• 제목/요약/키워드: Modeling of the Cutting Process

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Side Milling Cutter 를 이용한 Worm Screw 가공시 절삭 모델링을 통한 Cusp 예측 (A study on the forecast of Cusp by Cutting Modeling in Worm Screw Process by Side Milling Cutter)

  • 김창현;권태웅;강동배;이민환;안중환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.1893-1896
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    • 2005
  • Cutting force and face roughness have the largest influence on precision of a structure or processing efficiency in cutting processing. Thus cutting force model and face roughness model are necessary for this interpretation. In this paper, tool path model and face roughness model which consider the blade number of a tool and a revolution speed of tool and workpiece in the worm processing using side milling cutter are presented. This model was used to forcast the cusp. Experimental results show that the predicted cusp coincides with experimental one.

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선사가공에 절삭력을 이용한 공구마멸의 감지 (Detection of Tool Wear using Cutting Force Measurement in Turning)

  • 윤재웅;이권용;이수철;최종근
    • 한국공작기계학회논문집
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    • 제10권1호
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    • pp.1-9
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    • 2001
  • The development of flexible automation in the manufacturing industry is concerned with production activities performed by unmanned machining system A major topic relevant to metal-cutting operations is monitoring toll wear, which affects process efficiency and product quality, and implementing automatic toll replacements. In this paper, the measurement of the cutting force components has been found to provide a method for an in-process detection of tool wear. The static com-ponents of cutting force have been used to detect flank wear. To eliminate the influence of variations in cutting conditions, tools, and workpiece materials, the force modeling is performed for various cutting conditions. The normalized force dis-parities are defined in this paper, and the relationships between normalized disparity and flank were are established. Final-ly, artificial neural network is used to learn these relationships and detect tool wear. According to proposed method, the static force components could provide the effective means to detect flank wear for varying cutting conditions in turning operation.

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엔드밀 가공에서의 공구 변형에 대한 유한요소해석 (A study on Finite Element Analysis of Tool Deformation in End Milling)

  • 김국원;정성찬
    • 한국산학기술학회논문지
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    • 제6권1호
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    • pp.83-86
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    • 2005
  • 본 연구에서는 절삭 가공시 공구가 받는 절삭력과 칩-공구 사이에서 발생하는 절삭온도에 의한 공구의 변형을 예측하였다. 3D CAD를 이용하여 공구를 모델링 하였으며 절삭력과 절삭온도를 하중조건으로 부여하여 유한요소해석을 수행하였다. 하중조건으로 사용한 절삭력과 절삭온도는 절삭이론을 이용한 절삭력 모델을 사용하여 예측하였으며 실험을 통해 모델의 타당성을 검증하였다. 그러므로 본 연구는 절삭조건과 재료 물성치 그리고 공구 형상만을 알면 이에 따른 절삭력 성분 및 절삭온도 둥을 얻을 수 있고, 이를 이용하여 절삭 가공시 발생하는 공구의 변형을 예측할 수 있다.

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정면 밀링 가공에서의 비절삭 저항 모델링 및 절삭력 예측 (Modeling of the Specific Cutting Pressure and Prediction of the Cutting Forces in Face Milling)

  • 김국원;주정훈;이우영;최성주
    • 한국공작기계학회논문집
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    • 제17권5호
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    • pp.116-122
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    • 2008
  • In order to establish automation or optimization of the machining process, predictions of the forces in machining are often needed. A new model fur farces in milling with the experimental model based on the specific cutting pressure and the Oxley's predictive machining theory has been developed and is presented in this paper. The specific cutting pressure is calculated according to the definition of the 3 dimensional cutting forces suggested by Oxley and some preliminary milling experiments. Using the model, the average cutting forces and force variation against cutter rotation in milling can be predicted. Milling experimental tests are conducted to verify the model and the predictive results agree well with the experimental results.

채터로브 계산을 위한 고유모우드 분석법 (Natural Mode Analysis for Chatter Lobe Estimation)

  • 윤문철;조현덕;이응숙
    • 한국기계가공학회지
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    • 제2권2호
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    • pp.60-66
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    • 2003
  • For the estimation of chatter lobe boundary it is very important to calculate the natural mode of cutting process. There are many time series algorithms for getting the natural mode of structural endmilling dynamics considering the cutting process. In this study, we have compared several time series methods such as AR algorithm, ARX, ARMAX, ARMA, Box Jenkins, Output Error, Recursive ARX, Recursive ARMAX considering the sampling frequency. As a results, the ARX, ARMAX and IV 4 are more desirable algorithms for the calculation of modal parameters such as natural frequency and damping ratio In endmilling operation. Also these algorithms may be adopted for the natural mode estimation of endmilling operation for chatter lobe prediction.

