Michele Sergio Campobasso

University of Lancaster

United Kingdom

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Articles (17)

Collaborators (6)

Rebecca J Barthelmie

Professor and Croll Faculty Fellow

Cornell University

UNITED STATES

S.C. Pryor

Cornell University

UNITED STATES

Aldo Bonfiglioli

Associate professor

University of Basilicata

Edmondo Minisci

Senior Lecturer

University Of Strathclyde

UNITED KINGDOM

Charlotte Bay Hasager

Technical University of Denmark

ALESSIO CASTORRINI

Assistant Professor

Sapienza University of Rome

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Michele Sergio Campobasso

Research Interests

Explore related searches

Contact this professor

Articles (17)

Collaborators (6)

Rebecca J Barthelmie

S.C. Pryor

Aldo Bonfiglioli

Edmondo Minisci

Charlotte Bay Hasager

ALESSIO CASTORRINI

Make your next move.

Michele Sergio Campobasso

Research Interests

Explore related searches

Contact this professor

Articles (17)

Prioritizing Research for Enhancing the Technology Readiness Level of Wind Turbine Blade Leading-Edge Erosion Solutions

Numerical and Experimental Analysis of the Formation of Nitrogen Oxides in a Non-premixed Industrial Gas Burner

Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades

Opensource machine learning metamodels for assessing blade performance impairment due to general leading edge degradation

Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry

Assessing the progression of wind turbine energy yield losses due to blade erosion by resolving damage geometries from lab tests and field observations

Numerical and Experimental Analysis of the Cold Flow Physics of a Non Pre-mixed Industrial Gas Burner

Experimentally validated three-dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities

Multi-fidelity Analyses of Rotor Loads of Floating Offshore Wind Turbines with Wind/Wave Misalignment

Multi-scale Navier-Stokes analysis of geometrically resolved erosion of wind turbine blade leading edges

Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

Computational Fluid Dynamics Analysis of Floating Offshore Wind Turbines in Severe Pitching Conditions

Using Experimentally Validated Navier-Stokes CFD to Minimize Tidal Stream Turbine Power Losses Due to Wake/Turbine Interactions

Turbulence modelling for RANS CFD analyses of multi-nozzle annular jet pump swirling flows

Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD

Cross-comparative analysis of loads and power of pitching floating offshore wind turbine rotors using frequency-domain Navier-Stokes CFD and blade element momentum theory

Rapid Estimate of Wind Turbine Energy Loss due to Blade Leading Edge Delamination Using Artificial Neural Networks

Collaborators (6)

Rebecca J Barthelmie

S.C. Pryor

Aldo Bonfiglioli

Edmondo Minisci

Charlotte Bay Hasager

ALESSIO CASTORRINI

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