Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle

Zimmermann, Nico; Ibaraki, Soichi

doi:10.1007/s00170-020-05105-3

Cited by 16 publications

(9 citation statements)

References 25 publications

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Section: Introductionmentioning

confidence: 99%

“…The torque and angle parameters are important parameters in the power system [1] . The accuracy of the result will affect the control angle speed and angle accuracy of the corresponding rotary joint [1] . Therefore, it is necessary to perform a calibration test on the sensors in the system, and a necessary step before calibration is to analyze the error source of the calibration [1] .…”

Section: Introductionmentioning

confidence: 99%

“…The accuracy of the result will affect the control angle speed and angle accuracy of the corresponding rotary joint [1] . Therefore, it is necessary to perform a calibration test on the sensors in the system, and a necessary step before calibration is to analyze the error source of the calibration [1] . Based on a torque and inversion angle unit structure, this paper conducts a static analysis of multiple components of the system and analyzes in detail what error sources exist, which is of great significance for the subsequent calibration of the sensor [2] .…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Error Sources of a Torque and Rotation Angle Calibration Unit Based on Statics

Zhao,

Wang,

Shou

et al. 2023

J. Phys.: Conf. Ser.

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The structure and working principle of the torque calibration unit, the index angle calibration unit, and the loading mechanism are introduced. Using finite element analysis tools for static analysis, the error sources of the calibration process are obtained and the influence on the calibration results is analyzed. Among them, the influence of connecting rod deformation, torque transmission characteristics, and flexible deformation on the calibration accuracy is small and can be ignored. Bearing friction, coaxiality, and micro-deformation of the test bench are inherent errors of the system. For its own inherent error attribute, it will not affect the relationship between the sensor to be calibrated and the standard sensor on the output shaft of the index test bench, that is, it will not affect the calibration process of the sensor to be calibrated later.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Error Sources of a Torque and Rotation Angle Calibration Unit Based on Statics

Zhao,

Wang,

Shou

et al. 2023

J. Phys.: Conf. Ser.

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“…The application of on-machine measurement (OMM) reduces cycle times and improves efficiency. Recently, it is gaining popularity as an alternative to traditional interferometry-based techniques to identify geometric errors in machine tools [15][16][17]. The identification accuracy of the OMM-based method is typically lower than that of the traditional interferometrybased method, mostly due to the lower measurement accuracy of the instrument and insufficient insight on the identification uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty assessment of machine tool squareness error identification using on-machine measurement

Tang,

Feng,

et al. 2023

Meas. Sci. Technol.

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Identification and compensation of geometric errors in the machine tool are widely performed to increase machining accuracy. Periodic verification of the geometric errors, as introduced in ISO 230-2, helps monitor the machine tool accuracy during continued manufacturing operation and detect accuracy degradation early on. While interferometry-based error identification techniques are commonly applied, on-machine measurement (OMM), with its increasing availability to machine tools, can be used to identify geometric errors as an alternative to traditional interferometry-based techniques. As geometric errors also contribute to OMM error, assessment of the uncertainty of error identification is essential to ensure the reliability of the identification. This work presents a method to evaluate the uncertainty in the OMM-based geometric error identification process by Monte Carlo simulation. The error ellipse model, which represents OMM errors with better accuracy, is utilized to improve the identification uncertainty. The squareness errors, as position-independent geometric errors that contribute to machining inaccuracy, are taken as an example to demonstrate the presented method. The influence of the artifact setup errors on the error identification is also investigated. A series of experiments are conducted to evaluate the uncertainty of the OMM-based identification method. The geometric error obtained with the presented method is found to deviate by less than 10% from that obtained with an interferometry-based commercial instrument. The uncertainty obtained from the proposed Monte Carlo simulation method matches well with the uncertainty results obtained by the Guide to the Expression of Uncertainty in Measurement method and repeated measurements.

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“…1–7 For the precision evaluation of the rotational performance of a spindle, five-degrees-of-freedom (5-DOF) error motion components should be measured accurately using the runout data of the rotational parts. 1,8–15 However, the runout data obtained from artifacts, which are widely used for the precision measurement of rotational error motions, contain form error signals of the artifacts’ surfaces. These undesired signals must be minimized or compensated.…”

Section: Introductionmentioning

confidence: 99%

Measurement of five-degrees-of-freedom spindle error motion using multi probe error separation

Baek

Hwang

Cho

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Herein, a precision measurement method is proposed to evaluate the radial, axial, and tilt error motions of rotating devices such as precision spindles. To improve the accuracy of the estimated multiple-degree-of-freedom error motion components, form error signals in the runout signals are separated and precompensated for before the calculation of the five-degrees-of-freedom error motion components. Fourier model-based multi probe error separation (MPES) techniques, which can prevent the occurrence of harmonic distortions, are applied to separate the form error signals. A three-probe method is applied to layers on the side surface of the cylindrical artifact, and a modified two-probe method is developed and applied to the upper surface. The radial, tilt, and axial error motions are calculated using the runout signals that do not contain the separated form error signals. The measurement system uses eight capacitive probes to detect the runout signals of the cylindrical artifact mounted at the center of the rotating device. To compare the proposed method with the five-probe-based conventional measuring method, an evaluation test simulation is conducted repeatedly five times. Results indicate that the proposed MPES method calculated the uncertainty using the deviation between the computed results from the existing and novel methods; additionally, the input signal in terms of the radial, tilt (layers 1 and 2), and axial error motions are [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text], respectively. It is confirmed that the undesirable effects of the form error signals are successfully removed and that the accuracies of the measured spindle error motion components improve.

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Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle

Cited by 16 publications

References 25 publications

Analysis of Error Sources of a Torque and Rotation Angle Calibration Unit Based on Statics

Analysis of Error Sources of a Torque and Rotation Angle Calibration Unit Based on Statics

Uncertainty assessment of machine tool squareness error identification using on-machine measurement

Measurement of five-degrees-of-freedom spindle error motion using multi probe error separation

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