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On the Role of Leading Edge Bumps in the Control of Stall Onset in Axial Fan Blades
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Taking a lead from the humpback whale flukes, characterized by a series of bumps that result in a sinusoidallike leading edge, this paper reports on a threedimensional numerical study of sinusoidal leading edges on cambered ...
A Machine-Learnt Wall Function for Rotating Diffusers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Data-driven tools and techniques have proved their effectiveness in many engineering applications. Machine-learning has gradually become a paradigm to explore innovative designs in turbomachinery. However, industrial ...
Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Near-wall modeling is one of the most challenging aspects of computational fluid dynamic computations. In fact, integration-to-the-wall with low-Reynolds approach strongly affects accuracy of results, but strongly increases ...
Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The integration of rotating machineries in human-populated environments requires to limit noise emissions, with multiple aspects impacting on control of amplitude and frequency of the acoustic signature. This is a key issue ...
Characterization of High-Pressure Hydrogen Leakages
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Reduction of gas turbine (GT) carbon emissions relies on a strategy for fueling the engines with pure or blended hydrogen. The major technical challenges to solve are (i) the adjustments to the engine and in particular the ...
Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work deals with the application of the open-source computational fluid dynamics (CFD) code MULTALL to the analysis of tube-axial fans. The code has been widely validated in the literature for high-speed turbomachine ...
Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The introduction of hydrogen–methane blends as fuel in gas turbines raises concerns on the capability of state-of-art ventilation systems to dilute possible fuel leaks in the enclosures. Traditional numerical methods to ...
A Multi-Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Floating offshore wind energy will play a key role in the clean energy transition. The number of large-scale wind farm projects is growing in regions like Northern Europe, the East Coast of the U.S., and the Mediterranean ...
Large Eddy Simulation of a Tunnel Ventilation Fan
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper we discuss a computational method focused on the prediction of unsteady aerodynamics, adequate for industrial turbomachinery. Here we focus on a single rotor device selected from a new family of large tunnel ...