Mohammad Arabnia's research while affiliated with Concordia University Montreal and other places

Publications (4)

Conference Paper
This paper presents a practical and effective optimization approach to minimize 3D-related flow losses associated with high aerodynamic inlet blockage by re-stacking the turbine rotor blades. This approach is applied to redesign the rotor of a low speed subsonic single-stage turbine that was designed and tested in DLR, Germany. The optimization is...
Conference Paper
The flow in modern turbines is highly three dimensional and fairly complex. This paper presents a practical and effective optimization approach to minimize 3D-related flow losses by re-staggering and re-stacking the blades. This approach is applied to the redesign of a low speed high subsonic single stage turbine, that was designed and tested in Ha...
Conference Paper
This paper presents a simple, effective and practical shape optimization approach for axial turbine stages so as to minimize the three-dimensional flow losses and simultaneously improve the turbine structural properties. The main objectives of the optimization are to maximize the stage efficiency and simultaneously minimize the von Mises stress whi...
Conference Paper
This paper presents an effective and practical shape optimization strategy for turbine stages so as to minimize the adverse effects of three-dimensional flow features on the turbine performance. The optimization method combines a genetic algorithm (GA), with a Response Surface Approximation (RSA) of the Artificial Neural Network (ANN) type. During...

Citations

... Berchiolli et al. [13] constrained the power output, the global maximum Mach number and the stator and rotor factor of safety (FOS) while other studies were only concerned with geometric constraints to ensure that the optimised profile meets all engineering constraints [11,20]. The structural analysis is important to ensure a safe blade design and have been introduced in many studies [22,23], although with added complexity to the model. Common materials in structural simulations of axial turbines are Inconel 718 [22], Inconel 738 [13] and 12% Chromium steel [11]. ...
... However, a brief description of the optimization strategy used in this paper is given below. Some recent applications of automatic optimization techniques for blade design can be found in Ref. [21] for a transonic fan stage, in Ref. [22] for a transonic compressor rotor, and in Ref. [23] for an axial turbine rotor blade. ...
... Miyauchi et al. [17] optimized the meridional flow channel of pump impeller. Arabnia and Ghaly [18] put forward an optimization approach to minimize 3Drelated flow losses by restaggering and restacking the blades. Heo et al. [19] used sequential quadratic programming to search the optimal point from the constructed surrogate model and the optimum design had an increased efficiency. ...
... Other strategies for 3D blades of axial turbine can be found in [34] and [28], with results of high quality in terms of optimization. Of course that we can imagine how this process looks like at the entire gas turbine level. ...