ABSTRACT
Solving multi-variable and multi-objective functions is quite complex, and hence in such cases, it becomes necessary to change multi-objectives to a single performance index that represents an overall quality index for multiple quality characteristics. Through this way, response correlation can be eliminated. The correlated responses are converted in the same or lower figure of non-correlated quality indices. In this technique, these are also known as individual or singular principal components. Maximal accountability proportion along with principal components is also considered as the overall performance index. In case if we have more than one principal component, then we need to calculate the composite principal component. This is one of the mathematical tools to obtain the solution for optimization problems. In this chapter, the effect of machining parameters in electrical discharge machining on the machining characteristics of EN 19 tool steel work sample has been investigated. Material Removal Rate along with five surface roughness parameters (Rq, Rsm, Ra, Rsk and Rku) are considered as responses, while machining variables are pulse current, pulse off-time, voltage and pulse on-time.
