SBIR/STTR Research Award

Additive Manufacturing for Affordable Missile Defense

Award identifier 1e245043d7ea15136e9fa0ffc3e739570f3030848e10c90c684fb209b8e0ad54Awarding agency Department of Defense · Missile Defense Agency

Award amount

$149,986

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
Department of Defense
Branch
Missile Defense Agency
Recipient company
ALPHASTAR TECHNOLOGY SOLUTIONS
Proposal award date
2016-12-19
Contract end date
2017-06-22
UEI
TZD9XM9HKFL5
Solicitation number
2016.2
Topic code
MDA16-013

Research abstract

Team will leverage advanced multi-scale material modeling, multi-physics simulation technologies, and additive manufacturing hardware to deliver an improved Selective Laser Melting (SLM) process that manufactures qualifies noncritical parts and ensures mechanical properties meet or exceed wrought properties associated with commonly used powder metals. The toolset will simulate additive manufacture of component parts, while predicting bulk thermal response, solidification, deflection, residual stress, damage initiation, crack propagation, material properties and post-fabrication mechanical performance. Resulting capability will provide a methodology to optimize fabrication process, build as designed, reduce waste, reduce costs, shorten delivery times and lead to part qualification, with pathway to certification by analysis supplemented by test. Real data will be captured at every opportunity to accelerate material qualification and model validation. Relationship between process parameters (laser power, laser beam diameter, scanning speed, hatch space, absorption rate, etc.) and thermal history will be determined in order to reduce occurrence of porosity and residual stress formation during the additive process. Component modeling and simulation optimized fabrication will be undertaken based on multi-objective parameter optimization. Inputs required for fabrication of components with tailored mechanical properties and tight acceptance standards will be formulated, such that assigned process parameters for fabrication meet MDA/Raytheon specifications and qualification. Approved for Public Release | 16-MDA-8917 (15 November 16)

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

46 SBIR/STTR records share this UEI (1992–2026). Reported award amounts total $14,646,183. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Defense

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.