IMMG Research Projects


2000-2002 Industrial Project

Comparative Analysis of 3D HF Electromagnetic Modeling Software

Principal Investigator: Vadim V. Yakovlev


1. Introduction

Despite all the progress in numerical mathematics and computational technologies, computer simulation of processes and systems of microwave power engineering remains a new and unexplored arena for most practitioners. Engineers dealing with microwave non-communication applications currently seem to lack not specific technical data but general information on modern computational opportunities.

At the same time, a number of modeling tools do allow one to get valuable data about the characteristics of the considered system prior to constructing a physical prototype. The goal of the present study is to update the database of the modern electromagnetic (EM) software suitable for the modeling of microwave heating and outline a few conceptual and practical issues associated with the efficient use of these simulators.

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2. Sofware Database

The database of the EM solvers available in the market and applicable to the majority of problems of microwave (MW) heating has been recently introduced in [1]. The selection criteria for this database were set up to identify high frequency (HF) 3D simulators able (as a minimum) to determine return losses and compute the power dissipated in the processed material.

From Fall 2000, when [1] was sent to press, to the time of writing the present paper (July 2001), the contents of the database have noticeably changed. The market of the modern EM modeling software is very dynamic due to strong competition among the vendors. Since all the solvers were originally developed for the communication and high-speed electronics, these rapidly growing sectors are permanently demanding more adequate and sophisticated computations.

Many features of these newly developed tools can be of help for the practice of MW power engineering. Nowadays, the list of pieces of software suitable for this field includes 17 names of full-wave 3D EM simulators. These commercially available codes are produced by 16 vendors from 7 countries in Europe, North America, and Japan.

Table 1 contains the references to the solvers, which, to our mind, deserve an intent look of the engineers designing the systems of microwave heating. Other codes from this database not shown in this table may currently be not as suitable as these ones: some of them run only under UNIX operating system (EMFlex by Weidingler Associates, Inc.), others are present only on the regional markets (like the Japanese codes MAGNA/TDM and JMAG-Studio). The term "actual use" means that the code has been used at least once in some R&D or industrial microwave heating projects; "potential use" indicates that the solver has passed the selection criteria, but the examples of its application in modeling of MW thermal processing are unknown.

Among the kernel computational methods, Finite Element Method (FEM) and Finite Difference Time Domain (FDTD) dominate; Transmission Line Method, usually considered quite similar to FDTD, is also available. FEM algorithms have been limited to the problems that are electrically not large because of the necessity to use too much memory. Nevertheless, because of their ability to accurately approximate complex structures with curved boundaries, two or three years ago, the simulators based on the FEM could still be found more attractive.

However, today the time domain algorithms associated with the techniques for overcoming the difficulty conforming to curved surfaces (the FIT with the Perfect Boundary Approximation suggested by CST for Microwave Studio (MWS) and the conformal FDTD developed by QWED and implemented in QuickWave-3D (QW3D)) may appear preferable for many classes of problems in MW heating typically involving objects with complicated boundaries. These algorithms are able to handle larger problems, need less memory, are generally quicker than FEM algorithms, and are capable of naturally animating the field and power propagation in the structures. User-friendly intuitive graphical interface can be named among other advantages of MWS. QW3D has been recently supplemented by a number of options specifically appropriate for modeling of microwave heating [2]. Examples of successful uses of this software in modeling of systems of MW power engineering have been reported in [3, 4].

One particular option is noteworthy. Some EM codes from the database could be joined with the programs solving thermal problem in the framework of a common computational process in which the results of the EM computations are used as input data for solving the heat conduction equation. For instance, MAFIA and Multiphysics can be easily connected with the corresponding thermal simulators available from the same vendors. The two solvers run subsequently and are governed by the user through the common interface. Possibility of coupling exists also in MWS: its state-of-the-art VBA interface is open to quick user-specified modifications and connections with other computational tools. However, except for one project with MAFIA successfully conducted by Battelle several years ago (a microwave oven for drying of piles of wet books), no other attempts to couple the EM codes with the compatible thermal simulators are known.

