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Experimental identification of turbocharger mechanical friction losses

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  • Deligant, M.
  • Podevin, P.
  • Descombes, G.

Abstract

Understanding the friction losses of automotive turbochargers is a key parameter in assessing properly the mechanical efficiency of these machines. Current turbochargers are mostly equipped with oil bearings: two journal bearings and one double-acting axial thrust bearing. In order to know on which element improvement efforts have to be focused, it is important to determine their contribution to the total friction losses. This will also make it possible to calibrate the computation models of friction losses of the bearings separately. Measuring the friction losses of a turbocharger is not easy and existing methods measure only the total losses due to the association of journal and thrust bearings. A novel turbocharger test bench equipped with a highly accurate torquemeter and a magnetic axial load device has been developed. Measuring methodologies have been fine-tuned to measure the total friction losses, the influence of axial load on the thrust bearing, and the mechanical friction losses of the journal bearings alone. The experimental device and measuring methods are detailed in this paper. Experimental results are presented and analysed. The influence of axial load, oil inlet pressure and the distribution of friction power and oil mass flow between thrust bearing and journal bearings are discussed.

Suggested Citation

  • Deligant, M. & Podevin, P. & Descombes, G., 2012. "Experimental identification of turbocharger mechanical friction losses," Energy, Elsevier, vol. 39(1), pages 388-394.
    • Handle: RePEc:eee:energy:v:39:y:2012:i:1:p:388-394
    DOI: 10.1016/j.energy.2011.12.049
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    References listed on IDEAS

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    1. Giakoumis, Evangelos G. & Dimaratos, Athanasios M. & Rakopoulos, Constantine D., 2011. "Experimental study of combustion noise radiation during transient turbocharged diesel engine operation," Energy, Elsevier, vol. 36(8), pages 4983-4995.
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    1. Novotný, Pavel & Vacula, Jiří & Hrabovský, Jozef, 2021. "Solution strategy for increasing the efficiency of turbochargers by reducing energy losses in the lubrication system," Energy, Elsevier, vol. 236(C).
    2. Serrano, José Ramón & Tiseira, Andrés & García-Cuevas, Luis Miguel & Inhestern, Lukas Benjamin & Tartoussi, Hadi, 2017. "Radial turbine performance measurement under extreme off-design conditions," Energy, Elsevier, vol. 125(C), pages 72-84.
    3. Damian HADRYŚ & Henryk BĄKOWSKI & Zbigniew STANIK & Andrzej KUBIK, 2019. "Analysis Of Shaft Wear In Turbocharges Of Automotive Vehicles," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(3), pages 85-96, September.
    4. Avola, Calogero & Copeland, Colin D. & Burke, Richard D. & Brace, Chris J., 2017. "Effect of inter-stage phenomena on the performance prediction of two-stage turbocharging systems," Energy, Elsevier, vol. 134(C), pages 743-756.
    5. Roman Kalvin & Juntakan Taweekun & Kittinan Maliwan & Hafiz Muhammad Ali, 2021. "Fabrication of Catalytic Converter with Different Materials and Comparison with Existing Materials in Addition to Analysis of Turbine Installed at the Exhaust of 4 Stroke SI Engine," Sustainability, MDPI, vol. 13(18), pages 1-12, September.
    6. Sakellaridis, Nikolaos F. & Raptotasios, Spyridon I. & Antonopoulos, Antonis K. & Mavropoulos, Georgios C. & Hountalas, Dimitrios T., 2015. "Development and validation of a new turbocharger simulation methodology for marine two stroke diesel engine modelling and diagnostic applications," Energy, Elsevier, vol. 91(C), pages 952-966.
    7. Serrano, José Ramón & Olmeda, Pablo & Tiseira, Andrés & García-Cuevas, Luis Miguel & Lefebvre, Alain, 2013. "Theoretical and experimental study of mechanical losses in automotive turbochargers," Energy, Elsevier, vol. 55(C), pages 888-898.
    8. Salameh, Georges & Chesse, Pascal & Chalet, David, 2019. "Mass flow extrapolation model for automotive turbine and confrontation to experiments," Energy, Elsevier, vol. 167(C), pages 325-336.
    9. Matteo Repetto & Massimiliano Passalacqua & Luis Vaccaro & Mario Marchesoni & Alessandro Pini Prato, 2020. "Turbocompound Power Unit Modelling for a Supercapacitor-Based Series Hybrid Vehicle Application," Energies, MDPI, vol. 13(2), pages 1-20, January.

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