Investigation of instabilities in mechanical face seals: prediction of critical speed values
Friction instabilities, such as stick-slip and oscillations in the sliding systems, cause detrimental phenomena that can generate positioning errors, poor surface roughness, noise and accelerated wear. In the automotive industry, many components could be affected by those undesired phenomena during deceleration regimes. The friction and wear behavior of mechanical face seals is ruled by lubrication conditions. Simulations based on tribo-dynamic models explain the occurring of friction instabilities during the operating conditions, describing different lubrication regimes: (i) full film or hydrodynamic lubrication regime, (ii) mixed lubrication regime and (iii) boundary lubrication regime. To avoid or limit instabilities it is fundamental selecting proper design parameters. Aim of the present paper is the set-up of a very fast and smart method to know how to reduce instabilities by tuning the correct dynamical parameters since the design phase. The proposed tool is based on ANNs that, even if it is not able to explain the frictional instability phenomena, as analytical models do, it allows to quickly investigate the ranges of parameters with respect to the operating range.
KeywordsMechanical face seal Friction instabilities ANN
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