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The modelling accuracy was first verified with an analytical equation for a reactive mass transport problem including advection, dispersion and linear adsorption processes through groundwater flow medium.

The differential straining is here considered as a deformation field added to the mechanical strain field and coming from the solution of a mass transport problem for instance.

This paper is concerned with a Monge Kantorovich mass transport problem in which in the transport cost we replace the Euclidean distance with a discrete distance.

The applicability of the FTACV method over a wide range of electrode kinetic values and size ratios is considered for conditions under which numerical simulations based on a 1D diffusion model are adequate to describe the mass transport problem.

Thus, a computational fluid dynamics (CFD) procedure utilizing the Eulerian Eulerian approach has been used to solve the governing differential equations for the solid liquid mass transport problem based on the standard k ε model incorporating additional terms that take account of the interfacial turbulent momentum transfer.

Image analysis algorithms for quantifying blood flow vary in complexity from simply determining the bolus transit time between two fixed regions of interest (ROIs) to iteratively solving the inverse mass transport problem to obtain volumetric flow rates [ 1].

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CNTs, however, have an inherent hydrophobic nature that can significantly reduce the mass transport problems.

We use mass transport problems to demonstrate the consistency between the theoretical findings and LBM solutions.

In this case, no signs of severe mass transport problems due to crushed transport layers are visible in either polarization curves or impedance plots, even at high currents.

In regards to the operator split method proposed in this paper, a broad range of problems can be solved such as basic mass transport problems or failure problem induced both by mechanical loading and differential straining.

The parameters of engineering interest in heat and mass transport problems are the local Nusselt number Nu x, the Sherwood number Sh x and the nanofluid Sherwood number Sh x, n.

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