Volume 25, Issue 3 (May 1997)
Statistical Design of Experiments in Metal Cutting—Part Two: Applications
In the first part of this paper, a comprehensive analysis of the statistical design of experiments was made, and a design methodology was presented. The applied aspects of the design, such as the basic requirements to the criterion of effectiveness, factor selection, and mathematical model formulation, were considered. A 23 factorial experiment was chosen as the basic type of the design of experiments in metal cutting. In this paper, the practical aspects of using the proposed methodology in metal cutting experiments are examined. BTA deep-hole drilling is studied, as an example, using the design of experiments. The influence of cutting speed, feed, and cutting fluid flow rate on the machined holes roughness and roundness is studied using a 23 factorial experiment, complete block. In order to study the tool life and the cutting forces, logarithmic coordinate transformations of the regression equation in Taylor form are proposed.