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Sergey N. Makarov is a Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI).
Gregory M. Noetscher is a Senior Research Electrical Engineer at the U.S. Army Natick Soldier Research, Development and Engineering Center (NSRDEC) in Natick, MA.
Ara Nazarian is an Assistant Professor of Orthopaedic Surgery, Harvard Medical School, Center for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center (BIDMC).
Preface xi
Acknowledgments xv
About The Companion Website xvii
Part I Low-Frequency Electromagnetics.Computational Meshes.Computational Phantoms 1
1 Classification of Low-Frequency Electromagnetic Problems. Poisson and Laplace Equations in Integral Form 3
2 Triangular Surface Mesh Generation and Mesh Operations 35
3 Triangular Surface Human Body Meshes for Computational Purposes 89
Part II Electrostatics of Conductors And Dielectrics. Direct Current Flow 131
5 Theory and Computation of Capacitance. Conducting Objects in External Electric Field 169
6 Electrostatics of Dielectrics and Conductors 215
7 Transmission Lines: Two-Dimensional Version of the Method of Moments 257
8 Steady-State Current Flow 289
Part III Linear Magnetostatics 347
9 Linear Magnetostatics: Surface Charge Method 349
10 Inductance. Coupled Inductors. Modeling of a Magnetic Yoke 371
Part IV Theory And Applications of Eddy Currents 423
11 Fundamentals of Eddy Currents 425
12 Computation of Eddy Currents via the Surface Charge Method 473
Part V Nonlinear Electrostatics 507
13 Electrostatic Model of a pn-Junction: Governing Equations and Boundary Conditions 509
14 Numerical Simulation of pn-Junction and Related Problems: Gummel's Iterative Solution 547
Index 591
The first section of this chapter starts with a physical model of an electric circuit. This example allows us to introduce and visualize the following primary research areas of static and quasistatic analyses:
Next, we quantify the necessary physical conditions that justify static and quasistatic approximations of Maxwell's equations. Three major dimensionless parameters encountered in static and quasistatic approximations are as follows:
The end of the first section is devoted to nonlinear electrostatics, which is an important part of semiconductor device analysis with critical analogues to the subject of bimolecular research.
The second section introduces the Poisson and Laplace equations, along with the free-space Green's function, and briefly outlines the Green's function technique. We specify Dirichlet, Neumann, and mixed boundary conditions and demonstrate practical examples of each. Special attention is paid to the integral form of the Poisson and Laplace equations, which present the foundation for the boundary element method (BEM). We consider the surface charge density at boundaries as the unknown function and thus utilize the surface charge method (SCM).
We establish the continuity of the potential function at boundaries and mathematically derive the discontinuity condition for the normal potential derivative. This condition provides the framework of almost all specific integral equations for individual static and quasistatic problems of various types studied in the main text.
Low-frequency electromagnetics finds its applications in many areas of electrical engineering including the fields of power electronics and power lines [1-4] , semiconductor devices and integrated circuits [5, 6] , alternative energy [7] , and nondestructive testing and evaluation [8, 9] . Major biomedical applications include EEG, ECG, and EMG (cf. [10, 11] ), biomedical impedance tomography [12-18] , and rather new fields such as biomolecular electrostatics [19-22] and magnetic [23-25] and DC [26-30] brain stimulation, among many others.
The bulk of low-frequency electromagnetic problems may be visualized with the help of a static or a quasistatic model of an electric circuit, as shown in Figure 1.1. The model includes three elements:
FIGURE 1.1 Physical model of an electric circuit depicting (a) Electrostatics and (b) Magnetostatics scenarios produced by direct current flow. Note that the electric field between the two wires decreases when moving from the source to the load. This is not the case when the wires have the infinite conductivity resulting in zero potential drop. This figure was generated using numerical modeling tools developed in the text.
