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18th International Stuttgart Symposium on Automotive and Engine Technology, 2018

作者： Strljic, Matthias Milan Tasci, Timur Schmidt, Alexander Korb, Tobias Riedel, Oliver Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Germany

ISBN: (纸本)9783658211936

Industry 4.0 (I4.0) offers the opportunity to gain a detailed insight into the current production process by means of an increased networking of production plants. This crosslinking makes it possible to record the entire state of a production plant and to trace it within a later analysis. The aim of this analysis is to optimize the monitored production process resulting from analyses of I4.0 value-adding services [1, 2]. Figure 1 schematically visualizes the information flow for such a scenario. Data from the various levels of production are collected, stored in a data storage facility and evaluated by a valueadding service pipeline. The results are integrated back into the production process as optimizations. In this work, first the requirements for such a value-adding service pipeline are determined, which results in a total of five requirements and is abbreviated with R1 to R5. Subsequently, a suitable system architecture from the Big Data area is selected in order to meet the previously established requirements and thus implement a value-adding service pipeline. The requirements R1 - R5 and the system architecture will then flow into a data model for data acquisition and transmission within the shop floor of the production. © Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018.

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Reaching Zero-Defect Manufacturing by Compensation of Dimensional Deviations in the Manufacturing of Rotating Hollow Parts

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Procedia Manufacturing 2020年 51卷 388-393页

作者： F. Eger C. Reiff P. Tempel M.C. Magnanini D. Caputo A. Lechler A. Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Seidenstrasse 36 70174 Stuttgart Germany Delft University of Technology Department of Precision and Microsystems Engineering Mekelweg 2 2628 CD Delft The Netherlands Politecnico di Milano Department of Mechanical Engineering Via la Masa 1 20156 Milan Italy GKN Aerospace Engine Systems Norway Kirkegårdsveien 45 N-3616 Kongsberg Norway

In many sectors such as the aerospace industry, the manufacturing of rotating components is based on multi-stage production systems to achieve the complex requirements of high quality products. Even in the presence of Industry 4.0 and the increasing connectivity, these systems are very prone to failure due to the high level of potential influences of both the system and the products, ultimately leading to defects. The project "ForZDM", funded by the EU under Horizon2020, envisions reducing scrap rate by avoiding and compensating defects at an early stage thus guaranteeing a high quality product. This paper presents an approach using an existing manufacturing line to compensate the dimensional deviations of an inner contour of a turbine shaft at an early stage. Based on measurements of the inner contour, a new rotation axis for the subsequent manufacturing processes is calculated in order to avoid unbalances at the end-of-line control. Different algorithms are developed and integrated in a web-based application to find an optimal rotation axis under consideration of the to-be-manufactured outer contour in an operator-friendly usage on the shop floor. The application is connected with the measurement system and the subsequent CNC machine which enables automatic execution and data transfer.

关键词： manufacturing process zero-defect manufacturing error compensation unbalance multi-stage downstream compensation

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Model for the Client-Oriented Selection of Additive Manufacturing Infrastructure based on Information gathered from Production Networks

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Procedia CIRP 2019年 84卷 322-327页

作者： Colin Reiff Frederik Wulle Florian Strieg Oliver Riedel Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Seidenstr. 36 70174 Stuttgart Germany Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) Nobelstraße 12 70569 Stuttgart Germany

A significant limitation for the use of additive manufacturing (AM) processes in an industrial context is the uncertainty about possible manufacturing conditions, costs and resulting part properties related to the used machines and materials. Since a large range of processes, machines, and materials are available on the market, the choice of optimal configuration for a user-specific part is often challenging. To simplify the development and design processes and to support the respective user in production planning, an architecture is presented, which allows an estimation of manufacturing conditions of AM technologies. The system consists of a database, which contains data about available machines, materials and additional information for quality assurance. For this purpose, defined parameters of machines registered in the network are directly retrieved from the machine control via OPC-UA communication standard. Subsequently, in a logic layer, the gathered information is matched with the requested part geometry and with additional customer requirements. As a result, the user can assess the influences of his decisions regarding design, material and machine selection at an early phase of the product development process, which ensures the basic feasibility and the planned production as well as the estimation of quality and costs.

