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Several chemical and flow variables were considered as factors in the optimization process using central composite designs.
Treatment was monitored by a safety oversight process using central data to enhance study site compliance and consistency with treatment protocols.
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Key parameters such as initial MNZ or MO concentration, nZVI concentration, and NaBH4 concentration for MNZ or MO removal process was optimized using central composite design (CCD).
A quadratic model was proposed to correlate the independent variables for maximum ash reduction at the optimum process condition by using central composite design (CCD) method.
Finally, based on the developed kinetic model the degradation process was optimized using central composite design taking as key parameters the ferrous ion concentration and current density.
The impact of key parameters on the degradation efficiency of AO7 by pyrite nanoparticles catalyzed Fenton process was modeled using central composite design (CCD).
The optimal bioleaching operating parameters i.e., soil solid content and sulfur (substrate) dosage for this bioleaching process were studied using central composite design (CCD) and response surface methodology (RS M.
Modeling and optimization of Fluoxetine degradation in aqueous solution by ozone/H2O2 process was investigated using central composite design (CCD) and the results were compared with the artificial neural network (ANN) predicted values.
The other optimization processes were performed using central composite design (CCD), artificial neural network (ANN) and genetic algorithm (GA).
Design of experiments, modeling and process optimization were accomplished using central composite design of response surface methodology.
An operational optimization of the process was investigated by using central composite design (CCD) considering three independent variables: supersaturation level, dimensionless vibration number and crystallization time.
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