EXPERIMENTAL DESIGN METHODS WITH PRACTICAL APPLICATIONS

Abstract

Experimental design term usually refers to a two-stage modeling. The first of all named as working strategy is the establishment of the experiment execution model in which the operating range of the experimental factors called as working parameters shown the simultaneous changes including their interactions with each other on the reaction. Second step is to determine a linear or nonlinear mathematical model for response surface function to define the relationship between the factors and the experimental result. Predetermination of the experimental factor levels for the experimental works in the laboratory is the most important stage for the creation of experimental strategies. The linear or non-linear mathematical models chosen for the response surface function to define the relationship between the factors and the experimental results may also be as similar complex structure as the models planned for the experiment execution in the working strategy determined. In this case, it is clear that advanced optimization techniques for the mathematical analysis of the response surface function would need for optimization of the working factors. Finally it should be noted that the understanding ability of the experimental design could be improved only by examining laboratory works performed by a chemical transformation as one of its practical applications. In this study prepared in that context experimental design methods would be explained both theoretically in general and practically with examples using alternative soft-wares for some experimental design applications

Keywords

• Experimental Design,Enzyme,Full Factorial Design,Immobilization,Optimization

References

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