关键词： Additive Manufacturing Decision making Manufacturing network Production planning

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Cloud Manufacturing: An Automated Literature Review

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Procedia CIRP 2019年 86卷 251-256页

作者： Carsten Ellwein Sascha Neff Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Seidenstr. 36 D-70174 Stuttgart Germany University of Stuttgart Kepplerstr.7 D-70174 Stuttgart Germany

Due to digitalization, virtualization and Industry 4.0, the structure of the manufacturing industry is changing. One result of this development is cloud manufacturing, a new manufacturing paradigm. The number of new literatures related to this topic is increasing tremendously. Therefore, cloud manufacturing degenerates into a collective term, with a wide variety of definitions and research areas emerging. On the one hand, this paper deals with an automated statistical evaluation of the literature on cloud manufacturing. On the other hand, the main research areas of cloud manufacturing are identified by a statistical evaluation of the literature keywords from three selected databases. By means of natural language processing and machine learning methods, the keywords are automatically evaluated and grouped into clusters to obtain the main research areas.

关键词： Automated literature review cloud manufacturing

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Theoretical aspects of impedance controllers’ modularization 50

Theoretical aspects of impedance controllers’ modularizatio...

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50th International Symposium on Robotics, ISR 2018

作者： Fodor, F. Verl, A. Brisan, C. Department of Mechatronics and Machine Dynamics Technical University of Cluj-Napoca Cluj-Napoca Romania Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (纸本)9781510870314

This research paper depicts a modularization concept using a generic and parametrized model with purpose of development of impedance controllers for haptic interfaces designed with different topologies. Therefore, parametrization and modularization of several components within control scheme were necessary. Unambiguously, these parametrized components and modules need to be only configured for the requirements of haptic interface. The paper verifies the presented approach of generic model by using its customization for 1 and 6 Degrees of Freedom. © VDE VERLAG GMBH · Berlin · Offenbach

关键词： Haptic interfaces

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Ensemble Kalman filtering for force model identification in milling

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Procedia CIRP 2019年 82卷 296-301页

作者： Max Schwenzer Sebastian Stemmler Muzaffer Ay Thomas Bergs Dirk Abel Laboratory for Machine Tools and Production Engineering (WZL) RWTH Aachen University Campus-Boulevard 30 52074 Aachen Germany Institute of Automatic Control RWTH Aachen University Campus-Boulevard 30 52074 Aachen Germany

Mechanistic force models are popular to describe the force in cutting technology. Process simulation, process optimization, and process control rely on the accuracy of these models. Standard identification techniques are not capable of identifying a mechanistic force model on-line and in hard real-time. However, it is necessary to adjust the model to increasing tool wear, e.g. in a model predictive controller for force control in milling. This work introduces the ensemble Kalman filter to the field of force model identification in cutting technology - enabling for the first time a continuous parametrization of mechanistic force models. The approach shows high accuracy and fast convergence in spite of the presence of measurement noise. The novel approach is validated statistically using 1000 random initial distributions and different ensemble sizes. The ideal, simulated force signals is augmented with different levels of noise (signal-to-noise ratios of 50, 15, five). Nevertheless, the filter converges within three, eight, and 32 revolutions of the tool respectively.

关键词： Ensemble Kalman filter force model model identification mechanistic force model milling

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Design concept of an automated solid waste selection system 50

Design concept of an automated solid waste selection system

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50th International Symposium on Robotics, ISR 2018

作者： Boanta, Catalin Margaritescu, Mihai Verl, Alexander Brisan, Cornel Department of Mechatronics and Machine Dynamics Technical University of Cluj-Napoca Romania National Institute of Research and Development in Mechatronics and Measurement Technique Bucharest Romania Institute for Control Engineering of Machine Tools and Manufacturing Units Stuttgart Germany

