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Electronic Cooling

Heat transfer enhancement has received great attention such as automotive, air conditioning, electronic cooling, spacecraft and aircraft applications. Heat transfer enhancement techniques are classified in two groups; active and passive.

*Investigation the effect of geometrical fin parameters for different inter fin ratios and Reynolds number experimentally & numerically

*optimization of the location and the geometry of a vortex promoter, located in a channel above the finned surface 

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Reverse Engineering

the reverse engineering approach allow the researchers to obtain CAD geometry of target object in a short time and enable to optimize geometries to reach desired operation performance levels. 

In this study, a reverse engineering methodology is developed to optimize fan performance and non-contact data acquisition method is used to form a CAD model. A CFD methodology is determined to analyze existing geometry numerically and results are compared with an experimental study to verify numerical methodology.

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     Solar Chimney

In recent decades, demand for energy has been significantly increased, and considering environmental impacts and the degrading nature of fossil fuels, clean and emission-free renewable energy production has attracted a great deal of attention. One of the most promising renewable energy sources is solar energy due to low cost and low harmful emissions, and from the 1980s, one of the most beneficial applications of solar energy is the utilization of solar chimney power plants (SCPP).

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Francis type turbines are commonly used in hydroelectric power plants due to their applicability to wide range of heads and flow rates.Depending on the variation of the environmental factors, new and modernized hydropower systems can work at operating regions both full and part load conditions. Design, hill chart prediction and flow characteristics of an entire Francis turbine are performed numerically. Also  rehabilation studies for the existing HEPP are  performed.

     Turbomachine Design

Machine Learning

Modeling of Mıxed Convection in an Enclosure with using Multiple Regression, ANN and ANFIS Models

In this study, the heat transfer characteristics of laminar combined forced and natural convection through a horizontal duct obtained with the help of the numerical methods. The effect of the geometrical parameters of the cavity and Reynolds number on the heat transfer is investigated. New heat transfer correlation for hydrodynamically fully developed, laminar combined forced convection through a horizontal duct is proposed. Statistical methods are compared with the ANN and ANFIS. 

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