Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
|
Session Overview |
Date: Sunday, 17/Sept/2023 | |
5:00pm - 9:00pm | Registration Location: Hotel NovaPark |
6:00pm - 9:00pm | Welcome reception Location: Hotel NovaPark |
Date: Monday, 18/Sept/2023 | |
8:00am - 12:00pm | Registration Location: Hotel NovaPark |
8:30am - 9:00am | Opening Location: Lecture Hall |
9:00am - 9:20am | Coffee break Location: Hotel NovaPark |
9:20am - 10:00am | Keynote 1: Sławomir Hausman Location: Lecture Hall Session Chair: Paolo Di Barba Session Chair: Manfred Kaltenbacher |
|
ID: 165
/ Keynote 1: 1
Abstract submission for on-site presentation Topics: Application Keywords: Metamaterials Optimization of Metamaterials in Electromagnetics Lodz University of Technology, Poland Metamaterials are engineered materials with properties beyond what we encounter in nature. They thus allow unique and previously unattainable interactions between waves and matter. The talk will present current research in this area. It will focus on applications to contemporary (5G) and next-generation (6G and beyond) wireless communication systems. |
10:00am - 11:00am | Oral Session 1-1: Optimal Design Location: Lecture Hall Session Chair: Paolo Di Barba Session Chair: Manfred Kaltenbacher |
|
10:00am - 10:20am
ID: 133 / Oral Session 1-1: 1 Abstract submission for on-site presentation Topics: Topology optimization, Algorithms Keywords: Free shape optimization, multiphysical optimization, synchronous reluctance machines, virtual work method. Magneto-Mechanical Free Shape Optimization of Synchronous Reluctance Machines 1Univ. Grenoble Alpes, CNRS, Grenoble INP, G2ELab, Grenoble, France, France; 2Altair Engineering, Meylan, France The digest presents a free-shape optimization method which simultaneously takes 10:20am - 10:40am
ID: 128 / Oral Session 1-1: 2 Abstract submission for on-site presentation Topics: Application Keywords: Finite Element Analysis, dynamic Wireless power Transfer. Compensation networks Improved compensation networks for dynamic wireless power transfer in a multi-inductor line 1University of Padova, Italy; 2University of Pavia, Italy; 3University of Insubria, Italy The paper describes an optimization method to design the compensation networks of a wireless power transfer system considering an electrified line with more inductor buried on the road. The Finite Element Analysis is used to compute mutual and self-inductance whereas a genetic optimization algorithm is used to improve the system efficiency and transmitted power in a car moving conditions. 10:40am - 11:00am
ID: 105 / Oral Session 1-1: 3 Abstract submission for on-site presentation Topics: Application, Software methodology Keywords: electrical drive, methodology, multiphysics modelling, sizing by optimisation Methodology for sizing by optimization of an electrical drive considering a multiphysics approach Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 38000 Grenoble, France The paper describes a modelling and solving methodology of a {static converter – electric motor – control} system for its sizing by optimisation, considering the dynamic thermal heating of the machine. A co-simulation is set up for the steady state electrical system aspects and the transient thermal aspects. The simulators are coupled through a master-slave relationship with adapted time step management. A sizing by optimisation example of this system is carried out with a different optimisation algorithm according to the design specification. |
11:00am - 11:20am | Coffee break Location: Hotel NovaPark |
11:20am - 12:40pm | Oral Session 1-2: Optimal Design Location: Lecture Hall Session Chair: Bruno Sareni Session Chair: Maria Evelina Mognaschi |
|
11:20am - 11:40am
ID: 106 / Oral Session 1-2: 1 Abstract submission for on-site presentation Topics: Software methodology, Theoretical aspects and fundamentals Keywords: Automatic Differentiation, Dynamic systems, Frequency analysis, SQP Optimization Optimization on frequency constraints with FFT using Automatic Differentiation on hybrid ODE applications Grenoble Laboratory of Electrical Engineering, France Optimizing electrical systems represented by ODE and events, using their frequency spectrum is an important issue for designers. This paper presents a methodology to answer to this issue. Using gradient-based optimization algorithm, the paper proposes to simulate the electrical system according time, and then to compute its frequency spectrum. To optimize it by SQP, Automatic Differentiation is mainly used to compute the model gradients. 11:40am - 12:00pm
ID: 154 / Oral Session 1-2: 2 Abstract submission for on-site presentation Topics: Application Keywords: magnetic gear, contactless power transmission, magneto-mechanical sizing Sizing magnetic gears through optimization 1DIMEAS, Politecnico di Torino, Italy; 2DENERG, Politecnico di Torino, Italy Magnetic gears can be considered as possible power transmission systems, in substitution of classical mechanical transmissions. They are able to transmit torque, between two mechanical axes, in a contactless way, through the interaction of two coaxial permanent magnets rotors with a set of ferromagnetic poles. The performance of magnetic gears depends on several geometric and material parameters and their sizing can be approached by optimization. 12:00pm - 12:20pm
ID: 103 / Oral Session 1-2: 3 Abstract submission for on-site presentation Topics: Topology optimization, Application Keywords: 3D printer, Finite element method, Induction heating coil, Shape optimization. Shape Optimization for 3D Printed Induction Heating Coil Kindai University, Japan We present a design method for a 3D printed induction heating coil that is optimized by parameterizing the coil path and cross-section. The objective functions of the optimization are the temperature rises in the heated workpiece in the angular and longitudinal directions. The coil path optimization ensures homogeneous heating in the angular direction, while the cross-section optimization enables local heating in the longitudinal direction. We combine the optimized parameters and verify that the final shape can be printed with 3D printers. 12:20pm - 12:40pm
ID: 122 / Oral Session 1-2: 4 Abstract submission for on-site presentation Topics: Topology optimization, Theoretical aspects and fundamentals Keywords: Curved boundaries and interfaces, Magnetic field, Shape optimal design, Virtual elements. Optimal Shape Syntesis with Curved Domains in Magnetics via the Virtual Element Method 1Università di Milano-Bicocca; 2Università di Pavia We propose an innovative technique for dealing with optimal shape design problems characterised by curved boundaries between ferromagnetic and dielectric sub-regions. The proposed approach relies on the ability of the Virtual Element Method in handling meshes with polygonal elements having curved edges. The well-known TEAM 25 benchmark problem is considered as case study. |
12:40pm - 1:50pm | Lunch Location: Hotel NovaPark |
1:50pm - 2:30pm | Keynote 2: Bharath Rao Location: Lecture Hall Session Chair: Maurizio Repetto Session Chair: Bharath Varsh Rao |
|
ID: 164
/ Keynote 2: 1
Abstract submission for on-site presentation Topics: Optimal energy system management Keywords: Electricity Grid Optimization Electricity Grid Optimization in Local Energy Communities for Grid Support AIT Austrian Institute of Technology GmbH, Austria Grid reinforcement is coming. Meanwhile, it is essential to manage the power grid optimally to ensure good power quality. Intelligent power grid management by efficiently distributing grid capacity among customer assets in a low voltage distribution grid, taking into account intermittent distributed energy resources and emerging loads, could be an approach. |
2:30pm - 3:30pm | Special Session 1-1: Energy System Optimization Location: Lecture Hall Session Chair: Maurizio Repetto Session Chair: Bharath Varsh Rao |