Currently, the licenses' costs range from 12 to 50 thousand USD (with the average 31 thousand), and the maintenance varies from zero (for 2 years) to 7 thousand (with the average 4 thousand) per year. The present study was not supposed to bring justifications of the costs of the licenses; the financial information is given here just for preliminary orientation. However, the general trend appears to be as follows: the price tends to be higher when the work on the software took more resources and was based on a larger investement into the development of the user interface. The latter, for example, makes MWS interface more convenient and easier to learn and use than the QW3D's one. At the same time, it has to be mentioned that appealing automated functions cannot guarantee adequacy and accuracy of modeling and have to be under permanent control of the user from which sufficiently high qualification in electromagnetics and numerical mathematics is certainly expected.

To complete the brief review of the database, it is important to emphasize that nowadays developments in HF EM computational technologies are very fast, so some data presented here, particularly, related to extensions and supplementary functions, could become antiquated even before this paper is printed. For the updated data, the interested readers should contact the software vendors.

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3. Test Problems

To estimate the efficiency and check out the computational characteristics of the software in the database, a few test problems resembling typical constructions for microwave thermal processing have been formulated to be modeled by those simulators. For example, there were:

(1) a 2.45 GHz 1 kW non-standard microwave oven [4] with a uniform spherical potato centered on a circular shelf of a finite thickness (Fig. 1);
(2) a 915 MHz industrial oven excited by two rectangular waveguides, featuring the bottom formed by two inclined planes, and containing a conveyor belt with the set of hamburgers.

It was supposed that the examined codes would be checked as to how they get the patterns of the electric field and the dissipated power and how they compute matching, coupling and some other parameters. While problem (2) turned out to be complicated enough for collecting more or less "uniform" results suitable for comparison, the computational data obtained for problem (1) allow us to reveal some conceptual issues in the modern comprehensive modeling of systems of microwave heating.

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4. Results

4.1. Preprocessing

All the programs in Table 1 have capabilities to generate a concise 3D view of the scenario. Particularly convenient and flexibile graphical functions are available in the ACIS-based interfaces and the commercial post-processor HyperMesh (Fig. 2). An alternative concepts resides in providing parameterized libraries of typical elements and scenarios. This seems to be the approach taken by QWED.

4.2. Reflections

When considering potential benefits from computer modeling, microwave heating engineers typically wonder how a particular simulator could help improve heating uniformity, but do not always appreciate the possibility to calculate the reflections both from the entire construction and its certain elements. The system is usually considered well-designed and properly operated if less than 10% of the energy supposed to be delivered to the cavity is lost due to all kinds of reflections [5]; in other words, the level of a return loss less than -10 dB is supposed to be small enough. Taking control over this characteristic is fairly important: the reflections could be very high for some particular configurations of the cavity and parameters of the load; in addition, the cavities used for MW thermal processing are usually characterized by resonances. These factors may remarkably decrease the efficiency of the whole system.

All the codes in Table 1 (except EMC2000-VF) are capable of computing S-parameters of an analyzed structure and thus determining S11 (the reflection coefficient) in the frequency range adjacent to the operating frequency and by this to clarify the important property of the cavity and its feed(s).

The return loss in the oven (1) have been simulated by MWS and QW3D. In the simulations performed on regular PCs, the first program used about 1.085 million cubic cells, the second 1.002 million. In both cases, the applied mesh was non-uniform with smaller cell size within the potato (1.0 mm in MWS, 1.2 mm in QW3D) and larger in air (5 mm both in MWS and QW3D).

The two curves are shown in Fig. 3. The divergence in the value of S11 at 2.45 GHz is less than 0.2%. The graphs are very similar, so we can be confident that they both describe the reflections in the system quite adequately. The tiny differences in the curve shape can be attributed to the minor distinctions in meshing and in the number of time iteration in the course of simulations.

