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Node Classification in CAD Data: A Graph Learning Approach for Machining Feature Localization 4

Node Classification in CAD Data: A Graph Learning Approach f...

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4th International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Bohm, Stefan Andreas Neumayer, Martin Song, Rui Rib, Fabian Knoll, Alois Technical University of Munich Chair of Robotics Artificial Intelligence and Real-Time Systems Munich Germany Rosenheim Technical University of Applied Sciences Research and Development Department Rosenheim Germany Fraunhofer Institute for Transportation and Infrastructure Systems Ingolstadt Germany Rosenheim Technical University of Applied Sciences Faculty of Engineering Sciences Rosenheim Germany

ISBN: (纸本)9798350391183

Pattern recognition is becoming increasingly important in many sectors, such as the manufacturing industry. With rising customer demands and advancing technology, product data, often represented as 3D meshes, is becoming highly complex. Therefore, intelligent approaches are needed to recognize and localize features in 3D meshes to determine complex manufacturing processes. However, previous approaches solely work on voxel-, pixel-or. STEP-based formats and not directly on mesh-based formats such as STL data. To overcome these issues, we present a configurable data generator and customize graph neural network architectures for the problem of localizing machining features directly in 3D meshes. After comparing the graph neural networks against each other, the best resulting network is compared to an existing state-of-The-Art approach, i.e., SsdNet. Our results indicate that the best-performing graph neural network exhibits superior classification accuracies on meshes with few machining features compared to SsdNet with an average F1 score of 80%. While the accuracy slightly falls behind SsdNet with more features, the graph neural network shows substantially better runtime performance results, which are, on average, 70 times faster. © 2024 IEEE.

关键词： Graph neural networks

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How Sustainable is Machine Learning in Energy Applications? – The Sustainable Machine Learning Balance Sheet 17

How Sustainable is Machine Learning in Energy Applications? ...

引用

17th International Conference on Wirtschaftsinformatik, WI 2022

作者： Wenninger, Simon Kaymakci, Can Wiethe, Christian Römmelt, Jörg Baur, Lukas Häckel, Björn Sauer, Alexander Project Group Business & Information Systems Engineering of the Fraunhofer FIT Augsburg Germany FIM Research Center University of Applied Sciences Augsburg Augsburg Germany Fraunhofer Institute for Manufacturing Engineering and Automation IPA Stuttgart Germany Institute for Energy Efficiency in Production EEP University of Stuttgart Stuttgart Germany

Information systems play a central role in the energy sector for achieving climate targets. With increasing digitization and data availability in the energy sector, data-driven machine learning (ML) approaches emerged, showing high potential. So far, research has focused on optimizing ML approaches’ prediction performance. However, this is a one-sided perspective. ML approaches require large computation times and capacities leading to high energy consumption. With the goal of sustainable energy systems, research on ML approaches should be extended to include the application’s energy consumption. ML solutions must be designed in such a way that the resulting savings in energy (and emissions) are greater than the energy consumption caused using the ML solution. To address this need, we develop the Sustainable Machine Learning Balance Sheet as a framework allowing to holistically evaluate and develop sustainable ML solutions which we validated in a case study and through expert interviews. © 2022 17th International Conference on Wirtschaftsinformatik, WI 2022. All rights reserved.

关键词： Machine learning

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Cooling Capacity of Oil-in-Water Emulsion under wet Machining Conditions 19

Cooling Capacity of Oil-in-Water Emulsion under wet Machinin...

