Evidence map›Paper›PMID 41131006›Full record

ArticleMicrosystems & nanoengineering2025

A nonlinear stiffness softening mechanism for low-bias, high-sensitivity MEMS accelerometers with extended dynamic range.

Peyman Firoozy, Milad Seifnejad Haghighi, Mikhail Kanygin, Philip Ferguson, Behraad Bahreyni

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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.

Peyman FiroozySchool of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada. pfa24@sfu.ca.
Milad Seifnejad HaghighiSchool of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada.
Mikhail KanyginSchool of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada.
Philip FergusonDepartment of Mechanical Engineering, University of Manitoba, Winnipeg, MB, R3T 5V6, Canada.
Behraad BahreyniSchool of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada. bba19@sfu.ca.ORCID http://orcid.org/0000-0001-6809-1445

Funding

Gouvernement du Canada | Canadian Space Agency (Agence Spatiale Canadienne) 21EXPLEAP1
6 · The paper itself

Abstract

The small dimensions of microfabricated devices present challenges in applications such as inertial sensing, where a larger proofmass is necessary for enhanced sensitivity. An effective approach to addressing the limitations of linear sensing is to use nonlinear mechanisms that adapt the device's response according to different operating conditions. This paper introduces a new nonlinear spring mechanism for use in microsensors that harnesses the buckling phenomenon to achieve stiffness softening. The proposed mechanism utilizes a micro-arm to apply an eccentric axial load to an inclined beam, causing it to buckle in a controlled manner under a specified load. Once buckled, linear springs dominate the response of the system. We demonstrate that this method results in a smaller bias displacement compared to previously reported techniques based on snap-through behaviour, leading to potential reductions in device size and improvements in operational range. The behaviour is analytically modelled and verified through simulations. A prototype device was designed and microfabricated to experimentally validate the design principles. Compared to pre-curved nonlinear springs, the proposed design results in an 11-fold reduction in bias force, a 100-fold reduction in bias displacement, and a reduction in mechanical stiffness by a factor of 520. These results were verified through experiments conducted on a microfabricated accelerometer with an on-chip optical interferometer. Test results reveal an extended linear range of better than

Identifiers

PMID41131006
PMCPMC12550057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.