• DocumentCode
    189597
  • Title

    A geometry dependent predictive FEM model of a high temperature closed membrane SOI CMOS MEMS thermal conductivity sensor

  • Author

    Sarfraz, Sohab ; Kumar, R. Vasant ; Udrea, Florin ; Ali, S.Z.

  • Author_Institution
    Dept. of Mater. Sci. & Metall., Univ. of Cambridge, Cambridge, UK
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    606
  • Lastpage
    609
  • Abstract
    This paper presents an experimentally verified geometry dependent predictive FEM model of a high temperature closed membrane thermal conductivity sensor. The sensor was developed using SOI CMOS MEMS technology. The FEM model presents a systematic approach to design thermal conductivity sensors by understanding heat transfer mechanisms between the sensor and the analyte environment. It also discusses how response time and sensor sensitivity are influenced by geometry of the sensor. The sensor was fabricated at a commercial foundry using a 1 μm process and measures only 1×1 mm2. The model establishes that a tradeoff is required between power consumption, response time and sensitivity based on the end user application.
  • Keywords
    CMOS integrated circuits; elemental semiconductors; finite element analysis; geometry; heat transfer; membranes; microfabrication; microsensors; silicon; silicon-on-insulator; temperature sensors; thermal conductivity measurement; Si; geometry dependent predictive FEM model; heat transfer mechanism; high temperature closed membrane SOI CMOS MEMS thermal conductivity sensor; power consumption; CMOS integrated circuits; Conductivity; Finite element analysis; Heat transfer; Temperature sensors; CMOS; FEM model; MEMS; high temperature; thermal conductivity sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985071
  • Filename
    6985071