Journal
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
Volume 139, Issue 4, Pages -Publisher
ASME
DOI: 10.1115/1.4034894
Keywords
machining; stability; bifurcation; periodic; sampling
Funding
- National Science Foundation [CMMI-1561221]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1561221] Funding Source: National Science Foundation
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This paper describes the use of subharmonic sampling to distinguish between different instability types in milling. It is demonstrated that sampling time-domain milling signals at integer multiples of the tooth period enables secondary Hopf and period-n bifurcations to be automatically differentiated. A numerical metric is applied, where the normalized sum of the absolute values of the differences between successively sampled points is used to distinguish between the potential bifurcation types. A new stability map that individually identifies stable and individual bifurcation zones is presented. The map is constructed using time-domain simulation and the new subharmonic sampling metric.
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