Work

Machine learning-based efficiency prediction of Francis type hydraulic turbines through comprehensive performance testing

Year: 2025

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

DOI: 10.1177/09576509251352663

Authors: Ferdi Besni, Fevzi Büyüksolak, Ece Ayli, Kutay Celebioglu, Selin Aradag, Yigit Tascioglu

Institutions: TOBB University of Economics and Technology, Çankaya University, TED University

Language: English

Topic: Cavitation Phenomena in Pumps

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

OpenAlex ID: W4411407935

FWCI: 0.328

Cites: 35

Cited by: 1

Related to: 10