• Title/Summary/Keyword: Cutting force model

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Development of Accurate Cutting Simulation and Feedrate Scheduling System for CNC Machining (CNC 가공의 정밀 절삭 시뮬레이션 및 이송속도 스케줄링 시스템 개발)

  • 이한울;고정훈;조동우
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.370-375
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    • 2004
  • This paper presents an accurate cutting simulation and feedrate scheduling system for CNC machining. This system is composed of a cutting simulation part and a feedrate scheduling part. The cutting simulation part computes the geometric informations and calculates the cutting forces in CNC machining. The cutting force model using cutting-condition-independent coefficients was introduced for flat end milling and ball end milling. The feedrate scheduling part divides original blocks of NC code into smaller ones with optimized feedrates to adjust the peak value of cutting forces to reference forces. Some machining examples show that the developed system can control the cutting force at desired levels.

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Specific Cutting Force Coefficients Modeling of End Milling by Neural Network

  • Lee, Sin-Young;Lee, Jang-Moo
    • Journal of Mechanical Science and Technology
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    • v.14 no.6
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    • pp.622-632
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    • 2000
  • In a high precision vertical machining center, the estimation of cutting forces is important for many reasons such as prediction of chatter vibration, surface roughness and so on. The cutting forces are difficult to predict because they are very complex and time variant. In order to predict the cutting forces of end-milling processes for various cutting conditions, their mathematical model is important and the model is based on chip load, cutting geometry, and the relationship between cutting forces and chip loads. Specific cutting force coefficients of the model have been obtained as interpolation function types by averaging forces of cutting tests. In this paper the coefficients are obtained by neural network and the results of the conventional method and those of the proposed method are compared. The results show that the neural network method gives more correct values than the function type and that in the learning stage as the omitted number of experimental data increase the average errors increase as well.

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Prediction of Cutting Forces in High Speed End Milling (고속 엔드밀 가공에서의 절삭력 예측)

  • Jung, Sung-Chan;Kim, Kug Weon
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.4 no.4
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    • pp.21-27
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    • 2005
  • Recently researches for high speed machining have been actively performed. Few analytical studies, however, have been published. In this paper, a model of cutting forces is analytically studied to predict cutting characteristics in end mill process, especially considering both feed rate and spindle speed. The developed cutting model is based on Oxley's machining theory, which predicts the cutting forces from input data of workpiece material properties, tool geometry and cutting conditions. Experimental verification has been performed to verify the predictive cutting force model using tool dynamometer. It has been found that the simulation results substantially agree with experimental results.

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Prediction of Cutting Force in Down End Milling (엔드밀의 하향절삭시 절삭력 예측)

  • 이영문;이선호;태원익
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.907-911
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    • 2000
  • In this study, a modified model for prediction of cutting force components in down end milling process is presented. Using this cutting force components of 4-tooth endmills with various helix angles have been predicted. Predicted values of cutting force components are well coincide with the measured ones. As helix angle increases overlapping effects of the active cutting edges increase and as a result the amplitudes of cutting force components decrease.

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Mean Cutting Force Prediction in Ball-End Milling of Slanted Surface Using Force Map (볼엔드밀 경사면 가공에서 절삭력 맵을 이용한 평균절삭력 예측)

  • 김규만;주종남
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.12
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    • pp.212-219
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    • 1998
  • During machining of dies and molds with sculptured surfaces. the cutter contact area changes continuously and results in cutting force variation. In order to implement cutting force prediction model into a CAM system, an effective and fast method is necessary. In this paper. a new method is proposed to predict mean cutting force. The cutter contact area in the spherical part of the cutter is obtained using Z-map, and expressed by the grids on the cutter plane orthogonal to the cutter axis. New empirical cutting parameters were defined to describe the cutting force in the spherical part of cutter. Before the mean cutting force calculation, the cutting force density in each grid is calculated and saved to force map on the cutter plane. The mean cutting force in an arbitrary cutter contact area can be easily calculated by summing up the cutting force density of the engaged grid of the force map. The proposed method was verifed through the slotting and slanted surface machining with various inclination angles. It was shown that the mean force can be calculated fast and effectively through the proposed method for any geometry including sculptured surfaces with cusp marks and holes.

