• DocumentCode
    3124061
  • Title

    Phenomena based dynamic model of carbon black-polymer composite sensors

  • Author

    Yates, James W T ; Chappell, Michael J. ; Gardner, Julian W.

  • Author_Institution
    Sch. of Eng., Univ. of Warwick, Coventry, UK
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    1253
  • Abstract
    A novel physically based mathematical model of carbon black-polymer sensor-analyte uptake and response is proposed. The advantage of this modelling approach is that the environmental dependencies of sensor responses may be investigated. It also permits the chemical kinetics of the sensors to be separated from the physical aspects of the sensors. Data were collected under varying ambient environmental conditions. Three different polymers were tested. A total of 336 such experiments were performed over a 2-week period. The model was validated with respect to these data, and was fitted to two vapour responses in parallel, showing its applicability to ´real world systems´. Evident temperature dependence of the parameters were judged to be most important outcome of this study.
  • Keywords
    carbon; electrochemical sensors; environmental degradation; filled polymers; parameter estimation; particle reinforced composites; reaction kinetics; C; ambient environmental conditions; carbon black-polymer composite sensors; carbon black-polymer sensor-analyte uptake; chemical kinetics; model validation; parameter estimation; phenomena based dynamic model; physically based mathematical model; polymer testing; real world systems; sensor environmental dependencies; sensor responses; sensor-analyte response; temperature dependence; vapour responses; Absorption; Chemical sensors; Conductivity; Kinetic theory; Mathematical model; Polymers; Sensor phenomena and characterization; Solvents; Temperature sensors; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2004. Proceedings of IEEE
  • Print_ISBN
    0-7803-8692-2
  • Type

    conf

  • DOI
    10.1109/ICSENS.2004.1426408
  • Filename
    1426408