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European Conference on Power Electronics and Applications

作者： Norman Boettcher Taro Takamori Keiji Wada Wataru Saito Shin-ichi Nishizawa Tobias Erlbacher Fraunhofer Institute for Integrated Systems and Device Technology (IISB) Erlangen Germany Dep. of Electrical Engineering and Computer Science Tokyo Metropolitan University Hachioji-shi Tokyo Japan Kyushu University Research Institute for Applied Mechanics Renewable Energy Center Kasuga-shi Fukuoka Fukuoka Japan Friedrich-Alexander University Chair of Electron Devices (LEB) Erlangen Germany

ISBN: (数字)9789075815399

ISBN: (纸本)9781665487009

This paper presents the short circuit performance of a novel SiC circuit breaker device, which is based on the “thyristor dual” functionality. The developed device structure is motivated with regard to manufacturing aspects and electrical requirements. Furthermore, the basic “thyristor dual” operation is elaborated on the basis of quasi-static electrical measurements of a fabricated prototype. The proposed self-sensing and self-triggering devices make auxiliary circuitry like sensors and micro-controllers expendable and practically have no propagation delay. As a result, short circuit clearance within 122 ns at 800 V is demonstrated in experiments. Moreover, by utilisation of a third device terminal, a temporary current limiter functionality can be obtained. The scalability of the current limit value is discussed on the basis of measurements in time domain. The maximum current limit value achieved is 7.4 times higher than the trigger current level of the circuit breaker device. Additionally, the same circuit configuration which is used for the current limiting mode, allows to remotely reset the circuit breaker after it turned to blocking-state. This opens up a wide range of possibilities to enhance the circuit breaker with intelligent functionalities.

关键词： Thyristors Circuit optimization Limiting Silicon carbide Circuit breakers Prototypes Topology

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Thermal On-Board Spectroscopy: Thermal Impedance Simulation Using FEM and Thermal Modelling

Thermal On-Board Spectroscopy: Thermal Impedance Simulation ...

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Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-systems EuroSimE

作者： Mohamad El Khatib Sven Reitz Jens Warmuth Fraunhofer Institute for Integrated Circuits IIS Division Engineering of Adaptive Systems EAS Zeunerstraße Dresden

ISBN: (数字)9781728160498

ISBN: (纸本)9781728160504

Autonomous driving, together with electromobility, is the next major innovation step in future mobility. Not only does it add a gain in comfort but also increases vehicle and road safety. In addition to the more obvious challenges, such as the performance of algorithms (artificial intelligence), there are also major open issues regarding hardware reliability. A computer-controlled vehicle is directly relying on the functionality of its electronic components. In completely autonomous operation, with lack of human supervision, the functional failure of electronic components becomes a central issue. That’s why, a safe electronic surveillance system must take over the role of human supervision in the future. To improve the electronics’ functional safety, much research has already been done in recent years. On a basic level, the on-board sensor implementation to observe the system temperature and observing the thermal management for electronic devices is a well advanced topic and has been existing for a while in the automotive industry in general. However, an “intuitive” early detection of physical defects was rarely in focus. In this paper, a defect diagnosis and physical damage detection method for electronics packaging and assembly is being presented. This process of thermal on-board spectroscopy uses intelligent temperature sensors to monitor the status of electronic assemblies and ECUs during vehicle use by analyzing the thermal impedance and the time-dependent thermal changes of the electronic packaging system.

关键词： Temperature measurement Semiconductor device measurement Electronic packaging thermal management Solid modeling Heating systems Thermal sensors Adaptation models

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Process for the development of a digital strategy

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Procedia CIRP 2020年 88卷 173-178页

作者： Andre Lipsmeier Arno Kühn Robert Joppen Roman Dumitrescu Fraunhofer Institute for Mechatronic Systems Design IEM Zukunftsmeile 1 33102 Paderborn Germany Chair Advanced Systems Engineering University of Paderborn Zukunftsmeile 1 33102 Paderborn Germany

Digitalization is facing almost all economic sectors and requires a fundamental change in existing companies. Therefore, Digitalization is a strategic core issue. However, many companies are confronted with major challenges in developing their own digital strategy. This is due to the lack of suitable approaches and methods for the development of digital strategies. In this paper a process model for the development of a digital strategy is presented. The process model is extended by methods for the single phases. With the help of the presented methods, manufacturing companies in particular will be enabled to develop their individual digital strategies.

