ClosedSpecial Notice
Energy, Department of contract category

Anisotropic Additive Manufacturing Optimization Technology for Greater Efficiency

Energy, Department of · ENERGY, DEPARTMENT OF

This notice is not accepting responses (deadline was Sep 17, 2025, 8:00 PM EDT).

Page kept for research and related open opportunities below. For current work in this category, use the related notices or browse hubs.

Response deadline
Sep 17, 2025, 8:00 PM EDT
Posted
Aug 3, 2025
Solicitation
BA-1199
Set-aside
None listed
Place of performance
ID, USA
Contracting office
BATTELLE ENERGY ALLIANCE�DOE CNTR · Idaho Falls · ID
Source
SAM.gov · updated May 9, 2026

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: 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.

What similar awards have paid

Real federal awards already on the books in a similar lane — so you can size the opportunity, not guess. This is public history, not a bid price, cost estimate, or prediction that you will win.

Typical award size

$177,831

Middle of the pack for similar past awards

Most similar awards fall between $50,219 and $737,131

Lower end$50,219Typical$177,831Higher end$737,131
Based on 500+ similar awardsSame product/service code (AJ11)Prime contracts (not umbrella IDVs)

Who has won work like this

Public awardees in this lane — useful for competitor scan or teaming ideas, not a ranked list of “best” firms.

Drawn from official USAspending contract records in our index. Always confirm requirements on the SAM.gov notice before you bid.

Intelligence only — not legal advice or a guarantee of award. Always verify requirements on the official SAM.gov notice. Past award amounts are public history, not a suggested bid or prediction. Notice ID 5a131c2741124f02b788a267099ea802.

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