A5068465510- Electric Motor Design and Analysis
- Magnetic Properties and Applications
- Sensorless Control of Electric Motors
- Gear and Bearing Dynamics Analysis
- Electromagnetic Simulation and Numerical Methods
- Laser and Thermal Forming Techniques
- Topology Optimization in Engineering
- Additive Manufacturing Materials and Processes
- Advanced Numerical Methods in Computational Mathematics
- Electric and Hybrid Vehicle Technologies
- Non-Destructive Testing Techniques
- Advanced Numerical Analysis Techniques
- Magnetic Bearings and Levitation Dynamics
- Piezoelectric Actuators and Control
- Electric Vehicles and Infrastructure
- Tribology and Lubrication Engineering
- Model Reduction and Neural Networks
- Electromagnetic Scattering and Analysis
- High Entropy Alloys Studies
- Adhesion, Friction, and Surface Interactions
- Vehicle Dynamics and Control Systems
- Machine Fault Diagnosis Techniques
- Transportation and Mobility Innovations
- Additive Manufacturing and 3D Printing Technologies
- Control Systems in Engineering
VTT Technical Research Centre of Finland
2012-2024
Tampere University
2004-2015
Tampere University of Applied Sciences
2002
Purpose The purpose of this paper is to report on the developments in manufacturing soft magnetic materials using laser powder bed fusion (L-PBF). Design/methodology/approach Ternary Fe-49Co-2V was produced by gas atomization and used an L-PBF machine produce samples for material characterization. process parameters were optimized material, a design experiments approach. printed exposed different heat treatment cycles improve properties. properties measured with quasi-static direct current...
Machine learning and artificial neural networks have shown to be applicable in modeling simulation of complex physical phenomena as well creating surrogate models trained with physics-based data for numerous applications that require good computational performance. In this article, we review widely the concept its electrical machine context. We present comprehensively a workflow developing data-driven including generation design experiments, preprocessing training data, testing surrogates....
<div class="section abstract"><div class="htmlview paragraph">The automotive industry is amidst an unprecedented multi-faceted transition striving for more sustainable passenger mobility and freight transportation. The rise of e-mobility coming along with energy efficiency improvements, greenhouse gas non-exhaust emission reductions, driving/propulsion technology innovations, a hardware-software-ratio shift in vehicle development road-based electric vehicles. Current R&amp;D...
Torque density of radial, axial and transverse flux machine topologies is investigated. A 10-kW, 200-rpm motor chosen as a test case. Radial motors that fulfill the key specifications selected case are designed employing in-house analytical dimensioning tools MATLAB genetic multi-objective optimization. Rather simple numerical approach taken to study motor. 20-pole-pair radial found outperform its counterparts in terms torque density.
After its recent improvements described here, open source finite element software Elmer is shown to be a highly efficient option for electrical machine modeling. The parallelization of computational burden necessity. methods implemented enable applying fully parallel computation models, including rotation and circuits. Computational experiments performed demonstrate that can effectively utilize several hundreds cores in parallel, making it an attractive alternative when speed high importance.
Rolling bearings are a leading cause of equipment breakdowns in electrical machines, underscoring the significance predictive maintenance strategies. However, given methods require high-quality big data, which is challenging to acquire, especially for faulty cases. Simulation models offer an alternative by generating large data sets complement experimental data. involve complex contact-related phenomena, such as slipping and clearance. Therefore, realistic comparable real-world necessitates...
The multi-slice method allows approximation of the 3-D phenomena without carrying out a full analysis, e.g., in skewed radial flux electrical machines. idea is to divide machine into several 2-D finite-element models along axis, connected by circuits. Here we show how perfect for parallel computation; computation efficiency close that modern hardware. results are shown agree with and experimental results.
This paper demonstrates a workflow for multi-physical simulation and design optimization of electrical machines using open-source tools. The applicability tools all steps complex 3D Finite Element Method modelling an machine - geometry production, meshing, pre-processing, solving (even in massively parallel environment), post-processing with visualization. example case is permanent magnet synchronous direct immersion oil cooling. First demonstrated. current-source driven electromagnetic used...
