SBIR/STTR Research Award

SBIR Phase I: Comprehensive Metrology and Control of MEMS

Award identifier 9bc1e026bf62c3702cfa7d12c2203196ad84f7796353f98755e7617337dd39acAwarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
SUGARCUBE SYSTEMS INC.
Proposal award date
2015-01-01
Contract end date
2015-12-31
UEI
T4H6G3WFRZ35
Solicitation number
Not reported
Topic code
MI

Research abstract

This Small Business Innovation Research Phase I project will establish the ability to measure key properties in the MEMS fabrication process to help MEMS foundries and designers build more accurate sensors while shortening the design cycle and will establish that electrically probed self-calibration has the potential to replace the current costly and cumbersome physical calibration approach. Calibration of MEMS devices currently comprises over 20% of the manufacturing cost structure and has been steadily increasing over time. In higher performance devices, it can be 80% of the manufacturing cost. Successful demonstration of self-calibration methods, with accuracy equal to, or greater than, traditional physical calibration methods will not only enable the industry to eliminate this rapidly-growing cost driver, but could also enable a new era of performance-on-demand MEMS devices by that dynamically alter the device?s effective parameters and properties using electrical signals to adjust the values measured in the self-calibration process. The intellectual merit of this project centers on the development of an electronic means to calibrate MEMS devices. This mew method will deliver equal or greater accuracy as compared with traditional costly, cumbersome physical means that are constraining the MEMS industry. The research will take measurements on many "self-calibrating" MEMS devices fabricated across multiple MEMS processes, from multiple foundries and multiple runs to provide a robust data set to provide new process information using self-calibration and also to establish comparative results (both technical and economics) results with traditional calibration approaches. If successful, this could usher in a completely new paradigm in MEMS design and production by relaxing the physical calibration constraints and potentially enabling an entirely new class of performance on demand MEMS devices.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2015–2021). Reported award amounts total $406,000. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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