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Recent trends, such as fast prototyping of reactors via 3-D printing of flow channels, miniaturisation and use of multi-physics modelling, are highlighted.
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The importance of stress estimation and associated numerical modelling is highlighted.
For the one-phase case (air flow without particles), good agreement between simulations and experiments is found and the superiority of a wall-function based large eddy simulation (LES) over realizable k ε modelling is highlighted.
Some significant differences with previous published models are highlighted.
Key limitations on the model are highlighted and discussed.
The advantages of the proposed EPR models are highlighted.
Differences and similarities to traditional neural network models are highlighted.
Other relevant applications of the model are highlighted.
In the Conclusions section, the noble features and future scope of the present model are highlighted.
The modifications introduced for this second generation of the model are highlighted.
The three steps that describe the flexible block model are highlighted.
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