At 2.45 GHz, the system is characterized by the large return loss (about -4.4 dB that measn that about 37% of energy is lost) whereas there is a strong resonance in the immediate neighborhood: in the range with the width 4 MHz, S11 is less than -15 dB, which means that the energy loss at these frequencies is fairly low (not more than 3%). The peak, however, is too narrow, so this could bring no particular profit, but rather cause instability in the operation of the system: the range of the magnetron frequency deviation is typically about 50 MHz, and the width of the magnetron output spectrum may be up to 100 MHz.

Upon getting a characteristic of S11 like the one shown in Fig. 3 one may conclude (even prior to simulation of the dissipated power) that it would be unfeasible to build a prototype with the considered construction because of its possible low efficiency. Since the position and the form of the resonance is primarily governed by the cavity dimensions, further computations (particularly with the use of optimization options) could help find the configuration of the system with reasonably low reflections (say, |S11| < -10 dB) in a wider frequency range (about 50-100 MHz) around 2.45 GHz.

4.3. Electric Field

While for computation of S-parameters a circuit has to be considered as excited by a pulse of frequency spectrum, simulation of the fields requires the sinusoidal excitation at a particular frequency. Although the structure of the electric field does not explain how the energy is released in the load, knowledge of the field pattern is essential for understanding of processes in microwave heating systems. The time-domain algorithms implemented in the simulators in Table 1 deal with direct numerical solution of Maxwell's equations and thus handle the fields varying in time. The fields therefore can be naturally animated and visualized for different phases.

The patterns of the electric field at 2.45 GHz obtained by MWS and QW3D (using the meshes described in the previous section) and presented in Fig. 4 look quite similar and allow one to identify the mode as quasi-TE331. Due to the high dielectric constant of the potato, the field is much stronger in air which confirms the point that characteristics of the oven in problem (1) depend on the cavity dimensions rather than on the material properties.

4.4. Dissipated Power, SAR, Energy Coupling

To show how microwave energy associated with the determined field is released in the potato, simulation of the dissipated power or SAR is required. Fig. 5 presents the SAR patterns within the product computed by MWS, QW3D, and EMC2000-VF. (Since the potato is uniform, the patterns of the dissipated power look similar, differing only in scale.) It is seen that there is a strong "hot spot" in the center of the potato; in accordance with the QW3D simulation, the magnitude's max/min ratio in the vertical pattern (Fig. 5, c) is about 120.

The result appears to be consistent with the focusing effect in spherical objects well described in literature for the plane wave. MWS and QW3D generate practically identical patterns whereas EMC2000-VF suggests higher level of the dissipated power on the bottom surface of the sphere. This discrepancy can be attributed to the fact that the latter code does not simulate the modal excitation of the cavity (the dominant TE10 mode of the waveguide feed), which in fact takes place, but approximates it by the plane wave whereas MWS and QW3D reproduce the waveguide modal excitation scrupulously.

As seen from Fig. 3 and Fig. 4, post-processor functions of MWS and EMC2000-VF/Hypermesh allow the user to get convenient quasi-3D views showing patterns in the mutually perpendicular coordinate planes. Conformal FDTD computation performed by QW3D receives conformal visualization only in the horizontal plane (Fig. 4, b) whereas the display in the vertical plane is simplified and does not show the actual shape.

The percentage of the power absorbed by the processed material with respect to the power generated by the magnetron (coupling) was rigorously calculated by QW3D through an average power dissipated in a sinusoidally excited system. In oven (1), it was found to be equal to 67.8% of the power delivered to the cavity. The coupling C can also be approximated after the first run of the simulator with the pulse excitation from the formula

C ~ (1 - |S11|^2)100%

where |S11| is the module of the reflection coefficient at 2.45 GHz, without the need of analysing a sinusoidally excited system. From QW3D's computation of reflection, C appears to be 63.4%, i.e., the divergence with the rigorous computation is about 9%. The possibility of estimation of coupling brings another argument in favor of computation of reflection preceding the runs for the field and SAR patterns.

