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27th International Congress on Sound and Vibration, ICSV 2021

作者： Georgi, Oliver Rüger, Carlo Rentzsch, Hendrik Hochmuth, Carsten Putz, Matthias Dix, Martin Papsdorf, Gunther Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany SINUS Messtechnik GmbH Leipzig Germany

ISBN: (纸本)9788378807995

Regarding deep drilling, problems in terms of chip formation and removal, burrs, tool vibrations as well as process reliability occur. Modern scientific approaches face these problems and aim to improve productivity, quality and reliability to reduce manufacturing costs. At the same time, there is a trend to use in-process monitoring and control in terms of adaptive machining processes in order to operate cutting processes close to the limits of stability. The application of ultrasonic assistance for drilling and deep drilling processes enables multiple advantages like reduced tool wear and burr formation as well as enhanced chip breaking behaviour. Moreover, ultrasound enables the use of previously unused physical effects to obtain information from the process zone and identify process conditions. In this context, the paper presents an approach of using modulation phenomena to evaluate dynamic process stability, using ultrasound as a carrier signal for low-frequency vibrations related to the deep drilling tool. In addition, the resonant coupling of ultrasonic system and cutting operation is used to draw direct conclusions about the load behaviour of the machining process from characteristics of the resonant vibration system. This directly leads to the possibility to perform in-process monitoring of tool wear. The article covers the theoretical basics, the hardware realization as well as experimental investigations regarding acoustic process monitoring for ultrasonic-assisted deep drilling. © "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： Process monitoring

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UV-Imprint of micro-textured polymer films for biomedical disposables 22

UV-Imprint of micro-textured polymer films for biomedical di...

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22nd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2022

作者： Gärtner, Eric Edelmann, Jan Hackl, Claudia Roussak, Liudmila Tomasova, Lea Guttenberg, Zeno Gnüchtel, Sebastian Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Leipzig Germany SensLab GmbH Leipzig Germany Ibidi GmbH Gräfelfing Germany WESKO GmbH Stollberg Germany

ISBN: (纸本)9781998999118

In the life science sector, increasing demands on the reproducibility and accuracy of lab-on-chip systems require new manufacturing technologies for the production of polymer films with multifunctional surfaces. A mass-production capable and cost-effective way to pattern microfluidic films is the manufacturing process of UV injection molding. Therefore, the aim of the project is to develop microstructured polymer films with multifunctional surface properties by means of an injection molding UV plate-to-plate (P2P) replication process. For this purpose, a special film injection molding system was developed that allows filling with different formulations, curing by UV light and molding of the required microstructures. In respect to the application of the microstructured polyacrylate films in cell-based assays as well as biosensor disposables, microstructures of various geometries were designed and produced in the P2P process. In addition, cell tests were performed in this study in order to evaluate the biocompatibility and optical quality of the substrates, and to verify the functionality of the microstructures. Here, we show that the structured polyacrylate foil is a suitable substrate that can be implemented in plastic microfluidic chips for cell-based assays and biosensor disposables. © European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Polymer films

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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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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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Development of general data-based process models for self-pierce riveting 24

Development of general data-based process models for self-pi...

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24th International ESAFORM Conference on Material forming, ESAFORM 2021

作者： Jäckel, Mathias Falk, Tobias Kropp, Thomas Drossel, Welf-Guntram Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Straße 44 Dresden01187 Germany

ISBN: (纸本)9782870193020

The determination of ideal process parameters for mechanical joining processes such as self-pierce riveting currently requires a comprehensive understanding of the process, the availability of the materials to be joined and the corresponding system technology. General process models can simplify the use of these joining technologies, accelerate development cycles and thereby reduce the effort for implementation into production. In this paper, the development of general data-based process models for the mechanical joining method self-pierce riveting with semi-tubular rivet is described. Extensive experimental and numerical investigations with more than 2300 joint combinations for steel and aluminum sheets with tensile strengths between 240 - 1020 MPa were generated for the building of the models. Based on these results, different meta-models are fused into general data-based process models for the self-pierce riveting process in order to show the general relationships between material properties, process parameters and joining results. The paper discusses the acquisition of the experimental and numerical data, the statistical methods for evaluation and the application of the data-based process models. © ESAFORM 2021 - 24th Inter. Conf. on Mat. forming. All rights reserved.

