X-Wave Innovations, Inc. — Department of Defense STTR Phase I: N23A-T004
X-Wave Innovations, Inc. — STTR Phase I award from Department of Defense.
Phase I STTR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $146,500. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code N23A-T004 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $146,500
- Agency
- Department of Defense · Navy
- Program / Phase
- STTR · Phase I
- Topic
- N23A-T004
- Solicitation
- 23.A
- NAICS
- —
- Place of performance
- MD
- Period
- 2023-06-27 → 2023-12-18
Description
Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but it suffers from well-known problems of inconsistent quality of the finished product. The US Navy is interested in addressing this problem by developing a digital twin-based machine control tool for in-situ AM process monitoring and healing. Therefore, sensor fusion monitoring, machine learning processing, and close-loop machine control are crucial research areas with the goal of solving this problem. To address this critical need, X-wave Innovations, Inc. (XII) and Johns Hopkins University Applied Physics Laboratory (JHU/APL) propose to develop an advanced digital twin-based in-situ monitoring and healing (IMH) package for powder bed fusion processes. This technology provides a real-time laser powder bed fusion process monitoring and near real-time healing solution to produce metallic end products without defects. The technology development involved digital twin-based monitoring and healing and advanced machine learning correlation algorithms. Upon completion, this technology is expected to be applicable to powder bed fusion AM processes for improved productivity and reduced rejected components due to inferior quality.