Position-dependent FRF identification without force measurement in milling process
Author:
Funder
Tübitak
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-11925-w.pdf
Reference24 articles.
1. Allemang RJ, Brown DL (2020) Experimental modal analysis methods. In: Allemang R, Avitabile P (eds) Handbook of experimental structural dynamics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6503-8_36-1
2. Bąk PA, Jemielniak K (2016) Automatic experimental modal analysis of milling machine tool spindles. Proc Inst Mech Eng B J Eng Manuf 230(9):1673–1683. https://doi.org/10.1177/0954405415623485
3. Bediz B, Gozen B, Korkmaz E, Ozdoganlar O (2014) Dynamics of ultra-high-speed (UHS) spindles used for micromachining. Int J Mach Tools Manuf 87:27–38. https://doi.org/10.1016/j.ijmachtools.2014.07.007
4. Li B, Cai H, Mao X, Huang J, Luo B (2013) Estimation of CNC machine–tool dynamic parameters based on random cutting excitation through operational modal analysis. Int J Mach Tools Manuf 71:26–40, ISSN 0890-6955. https://doi.org/10.1016/j.ijmachtools.2013.04.001
5. Li B, Luo B, Mao X, Cai H, Peng F, Liu H (2013) A new approach to identifying the dynamic behavior of CNC machine tools with respect to different worktable feed speeds. Int J Mach Tools Manuf 72:73–84, ISSN 0890-6955. https://doi.org/10.1016/j.ijmachtools.2013.06.004
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