|
2:30pm - 2:50pm
ID: 157 / Special Session 1-1: 1 Abstract submission for on-site presentation Topics: Optimal energy system management, Application, Algorithms Keywords: Basis-Oriented Time Series Aggregation, Clustering, Power Systems Optimization, Variable Renewable Energy Sources Basis-Oriented Aggregation of Power Systems Optimization Models for improved Computational Tractability Institute of Electricity Economics and Energy Innovation, TU Graz Power System Optimization Models are tools policymakers and practitioners use to evaluate and plan such systems' short, medium, and long-term evolution. The size and complexity of these models have evolved alongside their real-world counterparts to the point that they pose tractability problems that hinder their usefulness and suitability for extracting actionable insights. One of the main challenges in these models arises from their temporal structure, which makes them harder to solve as it exponentially increases the number of variables in the model; to overcome this, researchers developed temporal aggregation techniques which simplify the temporal structure of the model like representative periods and temporal downsampling, thus increasing the model's tractability. These techniques, however, come at the expense of losing sight of the interaction between short and long-term dynamics that play a critical role in the real world, like ramping or the intra-day behavior of renewable energy sources. In this work, we extend the Basis-Oriented Time Series Aggregation procedure to network flow problems and show how it greatly aggregates the model while maintaining its objective function value. 2:50pm - 3:10pm
ID: 147 / Special Session 1-1: 2 Abstract submission for on-site presentation Topics: Optimal energy system management Keywords: Design under uncertainty, multi-energy microgrid, scenarios generation, stochastic programming Comparing models for generating scenarios in the design of multi-energy microgrids under uncertainty 1Dipartimento Energia "Galileo Ferraris", Politecnico di Torino, Torino, Italy; 2LAPLACE, UMR CNRS-INPT-UPS, Université de Toulouse, 2 rue Camichel, 31071 Toulouse, France This study is in the context of the design of multi-energy microgrids under uncertainty, where the objective is to determine optimal sizes for renewable generators and flexibility assets considering stochastic parameters, such as energy demand and renewable energy sources availability. In particular, we compare existing models to generate synthetic scenarios of these parameters leveraging historical data, e.g. using Markov Chains, probability distributions, and time series analysis. The assessment focuses on their ability to generate diverse scenarios that capture key characteristics of the original data. Additionally, we conduct an application-specific assessment to examine the impact of different scenario generation methods on design optimization. This evaluation utilizes a two-stage stochastic programming approach and a three-year dataset to evaluate performance on unseen scenarios. 3:10pm - 3:30pm
ID: 146 / Special Session 1-1: 3 Abstract submission for on-site presentation Topics: Optimal energy system management, Application Keywords: Integrated Optimal Design, Robust Design, Microgrids, Battery Storage, Aging Robust Design of Microgrids using Component Models with Different Levels of Accuracy 1Université de Toulouse, LAPLACE/INP-ENSEEIHT; 2Université de Toulouse, LAAS, CNRS Robust design of microgrids is a complex optimization process requiring multiple simulations in order to integrate uncertainty variables associated with the system environment or design models. In this context, having sufficiently accurate models that are compatible with the optimization algorithms and associated computational costs represents a real challenge. In this paper, we illustrate this through the robust design of a simple microgrid with electrochemical storage. Based on battery models that couple energy efficiency and aging, we develop an approach for choosing the right level of precision to match the microgrid's optimization criteria or constraints. |
3:30pm - 3:50pm | Coffee break Location: Hotel NovaPark |
3:50pm - 5:10pm | Special Session 1-2: Energy System Optimization Location: Lecture Hall Session Chair: Maurizio Repetto Session Chair: Bharath Varsh Rao |
|
3:50pm - 4:10pm
ID: 116 / Special Session 1-2: 1 Abstract submission for on-site presentation Topics: Optimal energy system management, Inverse problem, Software methodology, Algorithms Keywords: Energy flexibility, Model Predictive Control, Optimal energy management, Optimisation, Thermal comfort Methodology for the Evaluation of Model Predictive Controllers for Optimization of Energy Consumption and Thermal Comfort 1Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, F-38000 Grenoble, France; 2CSTB, F-06904 Sophia Antipolis, France This paper focuses on a methodology developed to evaluate innovative control approaches for optimizing energy management in the context of energy flexibility, rising energy consumption, and thermal discomfort. To allow the development and testing of this evaluation methodology, various architectures of Model Predictive Controllers, which are renowned for their ability to address these challenges effectively, have been implemented. To assess the impact of predictive control on energy systems management optimization, the methodology is based on a multi-objective set of KPIs. Therefore, several performance indicators are defined and implemented to evaluate the controllers' effectiveness. Evaluations are carried out by integrating the controllers with a bottom-up dynamic simulation platform dedicated to district energy calculations, as an emulation tool. This offers, at last, an architecture and a methodology for comparing the performances of controllers, especially model predictive controllers. 4:10pm - 4:30pm
ID: 123 / Special Session 1-2: 2 Abstract submission for on-site presentation Topics: Optimal energy system management Keywords: Battery Size Optimization, Demand Side Management, Load Control, Photovoltaic Generation, Renewable Energy Community Optimizing Renewable Energy Communities for Local Consumption Patterns in Hungary 1Budapest University of Technology and Economics, Hungary; 2Politecnico di Torino, Italia; 3Centre for Energy Research, Hungary Recent studies in Italy have shown that Renewable Energy Communities (RECs) can provide a viable and economically beneficial alternative to traditional energy supply. In addition, the 2019 EU directive mandates that the share of energy from renewable sources will be at least 32% by 2030. As Hungary is currently in the process of developing REC regulations, this work aims to devise an optimal energy management scheme for RECs, tailored to the Hungarian economic and infrastructural environment. The scheme is based on an optimal energy management framework utilizing mixed integer linear programming (MILP) to control a community energy storage system. The scheme is extended to take into account the unique consumption patterns in Hungary, especially the high penetration of controlled loads. In Hungary, controlled loads are managed by the electricity provider through demand-side management techniques, allowing partial control over their operation to effectively manage peak hours. This article highlights the benefits of utilizing load control in REC energy management, increasing the flexibility of the REC and as a result, leading to reduced optimal community battery size. To assess the results, a case study of four low-voltage Hungarian transformer areas is conducted. The optimal ratio of photovoltaic penetration and community battery size is determined, and economic key performance indicators are evaluated to assess the financial viability of these communities. 4:30pm - 4:50pm
