Geometric error model and measuring method based on worktable for five-axis machine tools

Jiang, Lei; Ding, Guofu; Li, Zhuang; Zhu, Shaowei; Qin, Shengfeng

doi:10.1177/0954405412462944

Cited by 23 publications

(18 citation statements)

References 13 publications

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“…To reduce the impact of the geometric errors on the position and posture of the cutting tool, the accuracy retentivity and the influence of fluctuation caused by geometric errors should be considered for determining the optimum value. e flow chart of geometric error compensation based on the FOA [49], which considers the accuracy retentivity and the influence of fluctuation caused by geometric error, is shown in Figure 9. e basic steps of the FOA in this section are as follows [50]:…”

Section: Error Compensation Based On An Optimization Methodmentioning

confidence: 99%

“…e geometric errors of the linear axis and rotary axis can be measured with special measuring instruments, namely, a laser interferometer measurement system (LIM), plane grating, and DBB, which are recommended by ISO 230-1, and some feasible measurement methods are presented. e 10-line method needs to measure only the positioning errors of nine motion lines and one body diagonal by the synchronous motion of three axes [49]. e straightness errors need not be measured directly, and this approach also involves fewer measuring Complexity lines than the 12-line method and 9-line method.…”

Section: Geometric Error Measurementmentioning

confidence: 99%

“…In addition, the method can separate 21 geometric errors of the linear axes and is not dependent on geometric error models. Hence, the 10-line method is applied to determine the algebraic values of the linear error terms by using the Renishaw XL-80 LIM system, and error terms of the rotary axis are measured with the method described in reference [49]. Because the main region of machining movement is commonly in the central part of the guideway [31,34], and based on this, the measurement range is selected as part of the stroke of linear axes.…”

Section: Geometric Error Measurementmentioning

confidence: 99%

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A Recognition Methodology for the Key Geometric Errors of a Multi‐Axis Machine Tool Based on Accuracy Retentivity Analysis

2019

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This paper proposes a recognition methodology for key geometric errors using the feature extraction method and accuracy retentivity analysis and presents the approach of optimization compensation of the geometric error of a multiaxis machine tool. The universal kinematics relations of the multiaxis machine tool are first modelled mathematically based on screw theory. Then, the retentivity of geometric accuracy with respect to the geometric error is defined based on the mapping between the constitutive geometric errors and the time domain. The results show that the variation in the spatial error vector is nonlinear while considering the operation time of the machine tool and the position of the motion axes. Based on this aspect, key factors are extracted that simultaneously consider the correlation, similarity, and sensitivity of the geometric error terms, and the results reveal that the effect of the position-independent geometric errors (PIGEs) on the error vectors of the position and orientation is greater than that of the position-dependent geometric errors (PDGEs) of the linear and rotary axes. Then, the fruit fly optimization algorithm (FOA) is adopted to determine the compensation values through multiobjective tradeoffs between accuracy retentivity and fluctuation in the geometric errors. Finally, an experiment on a four-axis horizontal boring machine tool is used to validate the effectiveness of the proposed approach. The experimental results show that the variations in the precision of each test piece are lower than 25.0%, and the maximum variance in the detection indexes between the finished test pieces is 0.002 mm when the optimized parameters are used for error compensation. This method not only recognizes the key geometric errors but also compensates for the geometric error of the machine tool based on the accuracy retentivity analysis results. The results show that the proposed methodology can effectively enhance the machining accuracy.

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Section: Error Compensation Based On An Optimization Methodmentioning

confidence: 99%

Section: Geometric Error Measurementmentioning

confidence: 99%

Section: Geometric Error Measurementmentioning

confidence: 99%

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A Recognition Methodology for the Key Geometric Errors of a Multi‐Axis Machine Tool Based on Accuracy Retentivity Analysis

2019

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“…The translation can be represented by HTM T , while rotation can be represented by HTM R . 12,25 According to the principle of movement, the registration for the measured point can be expressed as…”

Section: The Registration Theorymentioning

confidence: 99%

A workpiece registration and localization adjustment method with contact inspection under multi-tolerance conditions

Jiang

Han

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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The workpiece contour errors from previous process affect current process. In order to improve workpiece allowance distribution, this article presents a workpiece registration and localization adjustment method with contact inspection. According to the analysis of machining deviation, the rotational and translational registration matrixes from multi-tolerance surfaces to workpiece are obtained by surface characteristic and translational vectors. The workpiece localization (position and orientation) adjustment can be realized by transforming coordinate systems of 5-axis machine tool. Through adaptive and iterative registration and adjustment, the optimized workpiece localization for current process is obtained. The experimental results show that the method can improve allowance uniformity effectively.

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“…3,4 Research of the milling head focuses on how to improve the transmission and positioning precision, increase the drive torque and enhance the system stiffness. 5 Recently, all aspects of the system performance have been improved, but there are few successful cases that take all the indicators into account; thus, it is fairly important to improve the positioning precision and driving torque of the milling head simultaneously. [6][7][8] The milling head used for study is mainly based on the worm gear transmission mechanism; compared with the rolling engagement of the traditional gear transmission, engagement of the worm gear is pure sliding.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear dynamic modeling and adaptive sliding control of the milling head for efficient and powerful machining

Zhao

Huang

Shi

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Milling head is an essential assembly in the five-axis computer numerical control machine tools, positioning precision of which directly affects the machining accuracy and surface quality of the processed parts. Considering the influence of nonlinear friction in the transmission mechanism and the uncertain cutting force disturbance on the control precision of the milling head, the static and dynamic performances of the milling head are analyzed; relationships among the drive torque, load torque, motion direction and system parameters are discussed; and, finally, nonlinear dynamic model of the milling head is established. A novel adaptive sliding mode control scheme based on the variable switching gain and the adjustable boundary thickness is proposed for this nonlinear dynamic model; the stability of the closed-loop system is guaranteed by the Lyapunov theory. Experimental results show that the proposed adaptive sliding mode control can reduce the chattering in the traditional sliding mode control and can achieve high control precision without knowing the boundaries of uncertainties in advance.

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Geometric error model and measuring method based on worktable for five-axis machine tools

Cited by 23 publications

References 13 publications

A Recognition Methodology for the Key Geometric Errors of a Multi‐Axis Machine Tool Based on Accuracy Retentivity Analysis

A Recognition Methodology for the Key Geometric Errors of a Multi‐Axis Machine Tool Based on Accuracy Retentivity Analysis

A workpiece registration and localization adjustment method with contact inspection under multi-tolerance conditions

Nonlinear dynamic modeling and adaptive sliding control of the milling head for efficient and powerful machining

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