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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Gregor Thiele Arne Fey David Sommer Jörg Krüger Fraunhofer Institute for Production Systems and Design Technology IPK Berlin Germany Weierstrass Institute for Applied Analysis and Stochastics Berlin Germany Institute for Machine Tools and Factory Management Technische Universität Berlin Berlin Germany

ISBN: (数字)9781728198095

ISBN: (纸本)9781728198101

Hysteresis-controlled devices are widely used in industrial applications. For example, cooling devices usually contain a two-point controller, resulting in a nonlinear hybrid system with two discrete states. Dynamic models of systems are essential for optimizing such industrial supply technology. However, conventional system identification approaches can hardly handle hysteresis-controlled devices. Thus, the new identification method Sparse Identification of Nonlinear Dynamics (SINDy) is extended to consider hybrid systems. SINDy composes models from basis functions out of a customized library in a data-driven manner. For modeling systems that behave dependent on their own past as in the case of natural hysteresis, Ferenc Preisach introduced the relay hysteron as an elementary mathematical description. In this new method (SINDyHybrid), tailored basis functions in form of relay hysterons are added to the library which is used by SINDy. Experiments with a hysteresis controlled water basin show that this approach correctly identifies state transitions of hybrid systems and also succeeds in modeling the dynamics of the discrete system states. A novel proximity hysteron achieves the robustness of this method. The impacts of the sampling rate and the signal noise ratio of the measurement data are examined accordingly.

关键词： Autoregressive processes Magnetic hysteresis Biological system modeling Nonlinear dynamical systems Hysteresis Relays Data models

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Application of industrial methods in engineering education 21

Application of industrial methods in engineering education

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21st International Conference on Engineering and Product design Education, E and PDE 2019

作者： Kind, Simon Dybov, Anton Buchholz, Christian Stark, Rainer Department of Industrial Information Technology Technische Universität Berlin Germany Fraunhofer Institute for Production Systems and Design Technology Germany

ISBN: (纸本)9781912254057

Modern trends and challenges like an increased level of product complexity and reduced time for development require new, improved skills for future employees. Potential industrial methods based on early project planning, interdisciplinary product solutions and a systematic preparation for production are researched and presented within this paper. Future employees need to understand the processes and methods of product implementation and production. Especially the last stages of product development require additional attention, since these are the most challenging phases regarding integration and implementation starting from initial prototyping up to a functional product. Industrial feedback proves, that these skills are not taught in an appropriate extend by todays academic education, concluding that todays’ graduates are not well prepared for tomorrow’s job challenges. Following the gaps in today’s education a student project lecture was developed, that teaches and applies industry-related development methods addressing advanced master students. Focus of the related student project includes a constant review of project management practices in industrial design reviews, as well as the gathering and definition of requirements. In addition to this, development methods for functional prototypes are taught and applied. Especially the actual creation of prototypes is addressing the product integration and testing phase. To present the above-mentioned methods and an innovative testing environment, two successfully applied use cases are described within this paper. These are covering the entire development process starting from early requirements gathering, accompanied by model-based system engineering. © 2019 Institution of Engineering designers, The design Society. All rights reserved.

关键词： systems engineering

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SyProLei - A systematic product development process to exploit lightweight potentials while considering costs and CO2 emissions

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Procedia CIRP 2022年 109卷 520-525页

作者： Jerome Kaspar Kristian König Johannes Scholz Steven Quirin Sven Kleiner Jürgen Fleischer Hans-Georg Herrmann Michael Vielhaber :em engineering methods AG Rheinstr. 97 64295 Darmstadt Germany Institute of Engineering Design Saarland University Campus E2 9 66123 Saarbrücken Germany wbk Institute of Production Science Karlsuhe Institute of Technology Kaiserstraße 12 76131 Karlsruhe Germany Chair for Lightweight Systems Saarland University Campus E3 1 66123 Saarbrücken Germany Fraunhofer Institute for Nondestructive Testing IZFP Campus E3 1 66123 Saarbrücken Germany

In lightweight design, developers are used to face the conflicting objectives of functional fulfillment, economic performance, and sustainability. Against this background, however, a clearly structured approach for the satisfied use of specific lightweight engineering methods within the product development is still missing. Thus, this contribution deals with the fundamental conception and first implementation of a systematic development methodology covering the disciplines of mechanics, electrics/electronics and software just like the focus on an integrated view on product, production and material aspects. To ensure an application-specific manifestation of the product development process for three exemplary use cases from small and medium-sized enterprises but also large corporations in the area of prosthetics, bike construction and plant engineering, the individually developed methods and tools are first generalized in order to make them adaptable to a wide variety of industries. As a result, one lightweight-specific method or tool (e.g., function mass analysis, “PPM solution correlator“ or “2D layout & weight drafting”) is introduced in more detail for all stages of the technically extended RFL(T)P approach derived from model-based systems engineering (MBSE).

