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 contract pertains to a licensable technology aimed at optimizing 3D printing processes by adjusting parameters such as infill density, geometry, layer thickness, and material distribution to improve the anisotropic properties of printed parts. The innovation centers on developing a comprehensive material property database for single and dual material 3D printed components. This allows for precise prediction of how parts will perform under real-world conditions, thus eliminating the need for costly and time-consuming experimental testing. The technology offers significant cost savings in materials and printing expenses, enhances design reliability, and opens new possibilities for applying 3D printing across industries. The technology addresses critical challenges in the current 3D printing landscape, including the prevalent assumption of isotropic material properties in part design and the lack of dependable data for predicting real-world behavior. It is geared towards industrial applications in aerospace, military, engineering, architecture, construction, and medical fields, supporting the development of high-performance and cost-effective printed parts. Additionally, it supports the creation of advanced software and simulation tools for predictive modeling and offers consultancy services to optimize manufacturing processes. The Department of Energy’s Battelle Energy Alliance–doe Center seeks partners interested in licensing and commercializing this innovation, emphasizing technology deployment without engaging in purchasing or external service procurement.
General Info
Agency
NAICS
Place of Performance
ID, 83401, USASet-Aside
Documents
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Response Deadline
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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