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옥트리를 이용한 황삭 가공경로생성 (Tool Path Generation for Rough Cutting Using Octree)

  • 김태주;이건우;홍성의
    • 대한기계학회논문집
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    • 제18권1호
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    • pp.53-64
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    • 1994
  • Rouge cutting process takes the major portion of machining operation using NC milling machine. Especially, most of the machining time is spent in this process when molds are machined. Therefore, an efficient algorithm for generating the tool path for rough cutting is suggested in this paper. The first step of the procedure is getting the volume to be machined by applying the Boolean operation on the finished model and the workpiece which have been modeling system. Basic principle of determining machining procedure is that a large tool should be used at the portion of the simple shape while a small tool should be used at the complex portion. This principle is realized by representing the volume to be machined by an octree, which is basically a set of hexahedrons, and matching the proper tools with the given octants. When the tools are matched with the octants, the tool path can be derived at the same time.

2차원 절삭에서 발생하는 버에 관한 유한요소 시뮬레이션 (FE-Simulation of Burr Formation in Orthogonal Cutting)

  • 고대철;김병민;고성림
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.265-270
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    • 1995
  • In orthogonal cutting a new approach for modeling of burr formation process when tool exits workpiece is proposed. The approach is based on the rigid-plastic FEM combined with the ductile fracture criterion and the element kill method. The approach is applied to simulate a plane strain cutting process. The results of the FEM are compared with those of the experiment. It is shown that the fracture location and fracture angle as well as cutting force can be predicted using the proposed approach with a good correlation to experimental results.

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Force Prediction and Stress Analysis of a Twist Drill from Tool Geometry and Cutting Conditions

  • Kim, Kug-Weon;Ahn, Tae-Kil
    • International Journal of Precision Engineering and Manufacturing
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    • 제6권1호
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    • pp.65-72
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    • 2005
  • Drilling process is one of the most common, yet complex operations among manufacturing processes. The performance of a drill is largely dependent upon drilling forces, Many researches focused on the effects of drill parameters on drilling forces. In this paper, an effective theoretical model to predict thrust and torque in drilling is presented. Also, with the predicted forces, the stress analysis of the drill tool is performed by the finite element method. The model uses the oblique cutting model for the cutting lips and the orthogonal cutting model for the chisel edge. Thrust and torque are calculated analytically without resorting to any drilling experiment, only by tool geometry, cutting conditions and material properties. The stress analysis is performed by the commercial FEM program ANSYS. The geometric modeling and the mesh generation of a twist drill are performed automatically. From the study, the effects of the variation of the geometric features of the drill and of the cutting conditions of the drilling on the drilling forces and the stress distributions in the tool are calculated analytically, which can be applicable for designing optimal drill geometry and for improving the drilling process.

시계열 모델과 상관차원 해석을 통한 공구수명의 감시 (Monitoring of Tool Life through AR Model and Correlation Dimension Analysis)

  • 김정석;이득우;강명창;최성필
    • 한국정밀공학회지
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    • 제15권11호
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    • pp.189-198
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    • 1998
  • Recently, monitoring of tool life is a matter of common interesting because tool life affects precision, productivity and cost in machining process. Especially flank wear has a direct effect on cutting mechanism, so the various pattern of cutting force is obtained experimentally according to variation of wear condition. By investigating cutting force signal, AR(Autoregressive) modeling and correlation dimension analysis is conducted in turning operation. In this modeling and analysis, we extract features through 6th AR model, correlation integral and normalized correlation integral. After the back-propagation model of the neural network is utilized to monitor tool life according to flank wear. As a result. a very reliable classification of tool life was obtained.

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2차원 GFRC절삭에서 AR모델링에 관한 연구 (Autoregressive Modeling in Orthogonal Cutting of Glass Fiber Reinforced Composites)

  • Gi Heung Choi
    • 한국안전학회지
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    • 제16권1호
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    • pp.88-93
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    • 2001
  • 본 연구에서는 복합소재인 GFRP(Glass Fiber Reinforced Polyester)의 2차원 절삭공정에서 절삭 메커니즘과 소재의 신뢰도 및 안전성과 밀접한 관련이 있는 표면정도를 중심으로 한 공정의 특성화를 시도하고, 주파수 분석에 관하여도 논의한다. 구체적으로는, 공정중 발생하는 절삭력 신호를 AR(Autoregressive) 모델링하여 해석에 사용한다. 특히, 특징추출과정을 통해 AR계수로 이루어진 패턴벡터 중 다양한 절삭 메카니즘에 민감한 계수만 선택할 수 있다. 이들 계수와 절삭 메커니즘과의 실험적 관계를 설정함으로써 섬유경사각(Fiber orientation angle), 절삭 변수 그리고 공구형상이 절삭 메커니즘에 미치는 영향을 평가하였다.

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