1,721,039 research outputs found

    Optimization of the Loney's solenoid through quasi-analytical strategies: a benchmark problem reconsidered

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    A benchmark for inverse problems in magnetostatics, characterized by four geometrical design variables, is revisited; its solution is tackled by means of a quasi-analytical optimization methodology. A set of initial designs, generated in a random way, is considered; the study of the functional dependence of the optimization results on the starting configurations is investigate

    Pareto Optima and Nash Equilibrium: Effective Approach to the Shape Design in Electromagnetic

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    Purpose – This paper seeks to describe an approach to multi-objective optimization problems (MOOPs) based on game theory (GT) and to provide a comparison with the more standard Pareto approach on a real design problem. Design/methodology/approach – The GT is first briefly presented, then a possible recasting of MOOPs in terms of GT is described, where players from GT are associated with single objectives and strategies to the choice of degrees of freedom. A comparison with the Pareto approach is performed on the optimized design of a superconducting synchronous generator. Findings – It was shown that the GT can be applied to the optimized design of real world devices, with results that present a different viewpoint on the problem, yet with device performance comparable with those obtained by standard approaches. Research limitations/implications – Only the Nash approach to non-cooperative games has been applied; the conditions for the solution found using GT to belong to the Pareto front have not been fully explored. Practical implications – Designers and engineers interested in optimal design are presented with a new design technique able to get a balance among conflicting partial objectives, that can also be used to select among different possible designs obtained in other ways (e.g. using the Pareto front approach). Originality/value – The paper demonstrates the possibility of using GT in the design of real world electromagnetic devices, with reference to the optimal shape design of a high temperature superconducting single-phase synchronous generator

    Synthesizing a nanoparticle distribution in magnetic fluid hyperthermia

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    Purpose - The purpose of this paper is to present the synthesis of magnetic fluid characteristics, like diameter of nanoparficles (NPs) and their concentration, in order to obtain a prescribed temperature rate. An evolution strategy algorithm is used in the optimization procedure, while three-dimensional finite-element (FE) modelling is used for magnetic field and thermal field analysis in transient conditions. Design/methodology/approach - FE analysis has been used in order to compute the magnetic and thermal field in a suitable model of the tumor region. The power density due to NP has been accordingly derived. Findings - The NP distribution, giving a prescribed thermal response, is synthesized. Practical implications The proposed method can be used to design a therapeutic treatment based on magnetic fluid hyperthermia. Originality/value - The paper belongs to a streamline of innovative studies on computational hyperthermia

    Non parametric optimal shape design of a magnetic device for biomedical applications

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    The paper presents a cost-effective method of non-parametric optimal shape design based on the synthesis of a moving boundary. A magnet for magnetic fluid hyperthermia is considered as the case study: the shape of the ferrite/air boundary, minimising the field deviation, is searched for. The solution of the direct problem is based on a non-linear finite-element analysis of the magnetic field in time-harmonics conditions
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