• Title/Summary/Keyword: Cutting Edge

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A Probabilistic Model for the Prediction of Burr Formation in Face Milling

  • Suneung Ahn
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.60
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    • pp.23-36
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    • 2000
  • A probabilistic model of burr formation in face milling of gray cast iron is proposed. During a face milling operation, an irregular pattern of the edge profile consisting of burrs and edge breakouts is observed at the end of cut. Based on the metal cutting theory, we derive a probabilistic model. The operational bayesian modeling approach is adopted to include the relevant theory in the model.

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Study on the characteristics of the rib mold processing using a single type of tool (싱글타입 공구를 사용한 금형리브 가공특성에 관한 연구)

  • Lee, Seung-Chul;Park, Suk-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.7
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    • pp.3151-3157
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    • 2013
  • Rib cutting is being used to many electronic components and small plastic products. In this study, comparison experiment on tool of flat type(2F) and single edge type(1F) was conducted. Results were as follows: Surface roughness and tool wear of straight cutting showed good results in tool with a straight structure of the Existing tool. Rib cutting of 7mm depth was shown 50% higher surface roughness of development tool than the existing tool. The cutting time varies depending on the shape of the rib. But it is three times faster compared to existing tool.

Machinability of ceramic and WC-Co green compacts (세라믹 및 초경합금 성형체의 피절삭성)

  • Lee, Jae-Woo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.9
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    • pp.1520-1530
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    • 1997
  • Machining pressed compacts of ceramic and WC-Co materials can be the most cost effective way of forming the bodies prior to sintering when the required number of pieces is small. In this study, in order to clarify the machinability for turning, the $Si_3N_4$ and the WC-Co green compacts unsintered were machined under different cutting conditions with various tools. Absorbing chips by vacuum hose decreases tool wear. The tool wear becomes larger in the order of the ceramic, CBN and cemented carbide tools in machining the $Si_3N_4$ green compacts. In machining the WC-Co green compacts, the tool wear becomes larger in the order of the ceramic, cemented carbide and CBN tools. The land of cutting edge does not affect tool wear. When machining with cemented carbide tool, the tool wear i equal cutting length is nearly identical in spite of the increase of cutting spee, and the roughness of machined surface was the best in the cutting speed of 90 m/min. The tool wear decreases with the increase of rake angle and relief angle and with the decrease of nose radius. The machined surfaces become worse with the increase of feed rate and depth of cut, and with the decrease of rake angle and relief angle. The tool wear is not affected by the feed and depth of cut.

Plane Surface Generation with a Flat End Mill (평 엔드밀을 이용한 평면가공에서의 가공면 형성기구)

  • Ryu, Si-Hyeong;Kim, Min-Tae;Choe, Deok-Gi;Ju, Jong-Nam
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.2 s.95
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    • pp.234-243
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    • 1999
  • Using the geometric and the vector methods, three dimensional surface texture and roughness models in flat end milling are developed. In these models, rear cutting effect on surface generation is considered along with tool run-out and tool setting error including tool tilting and eccentricity between tool center and spindle rotational center. Rear cutting is the secondary cutting of the already machined surface by the trailing cutting edge. The effects of tool geometry and tool deflection on surface roughness are also considered. For representing the surface texture more practically, three dimentional surface topography parameters such as RMS deviaiton, skewness and kurtosis are introduced and used in expressing the surface texture characteristics. Under various cutting conditions, it is confirmed that the developed models predict the real surface profile precisely. These models could contribute to the cutter design and cutting condition selection for the reduction of machining and manual finishing time.

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A Study on Optimum Cutting Conditions and Tool Life in Deep Hole Drilling for SM55C by BTA Drill (BTA드릴에 의한 SM55C의 심공가공시 최적절삭조건과 공구수명에 관한 연구)

  • 장성규;전언찬
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.9
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    • pp.43-49
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    • 1998
  • The deep hole drilling has an increasing demands because of its wide range applications and its good productivity. The BTA drills are capable of machining for having a large length to diameter ratio in single pass to higher degree of accuracy and surface finish. It's really necessary that the investigation for the deep hole drilling by the BTA drill because its required quality should be satisfied with single pass. This thesis deal with the experimental results obtained during single tube BTA system machining on SM55C steel for different machining conditions. The results of the investigation on the optimum cutting condition selecting and tool life reveals as follows. (1) The optimum cutting condition was cutting speed, V = 42 m/min and feed speed. F = 90 mm/min and the tool life was about 10 meters. (2) Surface roughness was $12\mum$ and the roundness was less using $16mum$single edge BTA drill in testing cutting condition.

