Download e-book for iPad: The Finite Element Method for Electromagnetic Modeling by Gerard Meunier

By Gerard Meunier

ISBN-10: 1848210302

ISBN-13: 9781848210301

Written through experts of modeling in electromagnetism, this publication offers a accomplished evaluate of the finite aspect technique for low frequency purposes. basics of the strategy in addition to new advances within the box are defined in detail.Chapters 1 to four current common 2nd and 3D static and dynamic formulations by way of scalar and vector unknowns and tailored interpolations for the fields (nodal, side, face or volume).Chapter five is devoted to the presentation of other macroscopic habit legislation of fabrics and their implementation in a finite point context: anisotropy and hysteretic houses for magnetic sheets, iron losses, non-linear everlasting magnets and superconductors.More particular formulations are then proposed: the modeling of skinny areas while finite components develop into misfit (Chapter 6), endless domain names through the use of geometrical ameliorations (Chapter 7), the coupling of 2nd and 3D formulations with circuit equations (Chapter 8), bearing in mind the circulation, really within the presence of Eddy currents (Chapter nine) and an unique technique for the remedy of geometrical symmetries whilst the resources should not symmetric (Chapter 10).Chapters eleven to thirteen are dedicated to coupled difficulties: magneto-thermal coupling for induction heating, magneto-mechanical coupling by way of introducing the suggestion of robust and susceptible coupling and magneto-hydrodynamical coupling concentrating on electromagnetic instabilities in fluid conductors.Chapter 14 provides assorted meshing equipment within the context of electromagnetism (presence of air) and introduces self-adaptive mesh refinement methods. Optimization strategies are then lined in bankruptcy 15, with the difference of deterministic and probabilistic how to the numerical finite aspect environment.Chapter sixteen provides a variational technique of electromagnetism, exhibiting how Maxwell equations are derived from thermodynamic rules.

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Extra resources for The Finite Element Method for Electromagnetic Modeling

Example text

52]. 57]. However, in real devices, nonlinearities appear in the constitutive relations D(E) of materials. 42] by means of an adapted method. Among all the available methods, the Newton-Raphson method is often used in finite elements. , vN `T . , v N L (k) which, if the conditions of convergence are met, tends towards the solution. 131] ª w 2Wc º « » is the tangent matrix of the system at iteration k and ¬« wv j wvi ¼» 'X(k) is a vector of the increments of the unknown variables. 131] is zero. 134] In practice, this method converges well in some iterations (roughly less than 10) when the constitutive laws are monotonous and are not too stiff.

78] :q An opposite treatment to that used above would show that the interaction energy in :q is zero. 80] where D1 is the field produced only by the internal charges, the electrodes being at potential 0 V. 81] ¦VkGQk Gauss’s law on the electric charges also applies to their variation. 82] border The successive transformations above are possible because the potential is uniform on each electrode, the edges of electrodes belong to the border of the 28 The Finite Element Method for Electromagnetic Modeling domain, and the flux variation is zero on the other parts of the border.

110], we obtain the required sensitivity. It is the step followed for the determination of the coefficients of influence between two electrodes. 4. Sensitivity by adjoint states Very often, it is not only one parameter but several which are involved in a sizing process. Their influence on f can, of course, be obtained by repeating, as many times as necessary, the previous step. 112], indeed by preserving the same matrix, but each time with a second different member. We will see that it is possible to significantly reduce the calculation time by using the adjoint state method.

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The Finite Element Method for Electromagnetic Modeling by Gerard Meunier

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