Due to high applicability of the fixed bed catalytic naphtha reforming reactors, hydrodynamic features of this kind of reactors with radial flow pattern are improved in this work by utilising computational fluid dynamics technique. Effects of catalytic bed porosity, inlet flow rate and flow regime through the bed on the flow distribution within the system are investigated.It is found that t...

in this article, dynamics of the cerebrospinal fluid (csf) was studied, using computational fluid dynamics. using mri images of two special cases, a 2-dimensional model of the ventricular system was made. csf velocity and pressure distribution in ventricular system have high importance since the flow pattern of this liquid has an important effect on intracranial pressure, i.e., icp, which has a...

In this article, one-phase and three dimensional computational fluid dynamics analysis was utilized to investigate the effect of annular field pattern of proton exchange membrane fuel cells (PEMFC) with different geometry on the performances and species distribution. This computational fluid dynamics code is used for solving the equation in single domain namely the flow field, the mass conserva...

A full three-dimensional, single phase computational fluid dynamics model of a proton exchange membrane fuel cell (PEMFC) with both the gas distribution flow channels and the Membrane Electrode Assembly (MEA) has been developed. A single set of conservation equations which are valid for the flow channels, gas-diffusion electrodes, catalyst layers, and the membrane region are developed and numer...

the phytoplankton structure and dynamics were analysed in relation to abiotic variables inpaso de las piedras reservoir, argentina. phytoplankton driving forces were explored using a functionalapproach. a total of 15 functional groups were identified among which d, p, h1, f, j and c were the mostimportant. a canonical variate analysis indicated that the categorization of the species in function...

It is quite common in cross-sectional convergence analyses that data exhibit spatial dependence. Within the literature adopting distribution dynamics approach, authors typically opt for prefiltering. We follow an alternative route and propose a procedure based on estimate of mean function conditional density which we develop two-stage non-parametric estimator allows dependence estimated via spl...