ID: 160 / Special Session 1-2: 3 Abstract submission for on-site presentation Topics: Optimal energy system management, Application Keywords: energy storage, power systems, time dynamics Co-optimization of short- and long-term storage in power systems 1Technische Universität Graz, Austria; 2TNO, 1043 NT Amsterdam, the Netherlands This talk analyzes different optimization models for evaluating investments in Energy Storage Systems (ESS) in power systems with high penetration of Renewable Energy Sources (RES). First of all, two methodologies proposed in the literature are extended. The enhanced models are the ‘System States Reduced Frequency Matrix' model, and the ‘Enhance Representative Periods’ model which guarantees some continuity between representative periods, e.g. days, and introduces long-term storage into a model originally designed only for the short term. All these models are compared using an hourly unit commitment model as a benchmark. While the system state models provide an excellent representation of long-term storage, their representation of short-term storage is frequently unrealistic. The enhanced representative period model, on the other hand, succeeds in approximating both short- and long-term storage, which leads to almost 10 times lower error in storage investment results in comparison to the other models analyzed. 4:50pm - 5:10pm
ID: 120 / Special Session 1-2: 4 Abstract submission for on-site presentation Topics: Optimal energy system management Keywords: Heuristic optimization, Mixed Integer Linear Programming, Charging of electrical buses, charging scheduling, peak grid power Optimal Charging Schedule for Large Fleets of EV Politecnico di Torino, DENERG "G. Ferraris", Torino, Italy The charging of electrical vehicles is often limited by electrical grid infrastructural constraints: the larger the number of electrical vehicles the higher the value of electrical energy needed to charge them and, in a given time interval, the power requested to the grid. An optimal strategy can distribute over time the charging sessions so that the grid peak power is reduced. The present work defines the constraints of an electrical bus charging system and presents two optimization strategies: one based on heuristic strategy and another on Mixed Integer Linear Programming. The two strategies can be used alternatively or in sequence: the first providing a starting point for the second. The optimal procedures are applied to the case of charging system for a fleet of electrical buses and some preliminary results are presented. |
Date: Tuesday, 19/Sept/2023 | |
8:30am - 9:10am | Keynote 3: Peter Gangl Location: Lecture Hall Session Chair: Peter Gangl Session Chair: Manfred Kaltenbacher |
|
ID: 152
/ Keynote 3: 1
Abstract submission for on-site presentation Topics: Topology optimization Keywords: deflation, electric machine, multiple solutions, topology optimisation Topology optimisation of electric machines: quest for global optima Johann Radon Institute for Computational and Applied Mathematics (RICAM) It is well-known that real-world topology optimisation problems often exhibit multiple local minima and that derivative-based methods are prone to getting stuck in a possibly suboptimal local solution. We present a way of computing multiple locally optimal solutions to topology optimisation and illustrate the method for a two-pole synchronous reluctance machine. |
9:10am - 10:30am | Special Session 2-1: Topology Optimization Location: Lecture Hall Session Chair: Peter Gangl Session Chair: Manfred Kaltenbacher |
|
9:10am - 9:30am
ID: 141 / Special Session 2-1: 1 Abstract submission for on-site presentation Topics: Topology optimization Keywords: FEM, IPM motor, Mechanical strength, NSGA2, Topology and parameter optimization Topology and Parameter Optimization of IPM Motor Considering Mechanical Strength by Stress and Connection Constraints Kyoto University, Japan Topology and parameter optimization of IPM motors can be used to design motor shapes. In this paper, an IPM motor with high torque and high mechanical strength is designed by incorporating stress and connection constraints in addition to electromagnetic field analysis. The multi-objective topology optimization was performed, and feasible Pareto solutions were obtained. 9:30am - 9:50am
ID: 137 / Special Session 2-1: 2 Abstract submission for on-site presentation Topics: Topology optimization, Application Keywords: Synchro-reluctant machine, magneto-elastic coupling, topology optimization Topology optimization considering magneto-elastic behavior CentraleSupélec, Group of Electrical and ELectronic engineering, Paris, France The present paper proposes a methodology based on topology optimization to design a synchro-reluctant motor considering magneto-elastic coupling. Stress on the rotor related to inertia forces and press-fitting effect on the stator are considered. The magneto-mechanical coupling is taken into account using a simplified magneto-elastic analytical model for the material behavior law. The objective is to maximize the machine's torque while considering an equality constraint on the volume. The topology optimization approach is based on a discrete BESO algorithm. 9:50am - 10:10am
ID: 108 / Special Session 2-1: 3 Abstract submission for on-site presentation Topics: Topology optimization Keywords: Boundary Conditions, Electrical Machine, Filtering, Multimaterial Topology Optimization Multimaterial Filtering applied to Topology Optimization of a Permanent Magnet Synchronous Machine 1Université Paris-Saclay, ENS Paris-Saclay, CNRS, SATIE; 2Université Paris-Saclay, CY Cergy Paris Université, CNRS, SATIE; 3Université Paris-Saclay, CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS; 4Conservatoire national des arts et métiers, LMSSC; 5HESAM Université This paper proposes a generalized multi-material filtering formalism in density-based topology optimization. This work’s novelty is the consideration of the periodic and anti-periodic boundary conditions commonly used to simulate electrical machines, which change the nature of the materials located outside the simulation zone. It affects the filtering, which relies on a convolutive averaging of the materials’ properties near the boundaries. The implementation is detailed and applied to the topology optimization of a permanent magnet machine rotor. 10:10am - 10:30am
ID: 127 / Special Session 2-1: 4 Abstract submission for on-site presentation Topics: Topology optimization, Application Keywords: Optimal Control, Electrical Machines, Robust Optimization, IGA Robust Design Optimization of Electrical Machines with IGA TU Darmstadt, Germany We investigate a PDE constrained design optimization problem with an uncertain |
10:30am - 10:50am | Coffee break Location: Hotel NovaPark |
10:50am - 12:10pm | Special Session 2-2: Topology Optimization Location: Lecture Hall Session Chair: Peter Gangl Session Chair: David Lowther |
|
10:50am - 11:10am
ID: 140 / Special Session 2-2: 1 Abstract submission for on-site presentation Topics: Topology optimization Keywords: space-time, shape derivative, optimization, electric motors Space-time shape optimization of rotating electric machines 1Johann Radon Institute of Computational and Applied Mathematics (RICAM), Linz, Austria; 2Laboratoire Jean Kuntzmann - Universit´e Grenoble Alpes, France In the present work we propose a different approach to simulate and optimize a 11:10am - 11:30am
ID: 142 / Special Session 2-2: 2 Abstract submission for on-site presentation Topics: Topology optimization Keywords: Topology optimization, material distribution, wave propagation Topology optimization of passive mode-converters and multiplexers for acoustic and electromagnetic wave propagation 1Karlstad University, Sweden; 2Umeå University, Sweden This presentation considers the problems of designing passive devices for mode conversion and multiplexing in the context of acoustic and electromagnetic wave propagation using topology optimization. Although these problems may appear similar, this talk focuses on the differences between the two cases and, in particular, the unique features of the electromagnetic problem. 11:30am - 11:50am
