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Subjective validation for short-term material flow simulation

Procedia CIRP 2025年 134卷 562-566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 frequently applied to support decision-making in production planning and control. However, manual modeling can be time-consuming and error-prone. Hence, numerous studies propose the automation of model generation and synchronization to overcome these challenges. However, in this context, validation techniques are rarely addressed. Therefore, we introduce a subjective validation technique for short-term material flow simulation based on a coherent methodology for data acquisition and visualization. The methodology is utilized to evaluate the outcome of an approach for computerized model generation and simulation. By means of an industrial use case, we hypothesize the causes for the deviation between the operation of a manufacturing system and the simulation of its generated virtual companion.

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

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Data Acquisition Framework for spatio-temporal analysis of path-based welding applications

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Procedia CIRP 2024年 130卷 1644-1652页

作者： Georgij Safronov Heiko Theisinger Vasco Sahlbach Christoph Braun Andreas Molzer Anabelle Thies Christian Schuba Majid Shirazi Thomas Reindl Albrecht Hänel Philipp Engelhardt Steffen Ihlenfeldt Peter Mayr BMW AG Petuelring 130 80788 München Germany Technical University of Munich Chair of Materials Engineering of Additive Manufacturing Freisinger Landstraße 52 85748 Garching bei München Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 01187 Dresden Germany nebumind GmbH Willy-Messerschmitt-Straße 1 82024 Taufkirchen Germany

The use of digital technologies in industrial manufacturing reduces operational costs and improves production quality. The “Framework for Spatiotemporal Production Data Acquisition” (PathSense) aims to improve access and usability of production data by applying a common data ecosystem. Through integrating operational technology (OT) and information technology (IT), PathSense supports decision-making and process optimization. The framework uses the concept of digital shadows to collect critical information from sensors within the continuous manufacturing processes, e.g., welding or gluing lines. Spatial and temporal digital shadows are developed in accordance with human spatial cognition to support sophisticated–yet intuitive–human-computer interactions without the need for advanced data science skills. The backbone of the framework consists of robust data pipelines with a setup incorporating modern IT protocols, such as OPC UA and MQTT, to support the efficient acquisition and management of data. The paper addresses the challenges associated with the combination of IT and OT in cyber-physical systems, stressing modern complex data-intensive manufacturing as one exemplary domain to be tackled by scalable and secure data architectures. The paper identifies two major future directions: refining data integration processes and embedding advanced machine learning algorithms to enable automated data analysis and improve process quality monitoring. In summary, PathSense proposes a data-driven approach for quality inspection in manufacturing, which may eventually enhance industry practices and move towards data-driven decisions and increased operational flexibility.

关键词： PathSense digital twin welding process data acquisition spatiotemporal analysis defect detection OPC UA MQTT AI

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Hybrid approach to evaluate surface integrity based on grinding power and Barkhausen noise

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Procedia CIRP 2022年 108卷 489-494页

作者： Jonas Heinzel Rahel Jedamski Maximilian Rößler Bernhard Karpuschewski Jérémy Epp Martin Dix MAPEX Center for Materials and Processes University of Bremen Bibliothekstr. 1 28359 Bremen Leibniz Institute for Materials Engineering IWT Badgasteiner Str. 3 Bremen 28359 Germany Fraunhofer Institute for Machine Tools and Forming Technology Reichenhainer Straße 88 09126 Chemnitz Germany

In this paper the potential of a reliable characterization of surface and subsurface properties is presented by measurement of process forces for determining the specific grinding power Pc” and the micromagnetic Barkhausen noise in cylindrical grinding trials. Therefore different dressing conditions by grinding with conventional wheel with varying process parameters are investigated. It is shown that an identified lower thermal limit in a Pc” - ∆t -diagram (contact time ∆t ) to prevent tempering zones in the ground surface and subsurface area of case hardened steel is applicable even if the condition of the grinding wheel is intentionally influenced by dressing. Finally a soft sensor concept for the use of the specific grinding power and in perspective also the use of the Barkhausen noise for process control is derived.

关键词： grinding burn detection surface integrity process control

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Retrieving properties of manufacturing systems from traceability data for performance evaluation and material flow simulation 54

Retrieving properties of manufacturing systems from traceabi...

