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Francis Turbine Analysis Between Computational Fluid Dynamics (CFD) and Experimental Methods

  • Muhammad Naim bin Md. Kamal
  • Khairul Shahril bin Shaffee
  • Mohamad Sabri bin Mohamad Sidik
  • Ahmad Razlee Ab. Kadir
  • Johan Ihsan bin Mahmood
Chapter
Part of the Advanced Structured Materials book series (STRUCTMAT, volume 102)

Abstract

Hydroelectric power has become the most promising source in the power sector to sustain the growth of any nation. In any hydroelectric power plant, the hydraulic turbine plays a vital role which affects the overall performance of the plant and if utilized at suboptimal level, may lead to the loss of useful head. So, it becomes vital to predict the behavior of the hydro-turbine under actual working conditions. Francis turbines are the most well-known water turbines being used today. The Francis turbines works in water depths from 10 to 650 m (33–2133 ft) and are fundamentally utilized for electric power generation. This research consists of a simulation process and experimental research in order to compare both of the results. The geometry is modelled using the CATIA software and transferred into Ansys for the analysis. All the main parts that are included in the Francis turbine educational kit at the Universiti Kuala Lumpur Malaysian Spanish Institute such as the spiral casing, the runner blade, guide vane and the draft tube is constructed in the 3D model. The highest accuracy for the Francis turbine occurs at 1300 RPM and the highest inaccuracy percentage is within 30% and the lowest inaccuracy percentage is within 2%.

Keywords

Francis turbine CFD CATIA Ansys 

Notes

Acknowledgements

The authors would like to thank the Universiti Kuala Lumpur Malaysian Spanish Institute for the financial support for this research work via Final Year Project.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Muhammad Naim bin Md. Kamal
    • 1
  • Khairul Shahril bin Shaffee
    • 1
  • Mohamad Sabri bin Mohamad Sidik
    • 1
  • Ahmad Razlee Ab. Kadir
    • 1
  • Johan Ihsan bin Mahmood
    • 1
  1. 1.Malaysian Spanish Institute, Universiti Kuala LumpurKulimMalaysia

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