Precise modeling of the magnetic field in coil wire an electric machine often becomes a major challenge: with high number turns and small penetration depth, degrees freedom exceeds reasonable limits any standard approximation method. approximation, however, is critical, e.g., to reliable loss estimation. Hence, there call for specialized approximative methods. This paper presents method time-harmonic computations 2-D problems. We replace by lattice polygonal plane fillers span...
Rotor bars are one of the most failure-critical components in induction machines. We present an approach for developing a rotor bar fault identification classifier The developed machine learning-based models based on simulated electrical current and vibration velocity data measured acceleration data. introduce that combines sequential model-based optimization nested cross-validation procedure to provide reliable estimation classifiers’ generalization performance. These methods have not been...
If constitutive laws can be expressed with diagonal matrices in wave propagation problems, Yee-like scheme will explicit. As finite-element kinds of meshes provide flexibility modeling complex geometries, they are preferred to regular grids some cases. However, finding such for an arbitrary mesh is not trivial. a consequence we consider compromise: find partially diagonalized matrix express laws, and thus, develop implicit method on tetrahedral mesh.
This paper shows a general review of Switched Reluctance Motors (SRM), reports the conversion Active Magnetic Bearing (AMB) to SRM and discusses methods estimate torque produced in SRM. AMB converted has been tested on laboratory scale test rig its production measured. The novelty this is modified analytical method fringing flux paths enabling more accurate mathematical model torque. reason for careful analysis air gap forces demand electromagnetic models motor be used controller. ultimate...
This paper describes multi-slice modelling and validation of an axially skewed synchronous machine in 2D domain. The technique involves coupling circuit electromagnetic domains together with carefully constructed geometry. model size comparison full 3D simulation reduces considerably. Developed 2.5D allows fast domain, still taking into account effect skew on torque back-EMF the machine. Simulation results are compared to measurements. All simulations performed using free open-source tools.
Electric retrofitting (e-retrofitting) is a viable option for accelerating the renewal of heavy-duty vehicle fleets to reduce related emissions. We introduce simulation-based assessment e-retrofitting strategies vehicles. Our simulation tool, an electric fleet toolbox, comprises three modules, namely driving cycles, dynamics, and profiles. The first allows creation realistic cycles based on GPS data from real routes. dynamics profiles incorporate, e.g., modelling powertrain conditions. Ten...
We study the topology optimization (TO) of an 8/6 switched reluctance motor rotor in terms torque and mass. Together with additive manufacturing, offers disruptive possibilities electrical machine design. investigate how sensitive TO is to problem setup by varying mesh density, material definitions initial values optimization. also derive implement three different formulations improve performance. As a result, we found that geometry obtained this method both definition density. Further, mass...
Light electric vehicles are best suited for city and suburban settings, where top speed long-distance travel not the primary concerns. The literature concerning light vehicle powertrain design often overlooks influence of associated driving missions. Typically, is initially parameterized, established, then evaluated with an ex-post-performance assessment using cycles. Nevertheless, to optimize size performance a according its intended mission, it essential consider cycles right from outset,...
We examine the effect of cell type on accuracy Yee-like schemes. The approach is built over an error bound introduced for discrete counterparts constitutive laws. specify which geometric properties cells have approximation errors. convergence different types are demonstrated with numerical examples.
A transient model of an induction machine (IM) is developed in this work using artificial neural network (ANN) surrogate model. The suitable to be used for direct-on-line IMs. finite-element (FE)-based IM generate the training, validation, and testing datasets. Different inputs configurations are investigated find optimal solution developing proposed digital twin services since it can estimate current torque accurately real time based on only voltage measured shaft speed.
For reduction of vibrations and noise electrical machines, the computation magnetic force distributions ensuing deformations are needed. Here we utilize nodalforce method in open-source Finite Element software Elmer to compute an induction motor during start-up.
This paper studies the effect of different slice count on quality multi-slice simulation. The slices are distributed evenly along axial length machine. torque and current waveforms at nominal point analysed for numbers slices, compared with measured waveforms. Practical optimum is identified finding a trade-off between simulation time results quality.