The dynamic characteristics analysis of the vertical milling-turning machining center

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The dynamic modeling and the dynamic characteristics analysis of the vertical milling-turning machining center is studied in this paper. Firstly, Finite Element Method (FEM) model of the machining center is established, and the modal of the machining center is obtained by ANSYS software. Secondly, the theory of the modal testing is illustrated, and the modal parameters, including both natural frequency and model of vibration of the machining center are got by using the hammer-hitting method. The result of the modal testing is analyzed and compared with the finite element analysis results. Also the two results offer a theoretical basis to the subsequent dynamic characteristics analysis and dynamic optimization design.

Original languageEnglish
Title of host publicationMechanism and Machine Science - Proceedings of ASIAN MMS 2016 and CCMMS 2016
EditorsXianmin Zhang, Yanjiang Huang, Nianfeng Wang
PublisherSpringer Verlag
Pages1143-1152
Number of pages10
ISBN (Print)9789811028748
DOIs
StatePublished - 2017
Event4th IFToMM Asian Conference on Mechanism and Machine Science, ASIAN MMS 2016 and International Conference on Mechanism and Machine Science of China, CCMMS 2016 - Guangzhou, China
Duration: 15 Dec 201617 Dec 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume408
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th IFToMM Asian Conference on Mechanism and Machine Science, ASIAN MMS 2016 and International Conference on Mechanism and Machine Science of China, CCMMS 2016
Country/TerritoryChina
CityGuangzhou
Period15/12/1617/12/16

Keywords

  • Dynamic characteristics analysis
  • FEM
  • Modal analysis
  • Vertical milling-turning machining center

Fingerprint

Dive into the research topics of 'The dynamic characteristics analysis of the vertical milling-turning machining center'. Together they form a unique fingerprint.

Cite this