ID: 148 / Special Session 2-2: 3 Abstract submission for on-site presentation Topics: Topology optimization Keywords: Adjoint method, magnetic circuit, topology optimization, volume integral method Development of a Topological Optimization Method using 3D Volume Integral Equations Laboratoire LAPLACE, France This work presents topological optimization method to design magnetic cricuit in 3D. This method is based on adjoint method using the equations of volume integral methods. Thus, our approach makes it possible to reduce the computational time and the memory compared to classical topology optimization methods based on finite element calculations. 11:50am - 12:10pm
ID: 149 / Special Session 2-2: 4 Abstract submission for on-site presentation Topics: Topology optimization, Inverse problem Keywords: Topology Optimization, Adjoint Method, Inverse Problem, Electromagnetism, Structural Mechanics Gradient-based Topological Optimization for 3D Magnetic Circuit Design with Mechanical Considerations LAPLACE-CNRS, ENSEEIHT, France In this paper, density-based topological optimization is used to design a simple magnetic circuit. This study aims to minimize the mechanical compliance of a circuit subjected to a surface force and under a constraint in order to generate a specific magnetic field in a target zone. We propose an approach based on the SIMP approach and the adjoint method to solve the topological optimization problem applied to design 3D magnetic circuit. |
12:10pm - 1:10pm | Lunch Location: Hotel NovaPark |
1:10pm - 2:30pm | Oral Session 2: Model Order Reduction Location: Lecture Hall Session Chair: Jan Sykulski Session Chair: Thomas Bauernfeind |
|
1:10pm - 1:30pm
ID: 121 / Oral Session 2: 1 Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: Multi-objective optimization, neural network surrogate model Multi-objective Optimization of Inductors Based on Neural Network Graduate School of Information Science and Technology, Hokkaido University, Japan This work proposes a method to perform multi-objective optimization of inductors using a surrogate model based on neural network (NN) instead of finite element method (FEM). Traditional design methods require repetitive FEM calculations, resulting in a very long overall design time. In contrast, this work utilizes a well-trained neural network to predict magnetic core loss, the volume and saturation current, avoiding repetitive FEM evaluations and significantly reducing the total time for inductor optimization. 1:30pm - 1:50pm
ID: 125 / Oral Session 2: 2 Abstract submission for online presentation Topics: Theoretical aspects and fundamentals Keywords: Electromagnetic Computation, Neural Networks, Surrogate Models Learning to solve Electromagnetic Problems: a Comparison among Different Machine Learning Approaches 1Università della Campania "Luigi Vanvitelli", Italy; 2Università di Pisa, Italy The possibility of adopting data-driven procedure to create a model of electromagnetic problems has been investigated since long. Recently, the availability of high-performance computing systems even at desktop level has provided different model of “artificial intelligence” processors able to deal with such a problem, examples being Physically-Informed Neural Networks, Generative Adversarial Networks. Etc. In this study, using a simple yet representative benchmark problem, some of the most common solutions are compared, with the aim of highlighting respective advantages and drawbacks. 1:50pm - 2:10pm
ID: 102 / Oral Session 2: 3 Abstract submission for on-site presentation Topics: Application, Algorithms Keywords: Eddy currents, Gain tuning, Impulse response, Levitation devices, Model order reduction Optimal Parameter Estimation for Conductor Movement Using Cauer Ladder Network Representation and Virtual Time-response Based Iterative Gain Evaluation and Redesign 1Kindai University, Japan; 2Doshisya University, Japan; 3Kyoto University, Japan This article propose an optimal design of control gain parameters using a Cauer ladder network with constant basis functions and an Impulse-response model based V-Tiger. We model the TEAM Workshop Problem 28 by the Cauer ladder network method, which is a model order reduction technique, and enable the analysis by a circuit simulator such as Simulink. We determine the control gain parameters by applying the Impulse-response model based V-Tiger to the data obtained from the analysis. This method is useful for efficiently determining control parameters on simulation. 2:10pm - 2:30pm
ID: 101 / Oral Session 2: 4 Abstract submission for on-site presentation Topics: Algorithms Keywords: EM-driven design, parameter tuning, global optimization, inverse modelling, simulation models Globalized High-Frequency Optimization Using Inverse Models 1Reykjavik University; 2Gdansk University of Technology This paper discusses a novel technique for quasi-global parameter tuning of high-frequency structures using response features and inverse surrogate models. Our approach enables a low-cost identification of the most promising parameter space regions, followed by a fine tuning by means of local routines. The presented method is validated using several high-frequency structures. Its global search capability and computational efficiency are demonstrated by extensive comparisons with multiple-start local search as well as nature-inspired optimizers. |
2:30pm - 2:50pm | Poster Session - Part 1: Online Poster Videos Location: Lecture Hall Session Chair: Jan Sykulski Session Chair: Thomas Bauernfeind |
|
ID: 109
/ Poster Session - Part 1: 1
Abstract submission for online presentation Topics: Topology optimization Keywords: Multi-material, topology optimization, multi-segmented, interior permanent magnet motor. A Novel Multi-material Topology Optimization Method for Multi-segmented Permanent Magnet motors Nagaoka University of Technology, Japan This paper presents a novel multi-material topology optimization method for multi-segmented permanent magnet motors. In the proposed method, optimization process is divided into two stages. In the first step, multi-material topology optimization, in which magnetization vector of each magnet element is defined stochastically, is performed to determine the rough magnet arrangement. In the second step, the geometry obtained in the first step is used as the initial solution, and detailed design is performed. To validate the effectiveness, the proposed method is applied to the shape optimization problem of a multi-segmented permanent magnet motor. ID: 111
/ Poster Session - Part 1: 2
Abstract submission for online presentation Topics: Topology optimization Keywords: Covariance matrix adaptation evolution strategy, Inductor, Topology optimization A Topology Optimization of on-chip Planer Inductor Based on Evolutional on/off Method and CMA-ES Muroran Institute of Technology, Japan This paper presents a topology optimization of on-chip planar inductors based on evolutional on/off method and CMA-ES. The conductor shape of the inductor is expressed through the spatially-smooth function and its variables are optimized by CMA-ES. It is shown that the resultant inductor shape is varied depending on the given specifications. ID: 112
/ Poster Session - Part 1: 3
