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The project/research was financed in the framework of the project Lublin University of
Technology-Regional Excellence Initiative, funded by the Polish Ministry of Science and Higher Education
(contract no. 030/RID/2018/19).
Surface roughness is among the key indicators describing the quality of machined
surfaces. Although it is an aggregate of several factors, the condition of the surface is largely
determined by the type of tool and the operational parameters of machining. This study sought to
examine the effect that particular machining parameters have on the quality of the surface. The
investigated operation was the high‐speed dry milling of a magnesium alloy with a polycrystalline
diamond (PCD) cutting tool dedicated for light metal applications. Magnesium alloys have low
density, and thus are commonly used in the aerospace or automotive industries. The state of the Mg
surfaces was assessed using the 2D surface roughness parameters, measured on the lateral and the
end face of the specimens, and the end‐face 3D area roughness parameters. The description of the
surfaces was complemented with the surface topography maps and the Abbott–Firestone curves of
the specimens. Most 2D roughness parameters were to a limited extent affected by the changes in
the cutting speed and the axial depth of cut, therefore, the results from the measurements were
subjected to statistical analysis. From the data comparison, it emerged that PCD‐tipped tools are
resilient to changes in the cutting parameters and produce a high‐quality surface finish.
