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Estimation for bearing preload of machine tool spindle based on vibration signal

  • Tao Xu
  • , Guanghua Xu
  • , Qing Zhang
  • , Cheng Hua
  • , Qianqian He
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

A significant source of noise and vibration in high speed machine tool spindle is bearing induced vibration, which is caused by geometrical characteristics and interactions between rolling members with surface irregularities. In this paper, analytical approach was proposed to calculate the bearing internal load distribution of spindle, with consideration of the operating conditions. The influences of operating conditions to internal load distribution, contact angles were analyzed. Furthermore, the estimation of power spectral density (PSD) method was used to analyze determination of bearing frequencies. The bearing preload of machine tool spindle was estimated according to the change of ball bearing frequencies. Experiments were carried out in a spindle bearing test rig to verify the validity of the presented analytical method. The method described in this paper can achieve the estimation for bearing preload of machine tool spindle.

Original languageEnglish
Title of host publicationAdvanced Technology for Manufacturing Systems and Industry
Pages1251-1257
Number of pages7
DOIs
StatePublished - 2012
Event2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012 - Qingdao, China
Duration: 8 Sep 2012 → 9 Sep 2012

Publication series

NameApplied Mechanics and Materials
Volume236-237
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012
Country/TerritoryChina
CityQingdao
Period8/09/12 → 9/09/12

Keywords

  • Bearing preload
  • Machine tool spindle
  • Power spectral density
  • Vibration signal

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