An intelligent architecture for control of machining operation process in CNC machine tool

Recently, numerous attempts have been made to obtain intelligent process planning systems and to increase the capability of computer aided process planning (CAPP) system using new mathematical methods. The paper presents an intelligent architecture based on AND/OR nets for planning of a CNC machining operation and adaptive fuzzy Petri nets for control of product quality specification such as surface roughness and machining process quality. In this paper it will be shown that several ideas and approaches which are proposed in the field of robotic assembly are applicable to the planning procedure modeling with minor modifications.