Cutting Conditions Optimization in a Cobalt-based Refractory Material

摘要

This paper presents an experimental study on the machining of a cobalt-based refractory material. The machining of such material has been very little studied from the milling standpoint because of its abradability. It is usually machined by grinding. Our aim is to define the optimal cutting conditions for a given tool, a given part, and a given machine. For this, we use a new optimization technique, based on response surface method, using "Kriging interpolation" and two optimization algorithms: the first one is the Broyden-Fletcher-Goldfarb-Shanno algorithm (BFGS) for an unconstrained optimization algorithm, the second one is the sequential quadratic programming algorithm (SQP) for a constrained problem. With theses optimizations techniques, a correlation between machining cost, tool cost, surface roughness and cutting parameters has been found for a refractory material, for which cutting conditions are only little studied, with a low experimental and calculation cost.