Applications of Artificial Intelligence in Grinding

Abstract

The application of AI technologies using modern computers and controllers is seen as a way forward to produce higher quality components more efficiently with smaller batch sizes and more frequent changeovers. Users continue to demand better accuracy, surface integrity, and shorter cycle times with reduced operator intervention and increased flexibility. This paper reviews research into the use of AI methods to harness the knowledge and skills required to plan, set-up, operate and control grinding processes. Basic AI concepts are introduced and discussed particularly in the context of application to grinding. Two main trends are evidenced in the development of AI technologies in grinding: desktop systems to assist tool and parameter selection and self-optimising systems integrated within the machine controller. It is predicted mat future developments will favour increasing communication between these two levels of control within a CIM environment The development of modular systems which are sufficiently robust to plan, supervise and control abrasive processes requires ongoing research and development.