This article discusses recent improvements in Francis turbine design, including the use of computational fluid dynamics and 3D printing, to increase efficiency and reduce costs.
Researchers from the University of California, Berkeley, present a study on the optimization of Francis turbine design using computational fluid dynamics and machine learning algorithms to achieve high efficiency.
This paper presents a review of recent design improvements for Francis turbines in small hydropower plants, including the use of new materials and innovative manufacturing techniques.
This article discusses the design and optimization of high-efficiency Francis turbines for large hydroelectric power plants, including the use of advanced materials and numerical simulation techniques.
An open-source tool for designing and simulating Francis turbines, including a user-friendly interface and advanced numerical simulation capabilities.
The US Department of Energy discusses recent upgrades to hydroelectric power plants, including improvements to Francis turbine design, to increase efficiency and reduce environmental impact.
A video lecture by a leading expert in the field, discussing the challenges and opportunities for improving Francis turbine design, including the use of advanced materials and numerical simulation techniques.
This paper presents a study on the use of artificial intelligence and machine learning algorithms to optimize Francis turbine design, including the use of genetic algorithms and neural networks.