关键词： lightweight design product development process engineering methods system engineering

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Potentials and challenges of Smart Products and related business models

Potentials and challenges of Smart Products and related busi...

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2020 IEEE International Conference on Engineering, technology and Innovation, ICE/ITMC 2020

作者： Wang, Wei Min Lunnemann, Pascal Klemichen, Antje Bluher, Till Stark, Rainer Technische Universität Berlin Department for Machine Tools and Factory Management Pascalstr. 8-9 Berlin10587 Germany Fraunhofer-Institute for Production Systems and Design Technology Department for Virtual Product Creation Pascalstr. 8-9 Berlin10587 Germany

ISBN: (纸本)9781728170374

Smart products are increasingly penetrating the market. They extend cyber-physical systems with Internet-based services and thus enable customer-specific adaptations and updates of products in the field. For industrial companies, smart product offering bear the potential to expand their product portfolios and increase their sales. In this article, the results of a survey among German engineers are presented that evaluated the actual state of adoption and future expectations regarding smart products in German industrial companies. The results show that the majority of German companies have recognized the potentials of smart products and also introduced such offerings in their portfolio. In this context, it is also expected that the product-related usage data will lead to a more individual communication with the customer. On the other hand, there is a high degree of uncertainty among companies regarding the adaptation of new business models, cooperation with an increasing number of partners, data management and the necessary technological infrastructure. These uncertainties can result in companies leaving potentials unexploited and opening up opportunities for new market participants. In summary, there seems to be a remaining gap between the willingness to abandon traditional business models and the expectations and strategies for future value creation. © 2020 IEEE.

关键词： Cyber Physical System

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Using anomaly detection and classification to support failure recovery of plants

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AIP Conference Proceedings 2024年第1期2989卷

作者： Niklas Grambow Lisa-Marie Fenner Oliver Heimann Jörg Krüger Department for Process Automation and Robotics Fraunhofer Institute for Production Systems and Design Technology Pascalstr. 8-9 10587 Berlin Germany Institute for Machine Tools and Factory Management Technische Universität Berlin Pascalstr. 8-9 10587 Berlin Germany

Failure recovery of machines is a great challenge for the plant operator. Usually, a stopped plant is quite costly and has to be put back into operation fast. In that case, experienced personnel are essential. Only their knowledge and broad understanding of the interaction of the various components allows a reliable identification of the underlying problem and enables a successful recovery. Digitization can help to address this problem. Knowledge can be stored and shared digitally across plants, locations and companies. In addition, an ever-increasing amount of machine and process data is digitally available which can further support the problem-solving process. We present a new approach to machine maintenance that relies on machine learning to help identify the underlying technical problem that led to the machines error. In contrast to predictive maintenance, our system is employed reactively and focusses on the identification and classification of singular failures rather than a predictive monitoring of the plants state. To support the operator in fault recovery, we use anomaly detection to identify the deviations in the data of the processes prior to the fault. This allows the system to generate hints as to where to look for the underlying cause of the error and helps the technician make an educated guess. Additionally, an error classification algorithm also allows troubleshooting information to be linked directly to the data. Thereby, when an error reoccurs, the knowledge gained in the first occurrence is immediately made available to the operator through information linked to the error *** this article, we present the concept behind our anomaly detection system and the required software architecture to combine the different data sources. Furthermore, we discuss the results from an experiment that simulates an optical part inspection using a camera based system, where we introduce different errors into the process and are able to demonstrate the capability

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Industrial Robot Programming Methods: A Scoping Review

Industrial Robot Programming Methods: A Scoping Review

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Oliver Heimann Jan Guhl Institute for Production Systems and Design Technology Fraunhofer Gesellschaft Berlin Germany Industrial Automation Technology Group Technische Universität Berlin Berlin Germany

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Easy-to-use programming methods for robotic manufacturing systems are a key element in enabling a wider audience to benefit from increasing automation. This paper provides an overview of current programming methods for industrial mating operations. More specifically, the review focuses on programming methods for welding and assembly tasks. While welding is mainly concerned with the exact definition of the free space trajectories, assembly tasks revolve around the contact with the environment. Thus, the two tasks at hand not only represent two of the most common robotic applications, but also two distinct groups of operations that place very different demands on the programming interface.

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Open-loop linearization for piezoelectric actuator with inverse hysteresis model 36

Open-loop linearization for piezoelectric actuator with inve...

