Optimization of HF waves energy source for thermal treatment of building materials

Author:

Vorotyntseva Irina

Abstract

Building materials processing with the help of HF waves demonstrates a great number of perspective advantages as compared to traditional heating methods. In order to upgrade the technology of HF wave heating there exist a need to optimize the HF waves sources that enable us to consider some characteristic features of the process to a greater extend. To solve the task of optimizing a HF wave energy source we use the methods of the optimal control theory. The optimization has been carried out based on the gradient method. As a result we have found some optimal functional dependencies that describe the laws strength change of an electrostatic and a high-frequency field. Established managements help considerably enhance the efficiency of the energy exchange. The calculations we have carried out show that the chosen method enables an efficient optimization of a HF wave energy source with different restrictions of the governing function.

Publisher

EDP Sciences

Subject

General Medicine

Reference6 articles.

1. Jerby E., Meir Y. Ampere Y, 2015-15th international conference on microwave and high frequency heating, 35 (2015)

2. Effects of microwave heating on porous structure of regenerated powdered activated carbon used in xylose

3. Morozov A., Morozov O., Trebukh V., Kalimullin D., Prokopenko A., Actual problems of electronic instrumentation of APEP-2016, 787 (2017)

4. Emergence of traveling wave endothermic reaction in a catalytic fixed bed under microwave heating

5. A Cantor multilayer traveling wave applicator for microwave heating: Numerical analysis and design

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