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Because of that, heuristical algorithms have been developed trying to supply systemic approach to the mass transfer network optimization's problem.
The main objective of these heuristical algorithms is to get a mass transfer network [1], where contaminants of rich streams are transferred to other poor streams, in an optimized structure of linked mass transfer operations.
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This objective may be achieved through properly designed heat and mass transfer networks.
A distinguished method to attainment mass transfer networks is the Water Source Diagram (WSD).
In order to achieve the high energy density, heat and mass transfer networks have to be optimized.
Taking into account heat and mass transfers, two networks emerge from the optimal construction: a heat conductive material network and a gas diffusers networks.
Improvement of the mass transfer in the imprinted networks, reduction of the polyclonality of cavities, an increase of available active sites (in particular with the frequent noncovalent interaction) and development of further suitable groupings for catalysis are just some problems at the forefront of investigations [20, 22].
Mass transfer in rapidly photopolymerized hydrogel networks of poly ethylene glycol) (PEG) was investigated to characterize these materials for potential biosensor applications.
In this paper, an optimal tree-shaped network for heat and mass transfer is constructed by using the constructal approach and the entropy generation minimisation method.
Owing to the network structure of ESM, the mass transfer limitation was suppressed which facilitate the binding of substrates and the release of products.
In this work the influence of sub-grid scale properties on interphase mass transfer was investigated using a two-dimensional pore network model.
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