Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor

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

doi:10.1109/APSCON56343.2023.10101230

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 proceeding › Conference contribution › peer-review

Abstract

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 language	English (US)
Title of host publication	APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665461634
DOIs	https://doi.org/10.1109/APSCON56343.2023.10101230
State	Published - 2023
Event	2023 IEEE Applied Sensing Conference, APSCON 2023 - Bengaluru, India Duration: Jan 23 2023 → Jan 25 2023

Publication series

Name	APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

Conference

Conference	2023 IEEE Applied Sensing Conference, APSCON 2023
Country/Territory	India
City	Bengaluru
Period	01/23/23 → 01/25/23

Keywords

Capacitive sensors
COMSOL
FEM simulation
NiZnFeO nanoparticles
PDMS composite
Pressure sensors

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Instrumentation

Access to Document

10.1109/APSCON56343.2023.10101230

Cite this

Abdullah, S. H., Faller, L. M., Vijjapu, M. T., Kosel, J., & Khan, S. (2023). Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor. In APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSCON56343.2023.10101230

@inproceedings{3e006eff85a147c0ba7d43a034a56835,

title = "Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor",

abstract = "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.",

keywords = "Capacitive sensors, COMSOL, FEM simulation, NiZnFeO nanoparticles, PDMS composite, Pressure sensors",

author = "Abdullah, {Syed Hassaan} and Faller, {Lisa Marie} and Vijjapu, {Mani Teja} and Jurgen Kosel and Sherjeel Khan",

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: {\textcopyright} 2023 IEEE.; 2023 IEEE Applied Sensing Conference, APSCON 2023 ; Conference date: 23-01-2023 Through 25-01-2023",

year = "2023",

doi = "10.1109/APSCON56343.2023.10101230",

language = "English (US)",

series = "APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Abdullah, SH, Faller, LM, Vijjapu, MT, Kosel, J & Khan, S 2023, Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor. in APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Applied Sensing Conference, APSCON 2023, Bengaluru, India, 01/23/23. https://doi.org/10.1109/APSCON56343.2023.10101230

Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor. / Abdullah, Syed Hassaan; Faller, Lisa Marie; Vijjapu, Mani Teja et al.
APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor

AU - Abdullah, Syed Hassaan

AU - Faller, Lisa Marie

AU - Vijjapu, Mani Teja

AU - Kosel, Jurgen

AU - Khan, Sherjeel

N1 - 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.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Capacitive sensors

KW - COMSOL

KW - FEM simulation

KW - NiZnFeO nanoparticles

KW - PDMS composite

KW - Pressure sensors

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U2 - 10.1109/APSCON56343.2023.10101230

DO - 10.1109/APSCON56343.2023.10101230

M3 - Conference contribution

AN - SCOPUS:85157994629

T3 - APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

BT - APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Applied Sensing Conference, APSCON 2023

Y2 - 23 January 2023 through 25 January 2023

ER -

Abdullah SH, Faller LM, Vijjapu MT, Kosel J, Khan S. Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor. In APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (APSCON 2023 - IEEE Applied Sensing Conference, Symposium Proceedings). doi: 10.1109/APSCON56343.2023.10101230

Modelling of a Highly Sensitive Polymer Composite Tactile Pressure Sensor

Abstract

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Keywords

ASJC Scopus subject areas

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