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Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68936-21-C-0005
Agency Tracking Number: N20B-T029-0049
Amount: $139,869.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N20B-T029
Solicitation Number: 20.B
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-10-29
Award End Date (Contract End Date): 2021-04-29
Small Business Information
3259 PROGRESS DRIVE
ORLANDO, FL 32826-1111
United States
DUNS: 052971564
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Hong Shu
 (407) 733-9776
 hong.shu@irglare.com
Business Contact
 Elena Lyakh
Phone: (310) 720-3286
Email: elena.lyakh@irglare.com
Research Institution
 University of Central Florida
 Arkadiy Lyakh
 
4000 Central Florida Blvd
Orlando, FL 32816-1111
United States

 (407) 823-0699
 Domestic Nonprofit Research Organization
Abstract

The development of a burn-in process for high power MWIR and LWIR Quantum Cascade Lasers (QCLs) is proposed. The new burn-in process will be rooted in extensive statistical experimental data to be collected in Phase I and Phase II of this program. This will allow us to extract all the critical empirical parameters required for mean-time-to-failure (MTTF) projections for high power MWIR and LWIR devices subjected to different operational conditions. The collected statistical burn-in data will be subsequently analyzed against material quality data collected for devices with different run time. Finally, a slow degradation model reconciling the experimental laser performance and material quality data will be developed. The model will be used to determine optimal accelerated burn-in parameters for weeding out defected QCLs with poor projected short-term reliability, to project MTTF for “good” lasers under specific operational conditions, and to guide us in the development of high power devices with improved long term reliability.

* Information listed above is at the time of submission. *

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