SBIR/STTR Research Award

Efficient Prediction of Thermal Stresses and Distortion in Complex Optimized Missile Structures

Award identifier 961a28caac9efd2839bd92786fb3624548c43988f70386df2c4444c9bee45875Awarding agency Department of Defense · Army

Award amount

$550,023

Program and phase

SBIR · Phase II

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
MATERIALS SCIENCES LLC
Proposal award date
2020-03-12
Contract end date
2021-09-16
UEI
GKJZWMKKWWX4
Solicitation number
16.3
Topic code
A16-104

Research abstract

Additive manufacturing (AM) technology offers the potential to fabricate complex geometries that cannot be realized using conventional subtractive methods.  In current industrial AM processes, support structure is typically needed for complex geometries that contain overhangs.  Determination of the type and distribution of support structure is often based solely on technician experience with a focus on maintaining structural stability throughout the build process.  This process is far from optimal and does not take into account thermally-induced residual stress buildup and subsequent part distortion that can occur when the support material is removed.  Directed Energy Deposition (DED) additive manufacturing (AM) utilizes a high energy beam source such as a laser to create a melt pool on the part while feedstock material in powder or wire form is fed into the melt pool.  The material deposition rate for a DED process is 10-100 times faster than for a Laser Powder Bed Fusion (LPBF) process, e.g., Selective Laser Melting (SLM).  Therefore, heat and residual thermal stress accumulation in the build during DED processing is a much greater issue than during LPBF processing.  For example, the temperature rise in each layer would cause the build to be inconsistent in dimension and mechanical properties.  Excessive residual stress induced by the process would cause the build plate to deform severely after removal from the build platform, which would make post-machining very difficult or sometimes even impossible for large parts.  Computational modeling can be utilized to overcome these issues by drastically reducing the number of experiments needed to optimize the process.  Materials Sciences LLC and the University of Pittsburgh will build on their recent advances in fast process simulation based on the modified inherent strain method and topology optimization enabled prediction of residual distortion at part-scale for DED to accelerate insertion of this AM technology in missile and aviation product development efforts.

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

223 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $77,459,684. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Defense

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