Sentence examples for using the complete factorial from inspiring English sources

This work presents a novel tuned approach of the Generalized Predictive Control controller in both adaptive and nonadaptive configurations applied to a fed-batch penicillin process using the complete factorial design method.

Using a fraction of the complete factorial design is also advantageous in cases when the number of variables is larger than four, which demands a great number of experiments.

The complete factorial design [32] was used to produce eight (2 × 2 × 2) SP choice scenarios which are in accordance with eight questions.

Then, the validated models are used to predict the response (peak area) of the 3456 experiments of the complete factorial design.

To fully understand the experimental model, the complete factorial portion of the CCD was subjected to metagenomic analysis.

This work covers the optimization of pretreatment step in the ethanol production using a complete factorial design (23), where the analyzed factors were temperature, acid concentration and time in the Dilute Acid pretreatment.

The optimization approach for the yield of bio-oil using a complete factorial design with three parameters: charcoal/solvent, temperature and hydrogen pressure was discussed.

The submerged cultivation process in stirred tank reactors of 6 and 10 liter capacities were carried out using a complete factorial experimental design, with the aim of optimizing the aeration rate and agitation speed.

The experiment was set up using a complete factorial design with 5 different amounts of vermicompost each having four replications.

The influences of temperature, pressure, and solvent flow rate on the extraction kinetics were also investigated, using a complete factorial design 23 (pressures of 200 and 400 bars, temperature of 30 and 50 °C and CO2 mass flow rate of 5.5 × 10−5 and 11.1 × 10−5 kg CO2/s).

Amine insertion in both layered lamellar inorganic matrices, measured by the number of moles of intercalated agent, was optimized using a complete factorial design based on two levels and four factors.