This article presents the results of a numerical study, using computational fluid dynamics (CFD) analysis to investigate the species distribution of proton exchange membrane fuel cells (PEMFCs) with deflected membrane electrode assembly (MEA). These new geometry were examined while employing three-dimensional, single phase, non-isothermal and parallel flow for model of a PEM fuel cell. This num...

A multicomponent one-dimensional dynamic mathematical model for the reacting slurry systems with a change in gas flow rate due to the chemical reaction is developed. A change in gas flow rate caused by the chemical reaction is modeled using the overall gas mass balance. Thus, all relevant chemical species are included in the model. Linear first-order reaction kinetics is considered. The gas pha...

A computational architecture for direct estimation of heading direction from optic flow is proposed. By representing optic flow information as undulatory spatiotemporal patterns, global first-order differential analysis of the optic flow is reconducted to spatiotemporal filtering operations with local kernels characterized with respect to the fixation point (gaze). These operations can be mappe...

The determination of serum glutamic oxalacetic and glutamic pyruvic transaminase has been simplified by the use of automated analysis. The flow diagrams, concentration of reagents, and calculation of the color unit in terms of the Karmen unit are shown for 2,4-dinitrophenylhydrazine and 6-benzamido-4-methoxy-m -toluidine diazonium chloride as the reacting dyes. Advantages of both methods are co...

We consider a multidimensional model for the combustion of compressible reacting fluids. The flow is governed by the Navier-Stokes in Eulerian coordinates and the chemical reaction is irreversible and is governed by the Arrhenius kinetics. The existence of globally defined weak solutions is established by using weak convergence methods, compactness and interpolation arguments in the spirit of F...

A new type of out-of-phase oscillatory Turing pattern is found in simulations of a simple two-variable model of a bistable reaction-diffusion system consisting of an autocatalytic activator reacting with a substrate that is replenished by a flow. This class of models can describe pH oscillators or enzymatic reactions. No Hopf instability is necessary for this type of oscillatory Turing pattern.