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Supercritical fluid extraction (SFE) process is the sustainable green process for the extraction. Mathematical modeling of SFE process is carried out using mass transfer resistances, which vary with the types of solute. In this paper, the effect of matrices such as leaves, flower concrete, flower bud, herb plant, shrub seed and vegetable matter is studied on extraction yield through different models. These models are solved using COMSOL Multiphysics 5.2 solver and results are validated with that of literature. Experimental data of each type of solute matrix are fitted in various models and best suited model is predicted. [ABSTRACT FROM PUBLISHER]

The present case study work is carried out on a typical steel industry in selection of the optimum amount of chemicals dosage used in DAF unit to remove oil and grease. Neural models are developed between DAF unit variables, i.e., the amount of chemical, the pH, and the amount of oil in the effluent. The amount of alum and polyelectrolyte are considered as independent whereas pH and amount of oil present in outlet stream are accounted as dependent variables. These input and output data are analyzed using ANN and GMDH method, which reduces the cost of the chemical/day-shift by 10.5% and 21.85%, respectively. [ABSTRACT FROM AUTHOR]