Forecasting Thrust Bearing Temperature of 100 MW Francis Turbine

  • Faraz Ikram
  • Khuram Pervez Amber
  • Bilal Akbar
  • Kamran Afzal
  • Noman Bashir
  • Asad Ijaz
  • Haroon Mushtaq

Abstract

Thrust bearing plays a significant role in the smooth & efficient running of turbines. Its overheating is one of the major problems for the continuous operations of hydropower plants. A reliable forecast of thrust bearing temperature helps designers in preparing future thrust bearings and setting up the operating range of thrust bearing temperatures. In this study, a multiple regression model using SPSS software to forecast thrust bearing temperature of 100 MW Francis turbine was developed. The model integrates fifteen important independent variables. Data sets of all variables were collected followed by formulation of statistical model for a period of one year ranging from May 2012 to May 2013 used for the training whereas the proposed model was tested against the real dataset for June to July 2014. The predicted thrust bearing temperature values were compared with the actual thrust bearing temperature values in order to verify the performance of the model. The model offers a good predictive power with an adjusted R² value of 0.98 and a RMSE of 2.78˚C.

References

1. Energy Information Administration international statics database, Retrieved from www.eia.doe.gov/
2. Renewable Global Status Report 2006 Update, REN21, published 2007, accessed 04-03-2010; see Table 4, p. 20
3. Statistical Digest 2013, Wapda Electricity Board, Pakistan
4. Power generation sources in Pakistan Retrieved from http://www.burnanenergyjournal.com
5. History of Mangla Dam Retrieved from http://www.ajkmdrp.gov.pk/background.
6. Mangla Dam Raising Project Retrieved from http://www.ajkmdrp.gov.pk/raising-dam
7. Sharma R.K., Sharma T. K, A text book of Water Power Engineering, S.Chand& Company Ltd, pp 450-455, 2000
8. Jar G. K, Artificial neural networks and its applications, IARI, New Delhi- 100-012, pp 41-42,
9. Retrieved from Mangla Dam raising project, Mangla Power Station update 07-08-2014 time 11:30 am
10. Sternlicht.B and. Schenectady. N.Y, "Functional bearings," United States Patent Office, 1957
11. O. Zienkiewicz, "Temperature distribution within lubricating films between parallel bearing surfaces and its effects on the pressure developed." Proc. Conf. on Lubrication and Wear, pp. 1-7, 1957
12. Vohr. H, "Prediction of operating temperature of thrust bearings." ASME, vol. 103, pp. 97-106, 1981
13. Ettles C.M, "Transient thermoelastic effects in fluid film bearings." Wear, p. Vol.79 53 – 71, 1982
14. Heshmat. H and Pinkus. O, "Analysis of starved journal bearings including temperature and cavitation effects." Journal of Tribology, vol. 107, no. 1, 1985
15. Brown. A. L, Ferguson. J. H and Medley. J. B, "Spring-supported thrust bearings for hydroelectric generators: Finite element analysis of pad deflection." Tribology Series, vol. 39, pp. 99-110, 2001
https://doi.org/10.1016/S0167-8922(01)80097-3
16. Xiaojing and Wang, "Improving the performance of spring-supported thrust bearings by controlling its deformations." Tribology International, 1999
17. Brown. A. L, Ferguson. J. H and Medle-y. J. B, "Spring-supported thrust bearings for hydroelectric generators: Finite element analysis of pad deflection." Tribology Series, vol. 39, pp. 99-110, 2001.
https://doi.org/10.1016/S0167-8922(01)80097-3
18. Ancy.M.A, Prof. AmeyGeore, Anish Francis "Netural network based temperature prediction" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol 2, Special issue 1 PP. 2-10, 2003
19. Glavatskih. S. G, Musicale. O and Spohn. S. J "Simultaneous monitoring of oil film thickness and temperature in fluid film bearings." Tribology International, vol. 34, pp. 853-857, 2001
https://doi.org/10.1016/S0301-679X(01)00086-X
20. Wodtke M, Schubert A and Fillon M. "large hydrodynamic thrust bearing: comparison of the theoretical prediction and measurement" Poitiers Workshop, pp. 05-09, 2010
21. Xiaodong. Y,"Research on dynamic pressure of hydrostatic bearing under the different recess depth and rotating velocity", international journal of control vol7 no 2 PP. 15-20, 2014
22. Andrew M.Mikula "evaluating tilting pad thrust bearing operating temperatures" Philadelphia pennsylvanias 1989
23. John K. Whalen."Thrust bearing analysis optimization manager of Engineering TCE/Turbo components & Engineering Inc", Presented and published in the Proceedings of the 25th Turbomachinery Symposium, September 17-19, 1996, Turbomachinery Laboratories, Mechanical Engineering Department, Texas A&M University, College Station, Texas. pp. 15-20
24. W. G. Willis, "Tilting Pad Thrust Bearings Tests – Influence of Oil Flow Rate on Power Loss Temperatures.," Tribology of Energy Conservation, 1998.

Forecasting Thrust Bearing Temperature of 100 MW Francis Turbine
Published
2017-02-28
How to Cite
IKRAM, Faraz et al. Forecasting Thrust Bearing Temperature of 100 MW Francis Turbine. MUST Journal of Engineering and Applied Sciences, [S.l.], v. 1, n. 1, p. 15-23, feb. 2017. Available at: <http://www.archyworld.com/journals/index.php/mjeas/article/view/51>. Date accessed: 01 may 2017. doi: https://doi.org/10.22496/mjeas.v1i1.51.