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Proceedings Papers

Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines

Matthias Schwab, Adéla Moravová, Christoph Angermann, Steinbjörn Jónsson, Christian Laubichler, Constantin Kiesling, Markus Haltmeier
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T01A004, October 16–19, 2022
Paper No: ICEF2022-89893
DOI: https://doi.org/10.1115/ICEF2022-89893
View Paper titled, Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines
Click here to open pdf in another window PDF for Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines
Topics: Artificial neural networks, Cylinders, Engines, Internal combustion engines, Wear, Reflection, Resolution (Optics), Automotive industry, Condition monitoring, Damage
Proceedings Papers

Experimental Investigation of the Influence of Engine Operating and Lubricant Oil Parameters on Sliding Bearing and Friction Behavior in a Heavy-Duty Diesel Engine

Matheus Marques da Silva, Constantin Kiesling, Christof Gumhold, Sven Warter, Andreas Wimmer, Stefan Schallmeiner, Gunther Hager
Proc. ASME. ICEF2021, ASME 2021 Internal Combustion Engine Division Fall Technical Conference, V001T02A001, October 13–15, 2021
Paper No: ICEF2021-66874
DOI: https://doi.org/10.1115/ICEF2021-66874
View Paper titled, Experimental Investigation of the Influence of Engine Operating and Lubricant Oil Parameters on Sliding Bearing and Friction Behavior in a Heavy-Duty Diesel Engine
Click here to open pdf in another window PDF for Experimental Investigation of the Influence of Engine Operating and Lubricant Oil Parameters on Sliding Bearing and Friction Behavior in a Heavy-Duty Diesel Engine
Topics: Bearings, Condition monitoring, Diesel engines, Engines, Friction, Internal combustion engines, Lubricating oils