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14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020

作者： Schwarz, Christian Link, Patrick Ihlenfeldt, Steffen Drossel, Welf-Guntram Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Strasse 88 Chemnitz09126 Germany Institute of Mechatronic Engineering TU Dresden Helmholtzstrasse 7a Dresden01062 Germany Institute for Machine Tools and Production Processes TU Chemnitz Reichenhainer Strasse 70 Chemnitz09126 Germany

Due to the increasing digitalization, modern solutions are needed to work effectively with rapidly growing amounts of data in the automotive production. This paper shows two potential fields of application for the practical use of data reduction methods. In particular, the combination of Fourier-related transformation methods (e.g. discrete Fourier transform) and surrogate models for the useful 3D visualization of complex interrelationships is shown using the example of press hardening and deep drawing. © 2021 The Authors. Published by Elsevier B.V.

关键词： Finite element method

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Nonlinearity of balanced mems loudspeakers: Optical experiments and numerical modeling using time-harmonic signals 27

Nonlinearity of balanced mems loudspeakers: Optical experime...

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27th International Congress on Sound and Vibration, ICSV 2021

作者： Melnikov, Anton Michael, Stolz Wall, Franziska Kaiser, Bert Mrosk, Andreas Schuffenhauer, David Monsalve, Jorge Sergiu, Langa Schenk, Hermann A.G. Ehrig, Lutz Conrad, Holger Ahnert, Maik Schenk, Harald Fraunhofer Institute for Photonic Microsystems IPMS Dresden Germany Arioso Systems GmbH Dresden Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Dresden Germany Brandenburg Technical University Cottbus-Senftenberg BTU Micro and Nano Systems Cottbus Germany

ISBN: (纸本)9788378807995

A recently introduced novel actuator class, called the nano electrostatic drive (NED), uses the electrostatic actuation to generate large deflections of elastic structures. The NED principle was recently successfully applied to create an all silicon loudspeaker based on micro-electro-mechanical systems (MEMS) technology. Such MEMS audio transducers cover the full frequency range required for high fidelity audio applications. High fidelity audio reproduction also demands minimizing harmonic distortions substantially below 1 %. A major advance in this direction is combining the NED principle with a push-pull driving scheme in a balanced design (BNED), eliminating even harmonics. The practical implementation of a BNED design is however demanding. The nature of the Coulomb force, the impact of stress stiffening and the large deformations required for generating high sound pressures, to name a few aspects, potentially contribute to the harmonic distortion and therefore need advanced experimental methods and simulation models to allow for an apt design. In this paper, we report first results of an experimental technique, combining an optical microscope with a high-speed camera, capable of analyzing the local details of the actuator movement at frame rates of 50,000 frames per second. Dynamic features, such as the excitation of harmonics and intermodulations become clearly visible. These experimental results are then used to scrutinize and refine our multi physics FEM simulations. © "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. All rights reserved.

关键词： Loudspeakers

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Extending a factory-based discrete event simulator for parallel optimization of production and supply chain level

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Procedia CIRP 2025年 134卷 885-890页

作者： Omid Safari Marc Münnich Florian Zumpe Yen Mai Thi Pierre Grzona Mario Henrique Callefi Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Strasse 88 09126 Chemnitz Germany University of Applied Sciences Zwickau Faculty of Economics Kornmarkt 1 08056 Zwickau Germany Chemnitz University of Technology Professorship of Factory Planning and Intralogistics Str. der Nationen 62 09111 Chemnitz Germany Dresden University of Technology Institute of Mechatronic Engineering Helmholtzstraße 7a 01069 Dresden Germany

Factory-based discrete event simulation (FB-DES) tools are primarily used to model production systems at the factory level. However, integrating factory activities with supply network optimization has been challenging due to data barriers, leaving the application of FB-DES tools in supply chain (SC) contexts underexplored. This study addresses this limitation by enhancing the capabilities of FB-DES tools to integrate network and factory simulations within a single framework. By incorporating genetic algorithms (GAs) into the simulation model we present an approach to optimize production and supply networks based on key performance metrics such as production cost, time, and resource efficiency. The model features an automated scenario generation system using SimTalk methods and Python scripts to simulate and test potential production scenarios continuously. Additionally, Google Cloud Services (Google Maps API) are utilized for more accurate transportation time calculations, further improving network planning capabilities. This comprehensive simulation framework bridges the gap between factory and SC simulation methods, enhancing performance at both levels. This paper highlights the transformative potential of DES tools augmented with GAs and real-time data, paving the way for more resilient supply and production networks.

