Design of experiments was used to optimize the factors temperature, solvents and static time of dialysis.
Taguchi orthogonal array experimental design and response surface methodology were employed to optimize the factors involved in the extraction process.
The objective of this work is to use factorial design to optimize the factors involved in the preconcentration process of heavy metals using APDC.
An analytical model and dimensionless analysis were applied to optimize the factors influencing the emission rate, and experiments were conducted to validate the analytical results.
An attempt to optimize the factors contributing to the cost of transporting such mixtures from the fields to the processing facilities, seems to be very useful and cost effective.
Full factorial central composite design (CCD) with four factors namely current density (J), dosage of sodium chloride (NaCl) (m), electrolysis time (t) and pH, with each factor at five levels, was used to optimize the factors for higher COD removal.
Response Surface Methodology (RS M, using a three-factor, three-level Box Behnken statistical design and digital image processing, were used to optimize the factors affecting image quality, which include X-ray voltage, current, and slice thickness.
Box Behnken statistical design was used to optimize the factors affecting the extraction efficiency of the silica such as concentration of sodium hydroxide, reaction time and reaction temperature, and to determine the optimum conditions for the extraction process.
A Box Behnken statistical design was used to optimize the factors affecting the extraction efficiency of the alumina such as sulfuric acid concentration, reaction time and reaction temperature, and to determine the optimum conditions for the extraction process.
Box-Behnken statistical experimental design was used to optimize the factors affecting the dissolution efficiency of the silica such as stoichiometry (NaOH SiO2), reaction time and reaction temperature, and to determine the optimum conditions for the extraction process.
