Toward a Tunable AlN-Based Piezoelectric MEMS Microphone: Design, Characterization, and Analysis

This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a baseline sensitivity of -39.31 dB, with tunability enabled by a DC tuning mechanism. The key innovations of this subject include: 1) a discrete el...

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Published inJournal of microelectromechanical systems Vol. 34; no. 4; pp. 432 - 442
Main Authors Zheng, Zhuoyue, Wu, Xinyu, Wang, Yuan, Luo, Huahuang, Ke, Qingqing, Wang, Chen, Kraft, Michael, Martins, Rui P., Mak, Pui In
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1057-7157
1941-0158
DOI10.1109/JMEMS.2025.3558897

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Summary:This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a baseline sensitivity of -39.31 dB, with tunability enabled by a DC tuning mechanism. The key innovations of this subject include: 1) a discrete electrode design enabling simultaneous tuning of sensitivity and resonant frequency while preserving acoustic sensing functionality; 2) utilizing the reverse piezoelectric effect to achieve large tunable ranges with minimal tuning voltages; and 3) a cost-effective performance tuning methodology that eliminates the need for structural modifications; 4) ascertain the tuning mechanism. Furthermore, a refined equivalent circuit model provides insights into the electromechanical behavior of the device, enabling the optimization of tunable microphones and acoustic transducers. Experimental results demonstrate the tuning ability successfully. The acoustic experiment shows that the output amplitude can be changed by up to 182.18% under ±0.5 V DC tuning under 1 kHz acoustic input. The electrical experiment reveals a maximum resonant frequency change of 6.85% with ±10 V DC. The proposed microphone is a promising candidate to be employed in many next-generation audio applications, such as adaptive voice systems, AI-driven speech recognition, and noise cancellation.[2025-0005]
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ISSN:1057-7157
1941-0158
DOI:10.1109/JMEMS.2025.3558897