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Brian H. Dennis

Researcher at University of Texas at Arlington

Publications -  102
Citations -  1368

Brian H. Dennis is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Finite element method & Thermal conduction. The author has an hindex of 22, co-authored 100 publications receiving 1240 citations. Previous affiliations of Brian H. Dennis include Pennsylvania State University & University of Szeged.

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Aerodynamic Shape Optimization of a Vertical-Axis Wind Turbine Using Differential Evolution

TL;DR: The purpose of this study is to introduce and demonstrate a fully automated process for optimizing the airfoil cross-section of a vertical-axis wind turbine (VAWT) to maximize the torque while enforcing typical wind turbine design constraints such as tip speed ratio, solidity, and blade profile.
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Electro- and Photoreduction of Carbon Dioxide: The Twain Shall Meet at Copper Oxide/Copper Interfaces

TL;DR: In this paper, the authors highlight experimental evidence for the fact that both electrochemical and photoelectrochemical (PEC) reduction scenarios have similar chemical and morphological underpinnings in the in situ formation of copper nano- or microcubes on the (photo)cathode surface.
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Finite element simulation of cooling of realistic 3-D human head and neck

TL;DR: The results show that substantial cooling could be achieved in conjunction with neck cooling if the blood speed in the carotid artery is reduced from normal by a factor of 10, and suggest that additional cooling means should be explored, such as cooling of other pertinent parts of the human anatomy.
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Simultaneous prediction of external flow-field and temperature in internally cooled 3-D turbine blade material

TL;DR: In this article, a two-dimensional and a three-dimensional conjugate heat transfer (convection-conduction) prediction codes were developed where the compressible turbulent flow Navier-Stokes equations are solved simultaneously in the flow-field and in the solid material of the structure thus automatically predicting correct magnitudes and distribution of surface temperatures and heat fluxes.
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Magnetic field suppression of melt flow in crystal growth

TL;DR: In this paper, the p-version least squares finite element method was used for prediction of solidification from a melt under the influence of an externally applied magnetic field, and the computational results indicated significantly different flow-field patterns and thermal fields in the melt and the accrued solid in the cases of full gravity, reduced gravity, and an applied uniform magnetic field.