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IEEE International Workshop on Factory Communication Systems (WFCS)

作者： Sebastian Friedl Christian von Arnim Armin Lechler Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

ISBN: (数字)9781728152974

ISBN: (纸本)9781728152981

Open Platform Communications Unified Architecture (OPC UA) is a relevant technology in the field of machine-to-machine communication that defines data transport protocols and standardizes information modeling. Instead of defining a generalized world model, domain-specific models enable interoperability. These domain-specific models can be developed and released as Companion Specifications. More than 40 Companion Specifications are currently in development or already released. In this paper the current approaches to generate an OPC UA information model or an OPC UA Companion Specification are analyzed. A new modeling tooling based on the Eclipse Modeling Framework (EMF) is presented. This tooling demonstrates the potential of a model-driven approach for the creation of the information model and the structured part of the descriptive text document of a Companion Specification.

关键词： OPC UA OPC UA Companion Specification M2M model-driven development Eclipse Modeling Framework Industry 4.0 machine to machine originating point code information models Companions Model-driven development Specifications text documents ECLIPSES Information Modelling

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Reinforcement learning approach to vibration compensation for dynamic feed drive systems

arXiv

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arXiv 2020年

作者： Gulde, Ralf Tuscher, Marc Csisza, Akos Riedel, Oliver Verl, Alexander Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart70174 Germany

Vibration compensation is important for many domains. For the machine tool industry it translates to higher machining precision and longer component lifetime. Current methods for vibration damping have their shortcomings (e.g. need for accurate dynamic models). In this paper we present a reinforcement learning based approach to vibration compensation applied to a machine tool axis. The work describes the problem formulation, the solution, the implementation and experiments using industrial machine tool hardware and control system. Copyright © 2020, The Authors. All rights reserved.

关键词： machine tools

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Adaptive PWM Modulation for an Increased Energy Efficiency of Industrial Drives

Adaptive PWM Modulation for an Increased Energy Efficiency o...

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International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM

作者： Torben Henke Florian Frick Armin Lechler Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

ISBN: (数字)9781728170190

ISBN: (纸本)9781728170206

Switching losses in inverters for industrial electric drives have a noticeable impact on their energy consumption and lifetime. In order to fulfill the accuracy requirements of electric drives for production equipment, a high switching frequency is typically used. This results in high switching losses which are proportional to the switching frequency. However, a high accuracy is not always required. Therefore, a method for adapting the switching frequency of the drive inverter during runtime when high accuracy is not required is presented in this paper. The method includes the identification of operating states of the machine tool, automatic calculation of the controller parameters and strategies for changing the PWM frequency during runtime. Experimental results validate this novel approach.

关键词： Pulse width modulation Switching frequency Frequency control machine tools Switches Inverters

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TSN-based Converged Industrial Networks: Evolutionary Steps and Migration Paths

TSN-based Converged Industrial Networks: Evolutionary Steps ...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Christian von Arnim Mihai Drǎgan Florian Frick Armin Lechler Oliver Riedel Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

The digitalization of production is a strategic goal in the automation industry, though visions and industrial reality remain far apart. A key issue is that today's segmented communication architecture based on fieldbus networks does not fulfill the future requirements. Converged networks connecting IT and OT systems while maintaining deterministic guarantees for real-time communication are required instead. Time Sensitive Networking (TSN) in the context of IEEE 802.1 Ethernet is a key enabling technology for converged networks. The transition from current communication architectures towards converged networks will not be a disruptive change, but rather an evolutionary process involving many steps. In this paper, an analysis of different dimensions of this transition process and their evolutionary steps is presented. Potential migration paths from current to future production architectures and resulting intermediate brownfield scenarios are identified and analyzed with a focus on their communication architectures.