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36th International Conference on Vibroengineering

作者： Riepold, Markus Maslo, Semir Han, Ge Henke, Christian Trächtler, Ansgar Fraunhofer Institute for Mechatronic Systems Design IEM Paderborn Germany Fraunhofer Institute for Production Technology IPT Aachen Germany Heinz Nixdorf Institute Control Engineering and Mechatronics Group Paderborn Germany

For developing an active workpiece holder, piezo actuators are used to apply compensation forces and displacements. These actuators suffer from hysteresis effects which impair accuracy and performance. The focus of this work is the modelling of the actuator’s hysteresis and establishing a corresponding inverse model to compensate the effect in an open-loop approach. The model, on the basis of easy to calculate sigmoid functions, is shown to yield good linearization of the actuator’s behavior. © 2019 Markus Riepold, et al.

关键词： Hysteresis

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production in the loop – the interoperability of digital twins of the product and the production system

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Procedia CIRP 2021年 99卷 561-566页

作者： Anna Vogt Philipp Heiner Schmidt Sebastian Mayer Rainer Stark Audi AG Auto-Union-Str. 1 85045 Ingolstadt Germany Technical University of Berlin Chair Industrial Information Technology Pascalstraße 8-9 10587 Berlin Germany Volkswagen AG Berliner Ring 2 38436 Wolfsburg Germany Technical University of Kaiserslautern Institute for Virtual Product Engineering Gottlieb-Daimler-Straße 44 67663 Kaiserslautern Germany Technische Hochschule Ingolstadt Institute for Innovative Mobility Esplanade 10 85049 Ingolstadt Germany Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstraße 8-9 10587 Berlin Germany

The Internet of Things (IoT) era facilitates new possibilities at the interface between the lifecycle of the product and the manufacturing disciplines allowing to add value and meet growing legal requirements. This work presents use cases from the automobile industry which are analyzed in order to derive requirements for data exchange. The analysis of the use cases shows clearly that we need to focus on the instance level for this purpose. This means that both, a specific unit of the product and the production system, must be considered. As a solution approach, a communication loop is proposed bringing the Digital Twin concept in a new field of usage. The key aspect of the proposed solution is the direct intercommunication between the Digital Twins of the product being produced as a Cyber-Physical System (CPS) and the production resources as Cyber-Physical production systems (CPPS). This solution enables the aggregation of production-related data within the products Digital Twin and therefore promotes maximal transparency throughout engineering disciplines, phases of the product lifecycle and the whole supply chain.

关键词： Digital twin Digital shadow Digital twin lifecycle Cyber-physical system Intelligent production systems Smart production

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Effectivity of Learning Factories to convey problem solving competencies

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Procedia Manufacturing 2020年 45卷 228-233页

作者： Felix Sieckmann Natalie Petrusch Holger Kohl Fraunhofer Institute for Production Systems and Design Technology Pascalstraße 8-9 10587 Berlin Germany Technische Universität Berlin Pascalstraße 8-9 10587 Berlin Germany

The ability to solve problems in a structured way is an essential competence of people in a factory, from the shopfloor operator to the management level. This is already the case for established lean management approaches and is gaining relevance with the increasing complexity of production systems through progressive automation and digitisation. As learning factories have shown to be an effective approach for learning and teaching production-related topics in a practical manner, a learning module for the A3 problem solving methodology was implemented at an industrial learning factory. In order to continuously improve the learning and teaching productivity, the effectiveness of different approaches to convey the A3 methodology was investigated with over 100 participants. The results show that while the setting of learning factories can be used in a beneficial way for learning the A3 methodology, additional advantages regarding learning as well as process performance can be generated by including real und current content from the learner‘s specific workplaces.

关键词： Learning Factory Lean production systems Systematic Problem Solving A3 Method

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Implementation with agile project management approaches: Case Study of an Industrie 4.0 Learning Factory in China

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Procedia Manufacturing 2020年 45卷 234-239页

作者： Julia-Anne Scholz Felix Sieckmann Holger Kohl Fraunhofer Institute for Production Systems and Design Technology Pascalstraße 8-9 10587 Berlin Germany Technische Universität Berlin Pascalstraße 8-9 10587 Berlin Germany

With the “Made in China 2025” strategy, the People’s Republic of China intends to achieve a turnaround from a cheap production location to a technology pioneer, notably through digital technologies, which necessitates qualification of employees in Chinese production companies. To facilitate this, an Industrie 4.0 Learning Factory is being set up in Jiangsu Province, China. Against the background of a rapidly developing state of the art as well as cultural peculiarities of the Chinese target group, classical project management approaches quickly reach their limits. In order to address continuously changing framework conditions, approaches for an ambidextrous project management as well as agile technical-didactic development of the Learning Factory have been established. This enabled the early adaptation of the Learning Factory to the concrete target group of learners and faster realization of a train-the-trainer concept as well as the efficient execution of repetitive processes with rigid requirements.

关键词： agile project management ambidexterity ambidextrous organization Industrie 4.0

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