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Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring2023 Resources Conservation and Recycling article Engineering Fault Detection and Control Systems Open access
Nils Kroell, Abtin Maghmoumi, Tobias Dietl, Xiaozheng Chen, Bastian Küppers, Tabea Scherling, +2 more
36citations -
Multivariate Analysis of Scrap Web Sheared Surface Roughness for Punch Wear Indicators in Sheet-Metal Forming2026 Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena article Engineering Metal Forming Simulation Techniques Open access
Jiyoung Moon, Alexander Frigge, Philipp Niemietz, Tim Herrig, Thomas Bergs
0citations -
Identification of Indicators for the Assessment of Technological Risks within Technology Selection5citations
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Optical process monitoring in Laser Powder Bed Fusion using a recoater-based line camera2021 Additive manufacturing article Engineering Additive Manufacturing Materials and Processes Open access
Felix Gabriel Fischer, Niklas Birk, Leroy Rooney, Lucas Jauer, Johannes Henrich Schleifenbaum
35citations -
Uncertainty Quantification in the Directed Energy Deposition Process Using Deep Learning-Based Probabilistic Approach2022 Key engineering materials article Engineering Additive Manufacturing Materials and Processes Open access
Thinh Quy Duc Pham, Truong‐Vinh Hoang, Seifallah Fetni, Laurent Duchêne, Hoang Son Tran, Anne Marie Habraken
4citations -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data2026 International Journal of Material Forming article Engineering Additive Manufacturing Materials and Processes Open access cited by 1 patent
Medad C.C. Monu, Éanna McCarthy, Abhilash Puthanveettil Madathil, Josiah Cherian Chekotu, Irina Ilic, Merve Nur Doğu, +14 more
4citations -
A new approach for parameter optimization of parallel mechanisms based on Stackelberg game theory and Gaussian process regression3citations