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作者： Banucu, Remus Albert, Jan Scheiblich, Christian Reinauer, Veronika Rucker, Wolfgang M. Hafla, Alexander Huf, Alexander Institute for Theory of Electrical Engineering University of Stuttgart 70569 Stuttgart Germany Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart 70174 Stuttgart Germany

A new design of a machine has been developed which performs contactless actuation in four axisthree translational and one rotationalwith high accuracy and controllability in 6-DOF. Remarkable on this concept is the contactless moving part, which enables completely free rotations on the z-axis. The components of the device are optimized especially regarding to the characteristics for micromachining. The optimization algorithm is based on the response surface approximation (RSA) combined with an evolution strategy (ES). The design and optimization process is supported by 3-D numerical simulations using the volume integral equation method (VIEM) coupled with the fast multipole method (FMM) for a fast and efficient computation. © 2011 IEEE.

关键词： Design

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Automated optimization in the design process of a magnetically levitated table for machine tool applications

Automated optimization in the design process of a magnetical...

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作者： Banucu, Remus Albert, Jan Reinauer, Veronika Scheiblich, Christian Rucker, Wolfgang M. Hafla, Alexander Huf, Alexander Institute for Theory of Electrical Engineering University of Stuttgart 70569 Stuttgart Germany Institute for Control Engineering Machine Tools and Manufacturing Units University of Stuttgart 70174 Stuttgart Germany

A novel magnetically levitated work piece table has been designed. This device is able to perform linear and rotational motions in four axes with high accuracy, so that different operations can be run on the work piece. Numerical simulations support the design of this table. Since the table's motion is idle in a certain range, simulations have to be run for a high number of potential positions. When optimizing the device's layout by varying different parameters, simulations are needed for all positions in which the device shows an extreme behavior. The numerousness of simulations leads to very high efforts concerning pre- and post-processing. Therefore, a new software is developed, which fully automates the whole design process consisting of drawing, meshing, calculating, and optimizing the magnetically levitated table. © 2006 IEEE.

关键词： machine tools

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Architecture for multilevel monitoring and control of energy consumption

Architecture for multilevel monitoring and control of energy...

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作者： Verl, Alexander Westkämper, Engelbert Abele, Eberhard Dietmair, Anton Jan, Schlechtendahl Friedrich, Jens Haag, Holger Schrems, Sebastian Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Institute of Industrial Manufacturing and Management University of Stuttgart Stuttgart Germany Department of Production Management Technology and Machine Tools Technical University of Darmstadt Darmstadt Germany

ISBN: (纸本)9783642196911

Guaranteeing energy efficient operation of production systems through a-priori optimization is an extremely complex task. We therefore propose an alternative approach where controls can decide locally if an energy reduction is possible and set components to energy-optimal states. In this paper we present results from the research group ECOMATION describing the information flow that generates energy control loops on different levels based on model information and an appropriate communication and control infrastructure. The communication mechanisms and control structures in production systems and machines are presented which allow using models automatically and coherently on all required levels of detail and abstraction.

关键词： Energy efficiency

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Increasing the energy efficiency in metal cutting manufacturing through a demand based coolant filtration 20

Increasing the energy efficiency in metal cutting manufactur...

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20th CIRP International Conference on Life Cycle engineering, LCE 2013

作者： Rahäuser, Raphael Klemm, Peter Verl, Alexander Kircher, Christian Graduate School of Excellence Advanced Manufacturing Engineering University of Stuttgart Germany Institute for Control Engineering of Machine Tools Manufacturing Units University of Stuttgart Germany Robert Bosch GmbH Germany

ISBN: (纸本)9789814451475

The coolant supply uses in typical applications of metal cutting manufacturing on average 50 % of the electrical energy. A main optimization option is the retrofit of demand-based control strategies in the supply system. Previous studies showed that a high saving potential remains in pressure filter plants for coolant cleaning. The plants are operated constantly on an excessive power level, independent on the coolant demand. A concept of a demand-based control is introduced and evaluated in simulations using the example of precoat filters. The analysis at an existing plant shows an energy saving potential of up to 73 %.

关键词： Energy efficiency

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Toward Automating the Composition of Digital Twins Within System-of-Systems 29

Toward Automating the Composition of Digital Twins Within Sy...

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29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Gill, Milapji Singh Zhang, Jingxi Wortmann, Andreas Fay, Alexander Institute of Automation Technology Helmut Schmidt University Hamburg Germany Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Germany Automation Ruhr University Bochum Germany

ISBN: (纸本)9798350361230

Cyber-Physical Production Systems necessitate efficient configuration and continuous reconfiguration to adapt to evolving requirements and shifting goals. This process involves integrating various system structures to derive new functions and behaviors. The concept of the Digital Twin, which allows for effective integration and testing, is instrumental in facilitating this task. However, a fundamental prerequisite is that Digital Twins of individual system components must be composed efficiently and in accordance with dynamic System-of-Systems. We address this challenge by introducing an approach for the automated horizontal and vertical composition of Digital Twins, aimed at minimizing manual intervention and enhancing adaptability. Therefore, a pipeline specifically designed for this goal is proposed, which includes the generation of new functions and behaviors. This approach is intended to provide a foundation for future research. © 2024 IEEE.

关键词： System of systems

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Automatic optimal motion generation for robotic manufacturing processes: Optimal collision avoidance in robotic welding

Automatic optimal motion generation for robotic manufacturin...

