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Start date: 2000Institute: search.filters.UBSInstitut.Institut für Steuerungstechnik der Werkzeugmaschinen und FertigungseinrichtungenInstitute: search.filters.UBSInstitut.Fakultätsübergreifend / Sonstige Einrichtung

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Now showing 1 - 10 of 12
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    iWindow - Intelligentes Maschinenfenster
    (Düsseldorf : VDI Verlag, 2018) Sommer, Philipp; Verl, Alexander; Kiefer, Manuel; Rahäuser, Raphael; Müller, Sebastian; Brühl, Jens; Gras, Michael; Berckmann, Eva; Stautner, Marc; Schäfer, D.; Schotte, Wolfgang; Do-Khac, Dennis; Neyrinck, Adrian; Eger, Ulrich; Sommer, Philipp
    Das Verbundforschungsprojekt iWindow: Intelligentes Maschinenfenster beschäftigte sich mit der visuellen Unterstützung von Maschinenbedienern an Werkzeugmaschinen. Diese konnten bisher nur auf wenige bis keine Systeme, die sie bei ihren täglichen Aufgaben direkt an der Werkzeugmaschine unterstützen, zurückgreifen. Das Forschungsprojekt verbindet reale und virtuelle Welt in der Werkzeugmaschine durch Technologien wie Virtual und Augmented Reality, digitaler Zwilling, Simulation und Mehrwertdienste. Durch Nutzung jeweils für die aktuelle Arbeitssituation passender Dienste, werden Mitarbeiter befähigt, sich an die steigende Individualisierung der Produkte und die flexiblere Produktion anzupassen. Kunden und Geschäftspartner werden durch die Möglichkeit eigene mehrwertgenerierende Dienste zu entwickeln und anderen Anwendern zur Verfügung zu stellen in den Wertschöpfungsprozess eingebunden. Diese Publikation beleuchtet die im Rahmen des Forschungsprojekts erarbeiteten Ergebnisse hinsichtlich für ein intelligentes Maschinenfenster benötigter Technologien und Entwicklungen.
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    Monitoring of tool and component wear for self-adaptive Digital Twins : a multi-stage approach through anomaly detection and wear cycle analysis
    (2023) Ströbel, Robin; Bott, Alexander; Wortmann, Andreas; Fleischer, Jürgen
    In today’s manufacturing landscape, Digital Twins play a pivotal role in optimising processes and deriving actionable insights that extend beyond on-site calculations. These dynamic representations of systems demand real-time data on the actual state of machinery, rather than static images depicting idealized configurations. This paper presents a novel approach for monitoring tool and component wear in CNC milling machines by segmenting and classifying individual machining cycles. The method assumes recurring sequences, even with a batch size of 1, and considers a progressive increase in tool wear between cycles. The algorithms effectively segment and classify cycles based on path length, spindle speed and cycle duration. The tool condition index for each cycle is determined by considering all axis signals, with upper and lower thresholds established for quantifying tool conditions. The same approach is adapted to predict component wear progression in machine tools, ensuring robust condition determination. A percentage-based component state description is achieved by comparing it to the corresponding Tool Condition Codes (TCC) range. This method provides a four-class estimation of the component state. The approach has demonstrated robustness in various validation cases.
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    Framework for holistic online optimization of milling machine conditions to enhance machine efficiency and sustainability
    (2024) Bott, Alexander; Anderlik, Simon; Ströbel, Robin; Fleischer, Jürgen; Worthmann, Andreas
    This study addresses the challenge of the optimization of milling in industrial production, focusing on developing and applying a novel framework for optimising manufacturing processes. Recognising a gap in current methods, the research primarily targets the underutilisation of advanced data analysis and machine learning techniques in industrial settings. The proposed framework integrates these technologies to refine machining parameters more effectively than conventional approaches. The research method involved the development of the framework for the realisation and analysis of measurement data from milling machines, focusing on six machine parts and employing a machine learning system for optimization and evaluation. The developed and realised framework in the form of a software demonstrator showed its applicability in different experiments. This research enables easy deployment of data-driven techniques for sustainable industrial practices, highlighting the potential of this framework for transforming manufacturing processes.
