Milling stability interrogation by subharmonic sampling

Andrew Honeycutt, Tony L. Schmitz

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

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.

Original languageEnglish
Article number041009
JournalJournal of Manufacturing Science and Engineering
Volume139
Issue number4
DOIs
StatePublished - Apr 1 2017
Externally publishedYes

Funding

This material was based on the work supported by the National Science Foundation under Grant No. CMMI-1561221.

Keywords

  • Bifurcation
  • Machining
  • Periodic
  • Sampling
  • Stability

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