M
Mohamed Gad-el-Hak
Researcher at Virginia Commonwealth University
Publications - 212
Citations - 11510
Mohamed Gad-el-Hak is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Turbulence & Boundary layer. The author has an hindex of 51, co-authored 212 publications receiving 10892 citations. Previous affiliations of Mohamed Gad-el-Hak include Johns Hopkins University & University of Virginia.
Papers
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Journal ArticleDOI
Energy efficiency of direct contact membrane distillation
Ruh Ullah,Majeda Khraisheh,Richard J Alan Esteves,James T. McLeskey,Mohammad A. Al-Ghouti,Mohamed Gad-el-Hak,H. Vahedi Tafreshi +6 more
TL;DR: In this article, a grant from the Qatar National Research Fund under its National Priorities Research Program award number NPRP No: 8-270-2-106 was used to support the work of the authors.
Journal ArticleDOI
The pitching delta wing
Mohamed Gad-el-Hak,Chih-Ming Ho +1 more
TL;DR: In this paper, the flow fields around two pitching delta wings with apex angles of 90 and 60 degrees were visualized in a towing tank at chord Reynolds numbers up to 3.5 xlO.
Reference BookDOI
MEMS : Introduction and Fundamentals
TL;DR: In this paper, Mohamed Gad-el-Hak Integrated Simulation for MEMS: Coupling Flow-Structure-Thermal-Electrical Domains Robert M Kirby, George Em Karniadakis, Oleg Mikulchenko, and Kartikeya Mayaram Molecular-Based Microfluidic Simulation Models Ali Beskok Hydrodynamics of Small-Scale Internal Gaseous Flows Nicolas G Hadjiconstantinou Burnett Simulations of Flows in Microdevices Ramesh K Agarwal and Keon-Young Yun Lattice Boltz
Journal ArticleDOI
Control of the discrete vortices from a delta wing
TL;DR: In this article, the authors describe the effect of perturbation on le champ d'ecoulement, i.e., injection or aspiration of un fluide secondaire par une fente le long du bord d'attaque d'une aile delta.
Journal ArticleDOI
Micro-Air-Vehicles: Can They be Controlled Better?
TL;DR: In this paper, the lifting and control surfaces of a fixed-wing MAV were investigated using genetic algorithms and chaotic mixing to energize the laminar boundary layer and thus delay separation.