Strong dissemination of MC-SUITE results to the CIRP conference on High Performance Cutting (HPC2018) in Budapest, the most important conference in the manufacturing field and it is organized by the International Academy of Production Engineering (CIRP).
The MC-SUITE project was properly represented there and part of our research was presented there. The coordinator of MC-SUITE was part of the scientific committee and presented a Keynote Lecture, moreover three presentation were carried out showing the developments of MC-SUITE:
- Keynote Lecture. “Methods to increase damping in machine tools” by the coordinator of MC-SUITE Jokin Munoa. The active damping system developed in MC-CyPhy were shown in this presentation
- “An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152”. Patxi Xabier Aristimuño, Xabier Lazkano, Andres Sela, Rosa Basagoiti, Pedro Jose Arrazola. Our collegue Patxi Aristimuño of Mondragon University presented part of their work to predict cutting forces with any kind of tool geometry in the framework of the development of MC-Virtual.
- “In-process tool wear prediction system based on machine learning techniques and force analysis”. Amine Gouarir, Svetan Ratchev, Giovanna Martínez-Arellano, German Terrazas, Panorios Benardos. Giovanna Martínez-Arellano from the University of Nothingham presented the development performed in MC-Bridge to try to monitor tool wear based on the measurement of vibration and cutting force values.
- “Milling stability for slowly varying parameters” Zoltan Dombovari, Jokin Munoa, Rachel Kuske, Gabor Stepan. Work related to the collaboration between Siren and MC-Suite. MC-Suite proposed a real problem and Siren proposed a way to solve the problem mathematically.
These articles are going to be published in Golden open access in Procedia CIRP.
Zoltan Dombovaria, Jokin Munoa, Rachel Kuskec, Gabor Stepana
In order to predict the quality and the stability properties of milling processes, the relevant dynamics reduced to the cutting edges needs to be known. However, the dynamics varies through the workspace along the tool path during a given machining operation. This is the case for large heavy duty milling operations, where the main source of the relevant dynamics is related to the otherwise slowly varying machine structure rather than to the fairly steady milling tool dynamics. The effect of slowly varying dynamic parameters is presented for milling stability when the cutting process takes place in a region of the work space where the steady-state cutting would change from stable to unstable. After the separation of the slow and fast time scales, the governing non-autonomous delay differential equation is frozen in slow-time in order to determine the time- periodic stationary cutting solution of the milling operation for different parameters. The loss of stability is predicted from the correction to the time-periodic frozen time solution, for which we obtained non-autonomous equation for the accumulated growth over the slow-time. The growth shows loss of stability with a shift on the parameters compared to the static parameter solution.
IDEKO, Elgoibar and BME, Budapest
Paper at the 8th CIRP Conference on High Performance Cutting