CUTTING DYNAMICS IDENTIFICATION BY DYNAMIC DATA SYSTEM (DDS) MODELING APPROACH.

T. Y. Ahn*, K. F. Eman, S. M. Wu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The dynamics of the cutting process have been conventionally characterized in terms of the Dynamic Cutting Force Coefficients (DCFC) which represent its transfer characteristics at discrete frequencies. However, this approach fails to obtain the transfer function of the process in closed analytical form. Anticipating the stochastic nature of the cutting process and the double modulation principle, a two-input one-output multivariate system was postulated for the dynamic cutting process identification model. The Dynamic Data System (DDS) methodology was used to formulate and characterize the dynamic cutting process using Modified Autoregressive Moving Average Vector (MARMAV) models.

Original languageEnglish (US)
JournalAmerican Society of Mechanical Engineers (Paper)
StatePublished - 1984

ASJC Scopus subject areas

  • Mechanical Engineering

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