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A Study on the Precision Machining during End Milling Poeration by Prediction of Generated Surface Topography (엔드밀 가공시 표면형성 예측을 통한 정밀가공에 관한 연구)

  • 이상규;고성림
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.788-793
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    • 1997
  • The surface,generated by end milling operation, is deteriorated by tool runout,vibration,friction,tool deflection, etc. In many source,deflection of tool affects to surfave accuracy. To develop a surface accracy model,method for the prediction of the topography of machined surfaces has been developed based on models of machine tool kinematics and cutting tool geometry. This model accounts for not only the ideal geometrical surface, but also the deflection of tool resulted in cutting force. For the more accurate prediction of cutting force,flexible end mill model is used to simulate cutting process. Compute simu;ation have shown the feasibility of the surface generation system.

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Bearing Lobe Profile and Cutting Force Modeling (베어링의 로브형상과 절삭력 모델링)

  • 윤문철;조현덕;김성근
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1998.10a
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    • pp.343-349
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    • 1998
  • A modeling of machined geometry and cutting force was proposed for the case of round shape machining, and the effects of internally machined profile are analyzed and its realiability was verified by the experiments of roundness tester, especially in boring operation in lathe. Also, harmonic cutting force model was proposed with the parameter of specific cutting force, chip width and chip thickness, and in this study, we can see that bored workpiece profile was also mapped into cutting force signal with this model. In general, we can calculated the theoretical lobe profile with arbitrary multilobe. But in real experiments, the most frequently measured numbers are 3 and 5 lobe profile in experiments. With this results, we can predict that these results may be applied to round shape machining such as drilling, boring, ball screw and internal grinding operation with the same method.

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Adaptive cutting force controller for milling processes by using AC servodrive current measurements

  • Kim, Jongwon
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.840-843
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    • 1996
  • This paper presents an adaptive cutting force controller for milling process, which can be attached to most commercial CNC machining centers in a practical way. The cutting forces of X,Y and Z axes measured indirectly from the use of currents drawn by AC feed-drive servo motors. A typical model for the feed-drive control system of a horizontal machining center is developed to analyze cutting force measurement from the drive motor. The pulsating milling forces can be measured indirectly within the bandwidth of the current feedback control loop of the feed-drive system. It is shown that indirectly measured cutting force signals can be used in the adaptive controller for cutting force regulation. The robust controller structure is adopted in the whole adaptive control scheme. The conditions under which the whole scheme is globally convergent and stable are presented. The suggested control scheme has been implemented into a commercial machining center, and a series of cutting experiments on end milling and face milling processes are performed. The adaptive controller reveals reliable cutting force regulating capability under various cutting conditions.

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Prediction of Mean Cutting Force in Ball-end Milling using 2-map and Cutting Parameter (Z-map과 절삭계수를 이용한 볼엔드밀의 평균절삭력 예측)

  • 황인길;김규만;주종남
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.179-184
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    • 1995
  • A new cutting parameter is defined in the spherical part of ball end-mill cutter. A series of slot cutting experiments were carried out to obtain the cutting parameter. The cutter contact area is expressed as the grid posiotion in the cutting plane using Z map. The cutting forces in each grid are calculated and saved as force map, prior to the average cutting forces calculation. The cutting force, in the arbitrary cutting area, can be easily calculated by summing up the cutting forces of the engaged grid in the force map. This model was verified in the inclined surface cutting by cutting test of a cylindrical part.

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A Study on Tool Wear Diagnosis by Measuring Spindle Displacement (주축 변위 측정을 통한 공구 마모 진단에 관한 연구)

  • 김진현;김일해;장동영;한동철
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.1
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    • pp.222-228
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    • 2003
  • A reliable tool wear monitoring technique is the one of important aspects for achieving an integrated and self-adjusting manufacturing system. In this paper, a tool wear estimation approach for turning is proposed. This approach uses the model of cutting force, spindle displacement and their relation. A series of experiments were conducted by designing experimental techniques to determine the relationship between flank wear and cutting force coefficient as well as cutting parameters such as cutting speed, depth of cut and feed. The proposed model performance has shown that the spindle displacement model predicts tool wear with high accuracy and spindle displacement signal is possible to replace cutting force signal.