Abstract
Ultra-precision diamond milling (UPDM) is one of ultra-precision machining approaches, providing nanometric surface roughness (NSR). The NSR exhibits rich anisotropic features, which is very sensitive to noise. However, there is lack of effective assessment of the anisotropic NSR. Therefore, the study proposed surface difference and surface curvatures as extra parameters to estimate the anisotropic NSR of UPDM. Moreover, noise effects were reduced by probability distribution with the 95–99 rule. Significantly, the proposed method effectively represents the anisotropic assessment of the NSR of UPDM.
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