Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Richard Breimann"'
Publikováno v:
Machines, Vol 12, Iss 10, p 674 (2024)
This contribution explores the development of a digital twin for industrial valves, with a focus on mitigating the costly consequences of valve malfunctions in large-scale industrial environments. Industrial valves are critical components in fluid an
Externí odkaz:
https://doaj.org/article/11d849545fda451980f74d2bf87d29fb
Autor:
Eckhard Kirchner, Thomas Wallmersperger, Thomas Gwosch, Johannes D. M. Menning, Julian Peters, Richard Breimann, Benjamin Kraus, Peter Welzbacher, Jan Küchenhof, Dieter Krause, Erich Knoll, Michael Otto, Benjamin Muhammedi, Stephanie Seltmann, Alexander Hasse, Günter Schäfer, Armin Lohrengel, Stefan Thielen, Yvo Stiemcke, Oliver Koch, Arthur Ewert, Thomas Rosenlöcher, Berthold Schlecht, Artem Prokopchuk, Ernst‐Friedrich Markus Henke, Felix Herbst, Sven Matthiesen, David Riehl, Ferdinand Keil, Klaus Hofmann, Florian Pape, Dennis Konopka, Gerhard Poll, Tobias Steppeler, Rico Ottermann, Folke Dencker, Marc C. Wurz, Steffen Puchtler, Thao Baszenski, Martin Winnertz, Georg Jacobs, Benjamin Lehmann, Karsten Stahl
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 4, Pp n/a-n/a (2024)
Abstract This contribution summarizes the current state of research regarding so‐called sensor‐integrating machine elements as an enabler of digitalization in mechanical engineering and——if available—their application in industry. The focus
Externí odkaz:
https://doaj.org/article/1507e9a770044e00bb58008ce1c9cac3
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 7, Iss 5, p 157 (2023)
This paper focuses on the electrochemical joining of additively manufactured components using simulation-based and experimental methods. The study investigates the influence of cover screens on the filling behavior of the joining zone. Experimental m
Externí odkaz:
https://doaj.org/article/3ec2a560296b449994f337a233ba6d0a
Publikováno v:
Forschung im Ingenieurwesen. 87:479-488
The benefit of Digital Twins depends to a large extent on the quality of the sensor data provided. In many cases, sensor failures are only detected late in operation which can lead to serious consequences. For this reason, one approach to reduce the