Artificial Intelligence and Machine Learning (AI/ML) for Additive Manufacturing (AM)
AI Overview
This SBIR seeks AI/ML and digital twin tools to optimize additive manufacturing parameters and predict mechanical performance across the entire component lifecycle. The solution addresses rapid production of legacy parts by integrating material selection, build optimization, and performance prediction into a single, system-agnostic platform for Navy manufacturing.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
AM has enabled new designs and rapid fabrication. However, there are no automatic tools available to computationally link across build platform to part performance. This SBIR topic seeks to leverage AI/ML, digital twins, and process simulation to select optimal materials and manufacturing parameters to meet rapidly changing mission requirements. A user should be able to input material type, part geometry, and AM system details into the prototype tools to automatically generate optimized build pa...
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