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    Energy efficiency in ROS communication : a comparison across programming languages and workloads
    (2025) Albonico, Michel; Cannizza, Manuela Bechara; Wortmann, Andreas
    Introduction: The Robot Operating System (ROS) is a widely used framework for robotic software development, providing robust client libraries for both C++ and Python. These languages, with their differing levels of abstraction, exhibit distinct resource usage patterns, including power and energy consumption–an increasingly critical quality metric in robotics.
    Methods: In this study, we evaluate the energy efficiency of ROS two nodes implemented in C++ and Python, focusing on the primary ROS communication paradigms: topics, services, and actions. Through a series of empirical experiments, with programming language, message interval, and number of clients as independent variables, we analyze the impact on energy efficiency across implementations of the three paradigms.
    Results: Our data analysis demonstrates that Python consistently demands more computational resources, leading to higher power consumption compared to C++. Furthermore, we find that message frequency is a highly influential factor, while the number of clients has a more variable and less significant effect on resource usage, despite revealing unexpected architectural behaviors of underlying programming and communication layers.
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    Simulative Optimierung der Steuerungsparameter eines Materialflusslayouts mit Bandförderern
    (2020) Kienzlen, A.; Weißen, J.; Verl, A.; Göttlich, S.
    Moderne Fertigungssysteme sind komplexe, umfangreiche Systeme. Eine sorgfältige Planung des gesamten Fertigungssystems ist erforderlich, um langfristig effektiv zu produzieren und Gewinne zu erzielen. Bei der Layoutplanung dieser Systeme muss berücksichtigt werden, dass der Materialfluss zwischen einzelnen Stationen zuverlässig und reibungslos funktioniert. Die virtuelle Inbetriebnahme (VIBN) ermöglicht es, das Zusammenspiel von Anlagenlayout und Steuerungssystem, welches das optimale Design der Anlage wesentlich beeinflusst, frühzeitig zu testen. Konzeptionsfehler und Engpässe, die die Performance beeinflussen, können im Voraus erkannt und behoben werden. Für die VIBN wird die reale Anlage durch ein Simulationsmodell ersetzt, um im Zusammenspiel mit dem realen Steuerungssystem Tests durchführen zu können. In dieser Arbeit wird ein Vorgehensmodell entworfen, anhand dessen die Leistungsfähigkeit von Maschinen und Anlagen mit besonders hohem Materialflussaufkommen analysiert und das Layout bewertet werden kann. Wichtige Leistungskenngrößen wie die Taktzeit und Auslastung einzelner Bestandteile des Fertigungssystem können hinsichtlich ihrer Realisierbarkeit überprüft werden. Durch Testläufe an einem Simulationsmodell des Materialflusses werden Fehler und Engpässe, welche die Performance der Anlage negativ beeinflussen, frühzeitig erkannt. Zur Verbesserung des Layouts wird dabei ein Flussmodell basierend auf einer Erhaltungsgleichung eingesetzt. Das neue Simulationsmodell ermöglicht insbesondere die Simulation großer Mengen an Materialien bei gleichzeitig geringer Berechnungsdauer. Für die Validierung der Ergebnisse werden Parameter festgelegt, die als Indikator für die Leistung von Materialflusssystemen dienen und in einer ingenieurstechnischen Simulation gemessen werden können. Das enge Zusammenspiel verschiedener Simulationen ermöglicht die Validierung und effiziente Verbesserung des Layouts.
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    Software-defined value stream process systems
    (2025) Goebels, Max; Schulte, Alexander; Georgi, Patrick; Heimberger, Fabian; Schwalm, Jannik; Liewerenz, Oliver; Schäfer, Adrian; Fleischer, Jürgen; Verl, Alexander; Möhring, Hans-Christian; Schulze, Volker; Matthiesen, Sven; Parspour, Nejila
    The increasing volatility of the markets and the growing demand for customized products are challenges for future production to ensure maximum flexibility and adaptability. This paper introduces software-defined value stream process systems (SVPSs), a novel approach that extends the concept of software-defined manufacturing into autonomous, reconfigurable production systems. SVPSs establish a cyber-physical chain that links product features to requirements, enabling their fulfillment through modular machine and process hardware. A modular construction kit of individually combinable hardware and associated software modules is presented. These modules are coordinated via a digital process chain that enables holistic simulations, optimizations, and planning based on a Digital Twin. This system is based on software-defined manufacturing but extends it into autonomous reconfigurable machines. By enabling virtual planning and commissioning of entire production lines, the SVPS concept provides an efficient and adaptable solution to meet the demands of volatile markets.
