Modeling and improvement of dynamic contour errors for five-axis machine tools under synchronous measuring paths

Lin, Ming-Tzong; Wu, Shih-Cheng

doi:10.1016/j.ijmachtools.2013.06.005

Cited by 43 publications

(25 citation statements)

References 28 publications

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“…The contact angle is kept constant between the tool tip and the workpiece, which is required when machining a curved surface. The TCP contouring error is defined as the discrepancy between the reference tool center point P r = [P rx , P ry , P rz ] T and actual one P a = [P ax , P ay , P az ] T in the workpiece frame [16], i.e., ε = P r − P a .…”

Section: Contouring Error Model Of Five-axis Tcp Functionmentioning

confidence: 99%

“…Sencer et al [14] proposed a multi-input multi-output (MIMO) sliding mode controller to simultaneously minimize the tool tip contour error and the tool orientation contour error. With the assistance of servo dynamics errors modeling method [15], Lin et al [16] proposed a servo dynamics matching approach to improve the TCP contouring accuracy of fiveaxis machines. In our most recent work [17], a generalized on-line five-axis contouring error control approach was proposed, where the estimated axis components were added to the position commands of each closed-loop of servo drivers to realize the on-line contouring error control.…”

Section: Introductionmentioning

confidence: 99%

“…A common control structure of the aforementioned contouring error control algorithms [13][14][15][16][17] is feedback control based on online estimation. Evidently, control action always lags behind the error because control signals are calculated according to previous errors.…”

Section: Introductionmentioning

confidence: 99%

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Contouring error control of the tool center point function for five-axis machine tools based on model predictive control

Yang

Zhang

Ding

2016

Int J Adv Manuf Technol

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In five-axis machining processes, tool center point (TCP) control is often used to adjust the orientation of the ball end milling while maintaining constant tool center point coordinates in the workpiece frame. Therefore, TCP contouring error decreases the quality of the machined surface, but very few efforts have been made so far to minimize the contouring error of five-axis TCP by feedback control. To this end, a model predictive control (MPC) method is developed here for rolling optimization. More precisely, the contouring error model of five-axis TCP function is developed, where a Jacobian matrix is used to approximate the relationship between the contouring error and five drivers' tracking errors. The MPC algorithm is afterwards derived, where constraints of control signals are considered as well to avoid violation of the power limitation of the drivers. Finally, the proposed MPC method is examined by extensive experiments using testing tool path of ISO 10791-6: 2014 to verify its effectiveness and superiority.

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Section: Contouring Error Model Of Five-axis Tcp Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Contouring error control of the tool center point function for five-axis machine tools based on model predictive control

Yang

Zhang

Ding

2016

Int J Adv Manuf Technol

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“…The second difficulty is dealt with using forward kinematic transformation and inverse kinematic transformation during validation. Zhang et al [34] and Lin and Wu [35] provided the compensation solutions for dynamic servo tracking errors of five-axis machines.…”

Section: Automated Contour Error Compensationmentioning

confidence: 99%

From computer-aided to intelligent machining: Recent advances in computer numerical control machining research

Lee

Gao

2015

Proceedings of the Institution of Mechanical Engineers, Part B:

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The aim of this paper is to provide an introduction and overview of recent advances in the key technologies and the supporting computerized systems, and to indicate the trend of research and development in the area of computational numerical control machining. Three main themes of recent research in CNC machining are simulation, optimization and automation, which form the key aspects of *Corresponding author, Email: welcome.li@nuaa.edu.cn 2 intelligent manufacturing in the digital and knowledge based manufacturing era. As the information and knowledge carrier, feature is the efficacious way to achieve intelligent manufacturing. From the regular shaped feature to freeform surface feature, the feature technology has been used in manufacturing of complex parts, such as aircraft structural parts. The authors' latest research in intelligent machining is presented through a new concept of multi-perspective dynamic feature (MpDF), for future discussion and communication with readers of this special issue. The MpDF concept has been implemented and tested in real examples from the aerospace industry, and has the potential to make promising impact on the future research in the new paradigm of intelligent machining. The authors of this paper are the guest editors of this special issue on computational numerical control machining. The guest editors have extensive and complementary experiences in both academia and industry, gained in China, USA and UK.

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“…The accuracy may also be defined on the basis of technological conditions and the shape of the machined material [2]. The issue of dynamic Tool-center Point (TCP) adjustment is further dealt with in [3].…”

Section: Introductionmentioning

confidence: 99%

Elimination of Thermal Drift in Measuring the Positioning Accuracy of a Three Axis Milling Machine

Stejskal

Dovica

Demeč

et al. 2017

Adv. Sci. Technol. Res. J.

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The aim of this paper is to draw attention to more reliable verification method of positioning accuracy. The improvement lies in mathematical elimination of thermal impact during the measurement process. This thermal impact, always present during the motion of movable parts, is of a special systemic character. It increases the indefiniteness of measurement of the classic measurement method. This measurement uncertainty can be reduced by implementing the procedure introduced in this paper. The reduction can be achieved by separating the temperature impact from other sources of inaccuracy. Such separation is a very new solution. The methodology relies on mathematical processing and does not depend on the manner of accuracy measurement. The evaluation method also yields diagnostic information on the machine's condition. The experiments were performed with the use of laser interferometer.

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Modeling and improvement of dynamic contour errors for five-axis machine tools under synchronous measuring paths

Cited by 43 publications

References 28 publications

Contouring error control of the tool center point function for five-axis machine tools based on model predictive control

Contouring error control of the tool center point function for five-axis machine tools based on model predictive control

From computer-aided to intelligent machining: Recent advances in computer numerical control machining research

Elimination of Thermal Drift in Measuring the Positioning Accuracy of a Three Axis Milling Machine

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