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DEDICATION xv
PREFACE xvii
ACKNOWLEDGEMENTS xxi
ACRONYMS xxv
1 Introduction 1
References, 6
2 Circuit Analysis for PEEC Methods 9
2.1 Circuit Analysis Techniques, 9
2.2 Overall Electromagnetic and Circuit Solver Structure, 9
2.3 Circuit Laws, 11
2.4 Frequency and Time Domain Analyses, 13
2.5 Frequency Domain Analysis Formulation, 14
2.6 Time Domain Analysis Formulations, 17
2.7 General Modified Nodal Analysis (MNA), 22
2.8 Including Frequency Dependent Models in Time Domain Solution, 28
2.9 Including Frequency Domain Models in Circuit Solution, 31
2.10 Recursive Convolution Solution, 39
2.11 Circuit Models with Delays or Retardation, 41
Problems, 43
References, 44
3 Maxwell's Equations 47
3.1 Maxwell's Equations for PEEC Solutions, 47
3.2 Auxiliary Potentials, 52
3.3 Wave Equations and Their Solutions, 54
3.4 Green's Function, 58
3.5 Equivalence Principles, 60
3.6 Numerical Solution of Integral Equations, 63
Problems, 65
References, 66
4 Capacitance Computations 67
4.1 Multiconductor Capacitance Concepts, 68
4.2 Capacitance Models, 69
4.3 Solution Techniques for Capacitance Problems, 74
4.4 Meshing Related Accuracy Problems for PEEC Model, 79
4.5 Representation of Capacitive Currents for PEEC Models, 82
Problems, 85
References, 86
5 Inductance Computations 89
5.1 Loop Inductance Computations, 90
5.2 Inductance Computation Using a Solution or a Circuit Solver, 95
5.3 Flux Loops for Partial Inductance, 95
5.4 Inductances of Incomplete Structures, 96
5.5 Computation of Partial Inductances, 99
5.6 General Inductance Computations Using Partial Inductances and Open Loop Inductance, 107
5.7 Difference Cell Pair Inductance Models, 109
5.8 Partial Inductances with Frequency Domain Retardation, 119
Retardation, 123
Problems, 125
References, 131
6 Building PEEC Models 133
6.1 Resistive Circuit Elements for Manhattan-Type Geometries, 134
6.2 Inductance-Resistance (Lp,R)PEEC Models, 136
6.3 General (Lp,p,R)PEEC Model Development, 138
6.4 Complete PEEC Model with Input and Output Connections, 148
6.5 Time Domain Representation, 154
Problems, 154
References, 155
7 Nonorthogonal PEEC Models 157
7.1 Representation of Nonorthogonal Shapes, 158
7.2 Specification of Nonorthogonal Partial Elements, 163
7.3 Evaluation of Partial Elements for Nonorthogonal PEEC Circuits, 169
Problems, 181
References, 182
8 Geometrical Description and Meshing 185
8.1 General Aspects of PEEC Model Meshing Requirements, 186
8.2 Outline of Some Meshing Techniques Available Today, 187
8.3 SPICE Type Geometry Description, 194
8.4 Detailed Properties of Meshing Algorithms, 196
8.5 Automatic Generation of Geometrical Objects, 202
8.6 Meshing of Some Three Dimensional Pre-determined Shapes, 205
8.7 Approximations with Simplified Meshes, 207
8.8 Mesh Generation Codes, 208
Problems, 209
References, 210
9 Skin Effect Modeling 213
9.1 Transmission Line Based Models, 214
9.2 One Dimensional Current Flow Techniques, 215
9.3 3D Volume Filament (VFI) Skin-Effect Model, 227
9.4 Comparisons of Different Skin-Effect Models, 238
Problems, 244
References, 246
10 PEEC Models for Dielectrics 249
10.1 Electrical Models for Dielectric Materials, 249
10.2 Circuit Oriented Models for Dispersive Dielectrics, 254
10.3 Multi-Pole Debye Model, 257
10.4 Including Dielectric Models in PEEC Solutions, 260
10.5 Example for Impact of Dielectric Properties in the Time Domain, 276
Problems, 281
References, 281
11 PEEC Models for Magnetic Material 285
11.1 Inclusion of Problems with Magnetic Materials, 285
11.2 Model for Magnetic Bodies by Using a Magnetic Scalar Potential and Magnetic Charge Formulation, 292
11.3 PEEC Formulation Including Magnetic Bodies, 295
11.4 Surface Models for Magnetic and Dielectric Material Solutions in PEEC, 300
Problems, 307
References, 308
12 Incident and Radiated Field Models 309
12.1 External Incident Field Applied to PEEC Model, 310
12.2 Far-Field Radiation Models by Using Sensors, 312
12.3 Direct Far-Field Radiation Computation, 318
Problems, 322
References, 322
13 Stability and Passivity of PEEC Models 325
13.1 Fundamental Stability and Passivity Concepts, 327
13.2 Analysis of Properties of PEEC Circuits, 332
13.3 Observability and Controllability of PEEC Circuits, 334
13.4 Passivity Assessment of Solution, 337
13.5 Solver Based Stability and Passivity Enhancement Techniques, 342
