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12 November 2024 Predictive study of uniformity of variable frequency microwave heating based on PSO-SVM
Biao Yang, Ying Yang, Bingyan Liu
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Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 1339509 (2024) https://doi.org/10.1117/12.3049866
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Due to the complexity of temporal and spatial characteristics during microwave heating, the unpredictability of the magnetic field makes it difficult to accurately predict the heating effect by traditional modeling methods. Aiming at the problems of uneven material temperature distribution and unpredictable heating results during microwave heating, a variable frequency strategy is proposed to improve the heating uniformity and estimate the heating effect using a support vector machine. Firstly, this paper proposes variable frequency heating to move the hot spot position according to the fixed frequency heating effect. Then the particle swarm optimization (PSO) algorithm support vector machine (SVM) model is introduced to predict the uniformity index of variable microwave heating. The numerical calculation results show that the proposed method has accurate prediction results for the heating results of the variable strategy.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Biao Yang, Ying Yang, and Bingyan Liu "Predictive study of uniformity of variable frequency microwave heating based on PSO-SVM", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 1339509 (12 November 2024); https://doi.org/10.1117/12.3049866
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KEYWORDS
Microwave radiation
Particle swarm optimization
Data modeling
Machine learning
Support vector machines
Temperature distribution
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