Figure 1.1a shows the (computed) electric field or electric field intensity, E, everywhere in space. The subject of electrostatics is the computation of E and the associated quantities (surface charges, capacitances) when there is no load attached to the source. In other words, there is no DC flow in the conductors. In this case, the field distribution around the transmission line might be somewhat different from that shown in Figure 1.1a. However, the difference becomes negligibly small when the wires in Figure 1.1a are close to ideal-possessing a very large conductivity. The situation becomes more complicated when a dielectric material, which alters the electric field both inside and outside, is present.
Exercise 1.1: How would the voltage (or potential) of two wires in Figure 1.1a change under open-circuit conditions (the electrostatic model)?
Answer: Both wire surfaces will become strictly equipotential surfaces, say, at 1 and 0V. There will be no electric field within the wires themselves.
The subject of DC computations is the evaluation of the electric field in conductors themselves and in the surrounding space. This is exactly the problem shown in Figure 1.1a. After the electric field, E, is found, the current density, J, in the conductors is obtained as E multiplied by the conductivity (see Fig. 1.1b). DC computations deal with finite-conductivity conductors, whereas in electrostatics, any conductor is ideal. At the same time, electrostatics models dielectric materials or insulators. DC computations are typically not intended to do so since there is no current present in insulators. DC computations may deal with quite complicated current distributions in heterogeneous conducting media, for example, human tissues.
Exercise 1.2: As far as DC flow is concerned, Figure 1.1a and b has a few simplifications. What is the most significant one?
Answer: The electric field distribution and the associated current distribution within the load may be highly nonuniform, at least close to the load terminals.
The subject of magnetostatics is the computation of the magnetic field or magnetic field intensity, H, and the associated quantities (mutual and self-inductances). The magnetic field is due to currents flowing in conductors as shown in Figure 1.1b. Magnetostatics typically deals with external current excitations, which are known a priori (e.g., from DC analysis). The situation complicates when a magnetic material, which alters the magnetic field both inside and outside, is present.
Exercise 1.3: After the magnetic field H and the electric field E in Figure 1.1b are found, a vector (also shown in Fig. 1.1b) may be constructed everywhere in space. What is the intuitive feel of this vector?
Answer: This is the Poynting vector, a density-of-power flux with the units of W/m2. Its integral over the entire circuit cross section shown in Figure 1.1b will give us the total power delivered to the load.
The subject of eddy current theory (or quasistatic theory) is the effect of a time-varying magnetic field producing alternating currents. According to Faraday's law of induction, this magnetic field will create a secondary electric field in conductors. In its turn, the secondary electric field will result in certain currents, known as eddy currents. These eddy currents may be excited in a conductor without immediate electrode contacts (which is to say, in a wireless manner). They may also affect the original alternating current distribution (via the skin layer effect). The situation greatly complicates for arbitrary geometries and in heterogeneous conducting media where eddy currents have to cross boundaries between different materials.
Exercise 1.4: As far as the eddy current theory is concerned, Figure 1.1a and b has a few simplifications. What is the most significant one?
Answer: The current distribution in thick metal wire conductors is nonuniform, even at 60Hz. The current density mostly concentrates within a skin layer close to the conductor's surface.
Finally, the load in Figure 1.1 may be a basic semiconductor element, a diode, for example. The internal diode behavior at reverse and small forward-bias voltages is still modeled by electrostatic equations, but those equations will be nonlinear. At large forward-bias voltages, DC theory is applied, which also becomes nonlinear.
In order to quantitatively explain various static and quasistatic approximations, we need to start with the full set of Maxwell's equations, which include electric field, E, measured in V/m; magnetic field, H, measured in A/m; volumetric electric current density, J, of free charges with the units of A/m2; and the (volume or surface) electric charge density, ?, of free charges with the units of C/m3 or C/m2. Permittivity, e, measured in F/m and permeability, µ, measured in H/m may vary in space. Maxwell's equations are then given as
Ampere's law modified by displacement currents
Faraday's law
Gauss' law for electric fields
Gauss' law for magnetic fields (no magnetic charges)
Continuity...
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