Early prediction of impending end-milling tool failure using acceleration signals

John Timothy Roth, Sudhakar M. Pandit

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

1 Scopus citations

Abstract

A technique capable of monitoring an end-milling tool using acceleration signals is developed based on the Data Dependent Systems methodology. The techniques does not require spindle encoding, tooth pass correlations, or other means of relating the sampling frequency to the machining frequencies. The energy modes of the first and second multiples of the tooth pass frequency are shown to be sensitive to the minute changes that occur as the tool wears and approaches failure. The abilities of the technique are demonstrated using three end-milling life tests. Early warning of impending failure is provided in all three of the life tests.

Original languageEnglish (US)
Title of host publicationTechnical Paper - Society of Manufacturing Engineers. MR
PublisherSME
Pages1-6
Number of pages6
StatePublished - 1998
EventProceedings of the 1998 XXVI NAMRC Conference - Atlanta, GA, USA
Duration: May 19 1998May 22 1998

Other

OtherProceedings of the 1998 XXVI NAMRC Conference
CityAtlanta, GA, USA
Period5/19/985/22/98

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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