Modeling and prediction of cutting noise in the face-milling process

Karthikeyan Sampath, Shiv Gopal Kapoor, Richard E. Devor

Research output: Contribution to journalArticlepeer-review

Abstract

A cutting noise prediction model is developed to relate the cutter-workpiece vibrations to the sound pressure field around the cutter in the high-speed face-milling process. The cutter-workpiece vibration data are obtained from a dynamic mechanistic face-milling force simulation model. The total noise predicted, based on both cutting noise and aerodynamic noise prediction, compares well to the noise observed experimentally in the face-milling process. Using the model, the effects of various machining and cutter geometry parameters are studied. It is shown that cutter geometry, machine dynamics, and cutting speed all play important roles in determining overall noise in face milling.

Original languageEnglish (US)
Pages (from-to)527-530
Number of pages4
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume129
Issue number3
DOIs
StatePublished - Jun 1 2007

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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