引用

19th CIRP Conference on Modeling of Machining Operations, CMMO 2023

作者： Nabbout, Kaissar Sommerfeld, Martin Barth, Enrico Uhlmann, Eckart Bock-Marbach, Benjamin Kuhnert, Jörg Institute of Process Engineering Otto-von-Guericke-University Magdeburg Universitätsplatz 2 Magdeburg39106 Germany Technische Universität Berlin Pascalstr. 8-9 Berlin10587 Germany Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstr. 8-9 Berlin10587 Germany Fraunhofer Institute for Industrial Mathematics ITWM Fraunhofer-Platz 1 Kaiserslautern67633 Germany

Many industrial machining operations are carried out under wet machining conditions. Modelling and simulating fluid-structure-interactions and conjugate heat transfer are still a challenge nowadays. In this paper, temperature dependent heat transfer coefficients (HTC) h(T) are experimentally estimated for wet machining-like conditions in a jet cooling experiment. The transient temperature is thereby used to solve an Inverse Heat Transfer Problem for HTC function estimation. Determined HTC are applied as input in related jet cooling simulation using the Finite-Pointset-Method (FPM) to validate the modeling approach. Additionally, wet cutting simulations numerically highlight the influence of determined HTC h(T) on turning. © 2023 Elsevier B.V.. All rights reserved.

关键词： Cooling

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Three-Dimensional Model of a cylindrical Lithium-Ion Cell - Influence of Cell Design on State Imbalances and Fast-Charging Capability 32

Three-Dimensional Model of a cylindrical Lithium-Ion Cell - ...

引用

32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Fill, Alexander Kopp, Mike Hemmerling, Jessica Baazouzi, Sabri Tendera, Luca Birke, Kai Peter University of Stuttgart Electrical Energy Storage Systems Stuttgart70569 Germany Fraunhofer Institute for Manufacturing Engineering and Automation IPA Stuttgart70569 Germany Mercedes-Benz Group AG Research and Development Stuttgart70372 Germany

ISBN: (纸本)9798350399714

To find the best trade-off among fast-charging capability, lifespan and energy density, three-dimensional electrical and thermal models of lithium-ion cells are essential tools. The cell design, like the porosity and thickness of the electrodes, tab number, alignment and design as well as the cell geometry and format are important parameters to achieve said optimum. In this article a three-dimensional electrical and thermal model based on a half-cell Equivalent Circuit Model (ECM) of a cylindrical lithium-ion cell is presented. The model parametrization is based on a high-energy 18650 cell (NMC-811/SiC). For validation, measurements of a lithium-ion cell with an integrated temperature sensor are conducted. This allows to measure the core and surface temperature of the cell. The model shows a sufficient agreement to experimental data. Based on the model the influence of tab design and the cell format on state imbalances within the cell and the fast-charging capability are investigated. Increasing the number of tabs especially using the so called tabless design lead to a reduction of state imbalances and charging time while not increasing the potential of Li-plating or thermal hot-spots. These positive effects of tab design became more significant with increasing cell format. © 2023 IEEE.

关键词： Equivalent circuits

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Verification of Hygrothermal Simulations Using Silicone Encapsulated Climate Sensors in Continuously Operated IGBT Power Modules 11

Verification of Hygrothermal Simulations Using Silicone Enca...

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Frohling, Soren Kostka, Benedikt Wenzel, Johannes C. Fischer, Katharina Peters, Jan-Hendrik Hanf, Michael Zorn, Christian Dehning, Kirsten Zimmermann, Stefan Kaminski, Nando Mertens, Axel Leibniz University Hannover Institute for Drive Systems and Power Electronics Hannover30167 Germany Fraunhofer Institute for Wind Energy Systems Iwes Hannover30159 Germany University of Bremen Institute for Electrical Drives Power Electronics and Devices Bremen28359 Germany Leibniz University Hannover Institute of Electrical Engineering and Measurement Technology Hannover30167 Germany

ISBN: (纸本)9788957083505

This paper presents measurements of temperature and humidity conditions in a power module during continuous pulse-width modulation (PWM) operation. Based on the results, a developed hygrothermal simulation model is validated. This can subsequently be used later to identify critical operating conditions which can create lifetime-reducing microclimates on the chip level. This approach enables the implementation of a condition monitoring system based on the microclimate inside the power module. © 2023 The Korean institute of Power Electronics.

