Performance Optimization of Thin Film Micro-Patterned Piezoresistive Low Pressure Sensor

An array of micro-structured piezoresistive pressure sensors often becomes suitable for low-pressure environmental applications. In this work, we studied two different thin film arrays of triangular and pentagonal structures with different piezoresistive materials and structural configurations. Sensor parameters, such as Von Mises stress, resistance variation and linearity, etc., were evaluated using finite element method. The 0.5 µm height of the triangular structure achieves a higher sensitivity of 10.52 and thus shows the improved design of MEMS (Micro Electro Mechanical System) based piezoresistive pressure sensor. Different piezoresistor configurations also simulated using COMSOL Multiphysics software to obtain the optimal sensing outputs. We observed the best variation in resistance with the triangular and pentagonal array structures having a low-pressure range of 1 Pa to 10 Pa. The maximum deformation of 0.064 µm and 0.052 µm are also determined for both triangular and pentagonal array structures of 0.5 µm in height, respectively. The simulation results show that proper selection of the piezoresistor geometrical structure, shape, and dimensions allows possibilities to improve the sensor sensitivity for low-pressure applications.

Authors

Institutions

Publication Details

Published
2024-11-30
DOI
https://doi.org/10.1109/edkcon62339.2024.10870804
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance Optimization of Thin Film Micro-Patterned Piezoresistive Low Pressure Sensor

Santanu Maity, Mrinal Kanti Naskar, Rathindra Nath Biswas, S M Sohel Rana
Advanced Sensor Technologies Research
article

Performance Optimization of Thin Film Micro-Patterned Piezoresistive Low Pressure Sensor

Santanu Maity, Mrinal Kanti Naskar, Rathindra Nath Biswas, S M Sohel Rana
article en

Abstract

An array of micro-structured piezoresistive pressure sensors often becomes suitable for low-pressure environmental applications. In this work, we studied two different thin film arrays of triangular and pentagonal structures with different piezoresistive materials and structural configurations. Sensor parameters, such as Von Mises stress, resistance variation and linearity, etc., were evaluated using finite element method. The 0.5 µm height of the triangular structure achieves a higher sensitivity of 10.52 and thus shows the improved design of MEMS (Micro Electro Mechanical System) based piezoresistive pressure sensor. Different piezoresistor configurations also simulated using COMSOL Multiphysics software to obtain the optimal sensing outputs. We observed the best variation in resistance with the triangular and pentagonal array structures having a low-pressure range of 1 Pa to 10 Pa. The maximum deformation of 0.064 µm and 0.052 µm are also determined for both triangular and pentagonal array structures of 0.5 µm in height, respectively. The simulation results show that proper selection of the piezoresistor geometrical structure, shape, and dimensions allows possibilities to improve the sensor sensitivity for low-pressure applications.

Jadavpur University (IN), Indian Institute of Engineering Science and Technology, Shibpur (IN)
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced Sensor Technologies Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Performance Optimization of Thin Film Micro-Patterned Piezoresistive Low Pressure Sensor — Santanu Maity, Mrinal Kanti Naskar, et al. · (2024) | TGRS Research Map | TGRS