A 2D omnidirectional inertial switch with multiple thresholds

We introduce a novel 2D omnidirectional inertial switch designed to detect multiple acceleration thresholds that extends the capabilities of existing omnidirectional switches with a single threshold. The device was fabricated using the SOIMUMPs process and enhanced with in-house gold sputtering to increase conductivity. The switch incorporates a suspended proof mass and stationary electrodes to uniformly sense shock-induced displacements from any planar direction. Finite Element Analysis (FEA) was used to optimize the design for uniform stiffness and precise threshold detection across all axial and off-axial planar directions. Testing was conducted using a drop-table system, assessing directional thresholds within the device plane at 15° increments around the full 360°. The results showed average first and second thresholds of 30 ɡ and 100 ɡ, respectively, with maximum variations across the angle increments of 2 ɡ for the first threshold and 5 ɡ for the second threshold. This new inertial switch represents a significant enhancement of omnidirectional sensitivity, making it particularly valuable for triggering applications in essential health and safety monitoring.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-28
DOI
https://doi.org/10.1038/s41598-025-21637-8
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 2D omnidirectional inertial switch with multiple thresholds

AlHammam Niyazi, Qiu Xu, Mohammad I. Younis, Éric Féron et al.
Scientific Reports
Neural Networks Stability and Synchronization
article

A 2D omnidirectional inertial switch with multiple thresholds

AlHammam Niyazi, Qiu Xu, Mohammad I. Younis, Éric Féron, Raed Alahmdi, Yousef Algoos
article en

Abstract

We introduce a novel 2D omnidirectional inertial switch designed to detect multiple acceleration thresholds that extends the capabilities of existing omnidirectional switches with a single threshold. The device was fabricated using the SOIMUMPs process and enhanced with in-house gold sputtering to increase conductivity. The switch incorporates a suspended proof mass and stationary electrodes to uniformly sense shock-induced displacements from any planar direction. Finite Element Analysis (FEA) was used to optimize the design for uniform stiffness and precise threshold detection across all axial and off-axial planar directions. Testing was conducted using a drop-table system, assessing directional thresholds within the device plane at 15° increments around the full 360°. The results showed average first and second thresholds of 30 ɡ and 100 ɡ, respectively, with maximum variations across the angle increments of 2 ɡ for the first threshold and 5 ɡ for the second threshold. This new inertial switch represents a significant enhancement of omnidirectional sensitivity, making it particularly valuable for triggering applications in essential health and safety monitoring.

Scientific ReportsVol. 15(1)
Binghamton University (US), King Abdulaziz University (SA), Purdue University West Lafayette (US), Saudi Aramco (Saudi Arabia) (SA), Huaiyin Institute of Technology (CN), King Abdullah University of Science and Technology (SA)
Massachusetts Institute of Technology, King Abdullah University of Science and Technology
Openalex Percentile: Top 63%
Neural Networks Stability and Synchronization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A 2D omnidirectional inertial switch with multiple thresholds — AlHammam Niyazi, Qiu Xu, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS