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Ali Elham

Researcher at Braunschweig University of Technology

Publications -  83
Citations -  866

Ali Elham is an academic researcher from Braunschweig University of Technology. The author has contributed to research in topics: Wing & Engineering. The author has an hindex of 13, co-authored 60 publications receiving 508 citations. Previous affiliations of Ali Elham include Delft University of Technology.

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Conceptual Design of Operation Strategies for Hybrid Electric Aircraft

TL;DR: In this article, the role of the battery within environmentally friendly concepts with significantly reduced carbon footprint is analyzed, and the main findings underline the importance of choosing the right power-to-energy-ratio of a battery according to the flight mission.
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Development and implementation of an advanced, design-sensitive method for wing weight estimation

TL;DR: In this article, a new analytical derivation of the so-called airfoil effective distance parameter and a new advanced load estimation approach have been developed, which allow achieving a higher level of accuracy and design sensitivity than any other similar method found in literature.
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Quasi-Three-Dimensional Aerodynamic Solver for Multidisciplinary Design Optimization of Lifting Surfaces

TL;DR: In this paper, a quasi-three-dimensional aerodynamic solver was proposed to calculate the viscous wing drag using the combination of a two-dimensional airfoil analysis tool with a vortex lattice code.
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A surrogate-based multi-disciplinary design optimization framework modeling wing–propeller interaction

TL;DR: Examination of the total function calls and run times showed that the use of surrogate models improves overall optimization performance, provided that suitable surrogate modeling techniques are chosen.
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Coupled adjoint aerostructural wing optimization using quasi-three-dimensional aerodynamic analysis

TL;DR: In this article, a quasi-three-dimensional aerodynamic solver is developed and connected to a finite beam element model for wing aerostructural optimization, which needs much lower computational costs, while computes the wing drag and structural deformation with a level of accuracy comparable to the higher fidelity CFD and FEM tools.