关键词： Pulse width modulation

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Fast-charging capability versus energy density - a parametric study using a multi-dimensional lithium-ion cell model

Fast-charging capability versus energy density - a parametri...

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2023 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Fill, Alexander Kopp, Mike Hemmerling, Jessica Baazouzi, Sabri Tendera, Luca Birke, Kai Peter University of Stuttgart Electrical Energy Storage Systems Stuttgart70569 Germany Fraunhofer Institute for Manufacturing Engineering and Automation Ipa Stuttgart70569 Germany Mercedes-Benz Group Ag Research and Development Stuttgart70372 Germany

ISBN: (纸本)9798350322972

As a result of the steadily increasing market share of battery-electric vehicles, the demands on the battery system in terms of range and fast-charging capability are becoming tougher in order to meet customer needs. Depending on the design of the cell and the electrodes in particular, the lithium-ion cell can be optimized in terms of its energy and power density, but the two parameters are generally in conflict. This paper therefore addresses the influence of electrode thickness, porosity, and porosity-layered electrodes on fast-charging capability and energy density. For this purpose, a three-dimensional electrical and thermal model is implemented, which is parameterized and validated based on a high-energy cylindrical cell (NMC 811 - Graphite-Si). To simulate the electrical behavior, a half-cell Equivalent Circuit Model is used. Starting from the reference cell, different electrode structures are investigated in terms of their fast-charging capability and energy density with the objective of finding an optimal combination of energy and power density. © 2023 IEEE.

关键词： Porosity

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Self-Organization and Collaboration in Robotic Manufacturing systems 19

Self-Organization and Collaboration in Robotic Manufacturing...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Frotzscher, Andreas Chen, Xiao Tran, Duy Lam Goll, Thore Sadeghian, Hamid Wu, Fan Dehmel, Martin Wohlfahrt, Tommy Riedl, Matthias Haddadin, Sami Fraunhofer Institute for Integrated Circuits Iis Engineering of Adaptive Systems Eas Dresden Germany Technical University of Munich Munich Germany Ifak E.V. Magdeburg Germany Franka Emika GmbH Munich Germany

ISBN: (纸本)9798350320695

The flexibility and adaptability of smart production systems are achieved through the use of autonomous and collaborating production assets. However, these systems still heavily rely on a central control unit to supervise and coordinate assets, as well as adapt to new demands. Additionally, these systems require reliable wireless connectivity to function effectively. This paper summarizes three contributions to autonomous manufacturing systems. Firstly, a system architecture that co-designs communication control for collaborating production assets is proposed, enabling dynamic trade-off negotiations between the control application and the communication network. Secondly, a novel approach for the self-organization of assets that can adapt in real-time is introduced. Finally, we present a collaborating strategy that facilitates close collaboration between robots while considering the performance of the wireless communication system in use. © 2023 IEEE.

关键词： Economic and social effects

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eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregivers of People with Dementia 12th

eDEM-CONNECT: An Ontology-Based Chatbot for Family Caregive...

引用

12th International Conference on Mobile Communication and Healthcare, MobiHealth 2023

作者： Boiting, Maurice Tschorn, Niklas Suravee, Sumaiya Yordanova, Kristina Halek, Margareta Jagoda, Franziska A. Lüdtke, Stefan Burmann, Anja Fraunhofer Institute for Software and Systems Engineering ISST Dortmund44147 Germany Institute for Data Science Universität Greifswald Greifswald17489 Germany School of Nursing Science Faculty of Health Universiät Witten/Herdecke Witten58453 Germany Institute for Visual and Analytic Computing Universät Rostock Rostock18059 Germany

