• DocumentCode
    2295581
  • Title

    Research on Online Detecting Method for Cam Based on Quality Control

  • Author

    Zhou Chuande ; He Zelong

  • Author_Institution
    Coll. of Mech. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    Online product quality detection is an effective process of product quality control. It can be fused into the machine tool by rebuilding and updating the machine tool. It can also be realized by changing the process of the product line, feeding back the testing results to the machine tool or the operating persons and applying it to the current machining system or to grade the products. The implement of parameter comparison of the processed cam and the standard cam based on wavelet filtering, cubic spline interpolation, long signal correlation is proposed. The theory and methodology of realizing high precision measurement with cheap but good in anti-shock and anti-pollution sensors is stressed, especially how to get rid of the risk caused by poor surface quality and local deformation, reach higher precision and achieve the purpose of quality control.
  • Keywords
    cams (mechanical); interpolation; nondestructive testing; quality control; sensors; splines (mathematics); antipollution sensors; antishock sensors; cam; cubic spline interpolation; long signal correlation; machine tool; online product quality detection; quality control; wavelet filtering; Camshafts; Engines; Error correction; Machine tools; Measurement errors; Measurement standards; Motorcycles; Quality control; Shape measurement; Stress measurement; Correlation; Online Detecting; Quality Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.49
  • Filename
    5459591