Survey on various control techniques in micro grinding processes

Abstract

Due to the highly demanding geometric accuracy and surface finish for many modern products, grinding processes have been extensively used in manufacturing industry. However, it is also well accepted that grinding is one of the most complicated machining processes due to the high non-linearities, intrinsic uncertainties and time-varying characteristics. Multiple challenging problems exist in the process that limits its overall quality and production in practice. With the increasing demands for higher part geometry accuracy, better surface integrity, more productivity and other desired product parameters (e.g., minimisation of subsurface micro-damage) with less operator intervention, various control methods have been studied and implemented to control position, velocity, force, power, temperature and the material removal rate (MRR) during the grinding process, in order to achieve the desired system performance within certain cost/time. This paper reviews different control strategies in order to provide a guideline for academic researchers and industrial practitioners in improving the final product quality with increased possible process flexibility.

Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

“…In view of the complex nature of the grinding process and stringent finish, accuracy, and part surface integrity requirements, the current practice of designing or controlling grinding processes leave an opportunity for improvement using more robust approaches. This has led to the development of an "intelligent" approach to online control of the grinding processes [146,147] and other strategies that use AI-based controllers based on grinding forces or other in process data such as tooling deflection.…”