Development of a Complete Methodology to Reconstruct, Optimize, Analyze and Visualize Francis Turbine Runners

Abstract The maintenance of hydropower generators is a very important issue. They are designed to operate for several decades and during their lifetime several failures might happen. The maintenance of hydropower generators requires a complete set of process activities to support maintenance decisions. The acquisition of the actual geometry of the runner blade is a required starting point. Some maintenance geometric features do not have correspondence with design geometric features. In this case, preferably in automatic procedure, the maintenance geometric features must be inserted into the CAD model. Optimal values for maintenance geometric features parameters can be determined by simulation optimization technique using fluid structure interaction (FSI) analysis. Finally, immersive virtual reality facilitates the visualization of the results obtained from the finite element analysis. Some results are shown from the Jaguari's power plant from CESP. Copyright ©2015 IFAC.

[1]  Weiwei Zhang,et al.  Two Better Loosely Coupled Solution Algorithms of CFD Based Aeroelastic Simulation , 2007 .

[2]  David H. Laidlaw,et al.  Experiments in Immersive Virtual Reality for Scientific Visualization , 2002, Comput. Graph..

[3]  Mohammed Asid Zullah,et al.  CFD validation of performance improvement of a 500 kW Francis turbine , 2011 .

[4]  P. Mucha,et al.  A model for velocity fluctuations in sedimentation , 2004, Journal of Fluid Mechanics.

[5]  G. Hou,et al.  Numerical Methods for Fluid-Structure Interaction — A Review , 2012 .

[6]  Talal M. Alkhamis,et al.  Simulation optimization for an emergency department healthcare unit in Kuwait , 2009, Eur. J. Oper. Res..

[7]  Thiago de Castro Martins,et al.  Converting CSG models into meshed B-Rep models using euler operators and propagation based marching cubes , 2007 .

[8]  Mihailo Ristic,et al.  Measurement-based updating of turbine blade CAD models: a case study , 2004, Int. J. Comput. Integr. Manuf..

[9]  Seiichiro Kagei,et al.  3D Reconstruction Using Low Precision Scanner , 2013 .

[10]  Jaroslav Kruis,et al.  Efficient methods to visualize finite element meshes , 2015, Adv. Eng. Softw..

[11]  K. Svanberg The method of moving asymptotes—a new method for structural optimization , 1987 .

[12]  H. S. Udaykumar,et al.  A Sharp Interface Cartesian Grid Methodfor Simulating Flows with ComplexMoving Boundaries , 2001 .

[13]  Reza Ghomashchi,et al.  Hydro turbine failure mechanisms: An overview , 2014 .

[14]  Elias Balaras,et al.  An embedded-boundary formulation for large-eddy simulation of turbulent flows interacting with moving boundaries , 2006, J. Comput. Phys..

[15]  Eric G. Paterson,et al.  Fluid–structure interaction analysis of flexible turbomachinery , 2011 .

[16]  Ozgur Unver,et al.  Hydroturbine Runner Design and Manufacturing , 2013 .

[17]  Keith Case,et al.  Feature modelling: a validation methodology and its evaluation , 2000 .

[18]  Thiago de Castro Martins,et al.  Automatic Creation of Blending Surfaces in Hydropower Generators Turbine Blades , 2014 .