Solve Technology and Research, Inc. SBIR Phase II Award, April 2022

The proposed innovation delivers a product quality assurance approach that integrates an automated particle shape, size and color measurement tool with a machine learning architecture, that enables use of recycled powder without compromising fatigue life. The machine learning algorithm consists of a two-fold module – first, imaging the particle size, shape and color and correlate to the recycled powder characteristics and secondly, enabling a high throughput testing tool to establish the correlation of recycled powder impact on component fatigue life. This integrated approach can be applied for any additive manufacturing process, machine, or material, thus enabling a broad applicability to the overall emerging AM industry.