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Departamento de Física
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Divisão de Engenharia Aeronáutica (IEA)
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  • Instituto Tecnológico de Aeronáutica (ITA), 12/2014, Degree: diploma
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    ABSTRACT: This work investigates the influence of physical properties on heat transfer in a turbulent counterflow in a moving bed using the High and Low Reynolds number turbulence models, in which the working fluid flows in opposite direction to that of the steady movement of the permeable rigid medium. Transport equations for flow and heat transfer in a moving bed equipment are applied and discretized using the control-volume method. The system of algebraic equations obtained is relaxed via the SIMPLE algorithm. The effects of Reynolds number, solid-to-fluid velocity ratio, permeability, porosity, ratio of solid-to-fluid thermal capacity and ratio of solid-to-fluid thermal conductivity on heat transport are investigated. Results indicate that motion of solid material, contrary to the direction of the fluid, enhances heat transfer between phases. The same effect was observed for smaller Darcy number and porosity, as well as for higher solid-to-fluid thermal capacity and thermal conductivity ratios. When the intrinsic fluid velocity increases there is a greater conversion of mechanical kinetic energy into turbulence, increasing the final levels of the turbulent kinetic energy for both High and Low Reynolds number models.
    International Journal of Heat and Mass Transfer 01/2014; 72:98–113.
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    ABSTRACT: We present a fast parallel algorithm based on stickers for the DNA computing model to solve the classical mathematical Quadratic Diophantine Equation : ax2+by=cax2+by=c, with a,b,c,x,y∈Z+a,b,c,x,y∈Z+. This problem, also in a decision form, is NP-Complete, and has no known polynomial-time solving within the Deterministic Turing Machine model.
    Applied Mathematics and Computation 01/2014; 238:436–443.


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Journal of ASTM International 01/2011; 8(2).

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