Design of experiment (DOE) is a structured, organized
method for determining the significant and insignificant
factors as well as the relationship between the different input
factors affecting the outputs of a process. DOE involves designing
a set of experiments, in which all relevant factors are varied
systematically. One of the most important methods of DOE is
fractional factorial design. Fractional factorial design sacrifices
interaction effects so that main effects may still be computed
correctly. This paper proposes an application of fractional factorial
design to execute the experimental procedures, to determine
the significant and insignificant factors, and finally, to investigate
a reliable mathematical model for maximizing the metal removal
rate in the one of the nontraditional machining processes. Nontraditional machining processes have the ability to machine the
highly alloyed materials with a fine surface finish and high dimensional accuracy. To provide a realistic environment for
applying the fractional factorial design, wire electrochemical
turning (WECT) process is adopted as a test bed.