• Title/Summary/Keyword: Cutting Forces

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A Study on the Machining Error Characteristics in Ball-End Milling of Surface (곡면의 볼 엔드밀 가공에서 가공오차 특성에 관한 연구)

  • Sim, Ki-Joung;Yu, Jong-Sun;Yu, Ki-Hyun;Cheong, Chin-Yong
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.3 no.1
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    • pp.7-14
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    • 2004
  • Machining error is defined the normal distance between designed surface and actual tool path with tool deflection. This is inevitably caused by the tool deflection, tool wear, thermal effect and machine tool errors and so on. Among these factors, tool deflection is usually known as the most significant factor of machining error. Tool deflection problem is analyzed using Instantaneous horizontal cutting forces. The high quality and precision of machining products are required in finishing. In order to achieve these purposes, it is necessary work that decrease the machining error. This paper presents a study on the machining error caused by the tool deflection in ball end milling of 2 dimensional surface. Tool deflection model and simple machining error prediction model are described. This model is checked the validity with machining experiments of 2 dimensional surface. These results may be used to decrease machining error and tool path decision.

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Rock TBM design model derived from the multi-variate regression analysis of TBM driving data (TBM 굴진자료의 다변량 회귀분석에 의한 암반대응형 TBM의 설계모델 도출)

  • Chang, Soo-Ho;Choi, Soon-Wook;Lee, Gyu-Phil;Bae, Gyu-Jin
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.13 no.6
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    • pp.531-555
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    • 2011
  • This study aims to derive the statistical models for the estimation of the required specifications of a rock TBM as well as for its cutterhead design suitable for a given rock mass condition. From a series of multi-variate regression analysis of 871 TBM driving data and 51 linear rock cutting test results, the optimum models were newly proposed to consider a variety of rock properties and mechanical cutting conditions. When the derived models were applied to two domestic shield tunnels, their predictions of cutter penetration depth, cutter acting forces and cutter spacing were very close to real TBM driving data, showing their high applicability.

Study on Tool Wear and Cutting Forces by Tool Properties in CFRP Drilling (CFRP 드릴링 공정에서의 공구의 특성에 따른 절삭부하와 공구마모 거동의 고찰)

  • Park, Dong Sub;Jeong, Yeong Hun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.4
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    • pp.83-88
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    • 2017
  • Recently, the use of advanced materials with light weight significantly increases because of global regulation on CO2 emission. Especially, CFRP (carbon fiber reinforced plastics) one of the most promising advanced materials. Since CFRP has pretty higher strength per unit weight than steel, it is one of most popular materials in aviation industry and its application to automobile rises sharply. Especially, one of the frequent machining processes for CFRP is drilling to make a hole, however, CFRP drilling has troublesome limitations in hole quality and productivity induced due to delamination, splintering and severe tool wear. Particularly, cutting loads increase caused by tool wear makes delamination and splintering even severer. Therefore, tool wear monitoring or reduction in CFRP drilling must be considered seriously. In this study, we measured thrust force, flank wear, and tool surface temperature in drilling using various tools with different sizes and materials. Consequently, it was presented the effects of tool properties on drilled hole quality, thrust force and tool surface temperature.

A Study on Cutting Method of Tungsten Carbide Material Using Hot Machining (고온가공기법을 이용한 초경소재 가공기술에 관한 연구)

  • Choung Y. H.;Cho Y. G.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2004.10a
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    • pp.315-318
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    • 2004
  • The Advantages of hot machining are the reduction of cutting forces, tool wear, and the increase of material removal rates. In this study, a hot-machining characteristics of milling by CBN tip was exprimentely analyzed, and the influence of the surface temperature and the depth of cut on the tool life were investigated. The selection of a heating method for obtaining ideal temperature of metals in machining is important. Faulty heating methods could induce unwanted structural changes in the workpiece and increase the cost. This study uses gas flame heating. It is obtained that tungsten carbide-alloyed has a recrystallisation temperature range of $800-1000^{\circ}C$ which is the high heating temperature that might induce unwanted structural changes. If it is performed at temperatures higher than $800^{\circ}C$ in machining, the possibility of unwanted structural changes and the increased wear of tool can be shown. Consequently, in hot machining of tungsten carbide-alloy, this study has chosen $400^{\circ}C-600^{\circ}C$ because the heating temperature might be appropriate in view of the cost and workpiece considerations. The results of this study experimentally shows a new machining method for tungsten carbide-alloyed that decreases the wear rate of machining tools

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Development of Online Realtime Positioning Error Compensation System for CNC Machine Tools (CNC 공작기계용 온라인 실시간 위치오차 보정시스템의 개발)

  • Chung, Chae-Il;Kim, Jong-Won;Nam, Weon-Woo;Lee, Sang-Jo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.10
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    • pp.45-52
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    • 1999
  • The online realtime positioning error compensation system 'SKY-PACS' is developed to correct geometric errors, thermal errors and tool deflection errors induced by cutting forces on the vertical machining center. 'SKY-PACS' communicates position commands and position compensation signals with the CNC controller at 100Hz, which is CNC control frequency. So the compensation procedure can be applied during axis movement. Using 'SKY-PACS', Maximum 1 axis positioning accuracy was corrected from 5{\mu}m$ to 2{\mu}m$and the squareness error of X-Y table was corrected from 51{\mu}m$/m to below 4{\mu}m$/m. The error compensation under the cutting condition is carried out by ISO10791-7. And the measurement of test-pieces shows that the roundness is corrected rom 8{\mu}m$ to below 5{\mu}m$.

