S
S. Shaaban
Researcher at Arab Academy for Science, Technology & Maritime Transport
Publications - 38
Citations - 673
S. Shaaban is an academic researcher from Arab Academy for Science, Technology & Maritime Transport. The author has contributed to research in topics: Turbine & Wells turbine. The author has an hindex of 14, co-authored 30 publications receiving 534 citations. Previous affiliations of S. Shaaban include Leibniz University of Hanover & Helwan University.
Papers
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DissertationDOI
Experimental investigation and extended simulation of turbocharger non-adiabatic performance
Book ChapterDOI
Analysis of Turbocharger Non-Adiabatic Performance
S. Shaaban,Joerg R. Seume +1 more
TL;DR: In this paper, one of the most important factors affecting the turbocharger performance is the heat transfer inside the turbo charger and from the turbo compressor to the ambient, which causes underestimation of the measured compressor efficiency and overestimation of turbine efficiency.
Journal ArticleDOI
Optimization of blade pitch angle of an axial turbine used for wave energy conversion
Mohamed H. Mohamed,S. Shaaban +1 more
TL;DR: In this paper, the authors proposed to improve the aerodynamic efficiency of Wells turbines by optimizing the blade pitch angle, which can substantially improve turbine efficiency while slightly delaying the turbine starting point.
Journal ArticleDOI
Effect of duct geometry on Wells turbine performance
S. Shaaban,A.A. Hafiz +1 more
TL;DR: In this article, the authors proposed the use of a symmetrical duct in the form of a venturi tube with turbine rotor located at throat to enhance the turbine performance, and the effects of duct area ratio and duct angle are investigated in order to optimize Wells turbine performance.
Journal ArticleDOI
Numerical investigation and optimization of the solar chimney collector performance and power density
Omar A. Najm,S. Shaaban +1 more
TL;DR: In this article, a detailed numerical investigation and optimization of the solar chimney power density under different operating conditions was presented, where the solar irradiance was modeled using the discrete ordinates (DO) radiation model.