• DocumentCode
    2192824
  • Title

    Acoustic emission features of material removal during single grit scratching

  • Author

    Opoz, Tahsin Tecelli ; Xun Chen

  • Author_Institution
    Adv. Manuf. Technol. Res. Lab., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2013
  • fDate
    13-14 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Acoustic Emission monitoring can be used to extract the features of material removal mechanism in grinding. It could also be used to predict the process performance which might be helpful to improve the process efficiency and surface quality. This research aims to distinguish the material removal characteristics of the grinding process at micro scale by using Acoustic Emission (AE) energy released due to the alteration of material internal structure during single grit-workpiece interactions. A CBN grit of 40/50 mesh size was used for the single grit scratching tests on the En24T steel. The AE features during scratch test revealed that different stages of material removal - rubbing, ploughing and cutting generate different AE signal characteristics in terms of power intensity, amplitude and frequency. By monitoring of these characteristics to identify the material removal stages during the grinding process can help to improve the process performance.
  • Keywords
    acoustic emission testing; acoustic signal processing; condition monitoring; cutting; feature extraction; grinding; production engineering computing; quality control; AE signal characteristics; CBN grit; acoustic emission energy; acoustic emission monitoring; cutting; feature extraction; grinding; grit-workpiece interactions; material removal mechanism; ploughing; process efficiency improvement; rubbing; single grit scratching; surface quality improvement; Acoustic emission; Materials; Monitoring; Sensors; Steel; Wheels; Acoustic Emission; Grinding; Material removal mechanism; Single grit scratch test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2013 19th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    6662042