Condition Monitoring of Ball-Screw Drives Based on Frequency Shift

Xi, Tiandong; Kehne, Sebastian; Fujita, Tomoya; Epple, Alexander; Brecher, Christian

doi:10.1109/tmech.2020.2969846

Cited by 20 publications

(12 citation statements)

References 6 publications

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“…Likewise, an exponential Wiener process is used to predict the RUL [112]. BPF [67,71], OMA [51,101,100] Preload loss -Vibration [52,102,103], force [104], Hall sensor [52] EMA [102,103], OMA [52], analytic [104] Backlash Rotary encoder [76,83,[105][106][107], linear encoder [76,108,109,105,106], NC data [105,110] -Error [83,108,109,105], EMA [110], algorithm [107], analytic [76,105], adaptive estimation [106]…”

Section: Stochastic Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Condition Monitoring of Machine Tool Feed Drives: A Review

Butler

Ziada

Stephenson

et al. 2022

Journal of Manufacturing Science and Engineering

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The innovations propelling the manufacturing industry towards Industry 4.0 have begun to maneuver into machine tools. Machine tool maintenance primarily concerns the feed drives used for workpiece and tool positioning. Condition monitoring of feed drives is the intermediate step between smart data acquisition and evaluating machine health through diagnostics and prognostics. This review outlines the techniques and methods that recent research presents for feed drive condition monitoring, diagnostics and prognostics. The methods are distinguished between being sensorless and sensor-based, as well as between signal-, model- and machine learning-based techniques. Close attention is given to the components of feed drives (ball screws, linear guideways and rotary axes) and the most notable parameters used for monitoring. Commercial and industry solutions to Industry 4.0 condition monitoring are described and detailed. The review is concluded with a brief summary and the observed research gaps.

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Section: Stochastic Modelsmentioning

confidence: 99%

“…In a sensorless, but offline fashion, Xi et al [110] monitor the effects of backlash on the first resonant frequency of the speed control loop measured by the NC. Axial screw nut stiffness was reduced and backlash added by the implementation of a custom built sleeve mounted next to the nut.…”

Section: Backlash Monitoringmentioning

confidence: 99%

Condition Monitoring of Machine Tool Feed Drives: A Review

Butler

Ziada

Stephenson

et al. 2022

Journal of Manufacturing Science and Engineering

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show abstract

“…Feng and Pan [26] established a mathematical model of the ball screw and diagnosed the preload variation by the slide of peak frequency and the magnitude of the peak frequency. Xi et al [27] developed a multi-mass model to simulate the frequency shift of the machine axis dependent on wear.…”

Section: B Related Workmentioning

confidence: 99%

“…Investigation reveals that the backlash generated by wear is considered to be a significant indicator reflecting the precision degradation status of the ball screw [10], [27].…”

Section: Contributions Of This Articlementioning

confidence: 99%

Erratum to “Remaining Useful Life Prediction of Ball Screw Using Precision Indicator” [2021 Art. no. 3519509]

Yang

Jiang

Sun

et al. 2021

IEEE Trans. Instrum. Meas.

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“…Whalley R 4 studied the axial and torsional deformation of ball screw by using the method of continuous beam model, and established the mathematical model of servo feed system. The fairly mature approach for modeling the screw drive feed system is to use the lumped mass method to model the elastic screw drive system, [5][6][7][8][9][10][11] Feng GH 5 constructed a preload-adjustable ball screw feed drive system based on a modified double nut structure, meanwhile, proposed a lumped dynamic model to study the preload variation of the system. Liu D 6 modeled the elastic ball screw drives system through lumped mass method, and calculated the frequency response characteristic by Lagrange energy method and state space analysis.…”

Section: Introductionmentioning

confidence: 99%

Dynamic characteristics analysis and experimental of differential dual drive servo feed system

Zhang

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper presents the design for a new differential-dual-drive low-speed micro-feed mechanism. The ‘nut rotary ball screw pair’ is the main driving component of the mechanism. The screw and nut are each driven by a servo motor and these motors rotate in the same direction at a similar speed. The nonlinear factors such as friction and backlash can lead to unstable behaviours such as stick-slip and oscillation of the feed system. We use the Euler–Bernoulli beam elements, which have axial and torsional degrees of freedom, to describe the axial and torsional vibration of the ball screw, and use the spring-lumped parameter method to analyse other components of the feed system. An electromechanical coupling dynamic model with nonlinear factors of friction and clearance is established. Through simulation analysis and experiment, the difference in response of single-drive and differential-dual-drive systems under the influence of friction and clearance is studied. The results show that the nonlinear factors of friction and clearance have an influence on the feed speed of single-drive and differential-dual-drive system, but the low-speed micro-feed performance of the differential-dual-drive system is evidently better than that of the single-drive system. In the experiment, under the condition of screw single drive and differential dual drive, the critical crawling velocities of the table are measured. The experimental results are consistent with the simulation results, which verifies that the established models are reasonable. This lays a foundation for the design and research of the controller.

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Condition Monitoring of Ball-Screw Drives Based on Frequency Shift

Cited by 20 publications

References 6 publications

Condition Monitoring of Machine Tool Feed Drives: A Review

Condition Monitoring of Machine Tool Feed Drives: A Review

Erratum to “Remaining Useful Life Prediction of Ball Screw Using Precision Indicator” [2021 Art. no. 3519509]

Dynamic characteristics analysis and experimental of differential dual drive servo feed system

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