Evidence map›Paper›PMID 38675320›Full record

ArticleMicromachines2024

Design and Optimization of MEMS Resonant Pressure Sensors with Wide Range and High Sensitivity Based on BP and NSGA-II.

Mingchen Lv, Pinghua Li, Jiaqi Miao, Qi Qiao, Ruimei Liang, Gaolin Li, Xuye Zhuang

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mingchen LvCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Pinghua LiCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Jiaqi MiaoCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Qi QiaoCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Ruimei LiangCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Gaolin LiCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Xuye ZhuangCollege of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.

Funding

Xuye Zhuang tsqn201909108Xuye Zhuang ZR2021MF042
6 · The paper itself

Abstract

With the continuous progress of aerospace, military technology, and marine development, the MEMS resonance pressure sensor puts forward the requirements of not only a wide range but also high sensitivity. However, traditional resonators are hardly compatible with both. In response, we propose a new sensor structure. By arranging the resonant beam and the sensitive diaphragm vertically in space, the new structure improves the rigidity of the diaphragm without changing the thickness of the diaphragm and achieves the purpose of increasing the range without affecting the sensitivity. To find the optimal structural parameters for the sensor sensitivity and range, and to prevent the effects of modal disturbances, we propose a multi-objective optimization design scheme based on the BP and NSGA-II algorithms. The optimization of the structure parameters not only improved the sensitivity but also increased the interference frequency to solve the issue of mode interference. The optimized structure achieves a sensitivity and range of 4.23 Hz/kPa and 1-10 MPa, respectively. Its linear influence factor is 38.07, significantly higher than that of most resonant pressure sensors. The structural and algorithmic optimizations proposed in this paper provide a new method for designing resonant pressure sensors compatible with a wide range and high sensitivity.

Indexed as

algorithmic optimizationBPMEMSNSGA-IIresonant pressure sensor

Identifiers

PMID38675320
PMCPMC11052145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.