PROTECTION ENGINEERING CONSULTANTS LLC — Department of Defense STTR Phase II: A21C-T006
PROTECTION ENGINEERING CONSULTANTS LLC — STTR Phase II award from Department of Defense.
- Amount
- $1,149,895
- Agency
- Department of Defense · Army
- Program / Phase
- STTR · Phase II
- Topic
- A21C-T006
- Solicitation
- 21.C
- NAICS
- —
- Place of performance
- TX
- Period
- 2023-06-30 → 2025-06-29
Description
Data-driven materials design is a burgeoning field with the potential to rapidly accelerate new materials development, provided that large volumes of data can be efficiently generated and analyzed. The Department of Defense (DoD) is interested in data-driven design of next-generation protection materials. However, ballistic evaluation of protection materials presents a significant bottleneck: due to safety concerns and stringent testing requirements, full-scale ballistic tests are expensive and generate data at a very low rate, on the order of 10 samples/day. Sub-scale ballistic testing offers a potential alternative without such limitations, by using dramatically smaller projectiles and smaller samples to improve safety, reduce expense, and significantly increase throughput. However, to meet the demands of data-driven materials design, sub-scale testing techniques will require advancements in several areas: rate of data collection and processing, automation of analysis, development of up-scaling relationships, and development of test standards. Revolutionary development in this area presents tremendous opportunity to develop new materials an order of magnitude faster while requiring an order of magnitude less material. The goal of this effort is to develop a sub-scale ballistic testing platform as a critical tool for data-driven, high-throughput design and characterization of next-generation protection materials. This goal will be met during Phase II through the following technical objectives: (1) construct a fully functional prototype system, (2) quantify the accuracy of the fully automated system, (3) evaluate the fidelity of the subscale technique compared with full scale tests, (4) demonstrate a substantial increase in the rate of experimentation compared with other subscale and full-scale testing approaches.