DMG MORI awarded DOE grant for AM process optimisation
DMG MORI Federal Services has been selected by the US Department of Energy (DOE) for a $400,000 award under the High-Performance Computing for Manufacturing (HPC4Mfg) programme, part of DOE’s High-Performance Computing for Energy Innovation initiative. The funding supports a collaboration between DMG MORI USA, Hoffman Estates, Illinois, and Oak Ridge National Laboratory (ORNL), Oak Ridge, Tennessee, to optimise laser Additive Manufacturing processes for energy-critical components.
The award is part of a broader $4.8 million investment by DOE’s Advanced Materials and Manufacturing Technologies Office and Industrial Technologies Office to fund 12 high-performance computing projects aimed at strengthening US manufacturing competitiveness.
The DMG MORI Federal Services–ORNL project will focus on developing an automated, laser-specific process optimisation tool tailored for DMG MORI’s Laser Beam Powder Bed Fusion (PBF-LB) machines. The effort will leverage the computational power of DOE’s national laboratory supercomputing resources to improve manufacturing performance, repeatability, and cost-efficiency in AM.
Additive Manufacturing enables the production of complex, customised components that are critical to energy, aerospace, and industrial applications. However, variability in process parameters can introduce uncertainties in part quality, mechanical performance, and production costs. By applying advanced modelling, artificial intelligence, and digital simulation techniques, the project aims to reduce these uncertainties and accelerate qualification of energy-critical components.
“This collaboration allows us to pair DMG MORI’s advanced laser powder bed fusion platforms with ORNL’s world-class high-performance computing and materials science expertise,” said Fred Carter, Head of Research and Development for DMG MORI Federal Services. “Together, we will develop data-driven tools that enhance process control, improve repeatability, and strengthen the competitiveness of US manufacturing.”
The project is funded through DOE’s Office of Critical Minerals and Energy Innovation. By harnessing high-performance computing to address AM challenges, the collaboration supports national priorities in energy innovation, supply chain resilience, and advanced manufacturing leadership.