关键词： Digital business strategy Digital strategy Digitalization strategy Digital transformation

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Hydrogen Release from Liquid Organic Hydrogen Carrier Using Plate Catalysts in Continuous and Dynamic Operation

SSRN

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SSRN 2024年

作者： Nathrath, Phillip Baier, Benjamin Herz, Nico Wituschek, Simon Ramzi, Yousuf Raed Merklein, Marion Li, Mingji Lederle, Felix Wasserscheid, Peter Hübner, Eike G. Schühle, Patrick Friedrich-Alexander-Universität Erlangen-Nürnberg Institute of Chemical Reaction Engineering Egerlandstr. 3 ErlangenDE-91058 Germany Cauerstr. 1 ErlangenDE-91058 Germany Friedrich-Alexander-Universität Erlangen-Nürnberg Institute of Manufacturing Technology Egerlandstr. 13 ErlangenDE-91058 Germany Fraunhofer Heinrich Hertz Institute HHI Fiber Optical Sensor Systems Am Stollen 19 H GoslarDE-38640 Germany Clausthal University of Technology Institute of Organic Chemistry Leibnizstr. 6 Clausthal-ZellerfeldDE-38678 Germany Wilhelm-Johnen-Straße JülichDE-52428 Germany

Significant fluctuations in energy supply are anticipated with the increasing utilization of renewable energy sources. To mitigate these fluctuations, green hydrogen released from Liquid Organic Hydrogen Carrier (LOHC) systems offers a promising solution. The use of plate catalysts in novel continuous reactor configurations enables favorable heat and mass transfer rates to drive this highly endothermic hydrogen release reaction. These catalytic plate reactors facilitate dynamic operation modes for an effective response to rapid changes in hydrogen and energy demand. In this study the performance of an established spray-coated plate catalyst is tested for the first time in continuous and dynamic operation modes. In detail, the productivity in hydrogen release from the LOHC-molecule perhydro benzyltoluene (H12-BT) is determined using a catalytic plate reactor and a tailored restart protocol was developed to maintain high hydrogen release productivities after a reactor shutdown. The plate catalysts showed good activity of up-to 0.25 mgH2 min-1 cm-2, a highly dynamic response in hydrogen release and an excellent stability under stationary and fluctuating conditions. Furthermore, a novel non-additive manufacturing method for plate catalysts through laser-texturing is introduced. The morphology of these new structures is characterized and their dehydrogenation performance is compared to the superior spray-coated benchmark. © 2024, The Authors. All rights reserved.

关键词： Reactor shutdowns

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Deorbit Kit Demonstration Mission 19

Deorbit Kit Demonstration Mission

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19th IAA Symposium on Space Debris 2021 at the 72nd International Astronautical Congress, IAC 2021

作者： Castellani, L. Tarabini Garcia-Gonzalez, S. Ortega, A. Madrid, S. Lorenzini, E.C. Olivieri, L. Sarego, G. Brunello, A. Valmorbida, A. Tajmar, M. Drobny, C. Wulfkuehler, J-P. Nerger, R. Wätzig, K. Shahsavani, S. Sánchez-Arriaga, G. Sener Aeroespacial C. Severo Ochoa 4 Tres Cantos28760 Spain Università Degli Studi di Padova Via Venezia 1 Padova35131 Italy Technische Universität Dresden Institute of Aerospace Engineering Dresden01062 Germany Fraunhofer Institute for Ceramic Technologies and Systems Winterbergstraße 28 Dresden01277 Germany Universidad Carlos III de Madrid Avenida de la Universidad 30 Leganés28911 Spain

