Sentence examples for models of catalyst from inspiring English sources

In particular, references are given to some sorption models of catalyst decay and reactivation and related optimization problems.

The present paper reviews three-dimensional random network models of catalyst support structures.

Based on our literature survey, there was no attempt on ANN modeling of catalyst performance for dehydrogenation reactions.

Based on different training algorithms, MLP has been found as the best network with minimum training error for modeling of catalyst conversion and selectivity.

Some of these morphological features are critical in the modeling of catalyst deactivation under diffusion control.

A one-parameter model of catalyst deactivation, based on the distribution of acid site strengths, is proposed.

We have developed a percolation model of catalyst deactivation which is formally correct both at microscopic and macroscopic length scales.

A model of catalyst pellet regeneration is presented that accounts for the separate combustion reactions of the hydrogen and the carbon in the coke.

In this paper we employ our model of catalyst deactivation developed previously, and systematically investigate the effect of morphological properties of the catalyst (i.e. its topology and pore size distribution) and transport and kinetic parameters on its deposition capacity.

A lattice model of catalyst layer in proton exchange membrane fuel cells (PEMFCs), consisting of randomly distributed catalyst phase (C phase) and mixed ionomer-pore phase (IP phase), was established by means of Monte Carlo method.

A series of computational fluid dynamics calculations of the flow and heat transfer in the reactor, as well as modeling of catalyst particle transport reveals the parametrical dependence of the process.