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A control model for downstream compensation strategy in multi-stage manufacturing systems of complex parts

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IFAC-PapersOnLine 2019年第13期52卷 1473-1478页

作者： Magnanini, Maria Chiara Eger, Florian Reiff, Colin Colledani, Marcello Verl, Alexander Dipartimento di Meccanica Politecnico di Milano Milano Italy Institute for Control Engineering of Machine Tools and Manufacturing Units ISW University of Stuttgart Stuttgart Germany

The capability of delivering high-quality products with the required service level is a key factor for competitiveness in manufacturing companies. Zero-Defect Manufacturing control strategies aim at ensuring these targets grounding on the combination of knowledge extraction from the process and advanced statistical tools. This work presents the approach proposed within the EU-funded project ForZDM for selected use-cases in different industrial sectors characterized by multi-stage manufacturing systems and high-value complex parts. The control model is proposed and the overall control strategy is presented with respect to the state-of-the-art solutions, in order to show a comprehensive methodology integrating the joint product-system quality-oriented approach. © 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Adaptive control systems Defects Statistical mechanics Statistical process control Adaptive control Compensation strategy High quality products Manufacturing companies Manufacturing control strategies Multi stage manufacturing systems Variation models Zero defects

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FabOS: Towards an open, distributed, real-time-capable, and secure operating system for production

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Procedia CIRP 2021年 104卷 962-967页

作者： Martin Lukas Daniel Stock Akos Csiszar TRUMPF Werkzeugmaschinen GmbH & Ko. KG Johann-Maus-Straße 2 71254 Ditzingen Germany Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstraße 12 70569 Stuttgart Germany Institute for Control Engineering of Machine Tools and Manufacturing Units Seidenstr. 36 70174 Stuttgart Germany

Software is rapidly becoming more important for the manufacturing sector. To address the need for software solutions in this sector, various organizations have published reference architectures, standards and implementations. The research project FabOS aims at building an open, distributed, secure and real-time capable software backbone for the manufacturing industry. This paper details the requirements for such a system and analyzes and compares several existing commercial and academic reference architectures, standards and implementations for Industry 4.0 applications. The goal is to identify the gaps between the already existing technology and the manufacturing industry’s need for the factories of the future.

关键词： Architecture IIoT cyber-physical systems IaaS PaaS

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Beyond Model-Based Systems engineering towards Managing Complexity 30

Beyond Model-Based Systems Engineering towards Managing Comp...

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30th CIRP Design on Design, CIRP Design 2020

作者： Masior, Jonathan Schneider, Benjamin Kürümlüoglu, Mehmet Riedel, Oliver Fraunhofer Institute for Industrial Engineering IAO Nobelstrasse 12 Stuttgart70569 Germany University of Stuttgart Institute for Human Factors and Technology Management IAT Nobelstrasse 12 Stuttgart70569 Germany University of Stuttgart Institute for Control Engineering of Machine Tools and Manufacturing Units ISW Seidenstrasse 36 Stuttgart70174 Germany

Systems engineering domain lacks in methodologies for integration of development artefacts (e.g. requirements, functions, geometrics, or behavior) and enterprise models (e.g. organizational structures, processes, or IT infrastructure). Especially the rising complexity driven by integrated product service systems, smart services, systems of systems and cyber physical systems (CPS) leads to a new paradigm further on called Advanced Systems engineering (ASE). It empowers enterprises to cope with such complex developments. The employment of ASE technologies in design and manufacturing enterprises requires a reachability of technical information and continuity along vertical and horizontal dimensions. A widely used approach to implement this is Model-based System engineering (MBSE). This paper introduces a solution to achieve the goals of manufacturing excellence as well as complexity management by identifying and analyzing relevant requirements and possible approaches for an innovative simulation enabling and executable modelling language, the so-called advanced MBSE+. © 2017 The Authors. Published by Elsevier B.V.