关键词： Discrete event simulation Optimization Genetic algorithm Supply chain Siemens Tecnomatix Plant Simulation Automated simulation process

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Filling the Semantics Gap in Industrial Communication: Middleware+ for an Internet of Production

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IFAC-PapersOnLine 2021年第1期54卷 432-437页

作者： Raphael Kiesel Arno Weiss Robert H. Schmitt WZL | RWTH Aachen University Aachen Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Fraunhofer Institute for Production Technology IPT Aachen Germany

To enable interoperable communication between enterprise software and industrial assets, the Internet of Production reference model suggests a single platform for routing and data access. This Middleware+ must not only act as a central message broker but also meet the challenge of incompatible data models. However, its exact capabilities remain blurred. We first compile relevant technologies and standards to integrate. Definition of requirements and a software architecture proposal follow. Considering the heterogeneous degree of connectivity within producing companies, we then sketch the path to implementation based on maturity levels. The result is a distributed information system architecture ensuring the rigorous use of semantic information models throughout the entire lifecycle of a product.

关键词： Internet of things flexible reconfigurable manufacturing systems modeling of manufacturing operations enterprise integration systems interoperability protocols information communication

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Increasing Resilience of Production Systems by Dynamic Context Modelling and Process Adaption

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Procedia CIRP 2023年 118卷 282-287页

作者： Tim Wunderlich Jonas Hansert Sandro Koch Robert Heinrich Thomas Schlegel Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Str. 88 09126 Chemnitz Germany Karlsruhe University of Applied Sciences Moltkestr. 30 76133 Karlsruhe Germany Karlsruhe Institute of Technology Am Fasanengarten 5 76131 Karlsruhe Germany Institute of Mechatronic Engineering Technische Universität Dresden 01062 Dresden Germany

The requirements for cyber-physical production systems (CPPS) grow steadily, leading to increased complexity of such systems. To address issues due to reconfiguration or failures, we present an approach to creating a context model of the CPPS components during runtime and to detect deviations from the planned production processes. Furthermore, we present a concept for modelling production processes that allows for dynamic process adaption during runtime. We then utilize this process adaption and the context model to cope with unforeseen failures and increase the resilience of the system. Finally, we evaluate the feasibility of our approach by applying it to an Industry 4.0 production system.

关键词： resilience cyber-physical production systems process adaption context awareness

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Laser structuring with DLIP technology of tungsten carbide with different binder content 12

Laser structuring with DLIP technology of tungsten carbide w...

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12th CIRP Conference on Photonic Technologies, LANE 2022

作者： Teicher, Uwe Baumann, Robert Bouraoui, Yasmine Achour, Anas Ben Lasagni, Andrés Fabián Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 Dresden01187 Germany Institute for Manufacturing Technology Technische Universität Dresden George-Baehr-Str. 3c Dresden01069 Germany Fraunhofer Institute for Material and Beam Technology IWS Winterbergstraße 28 Dresden01277 Germany Institute of Mechatronic Engineering Technische Universität Dresden Helmholtzstraße 7a Dresden01069 Germany

In machining, tool wear is one of the main influence factors for the resulting quality of the product. Several wear mechanisms have to be addressed to prevent unwanted deterioration of the tool integrity. For aluminium alloys, adhesion of the workpiece material on the cutting tool is one of the most challenging wear mechanisms. Engineering surface microtopographies has been proved as a convenient strategy to tackle this issue. Particularly, the direct laser interference patterning (DLIP) technique enables the integration of periodic structures on the micrometer or sub-micrometer scale. In this study the structuring of tungsten carbide with different cobalt content is presented. The interference of two laser beams leads to periodic line-like structures with a spatial period of 5.5 µm. A maximum structure depth of 2.2 µm is reached by controlling the processing parameters. Moreover, the wettability of the structured samples was analyzed by contact angle measurements with selected cooling lubricants, revealing a hydrophilic behavior with a decreased contact angle of 10°. This work gives an insight into the possibilities of structuring tungsten carbide materials with a picosecond laser source in combination with an innovative beam shaping setup from the point of view of an analysis to explore the formation of structured surfaces and their wetting behavior with cooling lubricants. © 2022 The Authors. Published by Elsevier B.V.

关键词： Tungsten carbide

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Evolutionary optimization of deep-drawing processes on servo screw presses with freely programmable force and motion functions 54

Evolutionary optimization of deep-drawing processes on servo...

