Integrating machine learning and CFD for enhanced trailing edge serration design on a NACA 0012 wind turbine blade

This study combines machine learning (ML) techniques with computational fluid dynamics (CFD) simulations using ANSYS Fluent to investigate the impact of different trailing-edge serration designs on a NACA 0012 airfoil, a commonly used design in wind turbine blades. Building on a fundamental CFD anal...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Marwa Khaleel Rashid, Khuder N. Abed, Mohammed Alharbi, Mohammed Waleed Muayad, Tarik Alkharusi, Arman Ameen
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-11-01
Schriftenreihe:	International Journal of Thermofluids
Schlagworte:	Aerodynamics Trailing edge serrations NACA 0012 airfoil Machine learning CFD Wind turbine blade
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666202725003921
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