Experimental design---influence of parameters on the catalytic performance

13 EXPERIMENTAL DESIGN—INFLUENCE OF PARAMETERS ON THE CATALYTIC PERFORMANCE 

The main goal is to design minimum number of experiments needed for the selection of variables influencing catalytic properties. The effect of experimental conditions on the parameters used for evaluating the performance using the minimum number of experiments (runs) was proposed using a full factorial design of experiments. 

Experimental design is an important tool to determine the dependence of variable and to analyze statistically and coherently the experimental results. The classical method is the full factorial design. 

The idea is to design the experiments that provide exact information about the variables and thus defining the main objectives and selecting the appropriate techniques. For each target, there are associated techniques. Knowing the most important variables and the effect of these variables on the system and the interactions between them, then the full factorial design may predict minimum experiments. 

In general, the system can be represented by a functional equation containing correlated factors or variables (entrance) and responses (exit). In particular, the full factorial design requires specifying the upper and lower limits of each factor. This method suggests two limits which are maximum value represented by -1-1 and minimum value represented by -1. 

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