4.5. Temperature Patterns

In the beginning of 2001, the version of QW3D designed specifically for microwave power engineering was released. It includes the so-called Basic Heating Module (BHM), which allows the user to compute and visualize the temperature patterns in the processed material taking into account the fact that its material properties (complex permittivity , density , and specific heat capacity c) are changed as functions of dissipated power. BHM does not deal with the heat conduction problem, but computes temperature T at the moment m+1 in accordance with the formula, where H is the enthalpy density, and t is the assumed user-specified time of heating at a particular steady-state with constant average power P. However, the adequacy of this approach appears to be reasonable for many applications, so the presence of such an extension in the EM solver obviously provides more opportunities for detailed and advanced modeling of processes of microwave heating. Yet, the functions offered by this module surpass the options that the present study suggests as sufficient for the valuable analysis of the formulated test problems; these functions are therefore not considered here.

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5. Conclusion

The paper has presented the updated database of the modern EM simulators suitable for modeling of problems of microwave power engineering. The collected results have shown the advanced capabilities of the time domain solvers (Microwave Studio and QuickWave-3D) and emphasized their practical usefulness in modeling reflections, the electric field, dissipated power, and energy coupling. Both simulators perform very well in the basic EM simulation. Currently, QuickWave-3D appears to be particularly useful for designers of applied and industrial systems of microwave heating due to a number of implemented specific extensions and functions beneficial for the field (such as field envelopes, energy coupling, BHM, and others). Strong dedication of the vendor to the field is also noteworthy.

The study did not have the aim of comparison of the kernel computational methods implemented in the simulators, but it rather focused on their current technical adjustments to the needs of the microwave power engineering. With the wider participation of other software in solutions of the suggested test problems, more specific information about particular features of the solvers could be revealed. Evaluation of the EM modeling tools is going to be continued in the framework of comprehensive benchmarking, which means solving a typical and meaningful microwave heating problem by the different simulators with the subsequent experimental validation.

The way the simulators were used for the analysis of problem (1) can be beneficial for other systems of microwave power engineering. It appears to be feasible to start computer analysis with the pulse excitation and getting reflections in the frequency range adjacent to the operating frequency. This should give a general understanding of the EM processes in the system and perhaps suggest certain changes in the initial design for instance, if return loss in the adjacent frequency range is characterized by strong resonance(s). Then the excitation has to be switched to the sinusoidal one so that the field and the dissipated power could be computed and visualized. A convolution technique implemented in Microwave Studio allows one to extract the sinusoidal fields at the several frequencies from the broadband calculation, so just one simulation is necessary to obtain both the behaviour of S-parameters in the frequency range and the harmonic field at a user refined operating frequency.

References

  1. V.V. Yakovlev, Commercial EM codes suitable for modeling of microwave heating a comparative review. In: U. Van Reinen, M. Gunther, and D. Hecht, Eds, Scientific Computing in Electrical Engineering, Lecture Notes in Computational Sciences and Engineering, Vol. 18, pp. 87-96, Springer, 2001.
  2. M. Celuch and W. Gwarek, Advanced features of FDTD modeling for microwave power applications. Paper presented at the 35th Microwave Power Symposium, Montreal, Canada, July 2000.
  3. H. Marshall, V.A. Mechenova, and V.V. Yakovlev, Computer modeling of microwave high-power loads, Proc. 36th Microwave Power Symposium, San Francisco, CA, April 2001, pp 5-8.
  4. P.O. Risman, A microwave oven model. Examples of microwave heating computations, Microwave World, Vol. 19, pp. 20-21, Summer 1998.
  5. R.H. Edgar and J. Osepchuk, Consumer, commercial, and industrial microwave ovens and heating systems. In: A.K. Datta and R.C. Anantheswaran, Eds, Handbook of Microwave Technology for Food Applications, Marcel Dekker, Inc., pp. 215-277, 2001.

Notes

  1. This web page is based of the material presented at the 8th AMPERE Conference on Microwave & High Frequency Heating, Bayreuth, Germany, September 3-7, 2001.
  2. Full version of the conference summary will be published as the paper:
    V.V. Yakovlev, Examination of contemporary electromagnetic software capable of modeling problems of microwave heating, In: M. Willert-Porada, Ed., Advances in Microwave and Radio-Frequency Processing, Springer, 2003.
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Last modified: Wed, May 28, 2003