Anisotropic Additive Manufacturing Optimization Technology for Greater 3D Printing Efficiency

Closed Special Notice Posted

Solicitation number
BA-1199
Agency
Department of Energy
Responses due
Set-aside
No set-aside

Opportunity facts

NAICS code
33324 Industrial Machinery Manufacturing
PSC
AJ11 General Science And Technology R&D Services; General Science And Technology; Basic Research
Place of performance
Idaho 83401, United States
Points of contact

Notice details come from SAM.gov. Updated .

About this opportunity

Written by GovTribe AI ·

This Special Notice, published by the Department of Energy on February 18, 2025, concerns the licensing of Anisotropic Additive Manufacturing Optimization Technology designed to enhance 3D printing efficiency. The technology addresses critical limitations in current 3D printing practices by optimizing various printing parameters to improve the anisotropic material properties of printed parts. The opportunity targets the Industrial Machinery Manufacturing sector and falls under the General Science and Technology Research & Development Services classification. The Department of Energy's Idaho National Laboratory (INL) Technology Deployment department is seeking industry partners to license and commercialize this innovation. Applications are being accepted through September 18, 2026.

The primary objective of this licensing opportunity is to connect INL with companies capable of bringing advanced 3D printing optimization technology to market. The technology creates a comprehensive database of material properties for both single and dual material 3D printed parts, enabling accurate prediction of part performance without extensive experimental testing, thereby reducing costs and development timelines. Interested parties should note that INL's Technology Deployment department focuses exclusively on licensing intellectual property and collaborative commercialization efforts rather than traditional procurement of external services. There are no specific set-asides or eligibility restrictions mentioned, indicating the opportunity is open to qualified private sector organizations. Potential applications span aerospace, military, engineering, architecture, construction, and medical industries, with opportunities for software development, simulation tools, and manufacturing consultancy services related to 3D printing process optimization.

Notice text

2 versions

As posted on SAM.gov.

Update #2 · Latest ·

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:

  • Significant reduction in material costs and 3D printing expenses.

  • Elimination of the need for post-design experimental testing.

  • Creation of a comprehensive database for anisotropic material properties.

  • Enables accurate and reliable design and numerical modeling of 3D printed parts.

  • Opens new avenues for the application of 3D printing technology across various industries.

Problems Solved:

  • Current limitation of isotropic material properties assumption in 3D printed parts design.

  • Lack of reliable data for predicting the real-world behavior of 3D printed parts.

  • High costs and inefficiencies associated with additional experimental testing.

  • Difficulty in optimizing 3D printing parameters for enhanced part performance.

Market Applications:

  • Industrial design and manufacturing for aerospace, military, engineering, architecture, construction, and medical industries.

  • Development of high-performance, cost-effective 3D printed parts for critical applications.

  • Software and simulation tools for predictive modeling of 3D printed parts.

  • 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.

Update #1 ·

Description:

This 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:

  • Significant reduction in material costs and 3D printing expenses.

  • Elimination of the need for post-design experimental testing.

  • Creation of a comprehensive database for anisotropic material properties.

  • Enables accurate and reliable design and numerical modeling of 3D printed parts.

  • Opens new avenues for the application of 3D printing technology across various industries.

Problems Solved:

  • Current limitation of isotropic material properties assumption in 3D printed parts design.

  • Lack of reliable data for predicting the real-world behavior of 3D printed parts.

  • High costs and inefficiencies associated with additional experimental testing.

  • Difficulty in optimizing 3D printing parameters for enhanced part performance.

Market Applications:

  • Industrial design and manufacturing for aerospace, military, engineering, architecture, construction, and medical industries.

  • Development of high-performance, cost-effective 3D printed parts for critical applications.

  • Software and simulation tools for predictive modeling of 3D printed parts.

  • Consultancy services for optimizing 3D printing processes in manufacturing.

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