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Commercial EM Codes Suitable for Modeling of Microwave Heating — a Comparative Review

  • V. V. Yakovlev
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 18)

Abstract

Electromagnetic modeling software available in the market is studied in accordance with specific criteria to compose contemporary database of codes applicable to designing industrial systems of microwave thermal processing. Operating systems, kernel computational methods, interfaces, optimization options, possibilities of solution of associated thermal problem and financial information are among the basic characteristics addressed. It is shown that sixteen selected codes are very differently adjusted to practical needs of the field. Vendors are rated with respect to their dedication to the microwave power engineering. Issues related to further evaluation of the codes (solution of benchmark problems) are discussed.

Keywords

Microwave Power Microwave Heating Benchmark Problem Optimization Option Microwave Heat 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Mitrotzik, M.S., Prather, D: How to choose EM software. IEEE Spectrum 34 (Dec 1997) 53–58CrossRefGoogle Scholar
  2. 2.
    Lorenson, C.: The why’s and how’s of math modeling for microwave heating. Microwave World 11 (March 1990) 14–23Google Scholar
  3. 3.
    Palombizio, A., Yakovlev, V.V.: Parallel worlds of microwave modeling and industry: a time to cross? Microwave World 20 (Sept 1999) 14–19Google Scholar
  4. 4.
    Risman, P.: A microwave oven model. Examples of microwave heating computations. Microwave World 19 (Summer 1998) 20–21Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • V. V. Yakovlev
    • 1
  1. 1.Worcester Polytechnic InstituteWorcester

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