The prestigious collaboration between Northwestern University and DMG MORI has been spotlighted with a significant recognition at the North American Manufacturing Research Conference (NAMRC) 54. The research paper titled “PI-TSAD: A Physically Informed Time-Series Anomaly Detection Framework for Real-Time Monitoring of Keyhole Collapse in Laser Powder Bed Fusion” clinched the Outstanding Paper Award and has been fast-tracked for publication in the Journal of Manufacturing Processes.
Led by PhD researcher Carter Taylor, with contributions from Carter Taylor, Garrett Mathesen, Kyle Mumm, Conor Porter, and Professor Jian Cao from Northwestern, and Fred Carter, DMG MORI’s Head of R&D, the study addresses a critical challenge in metal additive manufacturing: evaluating part quality in real time, without destructive testing.
The innovative framework was developed using high-speed X-ray images from experiments at Argonne National Laboratory’s Advanced Photon Source. By synchronising these images with coaxial monitoring signals, the team created a Physically Informed Time-Series Anomaly Detection framework. This framework integrates signal analysis and filtering with machine learning to detect defects in laser powder bed fusion builds, using less than 40 milliseconds of training data.
The implications of this research extend beyond academia, offering a credible approach for manufacturers to evaluate the integrity of parts during fabrication. This advancement underlines the commitment of DMG MORI to invest in applied research that bridges the gap between rigorous science and practical manufacturing solutions. The success at NAMRC 54 highlights the potential for this cutting-edge research to reshape quality assurance in additive manufacturing.
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