Author(s)

A. Del Prete, A. A. De Vitis & D. Mazzotta

Abstract

A finite element model (FEM), which is able to predict the cutting interactions between the tool and the workpiece (cutting forces and cutting edge temperature) for a typical aeronautical engine Nickel-alloy Inconel 718, has been used to perform a reduced number of FEM calculations indicated by a DOE, in order to evaluate the design space for process parameters. These well-distributed results can be subsequently used to create and evaluate the quality in terms of correct response behaviour for the metamodels created through different approximation techniques (polynomial and neural network). The metamodels based on the best methodology (in terms of effectiveness of process behaviour prediction) have been used to optimize, through Adaptive Simulated Annealing (ASA) algorithms, the process parameters defined in a CAM part program block. The aim of the authors is to modify the Part Program operation parameters according to the constraints arising from the physical nature of the cutting process obtained by FEA. Keywords: machining, FEM, optimization, RSM, ASA.

Keywords

machining, FEM, optimization, RSM, ASA.