Abstract submission for online presentation Topics: Topology optimization Keywords: Asymmetric flux barrier, topology optimization, multi-objective, frozen permeability method. Study on Torque Ripple Reduction Effect of Asymmetric Flux Barrier in Concentrated Winding IPM Motor by Topology Optimization and Frozen Permeability Method Nagaoka University of Technology / Japan In this paper, topology optimization and the frozen permeability method is used to verify the effect of asymmetric flux barriers on torque ripple reduction. Although an interior permanent magnet motor with an asymmetric flux barrier has been proposed in previous studies, the number of references is limited and the mechanism is unclear. In this paper, the geometry of symmetric and asymmetric flux barriers is optimized using topology optimization. Torque analysis is then performed for the obtained optimized geometry, and the frozen permeability method is used to separate the cogging torque and the load torque. The torque separation results reveal the torque ripple reduction effect due to offsetting of cogging and load torque, which has not been reported in previous studies. |
2:50pm - 3:00pm | Coffee break Location: Hotel NovaPark |
3:00pm - 4:15pm | Poster Session - Part 2: Discussions with Authors Location: Lecture Hall Session Chair: Christian Magele Session Chair: David Lowther Session Chair: Olivier Chadebec Session Chair: Peter Gangl |
|
ID: 144
/ Poster Session - Part 2: 1
Abstract submission for on-site presentation Topics: Theoretical aspects and fundamentals Keywords: Eddy currents, moving conductor, permanent magnet, magnetic dipole, surface integration. Calculation of Lorentz Force with Surface Approach - Revisited 1Advanced Electromagnetics Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany; 2Biomedical Engineering Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany We derive surface integrals for calculating the Lorentz force acting on a non-magnetic ID: 110
/ Poster Session - Part 2: 2
Abstract submission for on-site presentation Topics: Inverse problem, Application, Software methodology Keywords: Minimum norm estimation, FreeSurfer, MNE Python EEG source reconstruction in mobile application scenarios Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany The reconstruction of active sources in the human brain based on electroencephalography (EEG) is challenging in many respects. For high-quality clinical source reconstruction good signal quality, individual head images for realistic volume conductor models, as well as complex software tools for data processing are needed. However, there is an increasing demand for mobile EEG applications and, thus, the need for source reconstruction in areas like sports science or rehabilitation. In this study, we explored the possibility of using dry EEG electrodes for source reconstruction applying an averaged head model for forward computation, and developed an easy-to-use MS-Windows-based data processing pipeline in Python. Right-hand motor execution (ME) and imagination (MI) EEG data, which are typically used in brain-computer interface scenarios, were used to test our pipeline. Preliminary results show enhanced source activity over the contralateral motor cortex for both, ME and MI. We could demonstrate that source localization is feasible for mobile dry EEG scenarios such as in rehabilitation applications. ID: 104
/ Poster Session - Part 2: 3
Abstract submission for on-site presentation Topics: Application, Theoretical aspects and fundamentals, Algorithms Keywords: Biot-Savart, ferrite magnet, Gaussian process regression, permanent magnet, truncated singular value decomposition method Comparison of Gaussian process regression and truncated singular value decomposition methods for estimating magnetic fields of permanent magnets 1KINDAI University, Japan; 2Kobe University, Japan The magnetization of commercial permanent magnets is uneven, and the spatial magnetic field is distorted by individual differences. Therefore, it is necessary to measure the magnetic field of each magnet, but measuring the three-dimensional magnetic field distribution takes time. Thus, we measured the magnetic field near the permanent magnet and estimated the spatial magnetic field using two methods: the Gaussian process regression method and the truncated singular value decomposition method. We also calculated the average error for the measured values in two methods. As a result, we found that the average error of the truncated singular value decomposition method was smaller than that of the Gaussian process regression method. ID: 139
/ Poster Session - Part 2: 4
Abstract submission for on-site presentation Topics: Inverse problem Keywords: image reconstruction, image processing algorithms, magnetoacoustic effects, magnetoacoustic tomography with magnetic induction, tomography The Influence of Shape and Duration of Excitation Pulse on the Quality Reconstruction in Magnetoacoustic Tomography with Magnetic Induction West Pomeranian University of Technology in Szczecin, Poland The main goal of this paper is to analyse the influence of the shape and duration of the excitation pulse on the quality of reconstructed images in the inverse problem of the magnetoacoustic tomography with magnetic induction (MAT-MI). To solve this problem, the obtained reconstruction images were subjected to a binarization process, and their quality in relation to the original image was determined using a correlation and PSNR indicators. The research was conducted based on the reconstruction results obtained for several different shapes and durations of the excitation pulse. ID: 135
/ Poster Session - Part 2: 5
Abstract submission for on-site presentation Topics: Application Keywords: Accelerator, Electromagnets, Gaussian process regression, Magnetic hysteresis, Play model Efficiency Enhancement of Beam Commissioning by Hysteresis Modeling based on BI Interpolation of Accelerator Magnets 1KINDAI University, Japan; 2JMAG Division, JSOL, Japan In accelerator systems, magnetic field analysis incorporating the effect of magnetic hysteresis is essential for achieving high efficiency in beam commissioning using electromagnets. The play model is one of the hysteresis models that uses a shape function generated from measured BH loops as input. However, numerous BH loops are needed to account for minor loops, such as those caused by beam misalignment of accelerator magnets, and these measurements are time-consuming. Therefore, we aimed to develop a beam commissioning method that utilizes the play model by interpolating arbitrary hysteresis loops from measured data using Gaussian process regression in combination with the reduced play model which we have already proposed. ID: 158
/ Poster Session - Part 2: 6
Abstract submission for on-site presentation Topics: Topology optimization, Inverse problem, Algorithms Keywords: Convolutional Neural Networks, Shape Optimization, Inverse problems, Electromagnetic Shield Deep Convolutional Neural Network for Shape Optimization of Electromagnetic Shield 1Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy; 2Department of Theoretical Electrical Engineering and Applied Computer Science, West Pomeranian University of Technology, Szczecin, Poland This paper presents novel procedure for optimizing the shape of conductive shields for low and medium frequency magnetic fields using convolutional neural networks (CNNs). In general, shape optimization is a specific class of so called ill-posed inverse problems, because objectives have typically many local minima when varying shapes. In the first approach a CNN is used as a surrogate model of the forward problem, while in the second approach a CNN is trained to solve the inverse problem directly. The case study presented in this paper involves the shape design of an electromagnetic shield placed in a sinusoidal uniform magnetic field under given constraints. ID: 126
/ Poster Session - Part 2: 7
