This article presents a methodology to predict the surface texture of boring process. Boring is a process in which pre-drilled holes or holes in cast, forged or extruded components are enlarged or finished with a cutting tool mounted on a boring bar. The process is mostly used in applications where close dimensional tolerances and good surface finish are required. The surface topography of workpieces often defines their performances, and it directly affects the precision and service life of parts. In this paper, in order to anticipate the surface texture of the machined surface is proposed based on the kinematic of cutting process and tool geometry. In this work, the geometrical features of cutting edge and workpiece are taken into consideration for constructing the surface texture using kinematic rules and transformation operators. ACIS, a 3D B-rep geometric kernel, is used as a geometric engine for simulation of surface texture produced in the boring process. finally, simulation results are compared with Scanning Electron Microscope (SEM) imaging method and the validity of this model is approved.

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