Enhanced virtual machining for sculptured surfaces by integrating machine tool error models into NC machining simulation

Lin, Yizhen; Yuan, Shen

doi:10.1016/j.ijmachtools.2003.08.003

Cited by 25 publications

(11 citation statements)

References 11 publications

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“…Overcutting, undercutting and collision [32][33] may occur during the machining of the LSBG pinion on a five-axis vertical machining centre. Theoretically speaking, no matter how the ball-end cutter path is planned, a collision between the cutter tip and the workpiece will not happen as long as the radius of the ball-end cutter is smaller than the radius of curvature of the surface being machined [34][35][36][37][38][39]. The equation of the cutter position calculation is as follows: x y z r is the vector of the ball-end along the cutter centre axis line;…”

Section: Basic Principlesmentioning

confidence: 99%

Five-Axis Numerical Control Machining of the Tooth Flank of a Logarithmic Spiral Bevel Gear Pinion

Xiang

2018

TFAMENA

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In this paper, the production of a logarithmic spiral bevel gear prototype is illustrated by the manufacture of the gear pinion. Firstly, the conical gear body of a logarithmic spiral bevel gear pinion was shaped on a C6140A1 lathe. A kinematic model of a five-axis vertical machining centre DMG DMU40 monoBLOCK, with the position and orientation of each axis relative to the movement of the workpiece, was created. In addition, the processing coordinate transformation formula between the workpiece coordinate system and the cutter coordinate system was devised. The cutter location file was converted to the numerical control code of the DMG DMU40 monoBLOCK. Finally, the pinion of a logarithmic spiral bevel gear was machined on the DMG DMU40 monoBLOCK as a prototype to be used in further research of the logarithmic spiral bevel gear.

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Section: Basic Principlesmentioning

confidence: 99%

Five-Axis Numerical Control Machining of the Tooth Flank of a Logarithmic Spiral Bevel Gear Pinion

Xiang

2018

TFAMENA

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“…Prediction of cutting forces over a wide range of cutting conditions, the surface form error and transient cutting simulations were proposed in the paper. A new application framework "enhanced virtual machining" was developed by Lin and Shen [6] to quantitatively predict the part geometry errors. Wang et al [7] proposed an illumination model to build a realistic turning machining scene such as chip formation during machining operation.…”

Section: Related Workmentioning

confidence: 99%

A Haptic Virtual Turning Operation System

He¹,

Chen²

2006

2006 International Conference on Mechatronics and Automation

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A prototype system called haptic virtual turning operation system (HVTOS) is presented in this paper. The HVTOS system has three kinds of interactive tools for cutting, browsing and grinding. In cutting operation, a NURBS deformation algorithm is proposed for workpiece modeling which is expected to accelerate haptic and graphical rendering. For grinding operation, a simple NURBS trimming technique is used. In using the HVTOS system, a user can manipulate a virtual tool to cut or polish a virtual workpiece with force feedback as if he/she is working on a real turning machine. The force feedback varies with different simulation parameters such as cutting depth and material properties (e.g. hardness, surface friction and damping coefficients), which can be set by the user before operation. During operation, tool positions and their corresponding forces are recorded in order to provide data for analyzing the performance of tool paths. Vibration, friction and viscous effects felt by a user can improve the simulation fidelity. The proposed system provides an intuitive way not only for the modeling of three dimensional revolved objects but also for the training of lathe machining and grinding operations. Several models created by this system are given to illustrate the easiness and effectiveness of the HVTOS.

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“…They reduced the computations by approximately breaking down the kinematic equation into six components where each contains different geometric error elements. The geometric error model built in [11] was implemented and integrated into the virtual machining research by Lin and Shen [12] to predict the geometric errors of parts with sculptured surfaces. Xiang et al [13] proposed a method to identify PIGEs for rotary axes, where the translational axes were kept stationary and only two rotary axes moved to obtain circular trajectories to conduct ball-bar tests.…”

Section: Introductionmentioning

confidence: 99%

A position independent geometric errors identification and correction method for five-axis serial machines based on screw theory

Yang

Mayer

Altintaş

2015

International Journal of Machine Tools and Manufacture

107

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Enhanced virtual machining for sculptured surfaces by integrating machine tool error models into NC machining simulation

Cited by 25 publications

References 11 publications

Five-Axis Numerical Control Machining of the Tooth Flank of a Logarithmic Spiral Bevel Gear Pinion

Five-Axis Numerical Control Machining of the Tooth Flank of a Logarithmic Spiral Bevel Gear Pinion

A Haptic Virtual Turning Operation System

A position independent geometric errors identification and correction method for five-axis serial machines based on screw theory

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