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  • 1 Institute for Sustainable Technologies—National Research Institute, ul. Pulaskiego 6/10, Radom 26-600, Poland
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Abstract

The lubricants based on vegetable oils, as environmental friendly, are urgently sought. However, in addition to ecological characteristics, the lubricating properties have to be met. To meet these requirements the active additives influencing the lubricating properties and oxidation resistance are used. The useful lifetime of lubricants is determined largely by their abilities to resist oxidation. The article presented the results of new, ecological lubricants development. The oxidation performances of different developed lubricants have been tested. The experimentally determined oxidation stability of the compositions based on vegetable oils are presented. Analysed oxidation onset temperature was obtained from the differential scanning calorimetry (DSC) curves, which provides the rapid prediction of the oxidative stability of lubricants. Besides the lubricating composition based on vegetable oils, the developed greases-based mineral, or synthetic oil were investigated. The properties of these greases were evaluated using the measurement of parameters describing structure (penetration) and resistance to high temperature (dropping point). The lubricating properties of both the greases and vegetable oil compositions were tested on four-ball testing machine. In the results of the modelling of the lubricating properties the neural network models for the both types of the lubricants were developed. A discussion of the research results and analysis of models validity is given below. The experimental results are compared with the calculated using the neural models. An acceptable agreement was achieved.

  • 1. Lugt, MP 2009 Review on grease lubrication in rolling bearings. Tribol Transduct. 52 4 470480 .

  • 2. Cann, PM, Hurley, S 2002 Friction properties of grease in elastohydrodynamic lubrication. NLGI Spokesm. 66:615.

  • 3. Delgado, MA, Franco, JM, Kuhn, E 2008 Effect of rheological behaviour of lithium grease on the friction process. Indus Lubr Tribol. 60 1 3745 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4. Drabik J ., Pawelec E. Oxidation stability and tribological properties of non-toxic grease. In: ECOTRIB’07 European conference on tribology and final conference of COST 532 action. Slovenia: Triboscience and Tribotechnology; 2007. p. 435442.

    • Search Google Scholar
    • Export Citation
  • 5. Ossia, CV, Han, HG, Kong, H 2009 Response surface methodology for eicosanoic acid triboproperties in castor oil. Tribol Int. 42:5058 .

  • 6. Causseau, T, Graca, B, Campos, A, Seabra, J 2011 Friction torque in grease lubricated thrust ball bearings. Tribol Int. 44:523531 .

  • 7. Delgado, MA, Valencia, C, Sa′nchez, MC, Franco, JM, Gallegos, C 2006 Thermorheological behaviour of a lithium lubricating grease. Tribol Lett. 23:4754 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8. Bystrzejewski, M, Huczko, A, Lange, H, Drabik, J, Pawelec, E 2007 Influence of C60 and fullerene soots on the oxidation resistance of vegetable oils. Fullerenes Nanotubes Carbon Nanostructures. 15:427438 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9. Keating, MY, Howell, JL 2011 Decomposition of perfluoropolyether lubricants. A study using TGG–MS in the presence of alumina powder. J Therm Anal Calorim 106:213220 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10. Ungureşan, M-L, Màicàneanu, A, Dulf, F-V, Dulf, E-H, Gligor, DM 2010 Application of linear regression analysis for iron and copper removal process using natural zeolites. J Therm Anal Calorim. 99:211228 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11. Briere, L-AK, Brandt, J-M, John, B, Medley, JB 2010 Measurement of protein denaturation in human synovial fluid and its analogs using differential scanning calorimetry. J Therm Anal Calorim. 102:99106 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12. Badenhorst, H, Brian, RandB, Focke, WW 2010 Modelling of natural graphite oxidation using thermal analysis techniques. J Therm Anal Calorim. 102:99106 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13. Chaliampalias D , Vourlias G, Pavlidou E, Chrissafis K. Examination of the oxidation resistance of Cr-Mo-V tool steel by thermal analysis. J Therm Anal Calorim. http://www.springerlink.com/content/qx2066371j06k1u0/fulltext.pdf. Accessed 27 Nov 2011.

    • Search Google Scholar
    • Export Citation
  • 14. Konno, K, Kamei, D, Yokosuka, T, Takami, S, Kubo, M, Miyamoto, A 2003 The development of computational chemistry approach to predict the viscosity of lubricants. Tribol Int. 36:455458 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15. Sinha, AN, Mukherjee, PS, De, A 2000 Assessment of useful life of lubricants using artificial neural network. Ind Lubric Tribol. 52:105109 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16. Trzos, M 2004 Neural models for prediction of lube oils’ wear resistance properties. Tribologia. 196:273284.

  • 17. Korres, DM, Anastopoulos, G, Lois, E, Alexandridis, A, Sarimveis, H, Bafas, G 2002 A neural network approach to the prediction of diesel fuel lubricity. Fuel. 81:12431250 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18. Olden, JD, Jackson, DA 2002 Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks. Ecol Model. 154:135150 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19. Gyurova, LA, Friedrich, K 2011 Artificial neural networks for predicting sliding friction and wear properties of polyphenylene sulfide composites. Tribol Int. 44:603609 .

    • Crossref
    • Search Google Scholar
    • Export Citation