In Low Earth Orbit, it is possible to use the ambient plasma and the geomagnetic field to exchange momentum with the Earth's magnetosphere without using propellant. A device that allows an efficient momentum exchange is the electrodynamic tether (EDT), a long conductor attached to the satellite. EDT technology has been demonstrated in several past missions, being the Plasma Motor Generator mission (NASA 1993) one of the most successful. Nevertheless, it is not until today that reality has imposed a strong need and a concrete use case for developing this technology. In March 2019, the European Commission granted to a European consortium a 3M FET-OPEN project entitled Electrodynamic Tether technology for PAssive Consumable-less deorbit Kit (***). After completing its design phase, the consortium started the manufacturing and testing of a Deorbit Kit Demonstrator (DKD) breadboard based on EDT technology. The objective of *** is to reach Technology Readiness Level equal to 4 by 2022. At the same time, the team is working on getting financial support by means of a follow-on project that would end with an In Orbit Demonstration (IOD) by the end of 2025. Currently two other projects are running in parallel with *** by ***'s partners: a 135k industrial PhD sponsored by the Comunidad de Madrid and focused on the avionic system of the DKD, and an INNOVATION LAUNCHPAD project funded with 100k by the European Commission to investigate the commercialization of the deorbit kit. The DKD is a standalone 24-kg satellite with the objective to demonstrate the performances of the improved EDT solution and validate its ultra-compact deployment system. The DKD is composed of two modules that will separate in orbit extending a 500-m long tape-like tether. The deployed bare-Aluminium tether will capture electrons from the ambient plasma passively and the circuit will be closed with the ionospheric plasma by using an active electron emitter. *** tether will take adv

关键词： Space debris

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Multi-parameter viscoelastic material model for denture adhesives based on time-temperature superposition and multiple linear regression analysis

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BMC biomedical engineering 2024年第1期6卷 8页

作者： Anantha Narayanan Ramakrishnan Josephine Reymann Christopher Ludtka Andreas Kiesow Stefan Schwan Department of Engineering and Natural Sciences University of Applied Sciences Hochschule Merseburg Merseburg Germany. Institute for Modelling and Simulation of Biomechanical Systems Faculty of Civil and Environmental Engineering University of Stuttgart Stuttgart Germany. Department of Biological and Macromolecular Materials Fraunhofer Institute for Microstructure of Materials and Systems IMWS Halle (Saale) Germany. Department of Operative Dentistry and Periodontology Martin-Luther-University Halle-Wittenberg Halle Germany. J. Crayton Pruitt Family Department of Biomedical Engineering University of Florida Gainesville USA. Department of Engineering and Natural Sciences University of Applied Sciences Hochschule Merseburg Merseburg Germany. stefan.schwan@imws.fraunhofer.de. Department of Biological and Macromolecular Materials Fraunhofer Institute for Microstructure of Materials and Systems IMWS Halle (Saale) Germany. stefan.schwan@imws.fraunhofer.de.

BACKGROUND:Restorative solutions designed for edentulous patients such as dentures and their accompanying denture adhesives operate in the complex and dynamic environment represented by human oral physiology. Developing material models accounting for the viscoelastic behavior of denture adhesives can facilitate their further optimization within that unique physiological environment. This study aims to statistically quantify the degree of significance of three physiological variables - namely: temperature, adhesive swelling, and pH - on denture adhesive mechanical behavior. Further, based on these statistical significance estimations, a previously-developed viscoelastic material modelling approach for such denture adhesives is further expanded and developed to capture these variables' effects on mechanical behavior. METHODS:In this study a comparable version of Denture adhesive Corega Comfort was analysed rheologically using the steady state frequency sweep tests. The experimentally derived rheological storage and loss modulus values for the selected physiological variables were statistically analyzed using multi parameter linear regression analysis and the Pearson's coefficient technique to understand the significance of each individual parameter on the relaxation spectrum of the denture adhesive. Subsequently, the parameters are incorporated into a viscoelastic material model based on Prony series discretization and time-temperature superposition, and the mathematical relationship for the loss modulus is deduced. RESULTS:The results of this study clearly indicated that the variation in both the storage and loss modulus values can be accurately predicted using the oral cavity physiological parameters of temperature, swelling ratio, and pH with an adjusted R value of 0.85. The R value from the multi-parameter regression analysis indicated that the predictor variables can estimate the loss and storage modulus with a reasonable accuracy for at least 85% of the rheologi

