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检索条件"机构=Fraunhofer Institute For Machine Tools And Forming Technology"

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Framework for increasing sustainability of factory systems by generative layout design 29

Framework for increasing sustainability of factory systems b...

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29th CIRP Conference on Life Cycle Engineering, LCE 2022

作者： Süße, Marian Ihlenfeldt, Steffen Putz, Matthias Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany Fraunhofer-Gesellschaft Zur Förderung der Angewandten Forschung E.V. Chemnitz Germany

The structure of factory systems has a long-term impact on the productivity and performance of production systems. With an increasing relevance of decentral renewable energy sources, factory planning becomes more complex due to an increase of decision criteria and possible solutions, but ecological impacts are also growingly depending on early structure decisions. However, decisions during planning processes in industry are still based on experience, qualitative assessments and discussions. Thus, planning results may not exploit the potential of the available solution space, nor do they allow quantitative traceability of layout configurations. Generative Design (GD) gained popularity in topology optimization and building construction and provides promising opportunities for complex design tasks. Not least with the increasing relevance of Building Information Modeling (BIM) in manufacturing, new methods and technologies for optimization become available to factory planners. Hence, the paper describes options for enhanced decisions in sustainable factory layout planning. Therefore, it provides a quick overview on optimization and GD in layout planning as well as the relation towards BIM and sustainability assessment. Based on this, possible extensions of optimization targets and boundaries towards energy and sustainability-related criteria is elaborated. Afterwards, necessary and potential data acquisition with the openBIM-related Industry Foundation Classes (IFC) is discussed. The paper concludes with an outlook towards further investigations on the overlap of layout design, BIM and sustainability. © 2022 Elsevier B.V.. All rights reserved.

关键词： Sustainable development

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Characterization of 3D printed polymer mounts in translational and rotational DOF 30

Characterization of 3D printed polymer mounts in translation...

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30th International Conference on Noise and Vibration Engineering, ISMA 2022 and 9th International Conference on Uncertainty in Structural Dynamics, USD 2022

作者： Troge, J. Georgi, T. Hensel, E. de Klerk, D. Graf, M. Burkhardt, M. Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 Dresden01187 Germany VIBES.technology Molengraaffsingel 14 Delft2629JD Netherlands Fraunhofer Institute for Chemical Technology ICT Joseph-von-Fraunhofer Str. 7 Pfinztal76327 Germany

ISBN: (纸本)9789082893151

Mounts are important transfer elements to isolate structure-borne sound from a source to a receiver. The dynamic transfer behavior of a mount can be described using frequency dependent dynamic stiffness and damping. For determination of these parameters, a mount can be abstracted as a two-port element. The stiffness matrix of this element includes input, output and transfer stiffnesses for translational and rotational DOF. Especially the measurement of rotational DOF can be a challenge. A promising approach for this is the Virtual Point Transformation. Hereby, the dynamic behavior in a virtual point of a structure is calculated by combining signals from several vibration sensors. This approach was used to determine stiffness matrices of different polymer mounts, which were manufactured using a 3D printing process to ensure direction-dependent dynamic properties. This paper deals with the practical implementation of the method as well as the presentation of the results and deviations of the dynamic transmission behavior of the polymer mounts. © 2022 Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.

关键词： Stiffness matrix

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Inductive heating based on VHF-ISM radio band frequencies as technology platform for efficient heating of metallic micro-scaled bonding layers in MEMS packaging

Inductive heating based on VHF-ISM radio band frequencies as...

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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Hofmann, Christian Kroll, Martin Panhale, Sushant Wiemer, Maik Kunke, Andreas Hiller, Karla Kuhn, Harald Fraunhofer Institute for Electronic Nano Systems Enas Chemnitz09126 Germany University of Technology Institute for Machine Tools and Production Processes Chemnitz09126 Germany University of Technology Center for Microtechnologies Chemnitz09126 Germany

ISBN: (纸本)9798350338362

This paper presents a method for selective and energy-efficient induction heating of metallic microstructures to support and enhance metal bonding technologies for MEMS packaging. The technological challenges include the use of miniaturized coils for homogeneous heat distribution, the implementation of VHF-ISM radio band frequencies up to f0 = 40.68 MHz for the generation of high frequency electromagnetic fields and the integration of the inductive equipment into a heating and bonding system. FE simulation and infrared (IR) thermography were used to characterize the inductive process with low coil currents of I0 © 2023 IEEE.

关键词： MEMS

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Strategies for Resilient Manufacturing: A Systematic Literature Review of Failure Management in Production 57

Strategies for Resilient Manufacturing: A Systematic Literat...

