Data synchronization by continuous spatial measurement with Double Ballbar

Rui-qing, Zhou; Kauschinger, Bernd; Ihlenfeldt, Steffen

doi:10.1016/j.measurement.2020.108909

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…The ballbar test was conducted within a hexapod-based machining cell outfitted with two FANUC F-200iB hexapods, a bench clamp, an electric spindle, and a supporting mechanical frame. The employed Renishaw QC20-W telescopic ballbar boasts an accuracy of 0.1 µm at 20 • C and a measurement range of ±1.0 mm (figure 6(b)) [39]. It was observed that the utilization of this sampling rate configuration in commercial Renishaw software cannot fully capture the complete extent of dynamic errors.…”

Section: Ballbar Measurement At Hmcmentioning

confidence: 99%

Optimizing dynamic measurement accuracy for machine tools and industrial robots with unscented Kalman filter and particle swarm optimization methods

Xing,

Bonev,

Champliaud

et al. 2024

Meas. Sci. Technol.

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The telescoping ballbar is widely utilized for diagnosing accuracy and identifying faults in machine tools and industrial robots. Currently, there are no established standards for determining the optimal feeding speed for ballbar tests. This lack of clear guidelines results in time inefficiency in measurements and inconsistencies in dynamic measurements, which complicates the comparison of ballbar test results under various conditions or across different machine platforms. To mitigate dynamic variations in ballbar results, an updated ballbar data processing method that integrates the unscented Kalman filter (UKF) and particle swarm optimization (PSO) was developed and validated using real ballbar data measured at multiple feeding speeds and simulated data with varying vibration magnitudes generated through the Renishaw ballbar simulator. Experimental results revealed that the dynamic components extracted from the ballbar results were observed to increase in correlation with the vibration measured at different feeding speeds and from the simulations. Moreover, the variations in the results measured at different feeding speeds after PSO-UKF processing were significantly reduced. The findings confirm the effectiveness of the proposed method in minimizing the dynamics of the ballbar results. Ultimately, this approach enhances the efficiency and accuracy of ballbar testing and offers a general method for improved diagnostics.

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Section: Ballbar Measurement At Hmcmentioning

confidence: 99%

Optimizing dynamic measurement accuracy for machine tools and industrial robots with unscented Kalman filter and particle swarm optimization methods

Xing,

Bonev,

Champliaud

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Furthermore, the controller of the industrial manipulators under investigation and the measurement instrument did not communicate bilaterally. Even if they could communicate, there could have existed a significant delay [29]. Thus, trigger signals were employed to facilitate data synchronisation.…”

Section: Transient Measurement Datamentioning

confidence: 99%

Influence of the velocity on quasi-static deflections of industrial articulated robots

Gonzalez

Theissen

Agirre³

et al. 2023

Int J Adv Manuf Technol

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This article presents the measurement and analysis of the influence of velocity on the quasi-static deflections of industrial manipulators of three different manufacturers. Quasi-static deflection refers to the deflection of the end effector position of articulated robots during movement at low velocity along a predefined trajectory. Based on earlier reported observations by the authors, there exists a difference in the static and quasi-static deflections considering the same points along a trajectory. This work investigates this difference to assess the applicability of robotic compliance calibration at low velocities. For this assessment, the deflections of three industrial articulated robots were measured at different speeds and loads. Considering the similarity among the robot models used in this investigation, this work also elaborates on the potential influence of the measurement procedure on the measured deflections and its implications for the compliance calibration of articulated robots. For all industrial articulated robots in this investigation, the quasi-static deflections are significantly larger than the static ones but similar in trend. Additionally, the magnitude of the quasi-static deflections presents a proportional relationship to the Cartesian velocity.

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“…By analyzing the arc trajectory measured by DBB, the motion accuracy of the machine tool can be obtained. Many methods have been proposed to evaluate the motion accuracy of the machine tools using the DBB [11][12][13][14][15][16][17][18]. Zhong et al [19] designed nine circular test paths of the DBB measurement in the XY, YZ and ZX planes of the machine tool, and proposed a spherical deviation measurement method based on circular paths, which can evaluate the volume accuracy of five-axis machine tools.…”

Section: Introductionmentioning

confidence: 99%

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

Wang,

Yue,

Yang

et al. 2023

Meas. Sci. Technol.

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The geometric accuracy of the CNC machine tools determines the quality of the sculptured mechanical parts. Measuring and compensating the geometric errors of machine tools can effectively improve the machining accuracy. However, traditional measurement methods using a double-ball bar(DBB) can only detect the error along the rod length direction and thus require multiple measurements in three orthogonal planes of the machine tool. This work proposes a fast error detection method for three-axis machine tools using combined double-ball bars (C-DBBs) based on the spatially circular detection (SCD) path. The test path of this method requires the simultaneous linkage of three linear axes of the machine tools and thus could identify 21 geometric errors of the three-axis machine tool. Firstly, the measuring principle of the SCD method is introduced, and the mathematical model for detecting 21 geometric errors of the machine tool based on the SCD method is established. Then, the detection experiment based on the SCD method is carried out, and it is shown that 21 geometric errors of the three-axis machine tool are obtained. Finally, the verification experiment using a traditional DBB is conducted to validate the effectiveness of the proposed SCD method. The radial errors in three orthogonal planes measured by traditional DBB exhibit a good agreement with those predicted using 21 geometric errors obtained by the SCD method. Compared with the traditional DBB method, the proposed SCD method could detect 21 geometric errors of three-axis machine tools in a single measurement. This work provides an effective and efficient methodology for detecting all geometric errors of the three-axis machine tool.

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Data synchronization by continuous spatial measurement with Double Ballbar

Cited by 6 publications

References 17 publications

Optimizing dynamic measurement accuracy for machine tools and industrial robots with unscented Kalman filter and particle swarm optimization methods

Optimizing dynamic measurement accuracy for machine tools and industrial robots with unscented Kalman filter and particle swarm optimization methods

Influence of the velocity on quasi-static deflections of industrial articulated robots

Fast detection of geometric errors for three-axis machine tools with combined double-ball bars based on spatial circle detection

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