International Journal of Applied Electromagnetics and Mechanics - Volume 56, issue S1

Article Type: Research Article

DOI: 10.3233/JAE-172277

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 1-, 2018

Authors: Laczko (Zaharia), Andreea | Brisset, Stéphane | Radulescu, Mircea

Article Type: Research Article

Abstract: This paper deals with the optimal design of a direct-driven brushless DC permanent-magnet (BLDCPM) generator over a long-term wind speed cycle operation. Such a large wind speed profile causes long processing time in the search of the optimal solution, therefore a simplification method of the profile based on an original barycenter method is proposed and applied to the power losses computation of the wind energy system. As a result, the optimization methodology relies on two modeling levels different in simulation time and approach and is based on a constrained mono-objective problem with adequate optimization strategy and algorithm that aims at …reducing the global system power losses for the given wind speed profile while finding the optimal geometrical and electrical features of the BLDCPM wind generator. Show more

Keywords: Barycenter method, brushless DC permanent-magnet generator, design, optimization, wind cycle

DOI: 10.3233/JAE-172279

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 3-15, 2018

Authors: Di Barba, Paolo | Dughiero, Fabrizio | Forzan, Michele | Sieni, Elisabetta

Article Type: Research Article

Abstract: In the paper the optimal synthesis of the magnetic field in a device for Magneto-Fluid Hyperthermia (MFH) tests on cell cultured in Petri dishes is presented. Magneto-Fluid Hyperthermia is a cancer therapy that exploits magnetic fluid and time-harmonic magnetic field to heat nanoparticles localized in the target region. To this end, a modified version of Non-Dominated Sorting Genetic Algorithm (NSGA-II) is presented. The proposed optimization algorithm includes the periodic migration of a new population that enhances the genetic heritage of the current population. The convergence of the algorithm is automatically controlled by applying a suitable ‘stop criterion’. The optimal design …of a class of power inductors for MFH is considered. Show more

Keywords: Multiobjective optimization, genetic algorithm, Pareto optimality, magnetic field, finite-element analysis

DOI: 10.3233/JAE-172283

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 17-32, 2018

Authors: Coco, Salvatore | Laudani, Antonino | Lozito, Gabriele Maria | Pollicino, Giuseppe

Article Type: Research Article

Abstract: A Finite Element based strategy is proposed for the evaluation of magnetic permeability for the equivalent homogenized material of a magnetic shielding mortar containing ferromagnetic particles. The representation of the composite mixture is done by using elements of the mesh as 3-D inclusions. A statistical analysis is performed on thousands of meshes representing the same sample geometry, with different inclusions distribution. The homogenization process is posed in form of a non-linear inverse problem. To solve it, a powerful parallel algorithm based on swarm intelligence is used. The obtained results are validated through an experimental setup.

Keywords: Homogenization technique, finite element method, magnetic shielding, effective permeability

DOI: 10.3233/JAE-172278

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 33-44, 2018

Authors: Filippini, Mattia | Alotto, Piergiorgio

Article Type: Research Article

Abstract: In this paper multi-objective optimization techniques are applied to the design of magnetic gears in order to maximize the performances and to obtain a competitive device. A parallelized stochastic algorithm is implemented and an analytical tool based on magnetic fields computation and losses estimation is used to compute the multi-objective function. This FEM-free computational model can be used in the initial stages of product development.

Keywords: Multi-objective optimization, magnetic gears

DOI: 10.3233/JAE-172280

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 45-59, 2018

Authors: Di Barba, Paolo | Formisano, Alessandro | Martone, Raffaele | Repetto, Maurizio | Salvini, Alessandro | Savini, Antonio

Article Type: Research Article

Abstract: To counteract the performance degradation in electromagnetic devices due to mechanical tolerances, assembly inaccuracies, poor knowledge of material parameters, etc., many robust design techniques have been proposed. A first class of methods takes advantage from statistical analysis to improve the average performance taking into account actual, randomly distributed values rather than the nominal figure of the parameters design values. A second class, making use of the “sensitivity” of device performance with respect to different parameters, looks for solutions as insensitive as possible with respect to possible modifications of the design parameters. In this paper, with the aim of presenting a …synthetic selection of existing methods, a brief survey of the different approaches is presented. A simple test case is considered for demonstration purposes. Show more