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18th IFAC Workshop on Time Delay Systems, TDS 2024

作者： Wachter, Charlotte Beckschulte, Sebastian Hinrichs, Marcos Padrón Sohnius, Felix Schmitt, Robert H. Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany Fraunhofer Institute for Production Technology IPT Steinbachstraße 17 Aachen52074 Germany

The need for strategies to manage failures and disruptions becomes increasingly crucial, as Industry 4.0 continues to redefine manufacturing and industrial processes. This systematic literature review aims to provide a comprehensive overview of the current state of knowledge regarding resilience strategies towards the paradigm of Industry 5.0. The integration of advanced technologies and the growing complexity of modern production systems introduce new challenges, such as the potential for cascading failures and disruptions in production environments. These challenges highlight the urgency of identifying effective resilience strategies to maintain system integrity, minimize downtime, and increase product and process quality. This review identifies existing research on resilience strategies in manufacturing, focusing on their applicability, trends, and potential research gaps. Insights are intended to guide researchers and industry practitioners in developing robust failure management approaches. A systematic literature analysis in major academic databases was conducted, selecting peer-reviewed articles published between 2013 and 2023. Keywords related to failure management and associated concepts were used to identify relevant studies. The inclusion criteria focused on research that presented empirical evidence or theoretical insights into resilience strategies. Our review reveals a diverse body of literature that explores various resilience strategies towards the vision of Industry 5.0, including a stronger focus on supporting operators, predictive failure analysis, supply chain modelling, and data management. These strategies aim to enhance system robustness, adaptability, and recovery capabilities. However, there is a notable lack of standardization and consensus on the most effective approaches. This paper contributes to synthesizing and categorizing the findings, highlighting both the strengths and limitations of the current research landscape. © 2024 The Autho

关键词： Supply chains

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Test bench development and validation for blocked force measurements in six degrees of freedom 50

Test bench development and validation for blocked force meas...

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50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021

作者： Burkhardt, Martin Hensel, Eric Drossel, Welf-Guntram Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Str. 44 Dresden01187 Germany

ISBN: (纸本)9781732598652

For transfer path analysis (TPA) methods, the description of the source is essential. The possibilities of source characterization are as different as the TPA methods. For the classical methods, the source is considered in the assembled state with feedback from the receiver structure, while for component-based TPA the source is described without feedback from the coupled structure. In addition to TPA, source characterization is also used in the product development process for evaluation or comparisons. Also in these cases, the source must be characterized without feedback from the test structure, which can generally be realized by measuring free velocities or blocked forces. Because of the need for an external load to reach the components operating point, force measurements are often used. However, the realization of a test setup without significant influences on the measurement of forces poses some challenges. The paper presents a setup that can be used to perform a direct force measurement at one point in six degrees of freedom (dof). The necessary boundary conditions to approximate the idealized blocked force assumption are discussed, the calculation of the blocked force in six dof is presented, the structural dynamic response at a reference point is calculated and compared with operational measurements. © INTER-NOISE 2021 .All right reserved.

关键词： Force measurement

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Comparative analysis of topology optimization versus material substitution: Is there a best method for vehicle weight reduction? 34

Comparative analysis of topology optimization versus materia...

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34th CIRP Design Conference, CIRP 2024

作者： Chirinda, Gibson P. Matope, Stephen Zincume, Philani Maisiri, Whisper Sterzing, Andreas University of Stellenbosch Private Bag X1 Matieland Stellenbosch7602 South Africa North West University Private Bag X6001 11 Hoffman Street Potchefstroom2531 South Africa Fraunhofer Institute of Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany

The United Nations (UN) Sustainable Development Goal 13 focuses on taking urgent action to combat climate change and its impacts. Resource efficient production and strict emission regulations have made vehicle weight reduction a subject of great interest. Common lightweighting techniques include topology optimization and material substitution. The benefits include reduced raw material usage, low fuel consumption, and low carbon emissions. There is a gap in the complex balance of decision-making. If an engineer is faced with the option of topologically optimizing or materially substituting, is one method better than the other? This paper comparatively analyses these lightweight design strategies. © 2024 Elsevier B.V.. All rights reserved.

关键词： Low emission

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Maturity Assessment for the Introduction of Predictive Quality Approaches in Production Environments 31

Maturity Assessment for the Introduction of Predictive Quali...

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31st CIRP Conference on Life Cycle Engineering, LCE 2024

作者： Günther, Robin Schmitt, Robert H. Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany Fraunhofer Institute for Production Technology IPT Steinbachstraße 17 Aachen52074 Germany

By integrating data-driven analysis methods into existing procedures, quality and failure management performance can be increased systematically. Linking product and process data with existing failure and quality knowledge offers significant potential for enhancing the continuous improvement of processes and products. Nevertheless, the potential of data-driven analysis still needs to be fully exploited. Despite the apparent advantages of analysis-oriented approaches, many companies are hesitant to implement such transformation projects because quantifying possible benefits is challenging. Thus, there is an economic risk due to the limited availability of resources, which must be utilized purposefully. An approach that allows the systematic identification and prioritization of promising use cases and reduces the risk of introducing data-based approaches is missing. This paper conceptualizes a model to evaluate the potential for introducing data-based analysis in production processes. A maturity assessment, consisting of four dimensions and seventeen sub-dimensions, is presented, which enables the identification of promising use cases for implementing data-based approaches. The conceptualized model is validated using an expert survey. © 2024 The Author(s).

