This project aims to optimise the internal wall surface of seamless tubes. Systems to measure internal tool condition and process forces will provide a database for correlation analysis and on-line prediction-based processing and anticipating maintenance. Hybrid correlation & Finite Element Models will predict the internal wall surface quality based on internal tool condition evolution and tool process parameters. New wear resistant tool materials/coatings and enhanced process lubrication will be introduced to optimize internal tool surface and process parameters. A supervision system will integrate the online information and an anticipating strategy to handle internal tool processes and maintenance proposals e. g. of the time to replace the tool. The system will be demonstrated at a push bench tube line of Benteler. (en)
This project aims to optimise the internal wall surface of seamless tubes. Systems to measure internal tool condition and process forces will provide a database for correlation analysis and on-line prediction-based processing and anticipating maintenance. Hybrid correlation & Finite Element Models will predict the internal wall surface quality based on internal tool condition evolution and tool process parameters. New wear resistant tool materials/coatings and enhanced process lubrication will be introduced to optimize internal tool surface and process parameters. A supervision system will integrate the online information and an anticipating strategy to handle internal tool processes and maintenance proposals e. g. of the time to replace the tool. The system will be demonstrated at a push bench tube line of Benteler. (cs)
Improvement of the internal wall surface of seamless tubes by optimisation and anticipating management of the mandrel bar operation and supervision of the internal tool process (en)
Improvement of the internal wall surface of seamless tubes by optimisation and anticipating management of the mandrel bar operation and supervision of the internal tool process (cs)