Adaptive fuzzy-control system for high speed machining processes results of a case study

This paper presents a new approach to control cutting force in high-speed machining process. An adaptive fuzzy-control system, based on radial fuzzy functions (KBF), and inspired in L.X. Wang approach, has been designed and implemented in an open computerized numerical control (CNC). The controller uses cutting force measured from dynamometric platform and mathematically processed by means of an integrated application, to modify the feed rate in real-time. The integration process, design steps and results of applying an adaptive fuzzy-control system are shown through the example of real high-speed machining operations. The results show a good transient response in the cutting force pattern. Hence, the successful generalization of the proposed algorithm could be a solution for the new requirements of manufacturing industry.

I. Introduction

One of the main activities the manufacturing industry has to deal with is machining, a process that includes operations that range from rough mining to finishing, During the last decade high speed machining (HSM) has become a strategic technological area due to the influence of higher cutting speeds on the efficiency of manufacturing industry.