Effective lubrication is important for turbochargers to operate reliably. This can be ensured by regularly monitoring the condition of the used lubricant. In-service lubricant analyses can be used to monitor the functional quality of the oil, provide information on wear affecting lubricated parts, and improve lubrication and increase oil change intervals.

In this work we made an oil analysis to confirm that the used ISO 32 oil for the lubrication of the turbochargers is a good lubricant and assures a good lubrication, for that we carried out a series of conventional tests such as the viscosity and the point of lightning, in continuation we also carried out a spectrometric analysis of emission and this for the characterizations of the contamination of this oil.

Full Text:



Nor, A M., Mohd, AS., Ghazali, O., et al., vegetable oil as bio-lubricant and natural additive in lubrication, International Journal of Nanoelectronics and Materials, vol.13, 2020, pp. 161-176.

Héng, J., Pratique de la maintenance preventive, Dunod, 4 éme édition, Paris, 2017,

Gilles, Z., Diagnostic des défaillances - théorie et pratique pour les systèmes industriels, Hermès, 1995.

Nowak, P., Kucharska, K., Kamiński, M., Ecological and health effects of lubricant oils emitted into the environment. International Journal of Environmental Research and Public Health. 2019, vol.16, no.16, 2019,

Liu, H., Liu, H., Zhu, C.,Parker, RG., Effects of lubrication on gear performance: A review, Mechanism and Machine Theory, vol.145, 2020,

Tang, Z., Li, S., A review of recent developments of friction modifiers for liquid lubricants, Current Opinion in Solid State Mateialsr Science 2014; 18:119–139.

Zainal, N A., Zulkifli, N W M., Gulzar M, Masjuki, H H., A review on the chemistry, and technological potential of bio-based lubricants., Renewable and Sustainable Energy Review, vol. 82, 2018, pp. 80–102,

Gulzar, M., et al., Tribological performance of nanoparticles as lubricating oil additives, Journal of Nanoparticle Research, vol.18, no.8, 2016, pp. 1-25.

Leinonen, J., Lahdelma,S., Vahaoja,P., Kononen, P., Tools for the remote monitoring diagnostics and prognostics of the operational state and condition of a charging crane, Prognostics for industrial machinery availability, 2006.

Vahaoja, P., Oil analysis in machine diagnostics, PhD thesis, ACTA Universitatis Ouluensis serie A Scientiae Rerum Naturalium, 2006,

Ali, M K A., Ezzat, F M H., El-Gawwad, K A.,Salem, M M M., Effect of lubricant contaminants on tribological characteristics during boundary lubrication reciprocating sliding, 2017.

Rameshkumar, K., Sriram, R., Saimurugan, M., Krishnakumar, P., Establishing statistical correlation between sensor signature features and lubricant solid particle contamination in a spur gearbox, IEEE, vol.10, 2020, pp.106230-106247.

Raposo, H., Farinha, J T., Fonseca, I., Ferreira, L A., Condition monitoring with prediction based on diesel engine oil analysis: a case study for urban buses, Actuators, vol.8, no.1, 2019,

Wakiru, J M., Pintelon, L., Chemweno P K and Muchiri P N., A lubricant condition monitoring approach for maintenance decision support -a data exploratory case study, Presented at the Second Maintenance Forum, 2017, Budva, Montenegro.

Ayel, J., Born, M., Lubrifiants et fluides pour l’automobile, Edition technip 1998, France.

Fitch, J., Trouble–shooting viscosity excursions, Practicing Oil Analysis magazine 2001; Is.5.

Chabanel, M., Gressier, P., Liaison chimique et spectroscopie, Ellipse 1991.

Ramielson, L R., Rajaonarison, E F., Randriamorosata, J et al., Analysedes degradations des huiles de lubrification moteur, Mada-Hary, vol.9, 2020, pp.22.38.

Fitch, B., Oil analysis explained, Machinery lubrication magazine, 2013.

Mcmahon, M., How to interpret oil anlysis reports, Machinery lubrication magazine, 2016.


  • There are currently no refbacks.