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
- AlHammam Niyazi (ORCID: https://orcid.org/0000-0001-8954-1951)
- Qiu Xu (ORCID: https://orcid.org/0000-0003-3597-3497)
- Mohammad I. Younis (ORCID: https://orcid.org/0000-0002-9491-1838)
- Éric Féron (ORCID: https://orcid.org/0000-0001-7717-2159)
- Raed Alahmdi (ORCID: https://orcid.org/0000-0003-1181-6673)
- Yousef Algoos (ORCID: https://orcid.org/0000-0002-4173-5527)
Institutions
- 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)
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
- Massachusetts Institute of Technology
- King Abdullah University of Science and Technology