关键词： Riveting

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Enhancing Tool Wear Segmentation with LoRA-SAM and Point Prompts

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Procedia CIRP 2025年 134卷 705-710页

作者： Zongshuo Li Ding Huo Markus Meurer Miguel Panesso Welf-Guntram Drossel Thomas Bergs Manufacturing Technology Institute (MTI) of RWTH Aachen University Campus-Boulevard 30 52074 Aachen Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Nöthnitzer Str. 44 01187 Dresden Germany Fraunhofer Institute for Production Technology IPT Steinbachstr. 17 52074 Aachen Germany

Automated optical measurement of cutting tools offers a rapid and direct approach to monitoring tool wear. While the Segment Anything Model (SAM) exhibits strong zero-shot generalization capabilities in typical scenarios due to its powerful image encoder and prompt engineering, it underperforms in tool wear segmentation because of its lack of domain-specific knowledge. In this study, an image dataset containing various tools with different prompts was initially established, and SAM was fine-tuned using Low-Rank Adaptation (LoRA) and Mixture-of-Expert (MoE) LoRA to incorporate domain-specific knowledge of tool wear. The results consistently show that both LoRA-SAM and MoE-LoRA-SAM significantly outperform the original SAM in tool wear segmentation with over 55% improvement. Additionally, using a combination of three prompt points is sufficient for accurate tool wear segmentation. This finding highlights the potential applicability of SAM in industrial scenarios.

关键词： Tool wear Deep learning Image segmentation SAM

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Approach to a GPT-based Early Detection Tool to Evaluate Heterogeneous Data Sources and Identify Reconfiguration Needs of SMEs in the Production Sector

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Procedia CIRP 2024年 130卷 631-636页

作者： Adrian Jacob Anas Ben Achour Uwe Teicher Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Pforzheimer Str. 7a 01189 Dresden Germany TU Dresden Institute of Mechatronic Engineering Helmholtzstr. 7a 01062 Dresden Germany

In the face of a rapidly evolving commercial ecosystem, small and medium-sized enterprises (SMEs) must ensure their process chains are capable of swift reconfiguration to mitigate disruptions from supply chain volatility, regulatory changes, and demand shifts. This study addresses the need for reconfiguration in the context of data-driven opportunities for early identification of reconfiguration needs in SMEs, with a focus on the production sector. We identify a variety of diverse and heterogeneous data sources that are critical for tracking these disruptions, such as public news, economic reports, market analyses, legal documents, and internal corporate records. To make use of these data streams, we propose an innovative early detection tool that employs advanced machine learning techniques and private, locally operated Generative Pretrained Transformers (GPTs). This system is intended to process and analyze the various data formats that SMEs encounter including HTML, PDF and plain text as well as quantitative data. By combining public and company internal data while addressing privacy concerns, the tool aims to provide SMEs with a comprehensive tracking of their commercial environments. The tool also addresses the challenges posed by the limited availability of large datasets within SMEs, which are typically required for effective use of machine learning techniques, allowing for effective operation with smaller datasets. As these technologies continue to advance, their impact across various industries, including legal, manufacturing, and supply chain management, is set to expand significantly. The proposed tool offers SMEs enhanced decision-making, compliance assurance, and the ability to proactively adapt to the unpredictable global business landscape.

关键词： Early Detection Decision support Reconfiguration machine Learning GPT

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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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Design requirements for a modular framework of industrial surface defect detection system designs in the context of machined, automotive workpieces

Design requirements for a modular framework of industrial su...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Marco Wagenstetter Thomas Aicher Arvid Hellmich Steffen Ihlenfeldt Powertrain Production System Planning BMW Group Munich Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Dresden Germany

The planning phases of industrial surface defect detection systems for machined, automotive workpieces are time-consuming and require project teams comprised of experts from different disciplines in order to achieve optimal systems regarding the prioritized objectives. To master this challenge current research is aiming for flexible inspection system concepts that are not application-specific and thus can be used for a range of industry-dependent specifications without the necessity to complete each planning phase from the beginning. This paper presents a thorough analysis of the influencing factors at the beginning of the inspection planning process of an industrial surface defect detection system for machined, automotive workpieces. Based on this analysis, design requirements for a modular framework for industrial surface defect detection system designs in this sector are derived and contextualized with available system components. Finally, an outlook for future research is presented with the goal to further increase the flexibility of industrial surface defect detection systems.

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