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    Digital twin and the asset administration shell : an analysis of the three types of AASs and their feasibility for digital twin engineering
    (2025) Zhang, Jingxi; Ellwein, Carsten; Heithoff, Malte; Michael, Judith; Wortmann, Andreas
    Engineering digital twins is a software and systems engineering challenge for which no systematic approach exists. The Asset Administration Shell is becoming a popular foundation for digital twins in Industry 4.0 and it comes in different types that support the engineering of different kinds and parts of digital twins. We investigate how it supports realizing common requirements for digital twins. To this end, we investigate how each of the three Asset Administration Shell types can contribute to the systematic engineering of specific components of digital twins. Therefore, we analyzed popular definitions and conceptual models of digital twins and extracted requirements that at least two of them share. We compare the resulting requirements with Asset Administration Shells of different types and conclude with open challenges in the implementation of digital twins with this technology. This supports practitioners and researchers in identifying the most suitable type of Asset Administration Shell for their specific digital twin engineering needs and identifies gaps worthy of future research toward a systematic engineering of digital twins.
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    Model-driven engineering for digital twins : a systematic mapping study
    (2025) Lehner, Daniel; Zhang, Jingxi; Pfeiffer, Jérôme; Sint, Sabine; Splettstößer, Ann-Kathrin; Wimmer, Manuel; Wortmann, Andreas
    Digital twins (DTs) are proliferating in a multitude of domains, including agriculture, automotive, avionics, logistics, manufacturing, medicine, smart homes, etc. As domain experts and software experts both have to contribute to the engineering of effective DTs, several model-driven engineering (MDE) approaches have been recently proposed to ease the design, development, and operation of DTs. However, the diversity of domains in which MDE is currently applied to DTs, as well as the diverse landscape of DTs and MDE applications to DTs, makes it challenging for researchers and practitioners to get an overview of what techniques and artifacts are already applied in this context. In this paper, we shed light on the aforementioned aspects by performing a systematic mapping study on the application of MDE automation techniques, i.e., model-to-model transformation, code generation, and model interpretation, in the context of DTs as well as on the characteristics of DTs including the twinned systems to which these techniques are applied in different domains. We systematically retrieved a set of 189 unique publications, of which 66 were selected for further investigation in this paper. Our results indicate that the distribution of employed MDE techniques (136 applications of automation techniques) is balanced between the different techniques, but there are significant variations for different DT types. With respect to the different domains, we found that even though applications are available in many domains, a small number of domains currently dominate applications of MDE to DTs, i.e., more than half of included papers are in the manufacturing and transportation domains.
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    Practical aspects of cross-vendor TSN time synchronization using IEEE 802.1AS
    (2025) Brunner, Kilian; Frick, Florian; Ostertag, Martin; Lechler, Armin
    Multi-vendor interoperability is essential for the stable operation, scalability, and successful market adoption of Time-Sensitive Networking (TSN). Conformance tests address protocol conformance. Informal interoperability testing and plugfests help to improve the quality and interoperability of specific implementations, and of the underlying international standard documents. This paper presents three findings related to time synchronization in a multi-vendor TSN system. Differing interpretations of released standards and inconsistent setting of relevant system parameters resulted in undesirable behavior impacting the performance of the complete TSN system. The findings relevant to the standards themselves have been submitted to IEEE as maintenance items or are already being considered in work in progress at IEEE. In addition to interoperability testing, the importance of consistent system engineering and industry-specific TSN profiles are identified as important ingredients for successful implementation of TSN-based systems.