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    Performance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 004:;page 41002-1
    Author(s): Kocak, Eyup; Ayli, Ece
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In today’s technology, in case of the need for rehabilitation, renovation, or damage, it is necessary to recover the problems quickly with a cost-effective approach. In the case of destructive failure, or misdesign of the ...
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    A Comparative Study of Multiple Regression and Machine Learning Techniques for Prediction of Nanofluid Heat Transfer 

    Source: Journal of Thermal Science and Engineering Applications:;2021:;volume( 014 ):;issue: 006:;page 61002-1
    Author(s): Kocak, Eyup; Aylı, Ece; Turkoglu, Hasmet
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The aim of this article is to introduce and discuss prediction power of the multiple regression technique, artificial neural network (ANN), and adaptive neuro-fuzzy interface system (ANFIS) methods for predicting the forced ...
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    Machine Learning Based Developing Flow Control Technique Over Circular Cylinders 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 002:;page 21015
    Author(s): Ayli, Ece;Kocak, Eyup;Turkoglu, Hasmet
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper demonstrates the feasibility of blowing and suction for flow control based on the computational fluid dynamics (CFD) simulations at a low Reynolds number flows. The effects of blowing and suction position, and ...
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    Developing and Implementation of an Optimization Technique for Solar Chimney Power Plant With Machine Learning 

    Source: Journal of Energy Resources Technology:;2021:;volume( 143 ):;issue: 005:;page 052109-1
    Author(s): Ulucak, Oğuzhan; Kocak, Eyup; Bayer, Ozgur; Beldek, Ulaş; Yapıcı, Ekin Özgirgin; Aylı, Ece
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Green energy has seen a huge surge of interest recently due to various environmental and financial reasons. To extract the most out of a renewable system and to go greener, new approaches are evolving. In this paper, the ...
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