Toolpath design for additive manufacturing using deep reinforcement learning

no code implementations • 30 Sep 2020 • Mojtaba Mozaffar, Ablodghani Ebrahimi, Jian Cao

Toolpath optimization of metal-based additive manufacturing processes is currently hampered by the high-dimensionality of its design space.

reinforcement-learning Reinforcement Learning (RL)

A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes

no code implementations • 28 Jul 2019 • Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok Choudhary, Jian Cao, Ankit Agrawal

As the process for creating an intricate part for an expensive metal such as Titanium is prohibitive with respect to cost, computational models are used to simulate the behavior of AM processes before the experimental run.

BIG-bench Machine Learning