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Shahram Derakhshan

Researcher at Iran University of Science and Technology

Publications -  46
Citations -  1614

Shahram Derakhshan is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Turbine & Centrifugal pump. The author has an hindex of 16, co-authored 46 publications receiving 1286 citations. Previous affiliations of Shahram Derakhshan include University of Tehran.

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Experimental study of characteristic curves of centrifugal pumps working as turbines in different specific speeds

TL;DR: In this article, the best efficiency point of a pump working as a turbine was predicted based on pump hydraulic characteristics, and two equations were presented to estimate the complete characteristic curves of centrifugal pumps as turbines based on their best efficiency points.
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Theoretical, numerical and experimental prediction of pump as turbine performance

TL;DR: In this paper, a theoretical analysis of the relationship between pump and turbine performance was first performed, and a theoretical method of predicting PAT performance was developed using theoretical analysis and empirical correlation.
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Theoretical, numerical and experimental investigation of centrifugal pumps in reverse operation

TL;DR: The best efficiency point of an industrial centrifugal pump running as turbine was achieved using a theoretical analysis that tries to estimate hydraulic components of reverse (turbine) mode using direct (pump) mode.
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Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm

TL;DR: A global optimization method based on the Artificial Neural Networks and Artificial Bee Colony algorithm has been used along with a validated 3D Navier–Stokes flow solver to redesign the impeller geometry and improve the performance of a Berkeh 32-160 centrifugal pump.
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Efficiency Improvement of Centrifugal Reverse Pumps

TL;DR: It is illustrated that the efficiency of the pump in reverse operation can be improved just by impeller modification, using a gradient based optimization algorithm coupled by a 3D Navier-Stokes flow solver.