In collaboration with Okayama University and Ryobi Systems, an information system company, Molina Simally, a precision machinery design and processing company, has developed AI (artificial intelligence) that estimates chipping, wear, and service life of cutting tools based on the experience and knowledge of experts.The research was conducted after being selected for the national strategic basic technology advancement support project, and the development results were reported to the Small and Medium Enterprise Agency.
According to Molinasi Marie, in the joint research, Ryobi Systems uses AI to detect wear and chipping of tools of different sizes and shapes with high accuracy, while Okayama University's Research Institute is working on turning tool data from small-lot production into big data and using distributed AI for distributed learning. developed a method to do so.
Furthermore, the Okayama University Research Institute analyzed the mechanism of tool wear and realized wear prediction using AI.Based on these research results, Molina Simally constructed a system to visualize wear and chipping of tools and developed a demonstration machine.
In experiments using a demonstrator, it achieved an accuracy rate of 85% or more for defect detection and an accuracy rate of 70% or more for wear prediction, even with small-lot production tools.Molina Simally will continue to improve the accuracy of the demonstrator and aim for commercialization.
At manufacturing sites, the trend is changing from low-mix mass production to high-mix low-volume production, and the number of tools used is increasing.However, due to the shortage of young workers and other factors, the number of skilled workers is declining.
