SBIR/STTR Research Award

Improved Part-Scale Modeling of Additive Manufacturing Processes

Award identifier 1ca8c553ea99903e617c5f336f7fe6e9c0b3d5f5b3f8b5be93524a7a0c28c605Awarding agency National Aeronautics and Space Administration

Award amount

$754,914

Program and phase

STTR · Phase II

Award year

2022

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
QuesTek Innovations LLC
Proposal award date
2022-02-25
Contract end date
2024-02-24
UEI
JMFVWEY5KLN6
Solicitation number
STTR_20_P2
Topic code
T12

Research abstract

In the proposed Phase II STTR program, QuesTek Innovations LLC will further develop and mature improved part-scale additive manufacturing (AM) process models. Building on the success of Phase I efforts on modeling laser powder bed fusion (LPBF) of Inconel 625 (IN625), QuesTek partnering with Northwestern University will expand their proof-of-concept tools to higher length scales and new materials. Professor Gregory Wagner, Northwestern University PI, will continue to focus on improved multiscale thermal history models to achieve higher accuracy while maintaining computational efficiency. QuesTek will continue to develop their grain growth algorithm by achieving higher computational efficiency as well as higher accuracy through the increased usage of physics-informed predictions.The objective of the Phase II program is three-fold: continue to improve on the efficiency and accuracy of the proof-of-concept tools developed in Phase I, demonstrate extensibility of the tools by applying them to a new material Ti-6Al-4V (Ti64), and integrate all developed tools into a cohesive software framework. Further, model results will be validated by a robust AM study aimed at obtaining 3D grain structure data as a function of different printing parameters, strategies, and build geometries for both LPBF-processed IN625 and Ti64.QuesTek will utilize its expertise in the field of ICME to lead the overall STTR program with the objective of guiding the standardization and qualification of AM processing using an innovative tool set with improved accuracy and efficiency of as-printed predictions, linking the tool to QuesTekrsquo;s already mature post-printing processing simulations to enable complete and robust predictions of AM parts from-powder-to-part.

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

151 SBIR/STTR records share this UEI (2000–2025). Reported award amounts total $59,050,677. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

National Aeronautics and Space Administration

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