Evidence map›Paper›PMID 41470448›Full record

ArticleMaterials (Basel, Switzerland)2025

Identification of Mechanical Parameters of the Silicon Structure of a Capacitive MEMS Accelerometer.

Kamil Kurpanik, Klaudiusz Gołombek, Edyta Krzystała, Jonasz Hartwich, Sławomir Kciuk

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kamil KurpanikDepartment of Theoretical and Applied Mechanics, Faculty of Mechanical Engineering Technology, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.ORCID 0000-0001-7984-7113
Klaudiusz GołombekMaterials Research Laboratory, Faculty of Mechanical Engineering Technology, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.ORCID 0000-0001-5188-1950
Edyta KrzystałaDepartment of Theoretical and Applied Mechanics, Faculty of Mechanical Engineering Technology, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.ORCID 0000-0002-3445-6773
Jonasz HartwichDepartment of Theoretical and Applied Mechanics, Faculty of Mechanical Engineering Technology, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.ORCID 0000-0003-3318-3897
Sławomir KciukDepartment of Theoretical and Applied Mechanics, Faculty of Mechanical Engineering Technology, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland.ORCID 0000-0003-1022-5652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to conduct an advanced analysis of the MEMS sensor, including both experimental tests and numerical simulations, in order to determine its mechanical properties and operational dynamics in detail. It is challenging to find publications in the literature that are not based on theoretical assumptions or general manufacturer data, which do not reflect the actual microstructural characteristics of the sensor. This study uses a numerical model developed in MATLAB/Simulink, which allows the experimentally determined material characteristics to be combined with predictive dynamic modelling. The model takes into account key mechanical parameters such as stiffness, damping and response to dynamic loads, and the built-in optimisation algorithm allows the structural parameters of the MEMS accelerometer to be estimated directly from experimental data. In addition, SEM microscopic studies and EDS chemical composition analysis provided detailed information on the sensor's microstructure, allowing its impact on mechanical properties and dynamic parameters to be assessed. The integration of advanced experimental methods with numerical modelling has resulted in a model whose response closely matches the measurement results, which is an important step towards further research on design optimisation and improving the reliability of MEMS sensors in diverse operating conditions.

Indexed as

dynamic analysisMATLAB SimulinkMEMS accelerometermodel validationnumerical modeling

Identifiers

PMID41470448
PMCPMC12734742

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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.