主催: 一般社団法人 日本機械学会
会議名: 日本機械学会 関東支部第28期総会・講演会
開催日: 2022/03/14 - 2022/03/15
Inconel 718 is often used as mechanical parts for jet engines and rockets because of its excellent durability. On the other hand, it is a difficult-to-cut material because it has high-temperature strength and low thermal conductivity. In order to improve the accuracy and efficiency of machining difficult-to-cut materials, it is urgent to establish a system that accurately detects and automates the cutting state. The purpose of this study is to apply acoustic emission (AE) sensing to monitoring the cutting state of difficult-to-cut materials. AE sensing is a sensing technology that measures elastic stress waves that occur when a material is deformed and fractured, and can detect and evaluate changes with time in a material with high sensitivity. In this experiment, AE sensing was introduced at the actual machining site to measure the AE signals during Inconel 718 turning, and the relationship with the cutting state was investigated. As a result, it was found that the AE signals changed step by step as the tool wear progressed.