Intelligent CNC for Grinding

Abstract

The aim of this research was to improve productivity in grinding by bringing together process technology and microprocessor technology in an adaptive CNC system. The main objective was to produce parts satisfying specified geometrical, metallurgical and surface finish requirements. A secondary objective was to perform grinding under optimal conditions at a maximum production rate. In order to facilitate the application of a flexible range of strategies for control of the grinding process it was decided to formulate a modular conceptual framework. A variety of strategies and process models were incorporated within the framework according to the requirements of the process in question. This philosophy can be extended to a range of processes. The system was implemented using an OSAI A-B 8600 controller to control a Cincinnati centreless grinding machine. Initial production trials proved satisfactory in that the system ‘learned’ the properties of the parts produced, produced parts within specification and reduced the floor-to-floor time.