The objective of this study is to simulate tool wear in drilling of nickel-based alloys, in particular Inconel 718. When machining these kind of\ud materials, the impact of the thermal and mechanical phenomena generated by tool wear on the surface integrity is of prime concern. For this\ud reason, it important to study the influence of tool wear on tool life, on final part quality and on cutting force and power consumption. Tool wear\ud is caused by several phenomena (adhesion, abrasion, erosion, diffusion, corrosion, fracture etc.) depending on selected cutting parameters (cutting\ud velocity, feed rate, etc.). In some cases these wear mechanisms can be described by analytical models which are function of physical quantities\ud involved in process (temperature, pressure and sliding velocity along the cutting surface).Usually, commercial FEM software allows to implement\ud these tool wear models but without tool geometry update. To overcoming this limitation, a suitable subroutine considering tool geometry update\ud was developed and implemented in SFTC DEFORM-3D FEA software to simulate tool wear in drilling of Inconel 718. A good agreement was\ud obtained between the predicted and measured tool wear data

The interest on micro cutting processes is proved by the attention of industries on this topic. This trend moves the researches on micro cutting toward different aspects. A modelling procedure for forecasting cutting forces in microcutting, considering all phenomena involved in micro scale, can be of interest for industries allowing the evaluation of process quality. This paper deals with modelling of cutting forces in micromilling operations of channels. The proposed procedure is a combination of a force model based on specific cutting pressure and instantaneous chip section, estimated considering the tool run-out contribution, an optimisation strategy (particles swarm optimisation), and data coming from experimental tests realised on a sample of titanium alloy (Ti6Al4V). The comparisons between experimental and analytical data, and the evaluation of the uncertainty of the calibrated model show the good ability of the proposed procedure for defining analytical model for force prediction in channels micromilling

No abstract

No abstract

No abstract