• DocumentCode
    1784168
  • Title

    Dynamic analysis and experimental validation of vibration sensing for machining thin-walled component

  • Author

    Jiajie Guo ; Kok-Meng Lee ; Wuguang Liu ; Bo Wang

  • Author_Institution
    State Key Lab. of Dig. Manuf. & Equip. Tech., Huazhong Univ. of Sci. & Tech., Wuhan, China
  • fYear
    2014
  • fDate
    8-11 July 2014
  • Firstpage
    512
  • Lastpage
    517
  • Abstract
    Machining complex thin-walled components, such as compressor disks and casings in aircraft engines, is a challenging task because distributed deformation and vibration renders poor precision and quality in final products. However, the harsh working conditions such as cutting fluids hinder workpiece vibration monitoring, not to mention investigation into the vibration principle during cutting. Aiming to decouple and quantify the effects of multiple cutting process parameters on thin-walled part vibration, this paper employs a plate dynamic model for an annular workpiece under constraints emulating those of a two-sided turning machine. Therefore, a boundary value problem is formulated and the solution procedure is presented in details. With modal analysis, the dynamic model is numerically verified with finite element analysis (FEA). Also, an eddy-current sensing approach is provided as a simple yet practical method for vibration measurement. Experiments are carried out to justify the proposed method and validate the stability of eddy-current sensing under the harsh environmental condition.
  • Keywords
    boundary-value problems; finite element analysis; machining chatter; modal analysis; thin wall structures; vibrations; FEA; boundary value problem; cutting fluids; dynamic model; eddy-current sensing approach; eddy-current sensing stability; finite element analysis; modal analysis; multiple cutting process parameters; thin-walled component machining; thin-walled part vibration; two-sided turning machine; vibration measurement; vibration sensing; workpiece vibration monitoring; Monitoring; Numerical models; Sensors; Shape; Turning; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2014 IEEE/ASME International Conference on
  • Conference_Location
    Besacon
  • Type

    conf

  • DOI
    10.1109/AIM.2014.6878129
  • Filename
    6878129