Abstract
One of major problems accompanying metal cutting is the appearing of relative vibrations between tool and the machined work-piece. These vibrations are essentially the result of cutting process itself. They can cause a waved machined surface and limit the process performances, severely. These vibrations can also affect tool life-time and lead to a fast harmful of certain machine tool parts (bearings, slides .....). In the present paper a relationship between vibrations and cut surface roughness in the case of turning, throughout a building of mathematical correlation, is proposed. This allows the prediction of roughness based on the knowledge of tool-nose displacements. The latter evaluated from the gathering of signal accelerations. DOI: http://dx.doi.org/10.5755/j01.mech.19.1.3612
Highlights
The surface roughness of workpieces achieved by turning operations plays a determinable role on product quality
The forced vibrations appear under the effect of various periodic disturbances, whereas the self-excited vibrations, which are characterised by the development of surface imperfections on the workpiece, are commonly named chattering
The present study proposes to bring understandings of the effect of operating parameters and their interactions on the machined surface roughness
Summary
The surface roughness of workpieces achieved by turning operations plays a determinable role on product quality. The developed experimental approach takes into account many factors such as feed rate, workpiece material hardness, tool-nose radius, cutting depth and their mutual interaction. Analysis of the results obtained highlights once more that the feed rate and the tool geometry have an important influence on roughness evolution It can be noted in a set of factorial experiments carried out by [11] Feng and Hu (2001) and Feng (2001) that cutting angle, the tool-nose radius, the feed rate, the cutting depth, the cutting speed, the workpiece stiffness as well as the various interactions between these factors have a significant effect on the cut surface roughness variation. This model is based on the multiple linear regression method which is is established according to the tool displacements in radial, axial and tangential directions
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