Abstract submission for on-site presentation Topics: Topology optimization, Theoretical aspects and fundamentals Keywords: Computational electromagnetics, optimization methods, shielding modelling and methods Optimal Parameters of a Non-magnetic Conducting Cylindrical Double-Shell Shield Rotating in a Time-Harmonic Magnetic Field West Pomeranian University of Technology, Poland This paper first presents analytical expressions for the effectiveness of shielding time-harmonic magnetic fields by means of a rotating double-shell cylindrical shield made of non-magnetic material. Next, the procedure is described for finding the optimal distance between the two shells and their thickness (the same for both shells) for the maximum reduction of the weight of the double-shell shield (which is equivalent to reducing the active cross-sectional area) compared to a thick single shield for a given value of the shielding factor. ID: 156
/ Poster Session - Part 2: 8
Abstract submission for on-site presentation Topics: Application Keywords: data-driven modelling, drug targeting, magnetic particles, optimal control Data-driven Optimization for Enhanced Magnetic Drug Targeting 1Department of Electromechanical, Systems and Metal Engineering, Ghent University, B-9000 Gent, Belgium; 2MIRO core lab Flanders Make, B-3920 Lommel, Belgium Magnetic particle-based targeted drug delivery is gaining momentum in recent years. ID: 134
/ Poster Session - Part 2: 9
Abstract submission for on-site presentation Topics: Inverse problem Keywords: Demagnetized Region, Magnetization Estimation, Permanent Magnet, P-SiGrad, SiGrad Estimation of Demagnetized Regions in Permanent Magnet Using Pinching-type Sigmoid-Function-based Gradient Method (P-SiGrad) Hosei University, Japan In recent years, the development of electric vehicles is being actively pursued. Several permanent magnet synchronous motors are installed in xEVs. To improve the manufacturing quality of PM motors, it is essential for revealing the magnetization state inside PMs at the early design stage. Therefore, a method called SiGrad has been proposed to numerically estimate the magnetization distribution using the magnetic flux density measured around PMs. As a result, the effective performance of SiGrad is illustrated in the estimation problem of PM with the homogeneous magnetization. However, its performance regarding the estimation of inhomogeneous distribution with demagnetized region is not investigated. In this paper, the applicability of SiGrad to the demagnetized magnetization estimation is verifed, and Pinching-type SiGrad (P-Sigrad) is proposed to enhance the estimation accuracy of SiGrad. ID: 138
/ Poster Session - Part 2: 10
Abstract submission for on-site presentation Topics: Topology optimization Keywords: DC-DC Converter, Finite Element Analysis (FEA), Topology Optimization, Time Domain Adjoint Variable Method (TDAVM) Sensitivity Analysis Using Time-domain Adjoint Variable Method for Topology Optimization of Electromagnetic Shielding for Wire Harness Driven by DC-DC Converter Hosei University, Japan In recent years, because the carbon neutral evokes the widespread of electrification, the demand of electric vehicles (xEV) is increasingly growing. The DC-DC converter loaded on xEV generates electromagnetic noise (EM) that can interfere with other equipment. Therefore, an effective electromagnetic shielding around the wire harness connected to the DC-DC converter is required by the design optimization method. In this paper, to establish the design method based on the topology optimization, the accuracy of the sensitivity analysis using the time domain adjoint variable method is investigated in the electromagnetic shielding model. ID: 130
/ Poster Session - Part 2: 11
Abstract submission for on-site presentation Topics: Inverse problem Keywords: complex conductivity, quasistatic, FE simulation, Green’s function, Jacobian Efficient Jacobian Computations for Complex ECT/EIT Imaging 1Graz University of Technology, Austria; 2University of Otago, New Zealand The reconstruction of the spatial complex conductivity σ + jωε0εr from complex valued impedance measurements forms the inverse problem of complex electrical impedance tomography, or complex electrical capacitance tomography, respectively. Regularized Gauß-Newton schemes have been proposed for their solution. However, the necessary computation of the Jacobian is known to be computationally expensive, as standard techniques such as adjoint field methods require additional simulations. In this work we show a more efficient way to computationally access the Jacobian matrix. In particular the presented techniques do not require additional simulations, making the use of the Jacobian free of additional computational costs. ID: 118
/ Poster Session - Part 2: 12
Abstract submission for on-site presentation Topics: Application Keywords: Monte Carlo tree search, optimal design, wireless power transfer systems Monte Carlo Tree Search Applied to Design of Wireless Power Transfer System 1Graduate School of Information of Technology, Hokkaido University; 2OMRON Corporation; 3Graduate School of Engineering, Nagasaki University An automatic design optimization of a wireless power transfer system is performed using Monte Carlo tree search. Several key factors, i.e., the compensation network, shapes and geometrical parameters of the core are determined after searches, in order to achieve the high transfer efficiencies for nonmisaligned and misaligned cases. This work demonstrates the effectiveness of Monte Carlo tree search in achieving design optimization for wireless power transfer systems. ID: 129
/ Poster Session - Part 2: 13
Abstract submission for on-site presentation Topics: Application Keywords: Cauer circuit, Eddy current, Homogenization method Homogenized Finite Element Analysis of Motor Windings Based on Cauer circuit Hokkaido University, Japan The eddy current loss of stator windings in motor due to the skin and proximity effect cannot be ignored, especially when the input carrier harmonics increases. In this work, a semi-analytical homogenization method is used to calculate the impedance of a single tooth model in permanent-magnet synchronous motor. An optimization problem is solved to identify the circuit parameters in the Cauer circuit which has the impedance obtained by the homogenized analysis. The Cauer circuit can be used for a more effective time-domain analysis considering magnetic hysteresis. ID: 131
/ Poster Session - Part 2: 14
Abstract submission for on-site presentation Topics: Application Keywords: Conductive shielding, continuum sensitivity, design optimization, eddy currents, level set method Level set based design optimization of conductive shields for eddy current systems using continuum sensitivity analysis Sungkyunkwan University, Korea, Republic of (South Korea) This study proposes an optimization method for magnetic shielding in eddy current systems through the design of conductive shields using the level set method. The shape of the conductive shield was represented through the level set function, and the shape deformation was performed by solving the level set equation. The expression of the design velocity in the level set equation was defined based on the continuum sensitivity of the eddy current system to the conductive shield shape. The proposed method was verified by applying it to the conductive shielding design of the magnetic induction tomography system. ID: 155
/ Poster Session - Part 2: 15
