Special notice
Anisotropic Additive Manufacturing Optimization Technology for Greater 3D Printing Efficiency
BA-1199
Department of Energy, Battelle Energy Alliance–doe CNTR. Industrial Machinery Manufacturing.
Response deadline
September 18, 2026 at 1:00 PM EDT
Closed 44 days ago. Posted April 20, 2026, first published February 18, 2025. Scheduled to archive October 3, 2026.
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Description
As published on SAM.gov.
Description:
This licensable technology focuses on optimizing various 3D printing parameters such as infill density, geometry, layer thickness, and material distribution to enhance the anisotropic material properties of printed parts. This research aims to create a database of material properties for single and dual material 3D printed parts, enabling accurate prediction of part behavior under real-world conditions without the need for additional experimental testing.
Key Advantages:
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Significant reduction in material costs and 3D printing expenses.
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Elimination of the need for post-design experimental testing.
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Creation of a comprehensive database for anisotropic material properties.
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Enables accurate and reliable design and numerical modeling of 3D printed parts.
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Opens new avenues for the application of 3D printing technology across various industries.
Problems Solved:
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Current limitation of isotropic material properties assumption in 3D printed parts design.
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Lack of reliable data for predicting the real-world behavior of 3D printed parts.
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High costs and inefficiencies associated with additional experimental testing.
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Difficulty in optimizing 3D printing parameters for enhanced part performance.
Market Applications:
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Industrial design and manufacturing for aerospace, military, engineering, architecture, construction, and medical industries.
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Development of high-performance, cost-effective 3D printed parts for critical applications.
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Software and simulation tools for predictive modeling of 3D printed parts.
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Consultancy services for optimizing 3D printing processes in manufacturing.
INL’s Technology Deployment department focuses solely on licensing intellectual property and collaborating with industry partners who can commercialize our innovations.
We do not engage in purchasing, procurement, or hiring external services for technology development. Our objective is to connect with companies interested in licensing and bringing our technologies to market.
Publications
Every notice SAM.gov issued under this solicitation number, oldest first. Each is a separate record on SAM.
February 18, 2025
Special notice
Additive Manufacturing Optimization Technology For Greater Efficiency and Cost Savings
Due February 18, 2025 at 1:00 PM EST. SAM.gov, notice 390ce7cfc998426e8bf4557f6e9be3bb
March 3, 2025
Special notice
Additive Manufacturing Optimization Technology For Greater Efficiency and Cost Savings
Due February 18, 2025 at 1:00 PM EST. SAM.gov, notice 81c1d7219cb945a2bf8914e5ca0ca74e
June 9, 2025
Special notice
Anisotropic Additive Manufacturing Optimization Technology for Greater Efficiency
Due July 18, 2025 at 1:00 PM EDT. SAM.gov, notice 0e42c061d122452f88b08460683b274d
June 9, 2025
Special notice
Additive Manufacturing Optimization Technology For Greater Efficiency and Cost Savings
Due July 18, 2025 at 1:00 PM EDT. SAM.gov, notice 439ed7c2bc71463ba0931f43330ab5eb
August 4, 2025
Special notice
Anisotropic Additive Manufacturing Optimization Technology for Greater Efficiency
Due September 18, 2025 at 1:00 PM EDT. SAM.gov, notice 5a131c2741124f02b788a267099ea802
August 4, 2025
Special notice
Due September 18, 2025 at 1:00 PM EDT. SAM.gov, notice aeea33019e5249eeb126c79900905bd8
April 20, 2026
Special notice
Due September 18, 2026 at 1:00 PM EDT. SAM.gov, notice 99cc087272074ae1ac910e3f8ee2814a
7 revisions on SAM
- April 20, 2026: publish, special notice
- August 4, 2025: publish, special notice
- August 4, 2025: publish, special notice
- June 9, 2025: publish, special notice
- June 9, 2025: publish, special notice
- March 3, 2025: publish, special notice
- February 18, 2025: publish, special notice
Points of contact
- Javier Martinezjavier.martinez@inl.gov