Investigating Multiple Quality Objectives for Surface Roughness and Dimensional Accuracy of Carbon Steel Manufactured by Turn-Mill Multitasking Machining

摘要

), the axial cutting depth, and then taking the surface roughness and dimensional accuracy as the characteristic indicators, and then the respective signal-to-noise ratio (S/N) is grayed out according to the experimental sequence to generate normalization, and the gray correlation coefficient is obtained. Further, a Multiple Performance Characteristic Index (MPCI) is obtained. The research results clearly demonstrated that the overall results of the process optimum parameters obtained by using the measurement indicators of multiple quality characteristics prevail the results of the individual optimized process parameters.