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54th CIRP Conference on Manufacturing Ssystems, CMS 2021

作者： Reinhardt, Heiner Münnich, Marc Prell, Bastian Arnold, Roman Krippner, Fabian Weber, Marek Seifert, Frank Putz, Matthias Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Technical University of Applied Science Wildau Hochschulring 1 Wildau15745 Germany Volkswagen Sachsen GmbH Motorenwerk Chemnitz Kauffahrtei 47 Chemnitz09120 Germany Chemnitz University of Technology Straße der Nationen 62 Chemnitz09111 Germany

The operation of manufacturing systems is increasingly accompanied by data-driven continuous improvement processes and product traceability is required. Commonly, radio-frequency identification (RFID) technology is applied to track the flow of a uniquely-identifiable workpiece along various stations or waypoints within a factory. Based on an automotive use case, this paper describes how to analyze the resulting traceability data in order to identify several properties of a manufacturing system. The acquired knowledge can support performance evaluation and facilitate model building for material flow simulation as a foundation for digital twins and cyber-physical production systems. © 2021 Elsevier B.V.. All rights reserved.

关键词： Knowledge management

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Linked Data Architecture for Assistance and Traceability in Smart Manufacturing

Linked Data Architecture for Assistance and Traceability in ...

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9th EASN International Conference on Innovation in Aviation and Space, EASN 2019

作者： Friedemann, Marko Wenzel, Ken Singer, Adrian 1Fraunhofer-Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany

Traceability systems and digital assistance solutions are becoming increasingly vital parts of modern manufacturing environments. They help tracking quality-related information throughout the production process and support workers and maintenance personnel to cope with the increasing complexity of manufacturing technologies. In order to support these use cases, the integration of information from different data sources is required to create the necessary insights into processes, equipment and production quality. Common challenges for such integration scenarios are the various data formats, encodings and software interfaces that are involved in the acquisition, transmission, management and retrieval of relevant product and process data. This paper proposes a Linked Data based system architecture for modular and decoupled assistance software. Its web-oriented approach allows to connect two usually disparate data sets: semantic descriptions of complex production systems on the one hand and high-volume and high-velocity production data on the other hand. The proposed concept is illustrated with a typical example from the manufacturing domain. The described End-of-Line quality assessment on forming machines is used for traceability and product monitoring. © The Authors, published by EDP Sciences, 2019.

关键词： Linked data

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Retrieving properties of manufacturing systems from traceability data for performance evaluation and material flow simulation

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Procedia CIRP 2021年 104卷 20-25页

作者： Heiner Reinhardt Marc Münnich Bastian Prell Roman Arnold Fabian Krippner Marek Weber Frank Seifert Matthias Putz Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 09126 Chemnitz Germany Technical University of Applied Science Wildau Hochschulring 1 15745 Wildau Germany Volkswagen Sachsen GmbH Motorenwerk Chemnitz Kauffahrtei 47 09120 Chemnitz Germany Chemnitz University of Technology Straße der Nationen 62 09111 Chemnitz Germany

关键词： Knowledge management Algorithm Analysis Condition monitoring Manufacturing system Complexity Man-machine system Pattern recognition

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Nondestructive testing of composite fibre materials with hyperspectral imaging : Evaluative studies in the EU H2020 FibreEUse project

arXiv

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arXiv 2021年

作者： Yan, Yijun Ren, Jinchang Zhao, Huan Windmill, James F.C. Ijomah, Winifred de Wit, Jesper von Freeden, Justus National Subsea Centre Robert Gordon University Aberdeen United Kingdom Dept. of Electronic and Electrical Engineering University of Strathclyde Glasgow United Kingdom Dept of Design Manufacturing & Engineering Management University of Strathclyde Glasgow United Kingdom INVENT GmbH Christian-Pommer-Straße 47 Braunschweig38112 Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Hermann-Münch-Str. 1 Wolfsburg38440 Germany

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully applied in various applications, including remote sensing for security and defense, precision agriculture for vegetation and crop monitoring, food/drink, and pharmaceuticals quality control. However, for condition monitoring and damage detection in carbon fibre reinforced polymer (CFRP), the use of HSI is a relatively untouched area, as existing non-destructive testing (NDT) techniques focus mainly on delivering information about physical integrity of structures but not on material composition. To this end, HSI can provide a unique way to tackle this challenge. In this paper, with the use of a near-infrared HSI camera, applications of HSI for the non-destructive inspection of CFRP products are introduced, taking the EU H2020 FibreEUse project as the background. Technical challenges and solutions on three case studies are presented in detail, including adhesive residues detection, surface damage detection and Cobot based automated inspection. Experimental results have fully demonstrated the great potential of HSI and related vision techniques for NDT of CFRP, especially the potential to satisfy the industrial manufacturing environment. © 2021, CC BY.

