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Featured researches published by Daniel Strang.


ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb | 2014

Integriertes Bauteildatenmodell für Industrie 4.0 - Informationsträger für cyber-physische Produktionssysteme

Reiner Anderl; Daniel Strang; André Picard; Alexander Christ

Kurzfassung Der Technologiefortschritt durch Industrie 4.0 ermöglicht die Nutzung von Bauteilen als Informationsträger und deren Vernetzung mit cyber-physischen Produktionssystemen. In dem Beitrag wird der Ansatz für ein integriertes Bauteildatenmodell für den Wertschöpfungsprozess Produktion vorgestellt. Die Basis bildet der Theta-Ansatz zur Repräsentation von Bauteilen als cyber-physische Objekte. Zudem wird eine exemplarische Anwendung im Rahmen von cyber-physischen Produktionssystemen beschrieben.


Archive | 2016

Dynamic, Adaptive Worker Allocation for the Integration of Human Factors in Cyber-Physical Production Systems

Daniel Strang; Nadia Galaske; Reiner Anderl

In this paper an adaptive, dynamic, and individualized worker allocation method is presented. The developed method is based on individual worker information, the new flexible cyber-physical production system, and the communication between the participants of such a production system. According to a communication scenario demands of a manufacturing step and a manufacturing station are compared with employee information. This provides the basis for a decision of the worker allocation. Workers are only allocated to manufacturing stations that match their qualifications and personal characteristics. For a better integration of human factors in CPPS, the job satisfaction of each worker also has to be taken into account. Therefore a satisfaction value for each manufacturing operation and manufacturing station is defined and part of the worker information. The aim of the research is to increase the productivity in the production system and the satisfaction of each individual worker.


world congress on engineering | 2015

Response Behavior Model for Process Deviations in Cyber-Physical Production Systems

Nadia Galaske; Daniel Strang; Reiner Anderl

Cyber-physical production systems are highly flexible systems that enable adaptive production processes. In these systems, all participants of the production process possess individual information about themselves and are equipped with sensors, actors, and communication interfaces. They can interact with each other and autonomously develop and execute process relevant decisions. For each component, a standard process sequence and alternative process sequences are defined. If a deviation in the standard process occurs during the production of an individual component, the process participants can interact with each other and autonomously define an appropriate response strategy and execute it by using actors of the participants and the intralogistics. Regardless of the deviation, the manufacturing and assembly process of individual components in cyber-physical production systems can still proceed. For this purpose, process deviations and the response behavior of cyber-physical production systems are analyzed, modeled, and simulated, to illustrate the benefits of cyber-physical production systems and to develop a process deviation management system for actual, physical production systems based on cyber-physical systems.


Archive | 2013

Functional Shape Elements Integrating Design and Manufacturing Knowledge

Volkmar Wenzel; Alexander Christ; Daniel Strang; Jan Tim Jagenberg; Reiner Anderl; Thomas Bornkessel

In the aviation industry, engine components of different families, variants and versions are characterized by a high level of geometrical, functional and procedural similarities and offer a high potential for rationalization. The reuse of existing knowledge is enabled in product development by part families and features libraries. The classification, administration and retrieval of these parts and features are mainly based on geometric properties, while functional aspects are not considered sufficiently. Nevertheless, in engine design the functional attribute is crucial: Two geometry elements with a nearly identical shape may be applied for completely different functions. A flange serves for transmitting torque as well as for sealing against hot air. In this paper functional shape elements integrating knowledge from both design and manufacturing and the method for their definition are introduced and their application is presented exemplarily.


ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | 2013

Automatic 3D Documentation Method for Manufacturing Processes

Daniel Strang; Anselm Schüle; Reiner Anderl

Product documentation plays an important role in product creation. Many parts of the documentation are used for manufacturing, assembly and quality assurance processes. Until today the leading document for manufacturing processes is the engineering drawing. With more complex product designs the clarity of the drawings decreases. Modern technologies enable the transition to a paperless manufacturing documentation without the need for expensive licenses. 3D-PDF technology offers a way to provide manufacturers with 3D-CAD models containing the appropriate product manufacturing information.In this paper a generative document that provides only the essential information for certain manufacturing steps is presented. 3D-PDF technology is used to present the results to the machinist. The recommended documentation provides two different views: the input and output status of a product at a specific manufacturing station. Those views are created automatically from the ERP database containing manufacturing knowledge of the product. The presented models are supplemented with general information, e.g. material, designer, general tolerances. The limitation on necessary information for only one manufacturing step at a time increases the comprehensibility of the product documentation and thus accelerates the manufacturing process and improves product quality.Copyright


Archive | 2014

Assembly Process driven Component Data Model in Cyber-Physical Production Systems

Daniel Strang; Reiner Anderl


Archive | 2015

Process Deviations in Cyber-Physical Production Systems

Nadia Galaske; Daniel Strang; Reiner Anderl


Archive | 2014

Konzept zum Einsatz digitaler Menschmodelle in Cyber-physischen Produktionssystemen

Nadia Galaske; Torsten Wagner; Daniel Strang; Reiner Anderl; Ralph Bruder


Archive | 2016

Kommunikationsgesteuerte cyber-physische Montagemodelle

Daniel Strang


Archive | 2014

Beschreibungsmethode für die Repräsentation cyber-physischer Produktionssysteme

Daniel Strang; Nadia Galaske; Reiner Anderl

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Reiner Anderl

Technische Universität Darmstadt

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Nadia Galaske

Technische Universität Darmstadt

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Alexander Christ

Technische Universität Darmstadt

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André Picard

Technische Universität Darmstadt

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Anselm Schüle

Technische Universität Darmstadt

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Jan Tim Jagenberg

Technische Universität Darmstadt

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Ralph Bruder

Technische Universität Darmstadt

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Torsten Wagner

Technische Universität Darmstadt

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