Led by Professor Aviral Shrivastava and Assistant Professor Ashif Iquebal in the School of Computing and Augmented Intelligence, part of the Fulton Schools, ASU researchers are seeking to solve long-standing metal 3D printing challenges by reliably predicting the internal structure and strength of printed components. They want to develop an AI-driven system capable of forecasting how a metal’s microstructure will evolve during the printing process. Aerospace, defense and energy industries in particular stand to benefit from the project that aims to significantly improve the performance of metal components. Researchers say the achievement could also potentially birth a new era of high-precision manufacturing. The National Science Foundation is funding the project.

See also: ASU researchers use AI to improve metal 3D printing accuracy and speed, Australian Manufacturing, June 17

ASU researchers enhance 316L stainless steel 3D printing with AI, VoxelMatters, June 14
ASU’s efforts are not only accelerating advanced manufacturing but also weaving AI directly into engineering education and industry applications.

Artificial Intelligence’s Evolution, AZ Family News, June 12
Ross Maciejewski, director of the School of Computing and Augmented Intelligence, discusses the latest advances in AI technology