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IEEE Central America and Panama Convention (CONCAPAN)

作者： Matthias Milan Strljic Oliver Riedel Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

Cloud Manufacturing (CM) offers the possibility to use and provide production services within an as-a-service concept. The CM paradigm enables more efficient resource utilization in the context of industry 4.0 through fully automated order processing. Existing architecture solutions, however, follow a central platform approach with a global neutral data model. As a consequence, the individuality of companies within the CM is not given any room for expression and symbioses between companies are not established. The result is a disadvantage particularly for SMEs, which generate their competitive advantage from innovative production technologies and symbiotic connections with customers and other SMEs. The focus of Collective Cloud Manufacturing (CCM) is the preservation of these characteristics, in which an over-approximation of costs through the integration of production-related simulations is to be reduced and the data security of the customer is to be enhanced. So in this work, a data model for an existing concept for CCM is presented. The requirements for the data model and the runtime behavior are defined. Subsequently, the state of the art of existing models in the domain of CM is presented. The developed data model is presented with an application evaluation.

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IFAC-PapersOnLine 2020年第2期53卷 2292-2298页

作者： M. Schwenzer G. Visconti M. Ay T. Bergs M. Herty D. Abel Laboratory for Machine Tools and Production Engineering (WZL) RWTH Aachen University Campus-Boulevard 30 52074 Aachen Germany Institute of Geometry and Applied Mathematics (IGPM) RWTH Aachen University Templergraben 55 52056 Aachen Germany Institute of Automatic Control RWTH Aachen University Campus-Boulevard 30 52074 Aachen Germany

This paper extends the ensemble Kalman filter (EnKF) for inverse problems to identify trending model coefficients. This is done by repeatedly inflating the ensemble while maintaining the mean of the particles. As a benchmark serves a classic EnKF and a recursive least squares (RLS). As an example serves the identification of a force model in milling, which changes due to the progression of tool wear. For a proper comparison, the true values are simulated and augmented with white Gaussian noise. The results demonstrate the feasibility of the approach for dynamic identification while still achieving good accuracy in the static case. Further, the inflated EnKF shows a remarkably insensitivity on the starting set but a less smooth convergence compared to the classic EnKF.

关键词： Ensemble Kalman filter Recursive least squares Manufacturing Milling Parameter identification Identification Time-invariant identification

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From monolith to microservices: A container-based en 61131-3 architecture 48

From monolith to microservices: A container-based en 61131-3...

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48th International Conference on Computers and Industrial engineering, CIE 2018

作者： Tasci, T. Walker, M. Riedel, O. Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

Internet-of-Things is gaining importance in the field of industrial automation. Furthermore, for long-term success in dynamic markets producing companies need more and more agile and flexible production systems. Therefore, Programmable Logic controllers (PLCs) as main parts of automation in production systems also need to become more flexible. Today’s PLCs are monolithic and therefore can only deployed as a single piece of software. In this paper, we present a container-based real-time-capable modularized control architecture that uses messaging for inter-module communication and introduces a hardware abstraction layer, in order to increase flexibility, reusability, portability and maintainability. With a benchmark performed on a prototypical implementation, we validate the feasibility of the proposed architecture for practical real-time automation tasks. © 2018, Curran Associates Inc. All rights reserved.

关键词： Containers

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Production planning and control systems – Breakage in connectivity make them fit to fit altering conditions 18

Production planning and control systems – Breakage in conne...

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2018 International Conference on Computers in Management and Business, ICCMB 2018

作者： Ellwein, Carsten Elser, Anja Riedel, Oliver Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (纸本)9781450364232

Since the rise of production planning and control systems those systems were subject to changes and further development due to new requirements and possibilities. This necessitates to continuously keep track of current requirements and to guarantee that they are fulfilled. In this paper upcoming requirements in the context of Industry 4.0 and especially the cloud manufacturing paradigm have been elaborated on production planning and control systems. It could be shown that current realizations do not fulfil these demands, especially not connectivity demands striven by the fourth industrial revolution. From this finding several requirements for an up to date production planning and control system are derived. © 2018 Association for Computing machinery.

关键词： control systems

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A data model for data gathering from heterogeneous IoT and Industry 4.0 applications

A data model for data gathering from heterogeneous IoT and I...

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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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