Characterization of cutting dynamics in ultra-precision diamond turning

A multiple data dependent systems (MDDS) method is presented which provides a component-by-component wavelength decomposition of the surface roughness profile at a finite number of radial sections of the workpiece. The characteristics of these wavelength components are correlated to different surface generation mechanisms. Their relative powers are used to measure the contributions of the mechanisms to the total roughness. Since the local cutting dynamics are taken into account, the method resolves the shortcomings of conventional DDS and FFT spectrum analysis methods in characterizing the local variation of the material properties, cutting dynamics and surface roughness in SPDT.