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Konstantinos V. Kostas and Maria Manousaridou
In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil?s aerodynamic or hydrodynamic performance given it...
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Yuchen Shang and Juan J. Horrillo
In this study we investigated the performance of NACA 0012 hydrofoils aligned in tandem using parametric method and Neural Networks. We use the 2D viscous numerical model (STAR-CCM+) to simulate the hydrofoil system. To validate the numerical model, we m...
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Angelo Lerro, Alberto Brandl, Manuela Battipede and Piero Gili
Digital avionic solutions enable advanced flight control systems to be available also on smaller aircraft. One of the safety-critical segments is the air data system. Innovative architectures allow the use of synthetic sensors that can introduce signific...
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Julian Kullick and Christoph M. Hackl
Deep geothermal energy systems employ electric submersible pumps (ESPs) in order to lift geothermal fluid from the production well to the surface. However, rough downhole conditions and high flow rates impose heavy strain on the components, leading to fr...
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Tien Van Truong, Quoc-Viet Nguyen and Heow Pueh Lee
Over the last decades, there has been great interest in understanding the aerodynamics of flapping flight and development of flapping wing Micro Air Vehicles (FWMAVs). The camber deformation and twisting has been demonstrated quantitatively in a number o...
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Stephan Mark Spiller, Nils Rüther and Heide Friedrich
The dynamic lift acting on a 100 mm × 100 mm section of a static armor layer during unsteady flow is directly measured in a series of physical experiments. The static armor layer is represented by an artificial streambed mold, made from an actual gravel ...
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Ryan M. Robinson, Curt S. Kothera and Norman M. Wereley
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