ISBN: (纸本)9781510870314

The selective disposal of the solid waste represents one of the modern problems of the middle and low income cities around the globe, a problem that generates environmental hazards if it is not properly managed. Since the selective collection of the waste is still far to be achieved on a large scale, an automated selection of the waste could overcome the environmental problems generated by landfill sites. This paper presents the concept of an automated solid waste selection system composed by several sub-systems: a transportation network (a set of conveyors), an image recognition system to identify the type of transported solid waste and a waste robot disposal system that selectively grabs the unsorted waste items. Besides this, a waste disposal algorithm is developed as task planning for the robot disposal system. © VDE VERLAG GMBH · Berlin · Offenbach

关键词： Solid wastes

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Comparison of 3D shape reconstruction methods for fiber-optic sensors 50

Comparison of 3D shape reconstruction methods for fiber-opti...

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50th International Symposium on Robotics, ISR 2018

作者： Riehs, Christopher Kleiner, Bernhard Schneider, Urs Verl, Alexander Graduate School of Excellence advanced Manufacturing Engineering Stuttgart Germany Fraunhofer Institute for Manufacturing Engineering and Automation IPA Stuttgart Germany Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Germany

ISBN: (纸本)9781510870314

A comparison of two methods for the 3D shape reconstruction of a new kind of fiber-optic sensor using Fiber Bragg Gratings (FBG) is presented. The sensors, developed at the Fraunhofer Heinrich-Hertz-institute, consists of FBGs written in the cladding of a standard 125 µm fiber. In this way, simple and cost efficient bending sensors can be produced. Shape reconstruction strategies using a single fiber, that was actively moved along an path, which shape was reconstructed, and with a fiber, that was resting, were investigated. The achievable accuracy of both methods was compared with an experimental setup. © VDE VERLAG GMBH · Berlin · Offenbach

关键词： Fiber optic sensors

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Configuration of Application Layer Protocols within Real-time I4.0 Components

Configuration of Application Layer Protocols within Real-tim...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Frederick Prinz Michael Schoeffler Andreas Eckhardt Armin Lechler Alexander Verl Corporate Sector Research and Advance Engineering Robert Bosch GmbH Renningen Germany Engineering Automation Systems Bosch Rexroth AG Erbach Germany Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

Within the context of Industry 4.0, future production systems are expected to support mass customization up to lot size one. In order to realize the individual production processes, a changeable and consistent integration of assets from different manufacturers is required. Therefore, the concept of I4.0 components was developed. Every I4.0 component provides a so-called asset administration shell, i.e. a standardized virtual representation of its capabilities. This paper focuses on real-time I4.0 components that require a deterministic communication with bounded low-latency in-between. In contrast to non-real-time I4.0 components, Ethernet (IEEE 802.3) is enhanced by the new real-time communication technology Time-Sensitive Networking (TSN, IEEE 802.1). The basic configuration of TSN connections within the asset administration shell was already addressed by previous work. In this work, we present the configuration of application layer protocols using the example of OPC UA Publish/Subscribe (PubSub). More precisely, we outline the underlying concept and define additional submodels for the asset administration shell of real-time I4.0 components. Finally, we discuss the advantages of the presented approach in terms of changeability.

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Model-based method for condition monitoring and diagnosis of compressors

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Procedia CIRP 2018年 72卷 1321-1326页

作者： Tim Engelberth Daniel Krawczyk Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units Seidenstr. 36 70174 Stuttgart Germany

In process industries, compressor plants provide process mediums with certain flows and pressures. Due to corrosion, wear and fouling, the plant behavior may change throughout the entire life cycle of several decades. This paper presents a new model-based method for condition monitoring and diagnosis of turbo compressors, in which the characteristic operating behavior is mainly influenced by fouling. The real-time capable method is implemented on a plant control unit and validated by Hardware-in-the-Loop simulation. Furthermore, the diagnostic result is used to automatically adapt the controller behavior. The presented approach increases the original system’s resource efficiency without reducing its robustness.

关键词： Diagnosis Condition monitoring Modelling Compressor Fouling

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