Chao Zhuang
(National Institute for Materials Science)
;
Kosuke Minami
(National Institute for Materials Science)
;
Kota Shiba
(National Institute for Materials Science)
;
Genki Yoshikawa
(National Institute for Materials Science)
説明:
(abstract)In assessing piezoresistive microcantilever sensitivity for surface stress sensing, the key is its capacity to translate surface stress into changes in resistance. This change hinges on the interplay between stresses and piezoresistivity. Traditional optimization has been constrained by rudimentary 1D models, overlooking potentially superior designs. Addressing this, we employed topology optimization to optimize Si(100) microcantilevers with a p-type piezoresistor. This led to optimized designs with up to 30% enhanced sensitivity over conventional designs. A recurrent "double-cantilever" configuration emerged, which optimizes longitudinal stress and reduces transverse stress at the piezoresistor, resulting in enhanced sensitivity. We developed a simplified model to analyze stress distributions in these designs. By adjusting geometrical features in this model, we identified ideal parameter combinations for optimal stress distribution. Contrary to conventional designs favoring short cantilevers, our findings redefine efficient surface stress sensing, paving the way for innovative sensor designs beyond the conventional rectangular cantilevers.
権利情報:
キーワード: Topology optimization, nanomechanical sensors
刊行年月日: 2024-01-01
出版者: IOP Publishing
掲載誌:
研究助成金:
原稿種別: 著者最終稿 (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.4867
公開URL: https://doi.org/10.35848/1347-4065/ad1939
関連資料:
その他の識別子:
連絡先:
更新時刻: 2025-01-23 12:30:11 +0900
MDRでの公開時刻: 2025-01-23 12:30:12 +0900
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JJAP_final.pdf
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application/pdf |
サイズ | 2.32MB | 詳細 |