On the detection of critical frequencies of a tool machine

Peter Szolgay, Tamas Szabo

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

An approximate solution is given for determining the ranges of allowed frequency of a mechanical model of a tool machine. The proposed method is based on the simulation of a measurement process of a real structure. The large computing power of the Cellular Neural Networks is used here to compute the transient response of a mechanical vibrating system.

Original languageEnglish
Pages357-362
Number of pages6
Publication statusPublished - Dec 1 1996
EventProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96
CitySeville, Spain
Period6/24/966/26/96

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ASJC Scopus subject areas

  • Software

Cite this

Szolgay, P., & Szabo, T. (1996). On the detection of critical frequencies of a tool machine. 357-362. Paper presented at Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96, Seville, Spain, .