Abstract submission for on-site presentation Topics: Topology optimization, Application, Software methodology Keywords: Design of experiments optimization, Neural network-modelling, multi-objective and multi-physics optimization, topology optimization, robustness and sensitivity analysis Optimization of Electromagnetics Layout for E-Machine in Electric Cars: Achieving High Performance, Efficiency and NVH AVL List GmbH, Austria The design and optimization of the electromagnetic layout of E-Machines in electric vehicles play a crucial role in achieving high-performance and efficient propulsion systems. This abstract paper explores the significance of optimization techniques in the layout of electromagnetic components within electric vehicle (EV) powertrains, with a specific emphasis on addressing noise, vibration, and harshness (NVH) considerations. Various aspects of the electromagnetic layout optimization are discussed, encompassing the geometric arrangement of motor components such as stator winding, rotor structure, and permanent magnets, as well as the selection of suitable materials. The paper addresses the challenges associated with striking a balance between compact design, cooling efficiency, electromagnetic performance, NVH characteristics and cost . An emphasis is placed on conducting multi-objective optimizations to obtain optimal E-Machines that excel in performance and NVH metrics. The utilization of advanced simulation tools and optimization algorithms is explored, providing engineers with the means to model and analyze electromagnetic characteristics, evaluate design alternatives, and identify areas for improvement. The paper highlights the benefits of simulation-based optimization, which include reduced development time, cost savings, and enhanced design accuracy. Furthermore, the paper presents case studies and real-world examples where optimization techniques have been successfully applied to the electromagnetics layout of E-Machines in electric vehicles. These examples illustrate the practical implementation of optimization methods and their impact on improving motor efficiency, reducing losses, and enhancing overall vehicle performance while considering NVH aspects. ID: 153
/ Poster Session - Part 2: 16
Abstract submission for on-site presentation Topics: Topology optimization, Application Keywords: reverberation chambers, sensitivity analysis, surrogate models Sensitivity Analysis with Various Parameters in Undermoded Reverberation Chambers 1Budapest University of Technolgy and Economics/Robert Bosch Kft., Hungary; 2Robert Bosch Kft., Gyömrői út 104., H-1103 Budapest, Hungary Sensitivity analysis (SA) is performed in this work, including various parameters and ID: 161
/ Poster Session - Part 2: 17
Abstract submission for on-site presentation Topics: Application Keywords: SMT ferrite beads, surrogate modeling, EM-based design Surrogate Based Optimization of SMT Ferrite Beads for EMI Filters 1Silicon Austria Labs, TU-Graz SAL GEMC Lab, Austria; 2Institute of Fundamentals and Theory in Electrical Engineering, Graz University of Technology, Graz, Austria Parasitic electromagnetic (EM) effects within passive components are a fundamental issue in EMI filter applications when certain filter specifications must be met. In this work, a surrogate model based optimization methodology is used to identify an ideal geometry of a surface-mounted (SMT) ferrite bead to reduce its parasitic capacitance while a maximal inductance and consequently a maximal impedance is provided. The identified geometry exhibits an ideal device behavior up to 1 GHz. ID: 114
/ Poster Session - Part 2: 18
Abstract submission for on-site presentation Topics: Inverse problem, Algorithms Keywords: finite element method, inverse scheme, magnetic material, numerical analysis Comparison of a quasi Newton method using Broyden's update formula and an adjoint method for determining local magnetic material properties of electrical steel sheets 1Graz University of Technology; 2University of Klagenfurt
In this work, two different approaches for solving an inverse problem to determine the local magnetic material properties of electrical steel sheets are compared. The first approach involves a quasi Newton method approximating the Jacobian with Broyden's update formula and the second is an adjoint method. To handle the ill-posedness of the inverse problem, a Thikonov regularization is used for both methods and the regularization parameter is computed via Morozov's discrepancy principle.
ID: 162
/ Poster Session - Part 2: 19
Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: Optimization, identifiability analysis, magnetic permeability, finite element method Optimization of the Sensor Positions of a Measurement System for the Determination of Local Magnetic Material Properties Graz University of Technology The aim of this work is to optimize the sensor positions of a sensor-actuator measurement system for identifying local variations in the magnetic permeability of cut steel sheets. Before solving the actual identification problem, i.e. finding the material distribution, the sensor placement of the measurement setup as well as the positions of the system relative to the steel sheets should be improved in order to increase the identifiability of the material distribution. For the objective function of this design optimization the Fisher information matrix (FIM) is used, which allows to quantify the amount of information that the measurements carry about the unknown parameters. The forward problem is solved by the finite element method. |
7:00pm - 10:00pm | Conference Dinner |
Date: Wednesday, 20/Sept/2023 | |
8:30am - 10:10am | Oral Session 3-1: Biomedical Application/Inverse Problems Location: Lecture Hall Session Chair: Jens Haueisen Session Chair: Elisabetta Sieni |
|
8:30am - 8:50am
ID: 107 / Oral Session 3-1: 1 Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: magnetic dipole fit, Magnetic Marker Monitoring Online magnetic dipole localization with improved stability Physikalisch-Technische Bundesanstalt, Germany We stabilized the general Magnetic Marker Monitoring approach to obtain a more robust, reliable online reconstruction of a single magnetic dipole source form acquired multichannel magnetic field measurements with millisecond temporal resolution. By expansion of our smart approach the presence of multiple magnetic dipole sources can efficiently be analysed. 8:50am - 9:10am
ID: 150 / Oral Session 3-1: 2 Abstract submission for on-site presentation Topics: Application Keywords: Electric field simulations, Transorbital electrical stimulation, Optimization, Visual Field Restoration Optimization Pipeline for Electrode Positioning in Transorbital Electrical Stimulation 1Technische Universität Ilmenau, Germany; 2neuroConn GmbH, Ilmenau, Germany; 3Universitätsmedizin Göttingen, Germany; 4Department of Neurology, Biomagnetic Center, University Hospital Jena, Germany We aim to establish an optimization pipeline for individualized electrode positioning in repetitive 9:10am - 9:30am
ID: 151 / Oral Session 3-1: 3 Abstract submission for on-site presentation Topics: Inverse problem, Application, Theoretical aspects and fundamentals Keywords: Maxwell's Equations, Parabolic Transmission Problem, Lorentzian Nanoparticle, Plasmonic and Dielectric Resonances. Heat Generation Using Lorentzian Nanoparticles. The Full Maxwell System 1Radon Institute (RICAM), Austrian Academy of Sciences, Austria; 2Johannes Keplar Universität Linz, Austria We analyse and quantify the amount of heat generated by a nanoparticle, injected in a background medium, while excited by incident electromagnetic waves. These nanoparticles are dispersive with electric permittivity following the Lorentz model. The purpose is to determine the quantity of heat generated extremely close to the nanoparticle (at a distance proportional to the radius of the nanoparticle). This study extends our previous results, derived in the 2D TM and TE regimes, to the full Maxwell system. We show that by exciting the medium with incident frequencies close to the Plasmonic or Dielectric resonant frequencies, we can generate any desired amount of heat close to the injected nanoparticle while the amount of heat decreases away from it. These results offer a wide range of potential applications in the areas of photo-thermal therapy, drug delivery, and material science, to cite a few. 9:30am - 9:50am
