A Novel Machine Learning Based Additive Manufacturing Printability Assessment Software Package

The U.S. Navy is interested in developing an artificial intelligence tool to analyze technical data and assess the suitability of components for additive manufacturing (AM). This technology should be able to provide a binary printability assessment of a part based on its technical data, and provide a �Can Print/ Should Printö analysis for a higher yield of impactful AM candidates. The technology package should also include printability evaluation labels for parts based on design, material, fabrication cost, and other technical data. To address this critical need, X-wave Innovations, Inc. (XII) is partnering with Lockheed Martin Inc. and Pennsylvania State University to propose the development of a novel machine learning-based AM printability (ML-AMP) assessment software package for rapidly evaluate printability on large technical datasets, and provide decision recommendations based on the �Can Print/ Should Printö analysis. The ML-AMP technology will employ both unsupervised and supervised machine learning algorithms to assess AM printability. Upon completion, the ML-AMP technology is expected to be applicable for intelligent, rapid and efficient printability assessment of both 3D and 2D technical data. We will work closely with our partners to actively transition and commercialize this technology for Navy engineering analysis applications and industry software applications.