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A Realization of Deburring Robot using Vision Sensor (비젼 센서를 이용한 디버링 로봇의 구현)

  • 배준영;주윤명;김준업;이상룡
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.466-469
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    • 2002
  • Burr is a projected part of finished workpiece. It is unavoidable and undesirable by-product of most metal cutting or shearing process. Also, it must be removed to improve the fit of machined parts, safety of workers, and the effectiveness of finishing operation. But deburring process is one of manufacturing processes that have net been successfully automated, so deburring automation is strongly needed. This paper focused on developing a basic algorithm to find edge of workpiece and match two different image data for deburring automation which includes automatic recognition of parts, generation of deburring tool paths and edge/corner finding ability by analyzing the DXF drawing file which contains information of part geometry. As an algorithm for corner finding, SUSAN method was chosen. It makes good performance in finding edge and corner in suitable time. And this paper suggested a simple algorithm to find matching point between CCD image and drawing file.

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A Study on the Elimination Method of Noise Image Caused by Rainfall Using Machine Vision (머신비전을 이용한 판토그래프 습판 마모 측정에 있어서 우천으로 인한 영상노이즈 제거방법에 관한 연구)

  • Lee, Seong-Gwon;Lee, Dae-Won;Kim, Gil-Dong
    • Journal of the Korean Society for Railway
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    • v.12 no.3
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    • pp.364-369
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    • 2009
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection doe to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

Indirect Method for Measurement of Tool Edge Roughness in flat End Mill (평 엔드밀 공구인선부 조도의 간접적인 측정법)

  • Kim, Jeon-Ha;Gang, Myeong-Chang;Kim, Jeong-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.10
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    • pp.92-98
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    • 2002
  • End mill is an essential tool to generate complex surface in workpiece and it has been developed with various materials and tool shapes. The most important factor to evaluate the performance of end mill is still the wear characteristics of flank face. In addition to the flank wear, the tool edge roughness generated by the chipping is another important factor in aspects of material property and machinability evaluation and affects the quality of machined surface. Up to now, there is no direct method for measurement of tool edge roughness. In this study, the tool edge roughness of flat end mill is indirectly measured along the axial direction of workpiece. The theoretical equation is derived in consideration of tool geometry. Finally, the optimal conditions to measure the tool edge roughness by the proposed method are presented through the theoretical review and experimental identification.

Chip Breaking Characteristics Depending on Equivalent Effective Rake Angle in Turning (외경선삭가공시 등가유효경사각에 따른 칩절단 특성)

  • Lee, Young-Moon;Chang, Seung-Il;Sun, Jeong-Woo;Yun, Jong-Hoon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.2
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    • pp.25-31
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    • 2004
  • Machinability in metal cutting processes depends on cutting input conditions such as cutting velocity, feed rate, depth of cut, types of work material and tool shape factors. In this study, to assess chip breaking characteristics of a turning process, an equivalent oblique cutting system to this has been established. And the equivalent effective rake angle was determined using side rake angle, back rake angle and side cutting edge angle of the tool. A non-dimensional parameter, Chip breaking index(CB), was used to assess Chip breaking characteristics of chip in conjunction with the equivalent effective rake angle. In case of positive rake angles of the equivalent effective rake, the back rake angle has little effect on the chip breaking characteristics however, in case of negative ones, the side rake angle has some effect on Chip breaking characteristics.

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Implementation of Paper Cutting Defect Detection System Based on Local Binary Pattern Analysis (국부 이진 패턴 분석에 기초한 지절 결함 검출 시스템 구현)

  • Kim, Jin-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.9
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    • pp.2145-2152
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    • 2013
  • Paper manufacturing industries have huge facilities with automatic equipments. Especially, in order to improve the efficiency of the paper manufacturing processes, it is necessary to detect the paper cutting defect effectively and to classify the causes correctly. In this paper, we review the problems of web monitoring system and web inspection system that have been traditionally used in industries for defect detection. Then we propose a novel paper cutting defect detection method based on the local binary pattern analysis and its implementation to mitigate the practical problems in industry environment. The proposed algorithm classifies the defects into edge-type and region-type and then it is shown that the proposed system works stably on the real paper cutting defect detection system.