Machining accuracy can be compromised by elastic workpiece deformation and subsurface residual stress introduction during cutting. In order to anticipate the impact of cutting forces and surface integrity evolutions on finished surface and its geometrical errors, it is necessary to better understand the influence of cutting conditions and tool wear. In this study, machinability of Inconel 718 using a round carbide tool in finish turning conditions is assessed. Cutting forces evolution during tool life are analysed and accompanied by advanced investigations of cutting phenomena. An original mechanistic cutting force model is developed, identified and tested. It includes the effect of tool wear over time in its local formulation. This model allows predicting cutting forces evolution along tool pass for a wide range of finishing cutting conditions. Furthermore, a thorough analysis of residual stress profiles at different tool wear levels is led. It features quantitative results for fresh and worn tools. A study on the influence of cutting parameters and tool wear on residual stress profiles in the machining affected zone is highlighted.
Cutting forces are representative data to characterize machining operations.They have to be known to perform the part manufacturing. Therefore, cutting forces predictive models are useful and it is possible to optimize them by taking into account new parameters. Hence, this study deals with the geometrical modelling of tool-workpiece interaction and its influence on the cutting forces. The analysis focuses on convex contact radius between the machined part and the tool. Experiments are based on cylindrical and face turning of Ti6Al4V titanium alloy. The results highlight a significant influence of contact conditions on ploughing mechanisms, and consequently on the cutting forces intensity. This phenomenon is taken into account inthe suggested models, providing a better accuracy of cutting forces modelled.International audienceCutting forces are representative data to characterize machining operations.They have to be known to perform the part manufacturing. Therefore, cutting forces predictive models are useful and it is possible to optimize them by taking into account new parameters. Hence, this study deals with the geometrical modelling of tool-workpiece interaction and its influence on the cutting forces. The analysis focuses on convex contact radius between the machined part and the tool. Experiments are based on cylindrical and face turning of Ti6Al4V titanium alloy. The results highlight a significant influence of contact conditions on ploughing mechanisms, and consequently on the cutting forces intensity. This phenomenon is taken into account inthe suggested models, providing a better accuracy of cutting forces modelled
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