Load Measurement in Linear Guides for Machine Tools

Krampert, David; Unsleber, Sebastian; Janssen, Christoph; Reindl, Leonhard M.

doi:10.3390/s19153411

Cited by 9 publications

(5 citation statements)

References 24 publications

(26 reference statements)

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“…Likewise, single-phase spindle currents are measured to monitor the health state of a feed drive [51]. Alternative sensing methods include the use of Hall effect sensors [52], cameras [53], an inertial measurement unit (IMU) [54][55][56][57][58], piezoresistive materials [59][60][61][62], strain gauges [61,63,64], and tactile load cells [65].…”

Section: Condition Monitoringmentioning

confidence: 99%

“…Force and stress analyses are used to examine the relationship between feed velocity and preload in ball screws [104] and the use of piezoresistive films in linear guides [62].…”

Section: Deterministic Modelsmentioning

confidence: 99%

“…Linear encoder [111] -KF [111] Prognosis/RUL -Vibration [112][113][114] Exponential [112,113], PF [112][113][114] Sensing methods/ technologies -Vibration [115] K F [ 115] Other methods Rotary encoder [116], linear encoder [116], torque [116], NC data [117] -Adaptive estimation [116], parameter estimation [117] Linear guide/slide Wear/degradation Current [118] Vibration [119], strain [64], capacitance [119] Analytic [62,64,118,119] Preload and force -Vibration [102,120], strain [63], piezoresistive [62] EMA [102], OMA [120], empirical [63],…”

Section: Fault Detection/ Diagnosismentioning

confidence: 99%

“…The straightness of the guideway can be determined and the onset of preload loss of the guide can be detected. Krampert et al [62] apply a piezoresistive diamond-like-carbon (DiaForce ® ) coating to monitor the stresses imparted on the contact side of the carriage runner block. Measurements compared to FEM and analytical simulations show good agreement.…”

Section: Preload and Forcementioning

confidence: 99%

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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: Condition Monitoringmentioning

confidence: 99%

“…Force and stress analyses are used to examine the relationship between feed velocity and preload in ball screws [104] and the use of piezoresistive films in linear guides [62].…”

Section: Deterministic Modelsmentioning

confidence: 99%

Section: Fault Detection/ Diagnosismentioning

confidence: 99%

Section: Preload and Forcementioning

confidence: 99%

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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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“…Kwang-Je Oh et al [24] developed a testbed to measure the friction force of the linear motion ball guide with preload, compare measured frictional forces with predicted values and analyze the friction force components. Krampert et al [25] integrated sensors into a linear guide and implemented a method for capturing the load on a rolling element linear guide by measuring the stresses resulting from the rolling element contact at the side of the runner block. They also compared obtained measurements with analytical and nite element method simulation.…”

Section: Introductionmentioning

confidence: 99%

On the determination of the friction-caused energy losses and its potential for monitoring industrial tribomechanical systems

Miljanić,

Milovanović,

Vukelić

et al. 2023

Int J Adv Manuf Technol

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The paper refers to a new method to quantify the energy losses due to frictional effects and imperfections in contacts in the case of real industrial tribomechanical systems. Whereby energy losses represent an integral indicator of quality of the real industrial tribomechanical system, in terms of the characteristics of the contact element materials, geometric accuracy, and manufacturing and assembly errors. This paper presents a very complex theoretical model based on the differential equation of motion of a real tribomechanical system down a steep plane. The outputs of the theoretical model are exact mathematical expressions that de ne the current values of the coe cient of friction and the frictioncaused energy losses. The measuring system enables the quanti cation of current values of the distance traveled per unit of time. Based on a series of experimentally determined values of distance traveled per unit of time, the values of energy losses of the real industrial tribomechanical system are determined using the developed theoretical model and the appropriate software support. The obtained results indicate a high reliability, a large potential and a wide range of possible applications of the proposed method.

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