5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CE2021★ 1 cited
Additive manufacturing process design with differentiable simulations
Mojtaba Mozaffar, Jian Cao
We present a novel computational paradigm for process design in manufacturing processes that incorporates simulation responses to optimize manufacturing process parameters in high-…
cs.AI2020★ 5 cited
Toolpath design for additive manufacturing using deep reinforcement learning
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. In this work, a reinforcement learning p…
cs.LG2019
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Arindam Paul, Mojtaba Mozaffar, Zijiang Yang +4
Additive Manufacturing (AM) is a manufacturing paradigm that builds three-dimensional objects from a computer-aided design model by successively adding material layer by layer. AM…