ID: 136 / Oral Session 3-1: 4 Abstract submission for on-site presentation Topics: Inverse problem, Application, Algorithms Keywords: beamformer, MEG, MNE-CPP, real-time, source reconstruction Real-Time Beamformer Application for MEG Source Reconstruction in MNE-CPP 1Technische Universität Ilmenau, Germany; 2UMIT TIROL, Austria A beamformer application for real-time source reconstruction was implemented for the open-source framework MNE-CPP. The performance of the new beamformer application was investigated regarding computation speed for simulated magnetoencephalography (MEG) data. Preliminary results show that a single source is reconstructed at the expected location and within a time sufficient for real-time applications. 9:50am - 10:10am
ID: 145 / Oral Session 3-1: 5 Abstract submission for online presentation Topics: Inverse problem, Application Keywords: EEG, Epilepsy, Functional Connectivity, Phase Lag Index, Seizures Graph-based Functional Connectivity Analysis and Inverse Problem of EEG in Subjects with Epilepsy 1Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Italy; 2DICEAM Department, University “Mediterranea” of Reggio Calabria, Italy Studying changes in cortical sources and functional connectivity in subjects with epilepsy can offer valuable insights into the alterations caused by the disease. To investigate these changes, a customized pipeline is used to compute functional connectivity based on EEG signals measured on the scalp. The inverse problem solution, which is a computational approach used to estimate the related cortical source areas, is proposed to identify detectable pre-ictal functional activities at source levels. This approach allows to compare the alterations occurring in both the electrodes and cortical sources during the pre-ictal state of the brain in subjects with epilepsy. Graph measures based on Phase Lag Index (PLI) are employed to quantify phase differences between signals originating from distinct brain areas, while considering their corresponding connection strengths, integration and segregation. This analysis assesses the level of connectivity and information exchange among different brain regions, investigating mechanisms and potential markers associated with epileptic activity. Preliminary results of the connectivity analysis will be presented, along with the necessity of determining cortical sources through the estimation of the inverse problem for accurate identification of the anomaly. |
10:10am - 10:30am | Coffee break Location: Hotel NovaPark |
10:30am - 11:50am | Oral Session 3-2: Inverse Problems/Numerical Methods Location: Lecture Hall Session Chair: Silvia Gazzola Session Chair: Daniel Baumgarten |
|
10:30am - 10:50am
ID: 132 / Oral Session 3-2: 1 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Hysteresis, Inverse problems, Material data, Neural networks, PINNs. Material data identification by application of physics informed neural networks on an induction heating test rig 1Materials Center Leoben Forschung GmbH (MCL), Austria; 2Materials Center Leoben Forschung GmbH (MCL), Austria; 3Technical University of Graz, Institute for the fundamentals and theory of electrical engineering, Austria; 4Materials Center Leoben Forschung GmbH (MCL), Austria Physics informed neural networks (PINNs) are at the center of attention in diversity of applications, especially for material data identification and engineering. In this work, we investigate the feasibility of material data identification using PINNs. We aim to identify thermo-physical properties, such as specific heat, thermal conductivity, as well as B-H characteristics relevant to hysteresis of materials. We show that the thermo-physical properties are identified quite accurately using few temperature sensor data of an air cooled cylindrical sample. Moreover, the B-H characteristics of the pure iron is approximated applying PINNs by incorporating the physics of the equivalent magnetic circuit of the yoke-based measurement setup and using a secondary voltage and primary excitation signal of the transformer as an input. 10:50am - 11:10am
ID: 143 / Oral Session 3-2: 2 Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: Contactless inductive flow tomography, inverse problems, magnetohydrodynamics Contactless Inductive Flow Tomography with conducting boundaries 1Technische Universität Dresden, Germany; 2Helmholtz-Zentrum Dresden - Rossendorf, Germany A temperature driven three-dimensional velocity field of a liquid metal in a Rayleigh-Bénard cell is reconstructed employing contactless inductive flow tomography. The procedure has been enhanced to account for the electrical conductivity of the heat exchanger that stimulates the flow. The impact of the design of the heat exchanger onto the reconstructed velocity field is analysed. 11:10am - 11:30am
ID: 124 / Oral Session 3-2: 3 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Inverse problem, corrosion diagnosis, BEM, ships electric signature Hybrid snapshots-Steklov BEM basis to identify hull corrosion states from nearby electric field measurements 1Univ Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 38000 Grenoble, France; 2DGA Techniques Navales, 29200 Brest, France This article presents an innovative approach to diagnose the state of a corroded ship's hull by utilizing measurements of the electric field in its vicinity. 11:30am - 11:50am
ID: 119 / Oral Session 3-2: 4 Abstract submission for on-site presentation Topics: Inverse problem Keywords: inverse problems, adjoint method, material parameter determination Adjoint Method for Inverse Problems in Electromagnetics 1TU Graz, Austria; 2AAU Klagenfurt, Austria; 3TU Darmstadt, Germany To be done!! |
11:50am - 12:00pm | Coffee break Location: Hotel NovaPark |
12:00pm - 12:40pm | Oral Session 3-3: Inverse Problems/Numerical Methods Location: Lecture Hall Session Chair: Silvia Gazzola Session Chair: Daniel Baumgarten |
|
12:00pm - 12:20pm
ID: 117 / Oral Session 3-3: 1 Abstract submission for on-site presentation Topics: Algorithms Keywords: electric machines; generalised Sobol sensitivity; multivariate sensitivity analysis; polynomial chaos expansion Efficient Multivariate Sensitivity Analysis for Electric Machines using Anisotropic Polynomial Chaos Expansions 1Siemens AG, Germany; 2TU Darmstadt, Germany This work suggests an efficient method based on anisotropic polynomial chaos ex- 12:20pm - 12:40pm
ID: 115 / Oral Session 3-3: 2 Abstract submission for online presentation Topics: Inverse problem Keywords: Deep learning, source-identification problem, magnetic field A magnetostatic source-identification problem solved by means of deep learning methods 1DESTEC Department, University of Pisa, Italy; 2Dept. of Electrical, Computer and Biomedical Engineering,University of Pavia, Italy In this work, a Deep Learning approach based on a Conditional Variational Autoencoder (CVAE) has been adopted for the solution of an inverse problems of magnetic field reconstruction knowing the field on a subdomain. Subsequently, starting from the CVAE outputs, the geometry of the field source can be identified. Two different techniques are used: a deep artificial neural network, fully connected, and a convolutional neural network. The proposed methods are applied to the TEAM 35 benchmark magnetostatic problem and a comparison between them is done. |
12:40pm - 1:00pm | Closing Session Location: Lecture Hall Session Chair: Paolo Di Barba Session Chair: Jan Sykulski Session Chair: Manfred Kaltenbacher |
1:00pm - 2:00pm | Lunch Location: Hotel NovaPark |
7:00pm - 10:00pm | Social event for participants of the PhD course |
Date: Thursday, 21/Sept/2023 | |
9:00am - 12:00pm | PhD Course: Classical filtering and iterative methods for linear problems Location: VTU Seminarraum MFEG200, TU Graz Session Chair: Silvia Gazzola |
12:00pm - 1:00pm | Lunch Location: TU Graz Campus |
1:00pm - 5:00pm | PhD Course: Towards state-of-the-art solvers for inverse problems Location: VTU Seminarraum MFEG200, TU Graz Session Chair: Silvia Gazzola |