CERANOVA CORP — Department of Defense SBIR Phase II: OSD181-002
CERANOVA CORP — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $1,377,521 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code OSD181-002 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $1,377,521
- Agency
- Department of Defense
- Program / Phase
- SBIR · Phase II
- Topic
- OSD181-002
- Solicitation
- 18.1
- NAICS
- —
- Place of performance
- MA
- Period
- 2020-09-28 → 2022-09-27
Description
This Phase II program addresses an urgent US need for seeker windows on compact, high Mach munitions. The Phase II builds upon the results gained in the Phase I program to determine the selection of a seeker window system, the fabrication of test windows, and the delivery of seeker windows to OSD-SCO and seeker developers. The tremendous mechanical and thermal loads encountered by these projectiles during gun launch at up to 50,000 G and hypervelocity flight require highly advanced materials and designs. As indicated in the Phase I, CeraNova’s IR-transparent ceramics are uniquely able to withstand extreme temperatures and forces and provide the required precision optical performance for advanced seeker imaging on high-Mach vehicles. This technology will ultimately enable extended ranges, increased payloads and lethality, and higher targeting accuracy, all of which will provide greater warfighter protection. CeraNova has assembled a strong, knowledgeable team consisting of design, modeling and simulation expertise, capable testing organizations, seeker developers, and airframe system manufactures. As a result, program risk is minimalized and success probability maximized.