• DocumentCode
    246829
  • Title

    Measurement of paint and coating thickness on metallic plates using smart near field microwave sensor

  • Author

    Ali, Asem M. ; Ramahi, Omar M. ; Boybay, Muhammed S.

  • Author_Institution
    Dept. of Comput. Eng., Antalya Int. Univ., Antalya, Turkey
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    916
  • Lastpage
    917
  • Abstract
    A smart microwave sensor for non-destructive thickness measurement of paint and dielectric coating of metallic plates is presented. The sensor is based on low cost microstrip transmission line with a Complementary Split-Ring Resonator (CSRR) in the ground plan. The CSRR sensor experiences a frequency shift proportional to the thickness of a dielectric layer backed with metallic plate as described. Ideally, one would like the frequency shift to be related directly to a thickness reading (usually in mm or um). An artificial intelligent regression model was developed to automate the post processing of the measurements and achieve actual thickness data. This work presents simulation, measurements, and data post-processing of CSRR sensor operating on metallic plate with different coating thicknesses. The post-processing was performed using Support Victor Regression (SVR) algorithm on the transmission coefficients.
  • Keywords
    artificial intelligence; intelligent sensors; microstrip lines; microwave detectors; nondestructive testing; regression analysis; support vector machines; thickness measurement; CSRR sensor; SVR algorithm; artificial intelligent regression model; coating thickness measurement; complementary split-ring resonator; data post-processing; dielectric layer; metallic plate dielectric coating; metallic plate paint; microstrip transmission line; non-destructive thickness measurement; smart near field microwave sensor; support victor regression algorithm; transmission coefficients; Coatings; Mathematical model; Microwave measurement; Testing; Thickness measurement; Training; Transmission line measurements; Non-destructive testing; artificial intelligent regression; complementary split-ring resonator (CSRR); measurement; microwave sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
  • Conference_Location
    Memphis, TN
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4799-3538-3
  • Type

    conf

  • DOI
    10.1109/APS.2014.6904786
  • Filename
    6904786