Keywords: Robust optimization, sensitivity analysis, Taguchi approach, worst-case approach, pareto optimality

DOI: 10.3233/JAE-172285

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 61-72, 2018

Authors: Albanese, Raffaele | de Magistris, Massimiliano | Loschiavo, Vincenzo Paolo | Minucci, Simone

Article Type: Research Article

Abstract: In this paper, we aim at numerical validating a novel technique for 3D reconstruction of magnetic fields in tokamaks from a discrete set of magnetic measurements. The identification is based on the solution of a classical inverse problem, after modeling the direct problem by using a well-tailored expansion for the plasma and the other field sources. Suitable boundary conditions are defined on two virtual nested surfaces, one inside the plasma, the other surrounding the plasma and including the magnetic sensors. Some a-priori information on the problem, as the expected major periodicity of 3D effects and the known poloidal field sources, …are also taken into account for the field evaluation. An influence matrix is calculated, to get the measurement values due to each basis function and then a classical pseudo-inverse procedure identifies the coefficients in the expansion. The reconstructed magnetic field is then available to trace the plasma boundary with conventional methods. In this way, accurate 3D plasma shape identifications are available, at affordable computational cost. A significant set of magnetic configurations is adopted as test-bed for validating the technique, allowing in particular to separately evaluate the efficiency in catching the intrinsically 2D effects and the fully 3-D ones. Show more

Keywords: Magnetic fields reconstruction, plasma boundary identification, tokamaks diagnostics

DOI: 10.3233/JAE-172284

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 73-81, 2018

Authors: Zaharia, M.V. | Gillon, F. | Radulescu, M.M. | Khlissa, R.

Article Type: Research Article

Abstract: Transient simulations of models are required for the study of several phenomena and calculation of some physical quantities. For instance, in the case of a switched reluctance machine (SRM), conducting transient simulations allows the calculation of electromagnetic torque ripple. This can be very time consuming, especially when using an iterative optimization algorithm to smooth the developed electromagnetic torque. In this paper, Output Space Mapping Proportional (OSMP) and Manifold Mapping (MM) are presented as a solution to accomplish a fast determination of the optimal control parameters of a SRM in order to improve its performance. A description of the considered optimization …problem is also provided, along with a detailed presentation of the coarse and fine models used. Finally, optimization results are presented, analyzed and validated using finite element-based model as well as measurements on the SRM prototype. Show more

Keywords: Optimization, switched reluctance machine, Output Space Mapping, analytical model, finite element model, experimental validation

DOI: 10.3233/JAE-172281

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 83-96, 2018

Authors: Canova, Aldo | Giaccone, Luca

Article Type: Research Article

Abstract: This paper deals with the design and the final implementation of a low-cost active shielding system for the mitigation of magnetic fields generated by electrical installations like power lines or substations. In this paper a new working prototype is built and tested. It is shown that the developed control strategy is effective also for field sources with complex geometries. Moreover, a real-time optimizer is added to the control strategy in order to guarantee the minimization of the source field at any working conditions of the source (i.e. different from the rated power). The control algorithm and the real-time optimizer are …fully described in the paper, moreover, their behavior is verified through simulations and experimental tests. Show more

Keywords: Magnetic fields, mitigation, active shields, real-time control

DOI: 10.3233/JAE-172286

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 97-106, 2018

Authors: Di Barba, Paolo | Mognaschi, Maria Evelina | Przybylski, Marek | Rezaei, Najmeh | Slusarek, Barbara | Wiak, Slawomir

Article Type: Research Article

Abstract: This study focuses on a class of a 3-phase Switched Reluctance Motor. The aim of the paper is to optimize torque and iron losses as a function of the geometry. To enhance the efficiency of the motor, a procedure of automated optimal design is adopted. Two materials are evaluated and compared: in particular, a Soft Magnetic Composite material might be a good alternative for rotor and stator cores instead of a laminated steel. The analysis model of the motor is based on 2D Finite Element Method (FEM) simulation, while the design optimization is based on evolutionary computing.

Keywords: Finite elements methods, multi-objective optimization, soft magnetic composite, switched reluctance motor

DOI: 10.3233/JAE-172282

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 56, no. S1, pp. 107-122, 2018