supervised learning, is used for clustering of tool wear states. The experimental results show that tool wear can be effectively detected under various cutting conditions without prior knowledge of cutting processes.

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STS 316L과 316LN 강의 고온 기계적 특성 및 가공 변질층에 관한 연구 (A Study on the Mechanical Properties and Deformed Layer of STS 316L and 316LN Stainless Steels)

  • 오선세;이원
    • 한국정밀공학회지
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    • 제21권1호
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    • pp.71-79
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    • 2004
  • The deformed layers generated in face milling works were comparatively investigated to type 316L and nitrogen(N)-added type 316LN stainless steels. In order to characterize mechanical properties between type 316L and type 316LN, high-temperature tensile tests were conducted with different temperatures: R.T to $700^{\circ}C$. The cutting forces of three components, Fx, Fy and Fz were measured using a tool dynamometer through the face milling cutting tests. The deformed layers were measured by micro-hardness tests along deformed layers. The results of mechanical properties showed that type 316LN was superior to type 316L. The deformed layers of two steels were generated in the 1501m-3001m ranges, and type 316L was higher than type 316LN. The reason for this is due to the high strength properties by nitrogen effect. It was found that deformed structures were well observed for type 316L, but were minutely observed for type 316LN in this cutting conditions.

Statistical analysis and modelization of tool life and vibration in dry face milling of AISI 52100 STEEL in annealed and hardened conditions

  • Benghersallah, Mohieddine;Medjber, Ali;Zahaf, Mohamed Zakaria;Tibakh, Idriss;Amirat, Abdelaziz
    • Advances in materials Research
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    • 제9권3호
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    • pp.189-202
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    • 2020
  • The objective of the present work is to investigate the effect of cutting parameters (Vc, fz and ap) on tool life and the level of vibrations velocity in the machined part during face milling operation of hardened AISI 52100 steel. Dry-face milling has been achieved in the annealed (28 HRc) and quenched (55 HRc) conditions using multi-layer coating micro-grain carbide inserts. Statistical analysis based on the Response surface methodology (RSM) and ANOVA analysis have been conducted through a plan of experiments methodology using a reduced Taguchi table (L9) in order to obtain engineering models for tool life and vibration velocity in the workpiece for both heat treatment conditions. The results show that the cutting speed has a dominant influence on tool life for both soft and hard part. Cutting speed and feed per tooth is the most significant parameters for vibration levels. Comparing the experimental values with those predicted by the developed engineering models of tool life and levels of vibrations velocity, a good correlation has been obtained (between 97% and 99%) in annealed and hard conditions.