SBIR/STTR Research Award

Microstructure-Based Analytical Software Toolset for Optimizing Laser Powder Bed Fusion Processing Parameters

Award identifier 7e4a94ec5e015909ac856455ac702a18553a8ee1837b5ec6b8f34c32e20471f5Awarding agency Department of Defense · Navy

Award amount

$499,727

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
MRL MATERIALS RESOURCES LLC
Proposal award date
2019-06-18
Contract end date
2020-11-30
UEI
L9FGFCL63WL3
Solicitation number
16.2
Topic code
N162-083

Research abstract

The performance of parts made by metallic additive manufacturing (AM) is highly correlated to the underlying bulk/surface microstructure characteristics (e.g. porosities, morphology, phases etc.) which are related to the processing and post processing conditions. Regardless of how optimized post processing can be, poorly selected processing parameters will always result in poor component performance, especially under dynamic loading conditions. Using trial and error to optimize processing parameters to achieve desired performance is expensive and time consuming. Thus, MRL is adopting an integrated computational materials engineering (ICME) approach which uses simulation and modeling for process parameter optimization in AM in general and in laser powder bed fusion (LPBF) in particular.

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

42 SBIR/STTR records share this UEI (2010–2025). Reported award amounts total $19,424,359. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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