• DocumentCode
    626255
  • Title

    Validation of Finite Element Model (FEM) of Coplanar Electrodes Capacitive Sensing Using Microfluidic-based Sensor Device

  • Author

    Rahman, Mohamad Faizal Abd ; Nawi, Mohd Norzaidi Mat ; Manaf, Asrulnizam Abd ; Arshad, Mohd Rizal ; Sidek, Othman

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal, Malaysia
  • fYear
    2013
  • fDate
    5-7 June 2013
  • Firstpage
    409
  • Lastpage
    413
  • Abstract
    This work aims to validate the 2D Finite Element Model (FEM) for estimating the capacitance changes across a microchannel with coplanar electrodes configuration employed. Such electrodes configuration becomes popular in microfluidic-based application where the sensing activity occurs inside a microchannel. ANSYS 12.1 is used to built the 2D model of the structure. The work begin by building the FEM model to find the capacitance per unit length, C/l or C* of different combination of coplanar structures. The variation yields an error of less than 17% as compared to analytical equation with both models having the same trend of capacitance changes. Then, based on the theory of capacitance in parallel, both models are further verified experimentally using a fabricated sensor device that employs a selected structure combination. Comparing the FEM and analytical model to the experimental measurement, the result shows the error of 5% and 24% for both models, respectively.
  • Keywords
    capacitive sensors; electrodes; estimation theory; finite element analysis; microchannel flow; microfabrication; microsensors; 2D finite element model; ANSYS 12.1; FEM; capacitance estimation theory; coplanar electrode capacitive sensing; experimental measurement; microchannel; microfabrication; microfluidic-based sensor device; Analytical models; Capacitance; Electrodes; Finite element analysis; Mathematical model; Microchannel; Sensors; Capacitive sensing; microfluidic; coplanar electrodes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4799-0587-4
  • Type

    conf

  • DOI
    10.1109/CICSYN.2013.77
  • Filename
    6571400