13.6 Time Domain Solver Issues for Stability and Passivity, 359
Acknowledgment, 364
Problems, 364
References, 365
A Table of Units 369
A.1 Collection of Variables and Constants for Different Applications, 369
B Modified Nodal Analysis Stamps 373
B.1 Modified Nodal Analysis Matrix Stamps, 373
B.2 Controlled Source Stamps, 380
References, 382
C Computation of Partial Inductances 383
C.1 Partial Inductance Formulas for Orthogonal Geometries, 385
C.2 Partial inductance formulas for nonorthogonal geometries, 398
References, 407
D Computation of Partial Coefficients of Potential 409
D.1 Partial Potential Coefficients for Orthogonal Geometries, 410
D.2 Partial Potential Coefficient Formulas for Nonorthogonal Geometries, 418
References, 421
E Auxiliary Techniques for Partial Element Computations 423
E.1 Multi-function Partial Element Integration, 423
Subdivisions for Nonself-Partial Elements, 428
References, 429
INDEX 431
Electromagnetic (EM) modeling has been of interest to the authors of this book for a large portion of their careers. Giulio Antonini has been involved with partial element equivalent circuit (PEEC) for over 15 years at the Università degli Studi dell'Aquila, Italy, where he is now a professor. Both Albert Ruehli and Lijun Jiang worked as Research Staff members at the IBM Research Laboratory in Yorktown Heights, New York, on electrical interconnect and package modeling and electromagnetic compatibility (EMC) issues. Lijun Jiang is now a professor at the University of Hong Kong, Hong Kong, and Albert Ruehli is now an adjunct professor at the University of Science and Technology, Rolla, Missouri. We all continue to work today on different aspects of the PEEC method.
We welcome the opportunity to share the product of our experience with our readers. Fortunately, electromagnetic modeling (EMM) is a field of increasing importance. Electronic systems have been and will continue to increase in complexity over the years leading to an ever increasing set of new problems in the EM and circuit modeling areas. The number of electronic systems and applications expands every day. This leads to an ever-increasing need for electrical modeling of such systems.
EMM has been a key area of interest to the authors for quite a while. About 40 years ago, the general field of EMM was very specialized and more theoretical. The number of tools in this area and consequent applications were much more limited. Research is driven by the desire to discover new ways and potential applications as well as the need for solutions of real life problems.
Waveguides that mostly were interesting mechanically complex structures were physically large due to the lower frequencies involved. Some of the main topics of interest were antennas and waveguides as well as transmission lines. EM textbooks usually demanded an already high level of education in the theory and they were sometimes removed from realistic problems.
Transmission lines were the most accessible devices from both a theoretical and a practical point of view. Very few tools were available for practical computations especially before computers were widely available. Computers were mostly used for specialized applications. Problems were solved with a combination of theoreticalanalysis and measurements as well as insight that was a result of years of experience.
In contrast, today electromagnetic solver tools are available for the solution of a multitude of problems. Hence, the theoretical and intuitively ascertained solutions have been replaced with numerical method-based results. However, this does not eliminate the need for a thorough understanding of the EM fundamentals and the methods used in EM tools. The advanced capabilities available in the tools require a deeper understanding of the formulations on which the tools are based. We are well aware that the interaction of tools and theory leads to advances.
Textbooks such as Ramo and Whinnery [1] have evolved over many years. Meanwhile, many new excellent introductory textbooks have been written that treat different special subjects such as EMC [2]. Our book is oriented toward a diverse group of students at the senior to graduate level as well as professionals working in this general area. In our text, we clearly want to emphasize the utility of the concepts for real-life applications, and we tried to include as many relevant references as possible.