关键词： Adhesive swelling Denture adhesives Material modelling Multi-parameter linear regression analysis Rheology Temperature Time-temperature superposition Viscoelastic behavior pH

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Classification of industrial Augmented Reality use cases

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Procedia CIRP 2020年 91卷 93-100页

作者： Daniel Röltgen Roman Dumitrescu Fraunhofer Institute for Mechatronic Systems Design IEM Zukunftsmeile 1 33102 Paderborn Germany Chair Advanced Systems Engineering University of Paderborn Fürstenallee 11 33102 Paderborn Germany

Due to rapid technical advancements and the increasing diffusion of information and communications technologies, Augmented Reality (AR) has left its fledgling stages and is now on the verge of a breakthrough. Especially in industrial applications, AR holds great potentials for performance improvements: By enriching real world environments with context-specific virtual information, manual operations can be carried out more efficiently, costly mistakes can be avoided and the mental effort for transferring information from an abstract representation (e.g. monitor) to the physical world can be significantly reduced. However, a lack of transparency regarding the equally numerous and manifold applications and benefits makes it difficult for companies to weigh the impact of AR for their business. Existing classification approaches in scientific literature mainly focus on technical aspects of AR, neglecting information essential for the strategic planning of AR. The current paper aims at filling this gap by providing a classification of industrial AR use cases. The basis is a classification scheme consisting of eight classification criteria, each with several predefined characteristics, specifically tailored to the industrial use of AR. In a comprehensive literature research, 75 industrial application examples for AR were determined and described using the classification scheme. By performing a cluster analysis and multidimensional scaling, the AR application examples were grouped according to their similarity, resulting in 16 clusters, each representing a generic use case for AR. Further information was researched for each use case (e.g. benefits, opportunities, risks) and summarized in a profile. Thus, the paper provides two core results: (1) A classification scheme for describing industrial AR applications, extending the state of the art with an use-case-related classification approach. (2) A catalogue with 16 AR use case profiles, providing transparency on industrial ap

关键词： Augmented Reality Use Cases Classification

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Energy Flexibility in Battery Cell Manufacturing

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Procedia CIRP 2021年 99卷 531-536页

作者： Julian Grimm Ekrem Köse Max Weeber Alexander Sauer Kai Peter Birke Fraunhofer Institute for Manufacturing Engineering and Automation IPA Center for Battery Cell Manufacturing Nobelstraße 12 70567 Stuttgart Germany University of Stuttgart Institute for Energy Efficiency in Production EEP Nobelstraße 12 70567 Stuttgart Germany University of Stuttgart Institute for Photovoltaics IPV Electrical Energy Storage Systems Pfaffenwaldring 47 70567 Stuttgart Germany

Battery cell manufacturing consists of several energy intensive processes. With the global demand for batteries rising, manufacturing companies continuously seek for new strategies to improve their competitive advantage, reduce costs and boost their environmental performance. This paper assesses high-volume battery cell manufacturing for potentials to increase energy flexibility. The flexible change of energy carriers in the drying of electrodes and the use of advanced production planning and scheduling as well as storing energy in the formation process are identified to achieve highest potentials. Results of this paper contribute to the design and operation of battery cell manufacturing plants.

