Hydraulic turbine

AccessScience ◽  
2015 ◽  
Keyword(s):  
Hydraulic Turbine

scholarly journals Numerical Simulation of Hydraulic Turbine During Transient Operation Using OpenFOAM

2021 ◽  
Vol 774 (1) ◽  
pp. 012060
Author(s):  
Saeed Salehi ◽  
Håkan Nilsson ◽  
Eric Lillberg ◽  
Nicolas Edh
Keyword(s):  
Numerical Simulation ◽  
Hydraulic Turbine ◽  
Transient Operation

scholarly journals Capability of Advanced Ultrasonic Inspection Technologies for Hydraulic Turbine Runners

2021 ◽  
Vol 11 (10) ◽  
pp. 4681
Author(s):  
Mohammad Ebrahim Bajgholi ◽  
Gilles Rousseau ◽  
Martin Viens ◽  
Denis Thibault
Keyword(s):  
Ultrasonic Inspection ◽  
High Stress ◽  
Welding Process ◽  
Hydraulic Turbine ◽  
Francis Turbine ◽  
Detection Rates ◽  
Critical Range ◽  
Area Of Interest ◽  
Ambitious Program ◽  
Pulse Echo

This paper presents the results of a project aimed at evaluating the performance of ultrasonic techniques for detecting flaws in Francis turbine runners. This work is the first phase of a more ambitious program aimed at improving the reliability of inspection of critical areas in turbine runners. Francis runners may be utilized to supply power during peak periods, which means that they experience additional load stress associated with start and stop sequences. Inspection during manufacturing is then of paramount importance to remove as much as feasible all flaw initiation sites before the heat treatment. This phase one objective is to collect initial data on a simplified mock-up and then to compare the experimental ultrasonic data with the results of simulations performed by CIVA, a computer simulation package. The area of interest is the region with the highest stress between the blade and the web. A welded T-joint coupon made of UNS S41500 was manufactured to represent this high-stress area. During the FCAW welding process, ceramic beads were embedded in the weld to create discontinuities whose size is in the critical range to initiate a crack. Inspection of the material was carried out by various nondestructive testing (NDT) methods namely conventional pulse-echo, phased array, total focusing method (TFM). With these results, detection rates were obtained in order to compare the effectiveness of each method.

Hydraulic turbine system identification and predictive control based on GASA-BPNN

2021 ◽  
Vol 28 (7) ◽  
pp. 1240-1247
Author(s):  
Xiao-ping Jiang ◽  
Zi-ting Wang ◽  
Hong Zhu ◽  
Wen-shuai Wang
Keyword(s):  
System Identification ◽  
Predictive Control ◽  
Hydraulic Turbine
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