8 results ·
● Live web index
I
icce2018.emu.edu.tr
research
https://icce2018.emu.edu.tr/Documents/proceedings/TURB-02-Deniz%20Sarper-Fran…
Table 1: L9 Taguchi Design Experiments/Factors A B C 1 20 60 20 2 20 70 22 3 20 80 24 4 22 60 22 5 22 70 24 6 22 80 20 7 24 60 24 8 24 70 20 9 24 80 22 Hydraulic turbine efficiency is defined as the ratio of shaft power to hydraulic power that depends on head and flow rate values. Nomenclature A Taguchi factor that represents guide vane angle ( ̊ ) B Taguchi factor that represents runner inlet angle ( ̊ ) C Taguchi factor that represents runner outlet angle ( ̊ ) g Gravitational acceleration (m/s2) H Turbine head value (m) Q Turbine discharge value (m3/s) u Velocity in x direction (m/s) v Velocity in y direction (m/s) w Velocity in z direction (m/s) Greek Letters 𝜂turb Turbine efficiency (%) Pshaft Shaft power (W) 𝜌 Density (kg/m3) μ Dynamic viscosity (kg/ms) References [1] http://www.eie.gov.tr/yenilenebilir/h_turki ye_potansiyel.aspx [2] Y.
P
publications.waset.org
article
https://publications.waset.org/4986/optimization-of-gamm-francis-turbine-runner
The efficiency of the optimized geometry is improved from 90.7% to 92.5%. Finally, design parameters and the way of selection have been considered and discussed
B
blog.adtechnology.com
article
https://blog.adtechnology.com/machine-learning-hydraulic-turbine-francis-runn…
# Machine Learning for Hydraulic Francis Runner Design Optimization. A new methodology uses **3D Inverse Design** technology coupled with **Reactive Response Surface (RRS) Machine Learning** to rapidly optimize Francis hydraulic turbine runners. This approach requires only **10 input parameters** to explore a vast design space and, in just a few hours, discovered optimized designs that showed significant performance gains, including **5-9 percentage points higher efficiency** and an **8-28% increase in shaft power** over the baseline model. In this blog we look at how ADT’s Reactive Response Surface + CAE technology (RRS+CAE) is driving better hydraulic turbine design through Machine Learning. ## • The Francis Runner performance challenge - and the solution • Where to start - Generate a meanline Francis runner design • 3D Inverse Design is the enabling technology for Machine Learning • How to establish a baseline for turbine performance • Optimization of a Francis runner via Machine Learning • RRS gives design choices and performance gains • Final validation of the Machine Learning solution • Conclusions.
A
asmedigitalcollection.asme.org
article
https://asmedigitalcollection.asme.org/FEDSM/proceedings/FEDSM2024/88124/V001…
a new Francis turbine runner is designed to improve the turbine performance by the optimization method using the 3D Inverse Design Method and
I
iopscience.iop.org
article
https://iopscience.iop.org/article/10.1088/1755-1315/22/1/012026/pdf
# Design optimization method for Francis turbine. -Multi-objective shape optimization of runner blade for Kaplan turbine A Semenova, D Chirkov, A Lyutov et al. Blade shape design is carried out in one kind of NURBS curve defined by a series of control points. The system was applied for designing the stationary vanes and the runner of higher specific speed francis turbine. As the first step, single objective optimization was performed on stay vane profile, and second step was multi-objective optimization for runner in wide operating range. As a result, it was confirmed that the design system is useful for developing of hydro turbine. We have also developed a hydro turbine by using design of experiments (DOE) and multi-objective genetic algorithm (MOGA) as the optimization method [1] [2] [3]. In the design system, blade profile was defined by a flexible curve, and the optimization method adapted to Particle Swarm Optimization (PSO), which is one of the swarm intelligence techniques.
S
scribd.com
article
https://www.scribd.com/document/223228283/Conceptual-Design-Optimization-of-F…
# Conceptual Design Optimization of Francis Turbines. ## Uploaded by. Hydraulic turbines have been studied, designed, built and put into operation for nearly 250 years. This work presents a conceptual design methodology for Francis turbines. It combines simplified models for the turbomachine fluid flow with numerical optimization techniques. ## Share this document. ## Footer menu. ## Support. ## Legal. ## Social. ## Get our free apps. Scribd - Download on the App Store. Scribd - Get it on Google Play.
E
engineeringmechanics.cz
article
https://www.engineeringmechanics.cz/pdf/20_2_139.pdf
et al.: Development of High Specific Speed Francis Turbine for Low Head HPP blade, the automatic mesh generation, CFD calculations with post-processing and the own optimization cycle with defined objective function. ed., Kluwer Academic Publishers, Dordrecht, 1992, 500 p., ISBN 0-7923-1505-7 [2] Obrovsky J., Seda B., Zouhar J.: Experience with hydraulic design of low specific speed turbine, 4th IAHR International Meeting of the Workgroup on Cavitation and Dynamic Problems, 2011, Belgrade, Serbia [3] Sado K., ShyangMaw L., Yasuyuki E.: Virtual model test for a Francis turbine, 25th IAHR Symposium on Hydraulic Machinery and Systems, 2010, Timisoara, Romania [4] Skotak A., Obrovsky J.: The utilization of optimization for water turbine blade shape uprating, Fluent Userˇ zs Meeting, 2006, Hrotovice, Czech Republic [5] Skotak A., Obrovsky J.: Shape Optimization of a Kaplan Turbine Blade, 23rd IAHR Sympo-sium on Hydraulic Machinery and Systems, 2006, Yokohama, Japan, paper 233 [6] Skotak A., Obrovsky J.: Analysis of the flow in the water turbine draft tube in Fluent and CFX, 25th CADFEM Userˇ zs Meeting, 2007, Dresden, Germany [7] Storn R., Price K.: Differential Evolution – A Simple and Efficient Heuristic for Global Op-timization over Continuous Spaces, Journal of Global Optimization, Kluwer Academic Pub-lishers, 1997, vol.
S
simscale.com
article
https://www.simscale.com/blog/francis-turbine-optimization
# How to Optimize a Francis Turbine Design with CFD. BlogMachinery & Industrial EquipmentHow to Optimize a Francis Turbine Design with CFD. A water turbine, with the Kaplan, Pelton, and Francis turbines being the most common ones, is a large rotary machine that works to convert kinetic and potential energy into hydroelectricity. These modern equivalents of the water wheel have been used for over 135 years for industrial power generation, and more recently hydropower energy generation. ## Francis Turbine **What Are Water Turbines Used for Today?**. Low-head hydropower systems are larger, as the water turbine has to be large to achieve a high flow rate while low water pressure is applied across the blades. These turbines are known as axial flow reaction turbines, as they change the pressure of the water as it flows through it. ## Francis Turbine **How Can You Optimize Your Water Turbine Design with CFD?**.