关键词： Cyber Physical System

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Part Variation Modeling to Avoid Scrap Parts in Multi-stage Production Systems

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Procedia CIRP 2022年 107卷 851-856页

作者： Florian Eger Stefan Oechsle Colin Reiff Maria Chiara Magnanini Philipp Tempel Armin Lechler Alexander Verl Marcello Colledani Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Seidenstrasse 36 Stuttgart 70174 Germany Politecnico di Milano Department of Mechanical Engineering Via la Masa 1 Milan 20156 Italy Laboratoire des Sciences du Numérique de Nantes (LS2N) UMR CNRS 6004 École Centrale de Nantes 1 Rue de la Noë 44321 Nantes France

Manufacturing systems for today's products are complex systems requiring a variety of different processes in order to be able to manufacture all necessary part features. This also applies to the production of rotating components, which have experienced increasing demand at the latest due to the growth in mobility. As in almost every manufacturing process, quality-reducing defects can occur due to deviations for example tool wear, which cannot always be avoided. Those, that have accumulated from previous process steps can cause the occurrence of superimposed defects. This leads to complex relationships between quality defects in the end product and the numerous parameters of the manufacturing processes. To remain competitive, production must be optimized in order to identify defects as early as possible, as well as their dependencies and variation patterns. The paper presents an approach to identify and model part variations within multi-stage production systems. Subsequently, based on a detected deviation, a downstream compensation strategy can be proposed at an early stage of the manufacturing process, which uses the capability of the overall system to fundamentally eliminate rejects.

关键词： Zero-defect Manufacturing Defect Compensation Multi-stage Production System Downstream Compensation

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Human-centric assembly in smart factories

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CIRP Annals 2025年

作者： Wang, Lihui Gao, Robert X. Krüger, Jörg Váncza, József Department of Production Engineering KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical and Aerospace Engineering Case Western Reserve University Cleveland United States Institute for Machine Tools and Factory Management Technical University Berlin Germany Laboratory of Engineering and Management Intelligence Institute for Computer Science and Control Hungary

Assembly in future smart factories needs to address three challenges, including human centricity, sustainability, and resilience. Conventional approaches for automation in assembly have reached a bottleneck in terms of operation automomy, leaving various tasks to continued manual labour by human operators. To ease the burden on humans both physically and intellectually, human-centric assembly enhanced by augmented robots, cognitive systems, mixed reality and collaborative intelligence, assisted by thought-driven brain robotic controls, provides a promising solution. Within the context, this keynote provides an in-depth analysis of the state of human-centric assembly and identifies potentially fruitful research directions in future smart factories. © 2025 The Author(s)

关键词： Factory automation

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Shop-Floor Service Connector - a message-oriented Middleware Focused on the Usability and Infrastructure Requirements of SMEs Developing Smart Services

Shop-Floor Service Connector - a message-oriented Middleware...

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IEEE International Conference on Knowledge Innovation and Invention (ICKII)

作者： Matthias Milan Strljic Chris Vollmann Oliver Riedel Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Fraunhofer Institute for Industrial Engineering IAO Stuttgart Germany

ISBN: (数字)9781728193335

ISBN: (纸本)9781728193342

Digitalization causes an intensive change in the way software components are developed within the shop floor. The blending of technology domains with current automation technologies leads to high integration efforts with a low degree of reusability. This problem is further reinforced by a diverging system understanding within individual domains and the use of heterogeneous development platforms. Existing solutions from the field of cloud computing are applied in the context of the Industrial Internet of Things (IIoT). However, these systems do not fulfill the requirements of user-friendliness, resource demands, performance, and infrastructure, which is why they are only partially suitable for the current needs of small and medium-sized enterprises (SMEs). For this purpose, the communication middleware Shop-Floor-Service-Connector (SFSC) is developed. Based on the broker-less messaging system ZeroMQ, an overlaid SFSC protocol is implemented. Subsequently, an example scenario is used to illustrate the usage of the system. Finally, the next steps for further developing the middleware are presented.

关键词： Complexity theory Technological innovation Middleware Quality of service Protocols Computational modeling Epidemics

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