A Study on PVD PZT and Sc <sub>0.2</sub> Al <sub>0.8</sub> N PMUTS in Series and Parallel Connection for Optimizing Acoustic Performance

This work presents an experimental comparative analysis of acoustic performance for series and parallel connected piezoelectric micromachined ultrasonic transducers (PMUTs) designed and fabricated in physical vapor deposition (PVD) lead zirconate titanate (PZT) and 20% scandium (Sc)-doped aluminum nitride (AlN). The aim of this research is to provide insights for optimizing PMUT array design by the choice of electrical connections in relation to material selection. In parallel connection, the current generated by PMUTs is merged and the output impedance of the device becomes lower than the output impedance of single PMUT. In series connection, the output impedance and the voltage output of PMUTs increase with the number of series connections. From the experimental results of a PMUT array with 16-membranes (each membrane represents single PMUT element), series connection shows better receive (RX) sensitivity for PZT with 4.6 mV/ Pa as compared to 2.05 mV/Pa for parallel connection, while ScAlN fared better in parallel connection with 46 mV/Pa as compared to 36 mV/Pa for series connection which are closely matched to simulated values.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10793916
Citations
2
Primary Topic
Engineering Applied Research
Type
article
Field-Weighted Citation Impact
0.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on PVD PZT and Sc 0.2 Al 0.8 N PMUTS in Series and Parallel Connection for Optimizing Acoustic Performance

Alberto Leotti, Jin Jia, Sagnik Ghosh, Prakasha Ramegowda et al.
2 citations
Engineering Applied Research
0.52
article

A Study on PVD PZT and Sc 0.2 Al 0.8 N PMUTS in Series and Parallel Connection for Optimizing Acoustic Performance

Alberto Leotti, Jin Jia, Sagnik Ghosh, Prakasha Ramegowda, Alessandro Stuart Savoia, Peter Hyun Kee Chang, Jihang Liu, David Sze Wai Choong, Duan Jian Goh, Daniel Ssu-Han Chen, Mantalena Sarafianou, Joshua E.-Y. Lee, Yul Koh, Srinivas Merugu, Domenico Giusti, Qing Xin Zhang, Luigi Baretta
article en
2 citations

Abstract

This work presents an experimental comparative analysis of acoustic performance for series and parallel connected piezoelectric micromachined ultrasonic transducers (PMUTs) designed and fabricated in physical vapor deposition (PVD) lead zirconate titanate (PZT) and 20% scandium (Sc)-doped aluminum nitride (AlN). The aim of this research is to provide insights for optimizing PMUT array design by the choice of electrical connections in relation to material selection. In parallel connection, the current generated by PMUTs is merged and the output impedance of the device becomes lower than the output impedance of single PMUT. In series connection, the output impedance and the voltage output of PMUTs increase with the number of series connections. From the experimental results of a PMUT array with 16-membranes (each membrane represents single PMUT element), series connection shows better receive (RX) sensitivity for PZT with 4.6 mV/ Pa as compared to 2.05 mV/Pa for parallel connection, while ScAlN fared better in parallel connection with 46 mV/Pa as compared to 36 mV/Pa for series connection which are closely matched to simulated values.

Agency for Science, Technology and Research (SG), Roma Tre University (IT), Institute of Microelectronics (SG), STMicroelectronics (Singapore) (SG), STMicroelectronics (Italy) (IT)
Openalex Percentile: Top 34%
Engineering Applied Research
0.52
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.