Faraday Technology, Inc. — Department of Defense STTR Phase I: N23A-T019
Faraday Technology, 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 $146,498. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code N23A-T019 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $146,498
- Agency
- Department of Defense · Navy
- Program / Phase
- STTR · Phase I
- Topic
- N23A-T019
- Solicitation
- 23.A
- NAICS
- —
- Place of performance
- OH
- Period
- 2023-07-17 → 2024-01-16
Description
This project will enhance the electrochemical machining process by improving pulse-reverse waveform design to enable ECM on next-generation alloys such as niobium C103 and improve tool design predictions through ECM simulation. Phase I will create a proof-of-concept demonstration of the use of optimal control theory for improving pulse-reverse waveform design on a C103 alloy. Waveform design will be used to maximize material dissolution rates (machining rates), reduce energy costs, and improve the fidelity between workpiece and tool shape. Electrochemical material-response data collected on the C103 alloy system as a function of pulse-reverse waveforms, along with a Multiphysics finite element model, will be used to create an accurate simulation of the ECM process during pulse-reverse operation. This modeling capability will improve the ability to perform predictions of tool designs needed to achieve given part shapes and reduce the non-recurring engineering expenses of ECM process design. Further work will show the feasibility to generalize the process control methodology for alternative materials of interest for turbine engine components. The end result will be a material-response database and technical know-how that enable enhanced predictions of tool shapes and operational inputs for pulse-reverse ECM processes on next-generation materials.