Material Selection and Performance Analysis of Organic MEMS Cantilever Force Sensors with Integrated Piezoresistive Readout

  • Sadanand Singh Choudhary
  • , Ribu Mathew*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we investigate the performance of micro-electro-mechanical systems (MEMS) technology based organic cantilever force sensors with integrated piezoresistive readout. The study has been carried out in two phases: Phase-I involves material selection of both the organic cantilever platform and the piezoresistor to maximize the electrical sensitivity of the sensor. Here, the piezoresistor Gauge factor (G) to Young’s modulus (Y) of the cantilever platform material ratio (G/E) is considered as the performance evaluation metric. Subsequently, in phase-II, for the chosen material set, numerical investigation is carried out. Finite element method (FEM) based computer aided design (CAD) software is utilized for numerical simulations. Here, we compare two different organic materials (paper and Polydimethylsiloxane- PDMS) based sensors using simulation software. For comparison of cantilever force sensor performance realized with paper and PDMS, for both cases, we have considered the same cantilever shape, i.e. triangular with constant area (1200 µm2). Simulations were carried out, to investigate the electro-mechanical response of the sensors. From simulation results, it is found that for the same area and external applied force, the combination of Graphite piezoresistor and PDMS substrate depicts relatively higher mechanical sensitivity and electrical sensitivity than its counterpart sensor.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Signal and Data Processing - ICSDP 2023
EditorsRaghunath K. Shevgaonkar, Debashis Adhikari, Soumitra Keshari Nayak, Febe de Wet
PublisherSpringer Science and Business Media Deutschland GmbH
Pages605-613
Number of pages9
ISBN (Print)9789819795772
DOIs
Publication statusPublished - 2025
Event3rd International Conference on Signal and Data Processing, ICSDP 2023 - Bhopal, India
Duration: 03-11-202304-11-2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1297
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Signal and Data Processing, ICSDP 2023
Country/TerritoryIndia
CityBhopal
Period03-11-2304-11-23

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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