SBIR/STTR Research Award

Manufacturing Decision Tree Model Optimization for Finishing Additive Manufactured Components

Award identifier 089d5e129351cda14ff96800ea0040f2feaa1a6943a84cd3a8cc463ff049ca00Awarding agency National Aeronautics and Space Administration

Award amount

$125,000

Program and phase

SBIR · Phase I

Award year

2017

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
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Faraday Technology, Inc.
Proposal award date
2017-06-09
Contract end date
2017-12-08
UEI
ZL5LDDLNHGN4
Solicitation number
Not reported
Topic code
Z3.02

Research abstract

This Phase I program addresses the challenge of gaining the necessary knowledge needed to support certification of additive manufacturing (AM) hardware and achieving the desired surface finish and mechanical properties on high value components produced by AM. To achieve this goal Faraday Technology Inc., will work with team members at UES Inc., CalRAM Inc., Keystone Synergistic Enterprise Inc., and REM Surface Engineering to develop the necessary empirical knowledge to produce a manufacturing decision tree model (MDTM) that will enable the part designer to reduce the cycle time required produce the desired part with the required surface finish. The MDTM will be designed to select the appropriate build pathway to form the desired component and improve the as-built surface finish on the required areas while also determining the necessary secondary steps to achieve the desired surface finish on all required surfaces. With this teams combined expertise range from AM part building [ARCAM (E-BEAM), SLM (LASER), Wire Fed (E-BEAM)], secondary AM part finishing [electrochemical and isotropic], and post process AM material evaluation (tensile and microstructural characterization) we will be able to diagnose the best manufacturing cycle to reduce time and cost while ensuring the functionality of the produced material is maintained through each processing step. It is envisioned that the outcome of this Phase I/II program would be a working MDTM that has the potential to diagnose the best manufacturing pathway to produce a wide range of high-value components with various shapes and contours.

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

202 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $72,052,120. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Energy, Environmental Protection Agency, National Science Foundation, National Aeronautics and Space Administration, Department of Health and Human Services

Agency intelligence

National Aeronautics and Space Administration

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.