MORGUT, Mitja ;JOŠT, Dragica ;ŠKERLAVAJ, Aljaž ;NOBILE, Enrico ;CONTENTO, Giorgio . Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 64, n.9, p. 543-554, october 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/>. Date accessed: 18 apr. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2017.4647.
Morgut, M., Jošt, D., Škerlavaj, A., Nobile, E., & Contento, G. (2018). Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models. Strojniški vestnik - Journal of Mechanical Engineering, 64(9), 543-554. doi:http://dx.doi.org/10.5545/sv-jme.2017.4647
@article{sv-jmesv-jme.2017.4647,
author = {Mitja Morgut and Dragica Jošt and Aljaž Škerlavaj and Enrico Nobile and Giorgio Contento},
title = {Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {64},
number = {9},
year = {2018},
keywords = {cavitation; marine propeller; Kaplan turbine; mass transfer models; RANS; SAS;},
abstract = {Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow.},
issn = {0039-2480}, pages = {543-554}, doi = {10.5545/sv-jme.2017.4647},
url = {https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/}
}
Morgut, M.,Jošt, D.,Škerlavaj, A.,Nobile, E.,Contento, G. 2018 October 64. Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 64:9
%A Morgut, Mitja %A Jošt, Dragica %A Škerlavaj, Aljaž %A Nobile, Enrico %A Contento, Giorgio %D 2018 %T Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models %B 2018 %9 cavitation; marine propeller; Kaplan turbine; mass transfer models; RANS; SAS; %! Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models %K cavitation; marine propeller; Kaplan turbine; mass transfer models; RANS; SAS; %X Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow. %U https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/ %0 Journal Article %R 10.5545/sv-jme.2017.4647 %& 543 %P 12 %J Strojniški vestnik - Journal of Mechanical Engineering %V 64 %N 9 %@ 0039-2480 %8 2018-10-11 %7 2018-10-11
Morgut, Mitja, Dragica Jošt, Aljaž Škerlavaj, Enrico Nobile, & Giorgio Contento. "Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models." Strojniški vestnik - Journal of Mechanical Engineering [Online], 64.9 (2018): 543-554. Web. 18 Apr. 2024
TY - JOUR AU - Morgut, Mitja AU - Jošt, Dragica AU - Škerlavaj, Aljaž AU - Nobile, Enrico AU - Contento, Giorgio PY - 2018 TI - Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4647 KW - cavitation; marine propeller; Kaplan turbine; mass transfer models; RANS; SAS; N2 - Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow. UR - https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/
@article{{sv-jme}{sv-jme.2017.4647},
author = {Morgut, M., Jošt, D., Škerlavaj, A., Nobile, E., Contento, G.},
title = {Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {64},
number = {9},
year = {2018},
doi = {10.5545/sv-jme.2017.4647},
url = {https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/}
}
TY - JOUR AU - Morgut, Mitja AU - Jošt, Dragica AU - Škerlavaj, Aljaž AU - Nobile, Enrico AU - Contento, Giorgio PY - 2018/10/11 TI - Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 64, No 9 (2018): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4647 KW - cavitation, marine propeller, Kaplan turbine, mass transfer models, RANS, SAS, N2 - Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow. UR - https://www.sv-jme.eu/article/numerical-predictions-of-cavitating-flow-around-a-marine-propeller-and-kaplan-turbine-runner-with-calibrated-cavitation-models/
Morgut, Mitja, Jošt, Dragica, Škerlavaj, Aljaž, Nobile, Enrico, AND Contento, Giorgio. "Numerical Predictions of Cavitating Flow around a Marine Propeller and Kaplan Turbine Runner with Calibrated Cavitation Models" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 64 Number 9 (11 October 2018)
Strojniški vestnik - Journal of Mechanical Engineering 64(2018)9, 543-554
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Cavitating phenomena, which may occur in many industrial systems, can be modelled using several approaches. In this study a homogeneous multiphase model, used in combination with three previously calibrated mass transfer models, is evaluated for the numerical prediction of cavitating flow around a marine propeller and a Kaplan turbine runner. The simulations are performed using a commercial computational fluid dynamics (CFD) solver and the turbulence effects are modelled using, alternatively, the Reynolds averaged Navier Stokes (RANS) and scale adaptive simulation (SAS) approaches. The numerical results are compared with available experimental data. In the case of the propeller the thrust coefficient and the sketches of cavitation patterns are considered. In the case of the turbine the efficiency and draft tube losses, along with the cavitation pattern sketches, are compared. From the overall results it seems that, for the considered systems, the three different mass transfer models can guarantee similar levels of accuracy for the performance prediction. For a very detailed investigation of the fluid field, slight differences in the predicted shapes of the cavitation patterns can be observed. In addition, in the case of the propeller, the SAS simulation seems to guarantee a more accurate resolution of the cavitating tip vortex flow, while for the turbine, SAS simulations can significantly improve the predictions of the draft tube turbulent flow.