2017
DOI: 10.1088/1742-6596/782/1/012009
|View full text |Cite
|
Sign up to set email alerts
|

Frozen Rotor and Sliding Mesh Models Applied to the 3D Simulation of the Francis-99 Tokke Turbine with Code_Saturne

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 2 publications
0
5
0
Order By: Relevance
“…Frozen rotor coupling method results are compatible with the experimental results. Tonello et al [17] worked on steady-state operation of Francis-99, Tokke turbine at different loads. Simulations are carried out using both the frozen rotor approximation and unsteady sliding mesh technique.…”
Section: Methodsmentioning
confidence: 99%
“…Frozen rotor coupling method results are compatible with the experimental results. Tonello et al [17] worked on steady-state operation of Francis-99, Tokke turbine at different loads. Simulations are carried out using both the frozen rotor approximation and unsteady sliding mesh technique.…”
Section: Methodsmentioning
confidence: 99%
“…In steady state simulations there is not any relative motion between regions, due to the nature of its temporary approach. For this reason, the frozen rotor technique is used, which follows the MRF methodology [18]. The MRF methodology establishes a separated reference frame for each region of the domain, for both rotational and static.…”
Section: Multiple Reference Framementioning
confidence: 99%
“…e concept of Multiple Reference Frame (MRF) was implemented in simulation over a range of runner speeds to minimize the computational time required because of the longer computational time required for 22 runners. Studies show that the errors are within acceptable margin when compared to Sliding Mesh (SM) method for turbomachinery simulations [31,32]. Tonello et al [32] did a comparative study between SM and MRF approaches for Francis turbine simulation and concluded that SM does not offer a significant advantage over the MRF approach for overall turbine characteristics prediction.…”
Section: Numerical Simulationmentioning
confidence: 99%
“…Studies show that the errors are within acceptable margin when compared to Sliding Mesh (SM) method for turbomachinery simulations [31,32]. Tonello et al [32] did a comparative study between SM and MRF approaches for Francis turbine simulation and concluded that SM does not offer a significant advantage over the MRF approach for overall turbine characteristics prediction. Gullberg and Sengupta [31] also suggest that the MRF technique can provide an accurate prediction of turbomachinery performance.…”
Section: Numerical Simulationmentioning
confidence: 99%