Journal
SUSTAINABILITY
Volume 14, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/su14063263
Keywords
Francis turbine; cavitation; high speed visualization; acoustic performance; hydraulic stability
Funding
- National Natural Science Foundation of China [51976043]
- Liaoning Revitalization Talents Program [XLYC2007083]
- Liaoning Baiqianwan Talents Program [LNBQW2020Q0141]
- Talent Scientific Research Fund of LSHU [2020XJJL-010]
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An investigation was conducted on the cavitation characteristics of the Francis turbine and its influence on the hydraulic stability using flow visualization and acoustic emission methods. As the cavitation coefficient decreases, gap cavitation develops first, followed by airfoil cavitation. Airfoil cavitation causes variations in machine flow and head and reduces the amplitude of pressure pulsation.
An investigation is conducted on the Francis turbine's cavitation characteristics and its influence on system hydraulic stability using two experimental methods, namely the flow visualization and acoustic emission methods. The investigated turbine is of Francis type with a 15-blade runner and has a specific speed of 202 rpm and a rated head of 30 m. Having tested the machine under a wide range of cavitation conditions, the gap cavitation is the earliest to develop as the cavitation coefficient gradually decreases and has no obvious effect on the machine's external performance characteristics. The airfoil cavitation follows and causes the increase and decrease in machine flow rate and head, respectively, showing its drag reduction effect, where, at the same time, the pressure pulsation amplitude gets to its peak value. There is also the formation of constant cavitation zones and the involvement of an unsteady surge close to the wall of the draft tube's cone. Pushing the cavitation coefficient to even lower values, there is the formation of an annular cavitation zone, accompanied by a sharp drop in cone pressure pulsation amplitudes while the former drag reduction effect disappears. The trend of noise is basically the same as that of pressure fluctuation, which confirms its trustworthiness when it comes to cavitation occurrence detection within Francis turbines.
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