Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor

Syed Hassaan Abdullah*, Lisa Marie Faller, Mani Teja Vijjapu, Jurgen Kosel, Sherjeel Khan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


High sensitivity is one of the desirable characteristics for a tactile pressure sensor, especially in soft robotics and biomedical applications, e.g., prothesis and smart orthosis. We perform a detailed Finite Element Method analysis of a novel tactile sensor. It is comprised of interdigitated electrodes coated with a composite made of Polydimethylsiloxane (PDMS) and nanoparticles. The developed model allows studying the dependence of the sensitivity on the nanoparticle material properties, content, and distribution. The results show that a homogenous distribution of the nanoparticles offers a high sensitivity. However, a methodical placement of the nanoparticles in a certain region of the PDMS results in a further enhancement of the sensitivity. Using COMSOL Multiphysics, expressions for the Limit of Higher Influence (LHI) and Limit of Similar Influence (LSI) for the placement of the nanoparticles are calculated. Placing the nanoparticles within the region from the top of the PDMS layer to the LHI or LSI leads to the highest enhancement of the sensitivity of the tactile sensor.

Original languageEnglish (US)
Title of host publicationAPSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665461634
StatePublished - 2023
Event2023 IEEE Applied Sensing Conference, APSCON 2023 - Bengaluru, India
Duration: Jan 23 2023Jan 25 2023

Publication series

NameAPSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings


Conference2023 IEEE Applied Sensing Conference, APSCON 2023

Bibliographical note

Funding Information:
This work has been jointly supported by the European Regional Development Fund (ERDF) and REACT-EU under the grant agreement KWF-4127 | 35032 | 51423 (ROSE project) as well as by Silicon Austria Labs (SAL), owned by the Republic of Austria, the Styrian Business Promotion Agency (SFG), the federal state of Carinthia, the Upper Austrian Research (UAR), and the Austrian Association for the Electric and Electronics Industry (FEEI).

Publisher Copyright:
© 2023 IEEE.


  • Capacitive sensors
  • FEM simulation
  • NiZnFeO nanoparticles
  • PDMS composite
  • Pressure sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation


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