We have to distinguish between two fundamentally different types of circuit models for electromagnetics. Some of them are based on a differential equation (DE) formulation of Maxwell's equations, while others are based on integral equation (IE) form.
The DE forms are commensurate with the system of equations that results from the formulation of a problem in terms of DEs. This results in circuit models that have neighbor-to-neighbor coupling only. The most well-known form is the finite difference time domain (FDTD) method, which is a direct numerical solution of Maxwell's equations. The advantages of DE methods is that very sparse systems of equation result. At the same time, these systems are larger than the ones obtained from IE-based methods.
On the other hand, the IE-based methods will result in systems that have element-to-element couplings. Hence, this results in smaller, denser systems of equations. The finite element (FE) method is a somewhat hybrid technique since it involves local integrations while the overall coupling is local as in the DE methods. This also results in a large and sparse system of equations. Among the formulations used today, there are two circuit-oriented ones: (a) the DE-based transmission line modeling (TLM) method; and (b) the PEEC method. In this text, we mainly consider the IE-based PEEC method.
The PEEC method has evolved over the years from its start in the early 1970s [3-5]. Interestingly, this is about the same time when the other circuit-oriented EM approach - the TLM method - was first published [6]. Some early circuit-oriented work for DE solutions of Maxwell's equations was done by Kron in the 1940s [7]. However, the solution of the large resultant systems was impossible to solve without a computer. Hence, the work was of little practical importance. Recently, matrix stamps for FDTD models have been presented [8].
Around the same time, numerical DE methods made important progress. The FDTD method was conceived in 1966 [9]. Also, the finite integration technique (FIT) technique was published in 1977 [10]. All these methods have made substantial progress since the early work was published.
The PEEC method evolved in a time span of more than 40 years. From the start, the approach has been tailored for EMM of electronic packages or Electronic Interconnect and Packaging called signal integrity (SI). Power integrity (PI) and noise integrity (NI) as well as EMC problems. In the beginning, only high-performance computer system modeling needed accurate models for the electrical performance of the interconnects and power distribution in the package and chips. In main frame computes the speed of the circuits was much faster than that of conventional computer circuits such as the early personal computers.
Quasistatic solutions were adequate then even for the highest performance systems. Problems such as the transient voltage drops due to large switching currents were discovered very early. This prompted and extended the work on partial inductance calculations for problems of an ever-increasing size. In the 1990s, the modeling of higher performance chips and packages became an issue with the race for higher clock rates in computer chips. This led to the need for full-wave solutions. As a consequence, stability and passivity issues became important. Today, aspects such as skin-effect loss and dielectric loss models are required for realistic models.
Numerous problems can be solved besides package and interconnect and microwave problems. Approximate physics-based PEEC equivalent circuit models can be constructed, which are very helpful for a multitude of purposes. Further, PEEC is one of the methods used in some of the EMM tools. Fortunately, PEEC models can easily be augmented with a multitude of additional circuit models. This leads to other real advantages. Further, techniques have been found to improve the efficiency of these methods. As we show, PEEC is ideally suited for small simple models. Also, the wealth of circuit solution techniques that are available today can be employed. One example of this is the use of the modified nodal analysis (MNA) approach, which helps PEEC for low-frequency and a dc solution that other techniques may not provide.
We hope that this text can be used as an effective tool to introduce EM to new students. We think that a key advantage of the PEEC method is its suitability for an introductory course in EM.
The teaching of the PEEC method can be approached from several different points of view. It may be used as a way to introduce EMM, since most engineering students are more familiar with circuit theory rather than EM theory. This is also the case since circuit courses are taught at a lower level than EM courses. Alternatively, one may want to start with the introduction of the quasistatic PEEC models in a first EM course.
We prefer to use concepts that can be understood in lieu of the introduction of more advanced topics and mathematical notation. As a second course, general PEEC methods could be covered. This could be done, perhaps, in conjunction with introduction of concepts such as interconnect modeling and other chip and package design concepts.
Albert E. Ruehli,
Windham, New Hampshire,
USA
Giulio Antonini,
L'Aquila,
Italy
Lijun Jiang,
Hong Kong
January, 2017
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