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2016 IEEE International Conference on Automation Science and engineering, CASE 2016

作者： Diaz, Julian R. Dietz, Thomas Ockert, Philip Kuss, Alexander Hagele, Martin Verl, Alexander Nobelstrasse 12 StuttgartD-70569 Germany Institute for Control Engineering of Machine Tools and Manufacturing Units ISW University of Stuttgart Seidenstrasse 36 Stuttgart70174 Germany

ISBN: (纸本)9781509024094

Optimal, efficient and intuitive robotic programming is still a challenge in robotic manufacturing and one of the main reasons why robots are not widely implemented in small and medium-sized enterprises (SME). In order to effectively and efficiently respond to the current product variability requirements, SMEs require easy and optimal programmable robotic manufacturing systems in order to achieve profitable and rapid changeover. To make up for this deficiency, this paper proposes a solution approach for computing optimal motions for manufacturing processes based on the interpretation of the manufacturing process and an automatic configuration of a state of the art sample-based algorithm, the Rapidly-exploring Random Tree RRT∗ which is provably asymptotically optimal, using as inputs the semantic and mathematical descriptions of the product, process and resource components. The approach is simulated on the example of collision avoidance for different scenarios in robotic welding revealing its functionality and outlining future potentials for the optimal motion generation for robotic manufacturing processes. © 2016 IEEE.

关键词： Collision avoidance

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Securing the Data Flow for Blockchain Technology in a Production Environment ⁎

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IFAC-PapersOnLine 2019年第10期52卷 125-130页

作者： Tobias Korb David Michel Oliver Riedel Armin Lechler Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart 70174 Stuttgart Germany

For several years, blockchain technology have been used and tested in various prototypes for production environments. The main focus of these approaches is the feasibility of different applications. It is usually simply assumed that data in a blockchain is stored immutably. However, the path from data generation to entry into a blockchain is usually neglected. Exactly this topic is discussed in this paper and a solution proposal for a secure data flow from the machine to the blockchain is presented. For this, the hardware and software architecture of the solution is shown, followed by measurements of the operational capability of the solution.

关键词： Blockchain Manufacturing Immutability Trust Microcontroller Digitization

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DMME: Data mining methodology for engineering applications – a holistic extension to the CRISP-DM model

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Procedia CIRP 2019年 79卷 403-408页

作者： Steffen Huber Hajo Wiemer Dorothea Schneider Steffen Ihlenfeldt Technische Universität Dresden Institute for Machine Tools and Control Engineering 01062 Dresden Germany

The value of data analytics is fundamental in cyber-physical production systems for tasks like optimization and predictive maintenance. The de facto standard for conducting data analytics in industrial applications is the CRISP-DM methodology. However, CRISP-DM does not specify a data acquisition phase within production scenarios. With this work, we present DMME as an extension to the CRISP-DM methodology specifically tailored for engineering applications. It provides a communication and planning foundation for data analytics within the production domain. We show the feasibility of our methodology for engineering applications within a case study in the field of work piece detection.

关键词： Data mining machine learning Manufacturing data management Data driven process optimisation

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Efficient Combination of Topology and Parameter Optimization

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Open Journal of Optimization 2014年第3期3卷 19-25页

作者： Yusheng Lin Zheng Sun Alexandru Dadalau Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Stuttgart Germany

This paper presents a combination method of Particle Swarm Optimization (PSO) and topology optimization. With this method a better result can be achieved compared with the sequential application of these two optimization methods. It inherits the ability in finding global optimum from PSO and also suits for discretized design domain. Some special schemes are used in order to provide higher computation efficiency. This method has only been tested with a convex optimization problem. The application in case of a concave problem will be a future study.

关键词： Topology Optimization Parameter Optimization Combination Optimization PSO Structure Design

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Edge-Cloud Automation of Manufacturing machines: Analysis of Potential Designs and their Impact on the machine Performance 19

Edge-Cloud Automation of Manufacturing Machines: Analysis of...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Giani, Marco Tasci, Timur Wiener, Patrick Verl, Alexander Robert Bosch GmbH Robert-Bosch-Campus 1 Renningen71272 Germany The Institute for Control Engineering of Machine Tools and Manufacturing Units Seidenstrae 36 Stuttgart70174 Germany

ISBN: (纸本)9798350320695

The migration of industrial automation systems to an edge-cloud hosted on factory premises can reduce the operation costs of a manufacturing line and increase its flexibility thanks to computation scalability and use of cloud-native operation concepts. One limiting factor in the realization of edge-cloud automation systems (ECASs) lies in its operation mode over the network. This may result in tangible delays between the industrial process and the edge-cloud. This paper analyzes how the network delay affects the process performance of an industrial machine on the base of the real-time requirements of the control functions hosted in the edge-cloud. For this purpose, two potential scenarios for the migration of the control system of a real machine to the edge-cloud are implemented. Each scenario features the offloading of more real-time critical control functions to the edge-cloud, which is then tested under increasing load on the network. The study derives classes of automation functions according to the real-time requirements of a potential offloading to the edge-cloud. Furthermore, it shows how complementary designs of an ECAS can affect the performance of the automated systems. In this sense, the results reveal that firm real-time functions can be offloaded to the edge-cloud without any significant loss of performance even if non-real-time networking components are used. On the base of these results, potentials applications domains of ECASs are discussed prospectively and future work is proposed. © 2023 IEEE.

关键词： Automation

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