Efficiency Optimization for Systems and Components in Microwave Power Engineering
Source abstract
Abstract
The paper is concerned with one aspect of optimization of microwave thermal processing, namely, with optimization of energy coupling interpreted as a numerical characteristic of system efficiency. Since in computer-aided design coupling can be evaluated through the computed reflections, an optimization scheme is presented that is particularly suitable for minimizing the reflection coefficient in typical systems and elements of microwave power engineering. Based on response surface methodology and the sequential quadratic programming for constrained optimization, the procedure is linked with the full-wave 3-D FDTD electromagnetic simulator QuickWave-3D. Credibility and effectiveness of the method is illustrated by four examples: dimensional optimization is performed for a dry waveguide load, a waveguide T-junction with a partial-height post, a water cylinder in a cavity, and a slotted waveguide-backed radiating element.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Microwave Engineering and Waveguides · Gyrotron and Vacuum Electronics Research · Microwave-Assisted Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (16)
Show source-provided references
1. Al-Rizzo, H.M., Clark, K.G., and Tranquilla, J.M. 2002. FDTD modeling of dielectric-loaded slotted waveguide applicators. Proc. 37thMicrowave Power Symp. Atlantic City, NJ: 76–79.
2. Banga, J.R., Saa, J., and Alonso, A.A. 1999. Model-based optimization of microwave heating of bioproducts. Proc. 7thConf. Microwave and High Frequency Heating, Valencia, Spain. 193–196.
3. Batt, J., Binner, J.G.P., Cross, T.E., Greenacre, N.R., Hamlyn, M.G., Hutcheon, R.M., Sutton, W.H., and Weil, C.M. 1995. A parallel measurement programme in high temperature dielectric property measurements: an update. In: Clark, D.E.et al, Eds. Microwaves: Theory and Applications in Microwave Processing III, Ceram. Trans. 59: 243–250.
4. Binner, J.G.P. 2002. Personal communications.
5. Bradshaw, S.M., Chow Ting Chan, T.V., Reader, H.C., Geschke, R., Kingman, S.A., and Jackson, K. 2003. Quantifying applicator design for microwave assisted comminution. Proc. 9th Conference on Microwave and High Frequency Heating, Loughborough, U.K, Sept. 2003: 509–512.
6. Chan, T.V.C.T. and Reader, H.C. 2000. Understanding microwave heating cavities. Artech House.
7. Cresko, J. and Yakovlev, V.V. 2003. A slotted waveguide applicator design for heating fluids. Proc. 9th Conference on Microwave and High Frequency Heating, Loughborough, U.K, Sept. 2003: 317–320.
8. Domínguez-Tortajada, E., Díaz-Morcillo, A., Monzó-Cabrera, J. Escoms, J., and Sánchez-Hernández, D. 2003. Application of genetic algorithms in the design of multifeeding cavities. Proc. 9th Conference on Microwave and High Frequency Heating, Loughborough, U.K, Sept. 2003: 225–228.
9. Khuri, A.I. and Cornell, J.A. 1996. Response surfaces. Design and analysis. Marcel Dekker, Inc.
10. Meredith, R.J. 1998. Engineers handbook of industrial microwave heating, IEE Press.10.1049/PBPO025E ↗
11. Neittaanmäki, P., Rudnicki, M., and Savini, A. 1996. Inverse problems and optimal design in electricity and magnetism. Clarendon Press.10.1093/oso/9780198593836.001.0001 ↗
12. QuickWave-3D - A general purpose electromagnetic simulator based on conformal finite-difference time-domain method. V.2.1 (2002). QWED. http://www.qwed.com.pl.
13. Saa, J., Alonso, A., and Banga, J. 1998. Optimal control of microwave heating using mathematical models of medium complexity. Proc. ACoFoP IV. Göteborg, Sweden.
14. Thuery, J. 1992. Microwaves: Industrial, scientific, and medical applications. Artech House.
15. Yakovlev, V.V. 2004. Examination of contemporary electromagnetic software capable of modelling problems of microwave heating. In: Willert-Porada, M., Ed. Advances in Microwave and Radio Frequency Processing. Springer Verlag: 178–190.
16. Zhang, Q.J. and Gupta, P. 2000. Neural networks for RF and microwave design. Artech House.