Tool wear is a critical factor affecting machining processes, impacting part quality, equipment downtime and production costs. The study focuses on the late stage of wear using a multi-axis grinding operation to simulate artificial tool wear conditions. Verification is carried out through...

The optimization of tool trajectory based on artificial intelligence, utilizing AI and machine learning algorithms, is an evolving field with applications in chip design, system optimization, prediction of cutting processes results and controlling its flow. This research paper explores the...