关键词： Project management

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Information requirements analysis for process-oriented decision support via predictive quality models in production 57

Information requirements analysis for process-oriented decis...

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18th IFAC Workshop on Time Delay Systems, TDS 2024

作者： Buschmann, Daniel Schulze, Tobias Beckschulte, Sebastian Schmitt, Robert H. Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany Fraunhofer Institute for Production Technology IPT Steinbachstraße 17 Aachen52074 Germany

In production environments, failure management and process optimization are essential elements for preventing interruptions and fulfilling customer expectations in terms of product quality. In this context, not only the establishment of standardized failure management and process optimization processes are of central importance, but also the use of modern analysis methods for the efficient identification and correction of product and process failures. Advances in the field of machine learning enable the prediction of quality characteristics during production, supporting in the identification of potential defects. However, merely predicting defects proves insufficient for supporting the decision-making process toward specific measures for process optimization. This paper examines the information demand for decision support through predictive quality models in production by means of a targeted information requirements analysis. For this purpose, established methods for failure analysis and process optimization, such as fault tree analysis, 8D-reports, and design of experiments, were evaluated. Thereupon, ten hypotheses with two additional research questions regarding the information demand were derived. Based on the derived hypotheses and questions, a cross-industry semi-structured expert survey (n=33) was conducted, followed by an evaluation of the results with regards to the information requirements for process-oriented decision support. The survey results (Cronbach's alpha=0.77) confirm that predicting possible deviations and defects alone is insufficient for supporting decision-making process. The results indicate that additional information is required to support decision-making through predictive quality models with the objective of optimising the production process. The identification of important characteristics and interactions as well as the associated effect size is of paramount importance. Regarding the requirements for the provision of information via pre

关键词： Cracks

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Experimental investigations on the bonding of alkaline electrolytic cells 57

Experimental investigations on the bonding of alkaline elect...

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18th IFAC Workshop on Time Delay Systems, TDS 2024

作者： Griemert, Rudolf Bobka, Paul Römer, Martin Dröder, Klaus Institute of Machine Tools and Production Technology Technische Universität Braunschweig Langer Kamp 19b Braunschweig38106 Germany Fraunhofer Institute for Surface Engineering and Thin Films IST Riedenkamp 2 Braunschweig38108 Germany

Green hydrogen is becoming an increasingly relevant alternative to fossil fuels for various applications. Alkaline water electrolysis (AEL) is a promising technology to meet this growing demand. However, scaling up the production of AEL cells in a cost-efficient manner is challenging, as current cell designs are not optimized for automated assembly processes. This is a result of the conventionally required large number of individual parts such as screws, nuts, washers and isolation tubes for joining the half shells of one cell. To address this challenge, the present research investigates the feasibility of adapting the cell design by replacing the conventional screw-based joining processes with an adhesive-based design. As a first step, the required adhesive properties for use in AEL cell design are identified. Following this, four selected adhesives are experimentally analysed regarding their suitability. To accomplish this, adhesive samples are placed inside of an AEL cell and exposed to continuous cell operation for 10 hours. The adhesives are optically analysed and the Shore hardnesses and tensile shear strengths are compared before and after exposure. The results demonstrate the suitability of the investigated epoxy-based adhesives regarding the required chemical resistance and mechanical strength. To evaluate the feasibility of the selected adhesive, a 250 x 500 mm AEL cell demonstrator with this concept is operated in a test facility, proving the electrochemical feasibility and sufficient electrical insulation of this approach. However, the chemical resistance and especially the impermeability proved to be lacking, highlighting the necessity for further investigations into chemically resistant adhesives for the application in electrolyseur manufacturing. Overall, this research opens up the possibility for increasingly cost-effective and scalable AEL production processes, which is an influential factor for achieving a sustainable supply of green hydrogen. © 20

关键词： Electrolytic cells

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Enhancing cooling tower performance with condition monitoring and machine learning based drift detection 15

Enhancing cooling tower performance with condition monitorin...

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15th CIRP Conference on Intelligent Computation in Manufacturing Engineering, ICME 2021

作者： Nahvi, Sina Polster, Stefan Melzer, Sebastian Stoll, Anke Münnich, Marc Mannstadt, Stefan Klimant, Philipp Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Multi Kühlsysteme GmbH Zschorlauer Straße 56 Aue08280 Germany

Process cooling is crucial to many manufacturing processes. To monitor the performance of a cooling tower, it was equipped with extensive sensors for internal and environmental data acquisition. The aim is to improve reactive and predictive maintenance by estimating the actual condition as well as predicting defective behavior of the cooling tower. We designed a method, which derives the degree of defect from data of the non-defective cooling tower. A concept drift detection approach was implemented, which monitors the model estimation error of a multilayer perceptron model. Increasing model estimation error indicates changing system behavior and increasing risk of failure. © 2022 The Author(s).

关键词： Condition monitoring

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