SBIR/STTR Research Award

In-Line Quality Control with Terahertz Scanners for High-throughput Production of Low Temperature Fuel Cells and Electrolyzer MEAs

Award identifier 8967da24b6e07dcb6a8384d74659e80566692437cccb0b2076fee16ef845ae10Awarding agency Department of Energy

Award amount

$199,338

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
LOOKIN, INC.
Proposal award date
2023-07-10
Contract end date
2024-01-09
UEI
RAULMM8HHAH5
Solicitation number
DE-FOA-0002903
Topic code
C56-18h

Research abstract

Lookin, Inc., in collaboration with National Renewable Energy Laboratory (NREL), proposes to develop a transformative quality control (QC) instrument, a high-throughput terahertz scanner, for in-line QC of fuel cell and electrolyzer membrane electrode assemblies (MEAs) at different stages of roll-to-roll (R2R) manufacturing. Hydrogen and fuel cell technologies provide clean, portable, high-density energy, which is useful in many settings including medium- and heavy-duty proton exchange membrane (PEM) fuel cell vehicles and for operation in remote locations. The next big step in fuel cell industry is scaling up the manufacturing process of MEAs. As fuel cell manufacturing is a complex and precise process, it requires strict quality control to ensure the performance and safety of the final product. Therefore, an in-line quality control instrument becomes a very valuable tool that can help manufacturers achieve these goals. Such an instrument can assure high quality products by continuously monitoring critical parameters during production, can help with process optimization by identifying bottlenecks and inefficiencies during manufacturing, and can offer cost reduction by decreasing the scrap rate. There are many available techniques that can be used to characterize the substructure of fuel cells and electrolyzer MEAs, such as thermography, infrared hyperspectral imaging, or imaging techniques based on X-rays. However, these techniques are limited in their field-of-view and throughput. To address the limitations of the existing QC techniques, Lookin proposes a scanner that employs terahertz radiation for non-destructive QC of fuel cells and electrolyzer MEAs. Terahertz waves offer unique functionalities for QC applications. They can penetrate through many coatings that are non-transparent to infrared and visible light and provide 3D images of multi-layer structures. Unlike X-rays, they are non-ionizing and non- destructive. Despite these great promises, the low sensitivity and scanning speed of existing terahertz scanners have limited their usage in many practical applications. Lookin’s breakthrough terahertz scanner technology addresses the limitations of existing terahertz scanners by providing 1000-times higher sensitivity and scanning speed compared to the state-of-the art, through a patented terahertz transceiver technology developed by Lookin’s founders. During the Phase I program, Lookin will work with the NREL collaborator group, who has already investigated various techniques for in-line QC of fuel cell and electrolyzer MEAs. Lookin will build a laboratory prototype terahertz scanner, use it for analyzing various healthy and defective fuel cell and electrolyzer MEAs and their substructures, and compare the findings with those obtained by other QC techniques. By the end of the program, our team will test the feasibility of the proposed QC instrument and determine the required parameters of a field prototype terahertz scanner that can be used in R2R fuel cell manufacturing facilities for QC. During the Phase II program, Lookin plans to develop the field prototype terahertz scanner and install it in R2R manufacturing facilities of several fuel cell manufacturers to test the performance of the terahertz scanner in industrial settings. In addition, by collecting a large dataset from these experiments, Lookin will improve the accuracy of its post-processing algorithms using machine learning and statistical modeling. By enabling high-throughput and high-accuracy detection of defects in fuel cell and electrolyzer MEAs at early stages of manufacturing, our proposed instrument would be an indispensable tool for fuel cell manufacturers.

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

11 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $7,335,033. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services

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.