SBIR/STTR Research Award

Sentinel 4.0TM: Measurement and Control System for 3DCP Interlayer Bond Strength

Award identifier 80c968db26c47d517ea000349d84a46ae6370dbc20410780416732298c3ba4f1Awarding agency Department of Commerce · National Institute of Standards and Technology

Award amount

$399,924

Program and phase

SBIR · Phase II

Award year

2024

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 Commerce
Branch
National Institute of Standards and Technology
Recipient company
APPLIED RESEARCH TRANSFORMATION, PLLC
Proposal award date
2024-10-01
Contract end date
2026-03-31
UEI
C564ENTZC2D5
Solicitation number
2024-NIST-SBIR-02
Topic code
2

Research abstract

The construction industry is poised for a major transformation through the additive manufacturing approach of field-based concrete printing, an emerging technology using large-scale 3D printers to construct physical infrastructure. Most 3D printing is performed in a controlled environment. In field-based construction, many factors, especially environmental ones, affecting printed concrete product quality are difficult to control. These factors drive the need for field-based quality control methods. A significant hurdle to the anticipated growth of field-based concrete printing is consistency of strength in the bond between successive layers of the printed cementitious materials. The end goal of this work is to develop a commercial system for measuring and controlling the quality of this interlayer bond strength under multiple environmental conditions likely to be encountered in the construction industry, including temperature, humidity, wind, dust, and printing delays. Phase II research focuses on measurement of interlayer bond strength of laboratory printed specimens with deliberately varied environmental conditions and print intervals resulting in predictive algorithms based on machine vision data. These algorithms will be used to build a commercial system that monitors the mortar continuously during placement and adjusts the output of the printer in real-time to obtain optimal interlayer bond strength.

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.

Research funding history

3 SBIR/STTR records share this UEI (2023–2026). Reported award amounts total $804,894. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Commerce, National Science Foundation

Agency intelligence

Department of Commerce

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.