RELOGIC RESEARCH, INC. — Department of Defense STTR Phase I: AF20C-TCSO1
RELOGIC RESEARCH, 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 $49,754. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code AF20C-TCSO1 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $49,754
- Agency
- Department of Defense · Air Force
- Program / Phase
- STTR · Phase I
- Topic
- AF20C-TCSO1
- Solicitation
- X20.C
- NAICS
- —
- Place of performance
- AL
- Period
- 2021-02-04 → 2021-05-08
Description
The Air Force (AF) Rapid Sustainment Office’s (RSO) mission is to leverage mature, new, and emerging technology to reduce subsistent costs and improve readiness. In pursuit of this mission, one of the RSO’s focus areas is advanced manufacturing. Pervasive to current advanced manufacturing technologies, e.g., additive manufacturing, computed aided machining, etc., is the need for a 3D digital representation of components in a computer aided design (CAD) environment. Scanning technologies, e.g., laser scanning FaroArm, can facilitate development of digital models from existing components. However, despite recent advances to automate aspects of the process of converting scan data to a 3D digital model in a CAD environment, it is still labor intensive and requires a certain level of expertise. Consequently, for the AF to continue to capitalize on the lead-time and cost reductions provided by advanced manufacturing, a technology to automate the process of converting 3D scanning data to 3D digital models in a CAD environment is needed. In response to this need, ReLogic Research Inc. (ReLogic) is teaming with the PLATO development team at Sandia National Laboratories (SNL) to develop an innovative technology for automatic conversion of 3D scanning data to 3D digital models in a CAD environment.