Effect of Thermal Expansion on the Dynamics of Rolling-element Bearing

Ambrożkiewicz, Bartłomiej; Gassner, Alexander; Meier, Nicolas; Litak, Grzegorz; Georgiadis, Anthimos

doi:10.1016/j.procir.2022.09.064

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…The key challenges are in the early detection of damage, allowing optimal maintenance and, as a result, reduced cost. There are various sensing methods to detect faults in the bearings, such as vibration monitoring [ 9 , 10 ], wear debris monitoring [ 11 ], temperature monitoring [ 12 , 13 ], non-destructive testing [ 14 , 15 ], and so on [ 16 , 17 ]. However, some methods are not effective for determining the early faults’ condition.…”

Section: Introductionmentioning

confidence: 99%

Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings

Nguyen

Bernadet

et al. 2023

Polymers

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This paper reports a novel monitoring technique of bearings’ bidirectional load (axial and radial) based on a smart sensor coating, which is screen printed onto the surface of a cross-shaped steel substrate. To ensure the accuracy and stability of measurement as well as the durability of the printed coating, the developed prototype is built according to design rules commonly used in electronic circuits. The finite element model (FEM) is used to predict the mechanical property of the tested substrate under either unidirectional or bidirectional loads. Regarding the output voltage of the piezoelectric sensor, experimental results are revealed to be well-corelated to the numerical simulation. It is pointed out that the output signal generated from the sensor (electrode) could be particularly affected due to the capacitive parasite coming from the conductive tracks (CTs). Such a phenomenon might be reduced by printing them on the dielectric layer rather than on the piezocomposite layer. The study also investigates a highly anisotropic shape of electrodes (rectangular instead of circle), indicating that the orientation of such electrodes (axial or radial) does affect the output measurement. To sum up, the high performance of a sensor network coating depends not only on the ultimate characteristics of its own materials, but also on its structural design. Such an issue has been rarely reported on in the literature, but is nonetheless crucial to achieving reliable condition monitoring of bearings, especially for multidirectional loads—a key signature of early failure detection.

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Section: Introductionmentioning

confidence: 99%

Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings

Nguyen

Bernadet

et al. 2023

Polymers

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“…There are some features regarding the variability of the radial internal clearance, which, without doubt, the contamination and thermal effects are. In the thermographic inspection, Miskovic et al [8] found a dependence between the amount of contamination and its effect on the operating clearance value during rotation [9]. The recent trend is focused on the automatic diagnosis of radial internal clearance by studying the dynamics of rolling-element bearings.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods

Ambrożkiewicz

Syta

Georgiadis

et al. 2023

Sensors

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This article classifies the dynamic response of rolling bearings in terms of radial internal clearance values. The value of the radial internal clearance in rolling-element bearings cannot be described in a deterministic manner, which shows the challenge of its detection through the analysis of the bearing’s dynamics. In this article, we show the original approach to its intelligent detection through the analysis of short-time intervals and the calculation of chosen indicators, which can be assigned to the specific clearance class. The tests were carried out on a set of 10 brand new bearings of the same type (double row self-aligning ball bearing NTN 2309SK) with different radial internal clearances corresponding to individual classes of the ISO-1132 standard. The classification was carried out based on the time series of vibrations recorded by the accelerometer and then digitally processed. Window statistical indicators widely used in the diagnosis of rolling bearings, which served as features for the machine learning models, were calculated. The accuracy of the classification turned out to be unsatisfactory; therefore, it was decided to use a more advanced method of time series processing, which allows for the extraction of subsequent dominant frequencies into experimental modes (Variational Mode Decomposition (VMD)). Applying the same statistical indicators to the modes allowed for an increase in classification accuracy to over 90%.

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“…Data on the heat release of friction units can serve as an indicator of their technical condition and a combination of effective methods, techniques and technical means for diagnosing mechanical transmission units will provide increased reliability [1][2][3][4][5]. For bearing assemblies, measuring not the amount of heat released but the friction temperature in the wear zone is advisable.…”

Section: Introductionmentioning

confidence: 99%

Procedure for Simulation of Stable Thermal Conductivity of Bearing Assemblies

Pastukhov¹,

Timashov²

2023

adeletters

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The article developed a methodological basis for implementing automatic diagnostics based on thermal analysis of bearing assemblies. The diagnostic criteria of the technical operation condition and the procedure for determining the temperature ratio inside and outside the bearing unit based on the finite element analysis (FEA) of stable thermal conductivity have proven to be justified. Method of simulation of stable thermal conductivity of bearing units using KOMPAS-3D software and APM FEM finite element analysis module is proposed. The developed method was tested in practice and verified based on the results of theoretical and experimental studies. The developed method enables the determination of the relationship between the observed temperature on the surface of the bearing units and the friction temperature in the wear zone.

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Effect of Thermal Expansion on the Dynamics of Rolling-element Bearing

Cited by 3 publications

References 8 publications

Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings

Design Rules of Bidirectional Smart Sensor Coating for Condition Monitoring of Bearings

Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods

Procedure for Simulation of Stable Thermal Conductivity of Bearing Assemblies

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