ISBN: (纸本)9783031606649

Home care of people with dementia (PwD) is mainly organized and carried out by non-professional family caregivers, who struggle to interpret the needs of PwD correctly and are confronted with the challenging behavior of their relatives. Although support services for family caregivers are widespread in Germany, they are rarely used due to the fact that information is poorly organized and relatives are faced with a flood of disorganized, outdated, and confusing content. Due to the technical development of chatbot technologies (ChatGPT), chatbots gain more and more relevance. Based on the new technological possibilities, we developed an online communication and service platform with an integrated chatbot within the eDEM-CONNECT project, with the aim of making structured and easily understandable information accessible for family caregivers. This work focuses on the development of a chatbot pipeline that has broad domain knowledge through a provided ontology on the topic of agitation of PwD. This allows the chatbot to provide relevant and peer-reviewed information to family members. In our approach, a patient history is first taken based on several diagnostic questions so that relevant information can be output in a later step. For this purpose, we demonstrate that agitations in natural language can be correctly recognized by the used BERT model and that our developed chatbot is able to select further diagnostic questions based on the predictions of a Markov logic network. © ICST institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Neurodegenerative diseases

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UV-Stability of Industrial PERC, SHJ and TOPCon Solar Cells

UV-Stability of Industrial PERC, SHJ and TOPCon Solar Cells

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IEEE Conference Photovoltaic Specialists (PVSC)

作者： Fabian Thome Pascal Meβmer Wolfram Kwapil Florian Schindler Martin C. Schubert Fraunhofer Institute for Solar Energy Systems (ISE) Freiburg im Breisgau Germany Department of Sustainable Systems Engineering (INATECH) Freiburg im Breisgau Germany

ISBN: (数字)9781665464260

ISBN: (纸本)9781665475822

Recent reports suggest a pronounced susceptibility of modern cell architectures to degradation induced by ultraviolet irradiation (UVID). We investigate the stability of bifacial PERC, SHJ and TOPCon solar cells produced in-house and by industry by subjecting the bare cells to a UV dose of 60 $\text{kWh}/\mathrm{m}^{2}$ . This treatment is comparable to almost 40 years of continuous UV-irradiation of the AM 1.5G spectrum with module glass and UV-blocking encapsulation. The loss in pseudo efficiency of all probed industry cells remains below $3 \%_{\text{rel}}$ , for TOPCon even below 1 $\%_{\text{rel}}$ . When subjected to accelerated tests probing for light and elevated temperature induced degradation (LeTID), all industrial cells retain their high quality within a maximum deviation of 1 $\%_{\text{rel}}$ from the original pseudo efficiency. Our study shows that pathways to produce LeTID- and UVID-resistant solar cells based on modern technologies exist and are already known to some cell manufacturers.

关键词： Industries Degradation Photovoltaic systems Radiation effects Microprocessors Photovoltaic cells Computer architecture Life estimation Glass Thermal stability

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An OMNeT++-Based Approach to Narrowband-IoT Traffic Generation for Machine Learning-Based Anomaly Detection

An OMNeT++-Based Approach to Narrowband-IoT Traffic Generati...

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IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

作者： Paul Darius Denis Rangelov Philipp Lämmel Nikolay Tcholtchev SQC Quality Engineering for Urban ICT Fraunhofer Institute for Open Communication Systems Berlin Germany

The importance of security in smart city IoT applications has continued to grow in recent years, especially when critical infrastructure is involved. State-of-the-art deep intrusion detection systems (Deep IDS) help distinguish normal traffic from traffic originating from potential attackers. In this paper, we aim to describe and evaluate a pipeline to simulate a smart city NB-IoT network, generate traffic and subsequently build from it a synthetic dataset using the OMNeT++ simulator. This dataset can then be used to train different ML-algorithms for anomaly detection in deep IDS. The main goal of the present paper is to showcase a proof of concept, examples are kept simple with the possibility of a more complex application at a later point. The research forms the basis for the development of an efficient Deep IDS to be integrated into an urban IoT network in the form of a middlebox. While previous research has relied on specific use cases and mostly on computer architectures with large cpu clusters and memory capabilities, the approach proposed by us offers a simple and straight forward way to generate synthetic traffic that is detailed and closely modelled to the respective use case as well as it can be created quickly and with minimal resources, e.g. a standard laptop.

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