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Investigation of instabilities in mechanical face seals: prediction of critical speed values

  • Silvia Logozzo
  • Maria Cristina ValigiEmail author
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)

Abstract

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.

Keywords

Mechanical face seal Friction instabilities ANN 

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References

  1. 1.
    Ibrahim RA.: Friction-induced vibration, chatter, squeal and chaos Part I: Mechanics of contact and friction. Applied Mechanics Reviews 47(7) , 209-226 (1994).CrossRefGoogle Scholar
  2. 2.
    Ibrahim RA. :Friction-induced vibration, chatter, squeal and chaos Part II: Dynamics and modeling. Applied Mechanics Reviews 47(7), 227-253 (1994).CrossRefGoogle Scholar
  3. 3.
    Klein J.: Frictional dissipation in stick-slip sliding. Physical Review Letters 98(056101), 1-4 (2007).Google Scholar
  4. 4.
    Nakano K.: Two dimensionless parameters controlling the occurrence of stick-slip motion in a 1-DOF system with Coulomb friction. Tribology Letters 24(2), 91-98 (2006).CrossRefGoogle Scholar
  5. 5.
    Green I.: A transient dynamic analysis of mechanical seals including asperity contact and face deformation. Tribology Transactions. 45(3), 284-293 (2002).CrossRefGoogle Scholar
  6. 6.
    Green I, Etsion I.: Stability threshold and steady-state response of noncontacting conedface seals. ASLE Trans 28(4), 449-460 (1985).CrossRefGoogle Scholar
  7. 7.
    Sharifzadeh M, Timpone F, Farnam A, Senatore A, Akbari A. Tyre-road adherence conditions estimation for intelligent vehicle safety applications. Mechanisms and Machine Science 47, 389-398 (2017).Google Scholar
  8. 8.
    Braccesi C, Valigi M C.: Undesired acoustic emissions of mechanical face seals: Model and simulations. Tribology International 71, 125-131 (2014).CrossRefGoogle Scholar
  9. 9.
    Valigi MC, Braccesi C, Cianetti F, Logozzo S. Stick-slip simulation and detection in mechanical face seals. in Proceedings of the ASME 2015 International Mechanical Engineering Congress & Exposition, 13-19 November, Houston, Texas, USA., Houston, Texas, USA, (2015).Google Scholar
  10. 10.
    Valigi MC, Braccesi C, Logozzo S. A parametric study on friction instabilities in mechanical face seals. Tribology Transactions. 59 (5), 911-922 (2016).CrossRefGoogle Scholar
  11. 11.
    Valigi MC, Braccesi C, Logozzo S, Conti L, Borasso M. A new telemetry system for measuring the rotating ring’s temperature in a tribological test rig for mechanical face seals. Tribology International.106, 71-77 (2017).CrossRefGoogle Scholar
  12. 12.
    Kavimani V, Prakash KS. Tribological behaviour predictions of r-GO reinforced Mg composite using ANN coupled Taguchi approach. Journal of Physics and Chemistry of Solids. 110, 409-419 (2017).CrossRefGoogle Scholar
  13. 13.
    Pati PR, Satapathy A. Triboperformance analysis of coatings of LD slag premixed with TiO2 using experimental design and ANN. Tribology Transactions 58(2), 349-356 (2015).CrossRefGoogle Scholar
  14. 14.
    Mojena MR, Roca AS, Zamora RS, Orozco MS, Fals HC, Lima CC. Neural network analysis for erosive wear of hard coatings deposited by thermal spray: Influence of microstructure and mechanical properties. Wear 376-377, 557-565 (2017).CrossRefGoogle Scholar
  15. 15.
    Pinto, M., Roveri, N., Pepe, G., Nicoletti, A., Balconi, G., Carcaterra, A; Extraction of the beam elastic shape from uncertain FBG strain measurement points. In Mechanisms and Machine Science, 68, 362-369 (2019).Google Scholar
  16. 16.
    Hagan, M.T., Demuth, H.B., Beale, M.H., De Jesús, O.: Neural Network Design, 2nd edn. 17.Google Scholar
  17. 17.
    Henry, Y., Bouyer, J., Fillon, M.; An experimental analysis of the hydrodynamic contribution of textured thrust bearings during steady-state operation: A comparison with the untextured parallel surface configuration. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 229(4), 362-375 (2015).CrossRefGoogle Scholar
  18. 18.
    Reynolds O On the theory of lubrication and its application of Mr. Beauchamp Tower’s Experiments Phil. Tran. of the Roy. Soc. 177, 157-234 (1886).Google Scholar
  19. 19.
    Patir N, Cheng HS. An average flow Model for determining effects of three-dimensional roughness on partial hydrodynamic lubrication. Journal of Lubrication Technology 100, 12-17 (1978).CrossRefGoogle Scholar
  20. 20.
    Lebeck AO. Principles and design of mechanical face seal, New York: Wiley Interscience Publication, (1991).Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of EngineeringUniversity of PerugiaPerugiItaly

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