Identification of Surface Roughness

Abstract
The Fourier spectral estimates of machined surface roughness data are investigated in detail, and, in particular, the shape of these estimates is examined. From these assessments, a parameter is derived which enables a description to be produced of the underlying form of spectral estimates of machined surface roughness data, without the requirement for a stylus instrument operator to select a standard cut-off filter.

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