Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Oubay Hassan"'
Autor:
Nikhar Khanna, Mohamed El Hachemi, Ruben Sevilla, Oubay Hassan, Kenneth Morgan, Emanuele Barborini, Salim Belouettar
Publikováno v:
Composites Part C: Open Access, Vol 8, Iss , Pp 100282- (2022)
The work presented involves the multiphysical modelling, simulation and design optimization of a key component of a Solar Selective Coatings (SSC). The investigated SSC absorber consists of a near homogeneous distribution of nanoparticles of Titanium
Externí odkaz:
https://doaj.org/article/86e018c664c44a85aedacb841e237431
Publikováno v:
Engineering with Computers.
This work presents a novel approach capable of predicting an appropriate spacing function that can be used to generate a near-optimal mesh suitable for simulation. The main objective is to make use of the large number of simulations that are nowadays
This volume contains recent research papers presented at the international workshop on “Probabilistic Methods in Fluids” held in Swansea. The central problems considered were turbulence and the Navier-Stokes equations but, as is now well known, t
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 236:1895-1921
The land speed record vehicle, Bloodhound, undertook testing at subsonic and low transonic speeds (up to Mach 0.8) at Hakskeen Pan, South Africa, during October and November of 2019. A decade of CFD-led aerodynamic design had been undertaken to produ
Publikováno v:
Computational Mechanics. 67:251-263
The standard Yee FDTD algorithm is widely used in computational electromagnetics because of its simplicity and divergence free nature. A generalization of this classical scheme to 3D unstructured co-volume meshes is adopted, based on the use of a Del
Publikováno v:
Advances in Computational Methods and Technologies in Aeronautics and Industry ISBN: 9783031120183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c84c198752f9168abcb62d81a4cf19e
https://doi.org/10.1007/978-3-031-12019-0_10
https://doi.org/10.1007/978-3-031-12019-0_10
Publikováno v:
10th International Conference on Adaptative Modeling and Simulation.
This work proposes a novel multi-output neural network for the prediction of the aerodynamic coefficients of wings in three dimensions using inviscid compressible flow data. Contrary to existing neural networks that are designed to predict the aerody
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805868efcb90ab05aaec0b66ed727b02
Publikováno v:
10th International Conference on Adaptative Modeling and Simulation.
This work proposes a novel multi-output neural network for the prediction of aerodynamic coefficients of aerofoils in two dimensions and wings in three dimensions. Contrary to existing neural networks that are often designed to predict aerodynamic qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242e2e3731fa78d40277dd990457d0d4
https://cronfa.swan.ac.uk/Record/cronfa56398/Download/56398__19473__9fa40e8368d64256a88e7cff60891086.pdf
https://cronfa.swan.ac.uk/Record/cronfa56398/Download/56398__19473__9fa40e8368d64256a88e7cff60891086.pdf