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Year 2015, Volume: 20 Issue: 1-2, 22 - 33, 29.07.2016

Abstract

References

  • References
  • Ansys fluent guide (ANSYS FLUIENT), theory and guide in (2009)
  • Bashir, T., Soni, Mahulkar, A., and Pandit, 2011. The CFD driven optimization of a modified venturi for cavitation activity. Can. J. Chem. Eng. 1366–1375.
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  • Randy, S., 2001. Modeling and simulation of Multiphase / Multi component. M.S., The University of New South Wales, Australia.
  • Senthilkumar, P., Sivakumar, M., and Pandit, 2000. Experimental quantification of chemical effects of hydrodynamic cavitation. Chem. Eng. Sci. 1633–1639.
  • Saharan, k., Mandar , P., Badve, B., and Pandit, 2011. Degradation of Reactive Red 120 dye using hydrodynamic cavitation.
  • Yan, Thorpe. 1990. Flow Regime Transitions due to Cavitation in the Flow through an Orifice. Int. J. Multiphase Flow 16 1023–1045.

Numerical Investigation of Cavitation on Different Venturi Models

Year 2015, Volume: 20 Issue: 1-2, 22 - 33, 29.07.2016

Abstract

When the pressure in the fluid falls below the liquid's saturation pressure, Cavitation phenomena can severely damage devices or machine parts for example pumps, propellers and impellers. In the current study two-dimensional computational fluid dynamics (CFD) venturi models with variety of inlet pressure values, the throat lengths and vapor fluid contents were employed to examine how cavitation was influenced. In this study two different venturi models were used at various inlet pressures of 2, 4, 6, 8 and 10 atm, throat lengths of 5, 10, 15 and 20 mm and three different vapor contents of 0%, 5% and 10% to unveiled the influence of every parameter on the cavitation number. The investigation unveiled that pressure inlet and vapor fluid content and cavitation number have a positive relationship. It was also discovered that at the inlet pressures of 6, 8,10atm, velocity remains almost constant, however increasing length of throat led to the sharp increase in the velocity of throat at inlet pressures of 2 and 4 atm.  Additionally, there was negative correlation between velocity and cavitation number. The outcomes of the cavitation number were different from 0.092 to 0.495 relying on the velocity values of the throat. 

References

  • References
  • Ansys fluent guide (ANSYS FLUIENT), theory and guide in (2009)
  • Bashir, T., Soni, Mahulkar, A., and Pandit, 2011. The CFD driven optimization of a modified venturi for cavitation activity. Can. J. Chem. Eng. 1366–1375.
  • Herland, F., 2011. Numerical Simulation of the Flow in Fuel Nozzles for Two-Stroke diesel Engines MEK-FM-EP-2011-05.
  • Jain, T., Carpenter, C., Saharan, K.,2014. CFD Analysis and Optimization of Circular and Slit Venturi for Cavitational Activity Journal of Material Science and Mechanical Engineering Volume 1, ISSN: 2393-9095.
  • Knapp, R., 1970. Cavitation. J.W. Daily, and F.G Hammitt. McGraw-Hill Bo Company.
  • Moholkar, V., Senthilkumar, P., and Pandit, A., 1999. Hydrodynamic cavitation for sonochemical effects, Ultrason. Sonochem. pp. 6, 53-65.
  • Randy, S., 2001. Modeling and simulation of Multiphase / Multi component. M.S., The University of New South Wales, Australia.
  • Senthilkumar, P., Sivakumar, M., and Pandit, 2000. Experimental quantification of chemical effects of hydrodynamic cavitation. Chem. Eng. Sci. 1633–1639.
  • Saharan, k., Mandar , P., Badve, B., and Pandit, 2011. Degradation of Reactive Red 120 dye using hydrodynamic cavitation.
  • Yan, Thorpe. 1990. Flow Regime Transitions due to Cavitation in the Flow through an Orifice. Int. J. Multiphase Flow 16 1023–1045.
There are 11 citations in total.

Details

Journal Section Articles
Authors

Sedat Yayla

Shakhwan Yaseen This is me

Ali Bahadır Olcay

Publication Date July 29, 2016
Submission Date May 5, 2016
Published in Issue Year 2015 Volume: 20 Issue: 1-2

Cite

APA Yayla, S., Yaseen, S., & Olcay, A. B. (2016). Numerical Investigation of Cavitation on Different Venturi Models. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 20(1-2), 22-33.