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Cutter-workpiece engagement determination for general milling using triangle mesh modeling

  • Gong, Xun;Feng, Hsi-Yung
    • Journal of Computational Design and Engineering
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    • v.3 no.2
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    • pp.151-160
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    • 2016
  • Cutter-workpiece engagement (CWE) is the instantaneous contact geometry between the cutter and the in-process workpiece during machining. It plays an important role in machining process simulation and directly affects the calculation of the predicted cutting forces and torques. The difficulty and challenge of CWE determination come from the complexity due to the changing geometry of in-process workpiece and the curved tool path of cutter movement, especially for multi-axis milling. This paper presents a new method to determine the CWE for general milling processes. To fulfill the requirement of generality, which means for any cutter type, any in-process workpiece shape, and any tool path even with self-intersections, all the associated geometries are to be modeled as triangle meshes. The involved triangle-to-triangle intersection calculations are carried out by an effective method in order to realize the multiple subtraction Boolean operations between the tool and the workpiece mesh models and to determine the CWE. The presented method has been validated by a series of case studies of increasing machining complexity to demonstrate its applicability to general milling processes.

Development of Machine Learning Method for Selection of Machining Conditions in Machining of 3D Printed Composite Material (3D 프린팅 복합소재의 가공에서 가공 조건 선정을 위한 머신러닝 개발에 관한 연구)

  • Kim, Min-Jae;Kim, Dong-Hyeon;Lee, Choon-Man
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.2
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    • pp.137-143
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    • 2022
  • Composite materials, being light-weight and of high mechanical strength, are increasingly used in various industries such as the aerospace, automobile, sporting-goods manufacturing, and ship-building industries. Recently, manufacturing of composite materials using 3D printers has increased. 3D-printed composite materials are made in free-form and adapted for end-use by adjusting the fiber content and orientation. However, research on the machining of 3D printed composite materials is limited. The aim of this study is to develop a machine learning method to select machining conditions for machining of 3D-printed composite materials. The composite material was composed of Onyx and carbon fibers and stacked sequentially. The experiments were performed using the following machining conditions: spindle speed, feed rate, depth of cut, and machining direction. Cutting forces of the different machining conditions were measured by milling the composite materials. PCA, a method of machine learning, was developed to select the machining conditions and will be used in subsequent experiments under various machining conditions.

Operating Process of Transverse Type Roadheader for Tunnel Excavation in Korea (횡방향 타입 로드헤더의 터널면 절삭공정 고찰)

  • Min-Gi Cho;Jung-Woo Cho;Mun-Gyu Kim;Jae-Hoon Jeong;Sung-Hyun Choi
    • Tunnel and Underground Space
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    • v.33 no.1
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    • pp.1-9
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    • 2023
  • Roadheaders have been operated in the construction of Korean tunneling projects. The note introduces operation manual and management case of transverse type roadhead in a Korean tunneling site. The cutting and reaction forces of axial and transverse type cutting heads were qualitatively analyzed. The shaping surfaces of tunnel faces were visualized in both cases of fixed and auto-controlled telescopic cylinder conditions. Excavating with fixed cylinder, concave surfaces were shaped on tunnel face. The total processes of sumping and shearing were illustrated for excavating hard rock tunneling. The supplementary graphical explanations for total tunneling procedures in Korea were provided.

Neural network based tool path planning for complex pocket machining (신경회로망 방식에 의한 복잡한 포켓형상의 황삭경로 생성)

  • Shin, Yang-Soo;Suh, Suk-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.7
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    • pp.32-45
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    • 1995
  • In this paper, we present a new method to tool path planning problem for rough cut of pocket milling operations. The key idea is to formulate the tool path problem into a TSP (Travelling Salesman Problem) so that the powerful neural network approach can be effectively applied. Specifically, our method is composed of three procedures: a) discretization of the pocket area into a finite number of tool points, b) neural network approach (called SOM-Self Organizing Map) for path finding, and c) postprocessing for path smoothing and feedrate adjustment. By the neural network procedure, an efficient tool path (in the sense of path length and tool retraction) can be robustly obtained for any arbitrary shaped pockets with many islands. In the postprocessing, a) the detailed shape of the path is fine tuned by eliminating sharp corners of the path segments, and b) any cross-overs between the path segments and islands. With the determined tool path, the feedrate adjustment is finally performed for legitimate motion without requiring excessive cutting forces. The validity and powerfulness of the algorithm is demonstrated through various computer simulations and real machining.

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Performance estimation depending on the insert size of conical picks by linear cutting test (선형절삭시험에 의한 코니컬커터의 삽입재 크기에 따른 절삭성능 평가)

  • Choi, Soon-Wook;Kang, Tae-Ho;Chang, Soo-Ho;Lee, Cheol-Ho;Lee, Gyu-Phil;Kim, Chang-Yong
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.18 no.2
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    • pp.221-233
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    • 2016
  • In order to estimate the performance of a conical cutter depending on the insert size, this study measured forces acting on conical cutters with different cutter spacings, penetration depths and skew angles using slim and heavy conical cutters. When cutter spacings ranged from 12 to 27 mm, the deviations of mean cutter forces with cutter depths appeared smaller compared to other cutter spacings. When skew angle is $0^{\circ}$, the optimal S/d ratio was obtained in the range of 4 to 4.5 for which specific energy of cutting was minimized. It were usually found in the range of 1 to 5. However, when skew angle is $6^{\circ}$, the optimal S/d ratio was obtained in the range of 1 to 3. The simple comparison results shows that the performance of slim cutter was superior to that of heavy cutter, but the use of heavy cutter can be effective, considering the cutter consumption and cutter damage when the strength of the ground is high enough.