Bediz, Bekir and Özdoğanlar, O. Burak (2018) Predicting the rotating tool-tip dynamics in mechanical micromachining using modal testing. In: International Congress on Machining (UTIS 2018), Antalya, Turkey
PDF
Bediz_-_2018_-_Predicting_the_Rotating_Tool-Tip_Dynamics_in_Mechanical_Micromachining_using_Modal_Testing.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
Bediz_-_2018_-_Predicting_the_Rotating_Tool-Tip_Dynamics_in_Mechanical_Micromachining_using_Modal_Testing.pdf
Restricted to Registered users only
Download (1MB) | Request a copy
Abstract
This study presents an experimental methodology to predict the tool-tip dynamics including rotational effects in micromachining. In this approach, the ultra-high-speed spindle dynamics (i.e. the FRF matrix at the spindle tip) at different spindle speeds are obtained experimentally. Since the modal test are performed on a rotating tool, measured response includes unwanted error motions as well as the dynamic response to the excitation. Therefore, a frequency domain filtering algorithm is designed to isolate the dynamic response. Then, the experimentally obtained spindle dynamics are coupled with the tool dynamics calculated using the spectral-Tchebychev technique to predict the tool-tip dynamics. The developed approach/methodology is demonstrated on a micro machine tool incorporating miniature ultra-high-speed spindles (with air bearings), and a tungsten carbide tool blank. The predicted tool-tip dynamics are validated by direct measurements; it is concluded that the presented unified modeling approach can be used to accurately determine the tool-tip dynamics.
Item Type: | Papers in Conference Proceedings |
---|---|
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ170-179 Mechanics applied to machinery. Dynamics |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics Faculty of Engineering and Natural Sciences |
Depositing User: | Bekir Bediz |
Date Deposited: | 30 Nov 2018 11:52 |
Last Modified: | 26 Apr 2022 09:31 |
URI: | https://research.sabanciuniv.edu/id/eprint/36647 |