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Development of Ultrasonically Absorptive Aeroshell Materials for Hypersonic Boundary Layer Transition (BLT) Delay

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0311
Agency Tracking Number: N191-043-0383
Amount: $139,997.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N191-043
Solicitation Number: 19.1
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-03
Award End Date (Contract End Date): 2019-12-09
Small Business Information
848 E. Monument Ave
Dayton, OH 45402
United States
DUNS: 780026220
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mike Kurtz Mike Kurtz
 Senior Engineer
 (937) 331-9460
 mike.kurtz@gohypersonic.com
Business Contact
 Lance Jacobsen
Phone: (937) 331-9460
Email: lance.jacobsen@gohypersonic.com
Research Institution
N/A
Abstract

As the hypersonic flight regime becomes more strategically important, designing robust flight vehicles becomes more important. Maintenance of a laminar boundary layer on hypersonic vehicles is highly desirable, as heating rate and viscous drag both increase dramatically in a turbulent boundary layer. BLT delay via ultrasonically absorptive materials (UAMs) will allow vehicles to fly further and be subjected to a less severe thermal environment, which opens up alternative material options and design approaches. During the Phase I program, GHI will design, model, fabricate, characterize, and test ultrasonically absorptive materials to determine the desired porosity characteristics that correspond to BLT delay in flight regimes of interest. Following the success of the Phase I program objectives, GHI will develop a Phase II plan which will refine and validate this new UAM. The material’s ability to delay BLT while remaining thermally and structurally viable for hypersonic flight will be verified using wind tunnel and arcjet testing. A successful Phase II program will increase the TRL from 4 to 6, preparing this technology for a flight test in its operational environment (TRL 7). The BLT prediction tool advancement made here will benefit the BLT research community, allowing computational studies to compliment ongoing experimental efforts.

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

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