关键词： Nondestructive examination

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Process-oriented Flow Curve Determination at Mechanical Joining

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Procedia Manufacturing 2020年 47卷 368-374页

作者： Mathias Jäckel Sam Coppieters Nelis Vandermeiren Christian Kraus Welf-Guntram Drossel Noa Miyake Toshihiko Kuwabara Klaus Unruh Heinrich Traphöner A. Erman Tekkaya Tudor Balan Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 Dresden 01187 Germany KU Leuven Technology Campus Ghent Department of Materials Engineering Gebroeders De Smetstraat 1 Ghent 9000 Belgium Belgium Welding Institute Technologiepark 48 Ghent 9052 Belgium Institute of Engineering Tokyo University of Agriculture and Technology 3 Chome-8-1 Harumicho Tokyo 183-8538 Japan Faurecia Autositze GmbH Nordsehler Straße 38 Stadthagen 31655 Germany Institute of Forming Technology and Lightweight Components TU Dortmund Baroper Straße 303 Dortmund 44227 Germany Arts et Metiers Institute of Technology Université de Lorraine LCFC HESAM Université F-57070 Metz France

The accuracy of numerical simulation models for forming processes depends highly on the method for the flow curve determination. Numerous experimental tests exist to identify the flow curves of sheet metals, each with certain characteristics regarding stress states and achievable strains. In this paper stress state analysis are presented for the mechanical joining techniques clinching as well as self-pierce riveting with semi-tubular rivet (SPR). Based on these findings flow curves for DC04 material are determined by selected experimental materials tests in order to compare the influence of the flow curve determination method on the accuracy of the process simulation models.

关键词： Mechanical Joining Material Chracterization Numerical Simulation

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Sandwich manufacturing with foam core and aluminum face sheets - A new process without rolling 10th

Sandwich manufacturing with foam core and aluminum face shee...

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10th International Conference on Porous Metals and Metallic Foams, MetFoam 2017

作者： Hohlfeld, Jörg Hipke, Thomas Schuller, Friedrich Fraunhofer Institute for Machine Tools and Forming Technology Reichenhainer Strasse 88 Chemnitz09126 Germany Havel metal foam GmbH Am Suedtor 1 b Brandenburg an der Havel14774 Germany

ISBN: (纸本)9783035712315

The manufacturing processes for sandwiches made with aluminum or steel sheets are differentiated by their various melting ranges. Sandwiches with aluminum face sheets have recently been produced using the so-called AFS technology, which includes a rolling process. However, it is desirable to avoid rolling for cost reduction and allow quick and flexible responses to the customer needs, the manufacturing process needs to be redesigned. This publication introduces a sandwich manufacturing approach that modifies the production of sandwiches with aluminum face sheets. The necessary process steps as well as the test results of foaming and peeling tests are presented. For a successful implementation of the approach it has been demonstrated by a sandwich production with a surface dimension of 1.500 mm x 1.000 mm. © 2018 Trans Tech Publications, Switzerland.

关键词： Cost reduction

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Process optimization for flexible self-pierce riveting of multi-material structures

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AIP Conference Proceedings 2019年第1期2113卷

作者： Tobias Falk Mathias Jäckel 1Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 01187 Dresden Germany

One of the most important mechanical joining technologies for mixed-material car body constructions is self-pierce riveting with semi-tubular rivet (SPR-ST). In order to achieve appropriate joint quality for SPR-ST, it is often necessary to use individual process parameters like die geometry or rivet length for each material and thickness combination. In this paper a method is presented, that allows to increase the flexibility of the SPR-ST process by an optimization of process parameters in regard to join several material combinations with one die geometry. Thereby FEM simulation is combined with statistical approaches to develop an optimized SPR-ST process.

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