This Government Contract opportunity from Department Of Energy was posted on April 20, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Anisotropic Additive Manufacturing Optimization Technology for Greater 3D Printing Efficiency
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
AI Contract Overview
This licensable technology, titled Anisotropic Additive Manufacturing Optimization Technology for Greater 3D Printing Efficiency, focuses on optimizing 3D printing parameters such as layer thickness, infill density, and material distribution. By creating a comprehensive database of material properties for single and dual material parts, the technology enables accurate prediction of part behavior under real-world conditions. This eliminates the need for costly post-design experimental testing and overcomes the limitations of isotropic material assumptions, leading to significant reductions in material costs and overall printing expenses. The technology is applicable across various high-performance sectors, including aerospace, medical, military, and construction, and is suitable for integration into simulation software and consultancy services. Managed by the Department of Energy through the Battelle Energy Alliance, this opportunity is specifically for industry partners interested in licensing intellectual property for commercialization. Interested parties should note the response deadline of September 18, 2026, and contact Javier Martinez for further details regarding this special notice.
General Info
NAICS
Place of Performance
ID, 83401, USASet-Aside
Documents
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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.
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