Noack G. Berechnung hydrodynamisch geschmierter Gleitlager dargestellt [ 19] VDI Richtlinie ; Düsseldorf –  Lang O R, Steinhilper W. Gleitlager. VDI-Z. () 14, p. Lang, O.R.: Moderne Berechnungsverfahren bei der Auslegung von Dieselmotoren. 69 Lang, O.R.; Steinhilper, W.: Gleitlager. O.R. Lang and W. Steinhilper. Gleitlager. Springer, A. Boyaci, H. Hetzler, W . Seemann, C. Proppe, and J. Wauer. Analytical bifurcation analysis of a rotor.
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This corresponds with the abrupt increase of the torque signal. A detailed examination of the variables, which are normally involved in the friction process, determined that physical and mechanical parameters of the friction surface, where steel surfaces lwng involved, did not generate appreciably differing results.
These vibrations are attributed to the noise emitted by the test bench motor.
Monitoring Lubrication Regimes in Sliding Bearings
The test bench consists of a steel shaft supported by two bearings. Numerous failure symptoms can be identified at an increased noise level or at a typical frequency range. Sliding Bearing Test Bench. Frequency Spectra of Undamaged Steinhil;er. The Best Gets Better: Time Variation of the Frequency Spectra.
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In Steimhilper 6, the value of this integral is given next steijhilper the progress courses of load, torque and bearing back temperature. This can be steinhiilper in boundary, mixed or elastohydrodynamic lubrication regimes as well as by the appearance and propagation of cracks, fracture processes, cavitations phenomena and phase changes, or through plastic deformations.
These results support an argument for the use of AE analysis to be used as a condition surveillance method for sliding bearings based on the correlation between the friction condition and the measuring average noise level. The adjusted limiting of noise level plays a central role in this procedure, while amplitudes too high or too low can generate incorrect diagnostics.
Toggle navigation Toggle search. Wissenschaftliche Berichte THZ For continuous surveillance systems, significant storage and processing capacity is required to manage the relatively large amounts of data and processing algorithms.
The progress of the bearing damage can be clearly observed. Frequency Spectra of Undamaged Bearings Figure 4 shows the frequency spectrum for an undamaged surface under hydrodynamic dteinhilper and slight load is shown against the frequency spectrum for a failed bearing.
Machine-specific data collection parameters and data management functions will need to be developed to enable integration of the right criteria, and identification of incipient failure.
Sliding Bearing Test Bench The test bench enables testing with half- and complete shells. The gleitlagee force was increased to the point where asperity contacts began to occur. By calculating the impulse density, conclusions on the existence lnag damages in bearings can be determined. The AE-sensor was mounted on the outside of the housing Figure 3. Create your own user feedback survey. All of the variables – shell material, speed, temperature and lubricant viscosity – are of interest.
Monitoring Lubrication Regimes in Sliding Bearings
The new procedure principle proposes the use of glditlager frequency and amplitude to prematurely detect bearing failures. An increase of the amplitude in the range between approximately 80 kHz and kHz in the failure can be clearly recognized.
To the right of the mixed lubrication regime, the subsequent increasing of the Stribeck-curve is referred to as the elastohydrodynamic regime. Maintenance Services and Products.
At the Institute of Product Development of the University of Karlsruhe, the procedure of acoustic emission AE analysis to detect damage in sliding bearings is being examined. In Figure 5, the variation in time of every frequency spectral analysis is properly arranged.
The result of the measurement using a Glyco 40 half-shell under slowly increasing continuous load, with a speed of 3, rpm, is represented in Figure 5.
The monitoring of the bearing back temperature, which is often used to supervise bearings, clearly reacted later than the AE signal. Further investigations presented similar results although lqng shells with different diameters and materials were used. It can be mounted far away from the metallic contacts and therefore outside of the housing. The region up to the minimum of the Stribeck-curve is determined through boundary and mixed lubrication.
The frequency range of the noise emission extends from audible to ultrasonic. The increase of the composite acoustic spectral emission precedes the increase observed in the torque and temperature curve. Therefore, it must be measured in an ultrasonic range, at approximately kHz, where normal operating vibrations of machines and engineering equipment have no influence.
The noise emerging from metallic contacts between sliding surfaces is measured with emission acoustic sensors and further evaluated by spectral analysis. On the basis of these severities, this measurement procedure shows a large potential for a practical use in the early recognition of bearing failures. Starting at the 16th test series, the amplitude in the range between 80 to kHz is clearly setinhilper, showing the beginning of metallic contact between shaft and shell, and eventually leading to a bearing failure.
This response is characteristic to all the tests conducted and was observed in the generation of bearing damage. Munsterman, About the Author M.
The characteristic curve falls to a minimum value and then increases. Time Variation of the Frequency Spectra In Figure 5, the variation in time of every frequency spectral analysis is properly arranged. This causes a saturation of many machine components, for example, sliding bearings. Sealed or Shielded Bearings?