Tool Wear Monitoring with Artificial Intelligence Methods: A Review

Tool wear is one of the main issues encountered in manufacturing industry during machining operations. In traditional for chip removal, it necessary to know tool since modification geometric characteristics cutting edge makes unable guarantee quality required machining. Knowing and measuring tools possible through artificial intelligence (AI), a branch information technology that, by interpreting behaviour tool, predicts its intelligent systems. AI systems include techniques such as machine learning, deep learning neural networks, which allow study, construction implementation algorithms order understand, improve optimize process. The aim this research work provide an overview recent years development monitoring general essential requirements offline online methods. last few mainly refer ten years, but with exceptions, better explanation topics covered. Therefore, review identifies, addition methods, industrial sector scientific article refers, type processing, material processed, used calculated. Publications are described accordance PRISMA-P (Preferred Reporting Items Systematic Meta-Analysis Protocols).