SBIR/STTR Research Award

Fiber-embedded wireless sensors

Award identifier bdb19eeb6c93793c1051807f24a466f406388a3ab6006cd6c1e8db0f6b7b871fAwarding agency Department of Energy

Award amount

$200,000

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
FREE FORM FIBERS L.L.C.
Proposal award date
2023-07-10
Contract end date
2024-07-09
UEI
HTJ8WJJPK8T8
Solicitation number
DE-FOA-0002903
Topic code
C56-40w

Research abstract

With this DOE SBIR Phase I proposal, Free Form Fibers is aiming to demonstrate a bio-inspired methodology to insert self-contained, self-powered sensors within multifunctional structural fiber reinforcements. This approach is especially suited for sensors [and actuators] for harsh environments, such as nuclear reactors. The envisioned technology of fiber-embedded systems, as well as its business model, are inspired by the phenomenal success of Micro-Electro-Mechanical-Systems (MEMS), which are now present in every smartphone, vehicle, and most consumer electronics. Contrary to MEMS, however, the proposed fiber-embedded systems are not add-on, but rather an integral part of composite materials. They are envisioned as seamlessly integrated, non-invasive, wireless, and an alternative to add-on fiber-optics sensors. The necessary manufacturing technology is protected under US and International patents. It is a form of Containerless, Material-Agnostic, Additive Manufacturing, specialized for filamentary structures and is referred to 1½-D Printing. The proposed approach is quite generic. If demonstrated for one type of sensor – say heat flux – the same approach can be used for other sensing devices (e.g., neutron flux). The approach also has a great potential for integrated structural health monitoring in both nuclear and non-nuclear applications. By analogy to MEMS, the expectation is that mass manufacturing can bring down the per device cost so low that a large number can be integrated into a composite structure, forming the technological equivalent of a “nervous system.” Sensor interrogation is expected via microwave radio frequency, and lead to interpretation using Digital Twins, or Machine Learning and Artificial Intelligence. Ultimately, such a strategy could displace stationary non-destructive evaluation with on-board structural health monitoring.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

21 SBIR/STTR records share this UEI (2010–2024). Reported award amounts total $11,920,492. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Defense, National Science Foundation, National Aeronautics and Space Administration

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.