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Gábor Janiga

Researcher at Otto-von-Guericke University Magdeburg

Publications -  152
Citations -  3719

Gábor Janiga is an academic researcher from Otto-von-Guericke University Magdeburg. The author has contributed to research in topics: Computational fluid dynamics & Turbulence. The author has an hindex of 29, co-authored 144 publications receiving 2980 citations.

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Optimal blade shape of a modified Savonius turbine using an obstacle shielding the returning blade

TL;DR: In this article, the geometry of the blade shape (skeleton line) was optimized in the presence of the obstacle plate to increase the output power of a Savonius turbine.
Journal ArticleDOI

Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms

TL;DR: A genetic algorithm is used to find the geometry most favorable to simultaneously maximize heat exchange while obtaining a minimum pressure loss, and a nearly optimal speed-up is obtained for the present configuration.
Journal ArticleDOI

Optimization of Savonius turbines using an obstacle shielding the returning blade

TL;DR: In this paper, the position of an obstacle shielding the returning blade of the Savonius turbine and possibly leading to a better flow orientation toward the advancing blade is optimized. And the optimization process takes into account the output power coefficient as target function, considers the position and the angle of the shield as optimization parameters, and relies on Evolutionary Algorithms.
BookDOI

Optimization and Computational Fluid Dynamics

TL;DR: A few illustrative examples of CFD-based optimization can be found in this article, where a complete industrial process: papermaking is described. But these examples are restricted to a single process.
Journal ArticleDOI

Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge.

David A. Steinman, +56 more
TL;DR: Pressure can be predicted with consistency by CFD across a wide range of solvers and solution strategies, but this may not hold true for specific flow patterns or derived quantities.