Welding parameters were optimized based on a five factors and four levels orthogonal experimental design.
The experiments were conducted based on a three factor, five-level, central composite rotatable design matrix.
The experiments were conducted based on a three factor, three level, central composite face centered design matrix with full replications technique.
RSM methodology based on a two factor five level central composite design was employed with control variables of ozone concentration (0 to 7.8%w/w) and treatment time (0 to 10 min) at a constant gas flow rate.
A recent reanalysis of a large community-based sample of SDQ respondents suggests that in non-clinical (i.e. low-risk) populations a scoring system based on a three factor structure (internalising, externalising and prosocial behaviour) may be more appropriate [ 37].
The experiments were carried out based on a four factors three level Box-Behnken response surface design.
Response surface methodology (RS M based on a two factors three level central composite design was applied to optimize ultrasonic treatments on decay incidence, microbial population and quality maintenance of strawberries.
The key process parameters were optimized by the response surface methodology (RSM) based on a two factor-three level central composite design (CCD), using as variables: pH (4.5 and 6), enzyme loading of Celluclast® (10, 40 and 70 UPF) and temperature (45 °C), for paper industry wastes with/without acid pretreatment.
The key process parameters of solid state enzymolysis for the generation of soluble sugar (SS) and bio-hydrogen production from corn stalk were optimized by the response surface methodology (RS M based on a three factor-five level central composite design (CCD), respectively.
RSM based on a five level, four factor central composite design, was employed to obtain the best possible combination of catalyst concentration, methanol to oil molar ratio, temperature and reaction time for maximum FAME content.
