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STABILITY PREDICTION OF TITANIUM MILLING WITH DATA DRIVEN RECONSTRUCTION OF PHASE-SPACE |
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| Authors: | Afshin Koohestani John Mo Sam Yang |
| Affiliation: | 1. School of Aerospace Mechanical and Manufacturing Engineering , RMIT University , Victoria , Australia afshin.koohestani@student.rmit.edu.au;3. School of Aerospace Mechanical and Manufacturing Engineering , RMIT University , Victoria , Australia;4. Material Science and Engineering , CSIRO , Victoria , Australia |
| Abstract: | Significant research effort has been carried out in the detection of chatter, which is one of the main barriers against titanium milling. State-of-the-art techniques are unable to satisfy requirements of industry in terms of in-process chatter detection. The present study reports the use of sensor-signal driven reconstructed phase space attractors combined with image correlation as a solution of chatter prediction during milling of titanium in industry. The method uses Poincaré sections of reconstructed phase space attractor as patterns to identify the onset of chatter in the apparently random behavior of vibrations in the milling process. Image correlation of Poincaré sections indicates the onset of chatter in the milling process. |
| Keywords: | chatter image correlation milling phase space reconstruction titanium |