Vibration Analysis and Stability Prediction of CNC end-milling
| dc.contributor.advisor | Mann, Brian P | |
| dc.contributor.author | Shah, Neel Dipenkumar | |
| dc.date.accessioned | 2018-05-31T21:18:51Z | |
| dc.date.available | 2019-05-15T08:17:13Z | |
| dc.date.issued | 2018 | |
| dc.department | Mechanical Engineering and Materials Science | |
| dc.description.abstract | This Master's Thesis investigates the process of stability prediction for milling process. Stability prediction for a given tool-workpiece combination can maximize material removal rate while maintaining vibrational stability. Milling is modelled as a time-delayed system with single degree of freedom. Temporal Finite Element Analysis & Spectral Element Analysis algorithms have been prepared to solve those. TFEA algorithm is then customized for milling process to prepare stability charts for a given system. The algorithm is verified by experimental means. A compliant system is designed and manufactured for cutting tests. Impact modal tests are performed to extract modal parameters, which are used to produce stability charts. Milling test passes are done on the workpiece for various combinations of spindle speeds and depths of cut. Real-time workpiece displacement and spindle speed data is used to identify stability of the cuts. These are then analyzed and compared with stability predictions. The findings of this work indicate considerable agreement of theory with experiment. TFEA algorithm was able to predict stability accurately for low spindle speeds. They also suggest the need to consider dynamics of the cutting tool and to model a second degree of freedom for more accurate predictions. | |
| dc.identifier.uri | ||
| dc.subject | Mechanical engineering | |
| dc.subject | Milling | |
| dc.subject | Stability Prediction | |
| dc.subject | TFEA | |
| dc.title | Vibration Analysis and Stability Prediction of CNC end-milling | |
| dc.type | Master's thesis | |
| duke.embargo.months | 11 |