GE, in partnership with Oak Ridge National Laboratory (ORNL), and PARC, a Xerox company, have been awarded >USD 1.3M project through ARPA-E’s DIFFERENTIATE (Design Intelligence Fostering Formidable Energy Reduction (and) Enabling Novel Totally Impactful Advanced Technology Enhancements) program to reduce the timeline for designing and validating 3D-printed components by as much as 65%.
On this project, researchers from GE and PARC will seek to incorporate all three (structural, thermal and fluid) properties, using AI to automatically generate surrogate models from additive producibility data and seamlessly integrate it with multi-physics design optimization techniques.
The team will use the Summit supercomputer at the Oak Ridge Leadership Computing Facility at ORNL to create these AI-based surrogates with unprecedented precision. In addition, ORNL’s High Flux Isotope Reactor will be used to analyze additively manufactured components and generate data necessary for training and evaluating AI-based models.
The program will culminate in the demonstration of a defect-free, high-performance additively manufactured multi-functional design capable of withstanding high temperatures and stresses with improved performance vs. conventional casting.