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Shaohang Yan, Mingchen Qiang, Qi Zhao, Yu Hou and Tianwei Lai
In high-speed motors, there is a huge amount of heat generation from core and winding losses, which may result in thermal failures or motor performance deterioration. In the prevention of heat accumulation, efficient cooling technology is critical for sm...
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Yu Hou, Qi Zhao, Yu Guo, Xionghao Ren, Tianwei Lai and Shuangtao Chen
Gas foil bearing has been widely used in high-speed turbo machinery due to its oil-free, wide temperature range, low cost, high adaptability, high stability and environmental friendliness. In this paper, state-of-the-art investigations of gas foil bearin...
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Yuri Frey Marioni, Enrique Alvarez de Toledo Ortiz, Andrea Cassinelli, Francesco Montomoli, Paolo Adami and Raul Vazquez
In this paper, we investigate the feasibility of using DNS data and machine learning algorithms to assist RANS turbulence model development. High-fidelity DNS data are generated with the incompressible Navier?Stokes solver implemented in the spectral/hp ...
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Arne Seitz, Anaïs Luisa Habermann, Fabian Peter, Florian Troeltsch, Alejandro Castillo Pardo, Biagio Della Corte, Martijn van Sluis, Zdobyslaw Goraj, Mariusz Kowalski, Xin Zhao, Tomas Grönstedt, Julian Bijewitz and Guido Wortmann
Key results from the EU H2020 project CENTRELINE are presented. The research activities undertaken to demonstrate the proof of concept (technology readiness level?TRL 3) for the so-called propulsive fuselage concept (PFC) for fuselage wake-filling propul...
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Fábio Lúcio Santos, Maria Lúcia Machado Duarte, Marcos Túlio Corrêa de Faria, Alexandre Carlos Eduardo
Pág. 151 - 157
This paper deals with an analytical model of a rigid rotor supported by hydrodynamic journal bearings where the plane separation technique together with the Artificial Neural Network (ANN) is used to predict the location and magnitude of the correction m...
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