• DocumentCode
    3777366
  • Title

    Intelligent prediction of jet shot peening surface roughness

  • Author

    Ruihong Wang; Jie Xu; Guangyi Li

  • Author_Institution
    College of Computer and Information Engineering, Heilongjiang University of science and technology, Harbin, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    786
  • Lastpage
    789
  • Abstract
    In order to obtain an effective prediction method about premixed water jet shot peening surface roughness, 2A11 aluminum alloy which always exist in project is used as the experimental material. When we do jet peening strengthen experiment, the pressure, nozzle scanning speed and the target distance are as the influencing parameters, to get experimental data about the influence of parameters on the surface roughness of shot peening. On the basis of experimental data, the wavelet packet method is used to establish the prediction model of shot peening surface roughness. The application of model predicted that wavelet packet model is feasible, reliable, high precision, and has great practical value.
  • Keywords
    "Rough surfaces","Surface roughness","Wavelet packets","Surface waves","Surface treatment","Predictive models"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490859
  • Filename
    7490859