Design Optimization of a Corrugated Piezoelectric MEMS Microphone applying Genetic Algorithms

Gabriele Bosetti, Christian Bretthauer, Andreas Bogner, Michael Krenzer, Karolina Gierl, Heinrich Heiss, Gabriele Schrag

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

1 Scopus citations

Abstract

In this work we present an automated design optimization framework based on genetic algorithms to explore and assess the full potential of high-performance piezoelectric MEMS microphones. The novel device concept is based on fully clamped, corrugated aluminum nitride (AlN) membranes with a high number of geometrical degrees of freedom. The key performance parameters are extracted with the help of finite element simulations, while the whole optimization flow is controlled with MATLAB. We show that this method enables a wide search within the parameter space and helps in finding optimal microphone designs with improved performance compared to device variants conceived purely by engineering intuition.

Original languageEnglish
Title of host publication2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350393637
DOIs
StatePublished - 2024
Event25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2024 - Catania, Italy
Duration: 7 Apr 202410 Apr 2024

Publication series

Name2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2024

Conference

Conference25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2024
Country/TerritoryItaly
CityCatania
Period7/04/2410/04/24

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