关键词： Battery cell manufacturing Energy flexibility Electrode manufacturing Formation

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Material Characterization of Additively Manufactured Metals by Laser Speckle Photometry

Material Characterization of Additively Manufactured Metals ...

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International Spring Seminar on Electronics Technology

作者： David Dang Arno Elspaß Ulana Cikalova Stefan Kleszczynski Beatrice Bendjus Gerd Witt Fraunhofer Institute for Ceramic Technologies and Systems IKTS Dresden Germany Institute for Product Engineering University of Duisburg-Essen Duisburg Germany

ISBN: (数字)9781728167732

ISBN: (纸本)9781728167749

In contrast to traditional time-consuming and costly manufacturing processes, additive manufacturing offers an effective production of prototypes. In addition to the numerous process developments of recent years, quality assurance as well as the testing of material properties afterward have now become one of the main requirements. Previous research approaches such as thermography or optical imaging have essential disadvantages, why there is a need for simple and effective solutions. For this purpose, the Laser Speckle Photometry (LSP) as a novel nondestructive approach for evaluating the material quality manufactured by Laser Powder Bed Fusion of Metals (LPBF-M) is presented. For the validation of this testing method exactly defined defective samples were reproducibly fabricated by specific adaptation in the building process. Voids were introduced into the structure, which are not visible on the surface. The simple LSP setup and the adjusted evaluation algorithm, based on the correlation function, are decisive for characterizing different material density states. This paper presents the potential of LSP for the use in LPBF-M processes stated with the first results of the validation.

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DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling

arXiv

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arXiv 2025年

作者： Possart, Dennis Mill, Leonid Vollnhals, Florian Hildebrand, Tor Suter, Peter Hoffmann, Mathis Utz, Jonas Augsburger, Daniel Thies, Mareike Wu, Mingxuan Wagner, Fabian Sarau, George Christiansen, Silke Breininger, Katharina Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-University Erlangen-Nürnberg Erlangen91052 Germany Pattern Recognition Lab Friedrich-Alexander-University Erlangen-Nürnberg Erlangen91058 Germany Institute for Nanotechnology and Correlative Microscopy Forchheim91301 Germany Lucid Concepts AG Zurich8005 Switzerland Correlative Microscopy and Materials Data Fraunhofer Institute for Ceramic Technologies and Systems Forchheim91301 Germany Institute of Experimental Physics Freie Universität Berlin Berlin91301 Germany Emeritus-Gruppe Leuchs Max Planck Institute for the Science of Light Erlangen91058 Germany Center for AI and Data Science Julius-Maximilians-University Würzburg Würzburg97074 Germany MIRA Vision Microscopy GmbH Göggingen73037 Germany

Nanomaterials exhibit distinctive properties governed by parameters such as size, shape, and surface characteristics, which critically influence their applications and interactions across technological, biological, and environmental contexts. Accurate quantification and understanding of these materials are essential for advancing research and innovation. In this regard, deep learning segmentation networks have emerged as powerful tools that enable automated insights and replace subjective methods with precise quantitative analysis. However, their efficacy depends on representative annotated datasets, which are challenging to obtain due to the costly imaging of nanoparticles and the labor-intensive nature of manual annotations. To overcome these limitations, we introduce DiffRenderGAN, a novel generative model designed to produce annotated synthetic data. By integrating a differentiable renderer into a Generative Adversarial Network (GAN) framework, DiffRenderGAN optimizes textural rendering parameters to generate realistic, annotated nanoparticle images from non-annotated real microscopy images. This approach reduces the need for manual intervention and enhances segmentation performance compared to existing synthetic data methods by generating diverse and realistic data. Tested on multiple ion and electron microscopy cases, including titanium dioxide (TiO2), silicon dioxide (SiO2), and silver nanowires (AgNW), DiffRenderGAN bridges the gap between synthetic and real data, advancing the quantification and understanding of complex nanomaterial systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Generative adversarial networks

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