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.