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54th CIRP Conference on Manufacturing Ssystems, CMS 2021

作者： Kriechenbauer, Sebastian Müller, Peter Mauermann, Reinhard Drossel, Welf-Guntram Fraunhofer Institute for Machine Tools and Forming Technology IWU NOthnitzer Straße 44 Dresden01187 Germany Technische Universität Chemnitz Institut für Werkzeugmaschinen und Produktionsprozesse Professur Adaptronik und Funktionsleichtbau Chemnitz09107 Germany

Servo screw presses with freely programmable force and motion functions lead to innovative forming technologies for deep drawing of sheet metals. The advanced application potential of the machine type is mainly based on the accuracy and flexibility. Due to the increase of process parameters in deep-drawing processes with variable force and motion functions, the standards for method planning (consideration of machine properties, parameterization of the movement functions) in comparison to conventional deep-drawing processes increase. The high number of parameters motivates the aim: A systematic design of deep-drawing processes with free force and motion functions on servo presses based on computational science methods. In the context of this publication, the determination of optimal parameters (force and motion functions) for a deep-drawing process with superimposed vibrations on servo screw presses will be investigated. With the help of evolutionary optimization approaches a process-design for a deep-drawing process with superposition of low-frequency oscillations will be carry out. The results of the evolutionary optimization approaches are validated by experiments with cross die part. © 2021 The Author(s).

关键词： Optimization

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Robust entropy search for safe efficient Bayesian optimization 24

Robust entropy search for safe efficient Bayesian optimizati...

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Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence

作者： Dorina Weichert Alexander Kister Sebastian Houben Patrick Link Gunar Ernis Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS Sankt Augustin Germany VP.1 eScience Federal Institute for Materials Research and Testing BAM Berlin Germany University of Applied Sciences Bonn-Rhein-Sieg Sankt Augustin Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany and Institute of Mechatronic Engineering TUD Dresden University of Technology Dresden Germany

The practical use of Bayesian Optimization (BO) in engineering applications imposes special requirements: high sampling efficiency on the one hand and finding a robust solution on the other hand. We address the case of adversarial robustness, where all parameters are controllable during the optimization process, but a subset of them is uncontrollable or even adversely perturbed at the time of application. To this end, we develop an efficient information-based acquisition function that we call Robust Entropy Search (RES). We empirically demonstrate its benefits in experiments on synthetic and real-life data. The results show that RES reliably finds robust optima, outperforming state-of-the-art algorithms.

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Objective validation for short-term material flow simulation

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Procedia CIRP 2025年 134卷 526-531页

作者： Heiner Reinhardt Boran Bogdanow Roman Arnold Bastian Prell Philipp Klimant Frank Seifert Mahtab Mahdaviasl Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 09126 Chemnitz Germany Volkswagen Sachsen GmbH Kauffahrtei 47 09120 Chemnitz Germany Technical University of Applied Sciences Wildau Hochschulring 1 15745 Wildau Germany Professorship Virtual Technologies Hochschule Mittweida - University of Applied Sciences Technikumplatz 17 09648 Mittweida Germany Chemnitz University of Technology Straße der Nationen 62 09111 Chemnitz Germany Institute of Machine Tools and Control Engineering Technische Universität Dresden Helmholtzstraße 7a 01062 Dresden Germany

Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.

关键词： Digital Twin Simulation Quality Optimization Manufacturing system Control Analysis

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Impact of Cyber-physically enhanced manufacturing on the product requirement documentation in high-tech applications 18

Impact of Cyber-physically enhanced manufacturing on the pro...

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18th CIRP Conference on Modeling of Machining Operations, CMMO 2021

作者： Hänel, Albrecht Seidel, André Mehling, Carl Willy Dementyev, Alexander Kozak, Karol Seidel, Rudi Teicher, Uwe Hellmich, Arvid Drossel, Welf-Guntram Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Dresden01187 Germany Technische Universität Dresden Center for Evidence-based Healthcare Dresden01307 Germany Technische Universität Chemnitz Institute for Machine Tools and Production Processes Chemnitz09126 Germany Technische Universität Dresden Institute of Mechatronic Engineering Dresden01062 Germany

Conventional machining of high-tech parts and components is often associated with complex processes, long lead times and small to medium batch sizes. Obviously, there is great interest to shorten process development periods and increase process reliability. The transformation of conventional machines into cyber-physical production systems (CPPS) promises significant improvements here. In fact, CPPS allows real-time data acquisition and processing, enabling to target integrated process improvement and quality assurance. In the present work, a methodical procedure for structured data aggregation is introduced for a Cyber-physical enhanced machining process while being explained from a high-tech application point of view. This includes data generation, extraction, transfer and storage, data-consolidation, linkage, visualization and interpretation. Finally, the paper illustrates these aspects in terms of the effects on the "digital product requirements" in order to achieve the presented "analytics-ready" data model using the example of a high-tech application. © 2021 Elsevier B.V.. All rights reserved.

关键词： Data acquisition

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