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Theoretical and Experimental Analysis of Residual Stress Mitigation in Piezoresistive Silicon Nitride Cantilever

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Sensors and Microsystems (AISEM 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 457))

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Abstract

In this work, we reports the design and technology optimization with residual stress balancing of piezo resistive silicon nitride micro cantilever stress sensors, which can be used for surface stress measurements in the liquid medium. In this context, the residual stresses of the thin films in a 600 nm thick cantilever stack (Si3N4/Poly Si/Si3N4/Au) were evaluated by curvature measurement on a test wafer to refine the balancing of the structure. In particular, the thickness of bottom silicon nitride was optimized to 300 nm to achieve the best trade-off between stress compensation and sensitivity. The cantilever bending curvature angle was calculated to be 45° and 19° with and without Au, as a top immobilization layer for the micro cantilever device. Further, finite element analysis results shows that for the low length/width ratio of cantilever, the stress sensitivity was better as compared to high aspect ratio.

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Acknowledgements

The authors wish to acknowledge the support provided by ITPAR Programme (India-Trento Programme for Advanced Research); the collaborative research programme between the Department of Science and Technology (DST) of the Indian government, the Autonomous Province of Trento (through the Trentino Cultural Institute, now Bruno Kessler Foundation) and the University of Trento for their financial support for this project. We extend our acknowledgements to the Centre for Materials and Microsystems (CMM), Fondazione Bruno Kessler, Italy for using the design and micro fabrication facility of MEMS cantilever devices.

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Correspondence to A. Adami .

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Kandpal, M., Adami, A., Giacomozzi, F., Zen, M., Rao, V.R., Lorenzelli, L. (2018). Theoretical and Experimental Analysis of Residual Stress Mitigation in Piezoresistive Silicon Nitride Cantilever. In: Leone, A., Forleo, A., Francioso, L., Capone, S., Siciliano, P., Di Natale, C. (eds) Sensors and Microsystems. AISEM 2017. Lecture Notes in Electrical Engineering, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-319-66802-4_30

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  • DOI: https://doi.org/10.1007/978-3-319-66802-4_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66801-7

  • Online ISBN: 978-3-319-66802-4

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