M
Mojtaba Tahani
Researcher at University of Tehran
Publications - 71
Citations - 1319
Mojtaba Tahani is an academic researcher from University of Tehran. The author has contributed to research in topics: Turbine & Airfoil. The author has an hindex of 18, co-authored 70 publications receiving 999 citations. Previous affiliations of Mojtaba Tahani include Islamic Azad University & Iran University of Science and Technology.
Papers
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Numerical study of the effects of some geometric characteristics of a centrifugal pump impeller that pumps a viscous fluid
TL;DR: In this article, the 3-D flow in a centrifugal pump along with the volute has been numerically simulated for different cases of primary geometry and for the changes made to the outlet angle and passage width of the impeller, and also for simultaneous modifications of these parameters.
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Optimization of PV/Wind/Battery stand-alone system, using hybrid FPA/SA algorithm and CFD simulation, case study: Tehran
TL;DR: In this paper, a new evolutionary based optimization technique, namely hybrid FPA/SA algorithm was developed, in order to maximize system reliability and minimize system's costs, which combines the approaches which are utilized in Flower Pollination Algorithm (FPA) and Simulated Annealing (SA) algorithm.
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Analysis of gas turbine operating parameters with inlet fogging and wet compression processes
Sepehr Sanaye,Mojtaba Tahani +1 more
TL;DR: In this article, the effects of evaporative cooling on gas turbine performance were studied and the results of this analysis for saturated inlet fogging as well as 1% and 2% overspray are reported and the prediction equations for the amount of actual increased net power output of various gas turbine nominal power output are proposed.
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Sensitivity Analysis of the Artificial Neural Network Outputs in Friction Stir Lap Joining of Aluminum to Brass
TL;DR: In this article, an artificial neural network model was developed to simulate the correlation between the FSLW parameters and mechanical properties, and a sensitivity analysis was performed to investigate the effect of each input parameter on the output in terms of magnitude and direction.
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Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm
TL;DR: In this paper, a comprehensive thermodynamic modeling of a combined cycle power plant is first conducted and the effects of gas turbine inlet fogging system on the first and second law efficiencies and net power outputs of combined cycle Power plants are investigated.