SBIR-STTR Award

Comprehensive Metrology and Control of MEMS
Award last edited on: 9/15/2017

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$175,000
Award Phase
1
Solicitation Topic Code
-----

Principal Investigator
Jason Clark

Company Information

Sugarcube Systems Inc

Purdue Technology Center 1281 Winhentschel Boulevard
Lafayette, IN 47909
   (765) 543-6709
   N/A
   www.sugarcube-systems.com
Location: Single
Congr. District: 04
County: Tippecanoe

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2015
Phase I Amount
$175,000
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.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
----
Phase II Amount
----