Research on temperature uniformity of microwave heating system with multiple microwave source power combinations optimized by improved whale algorithm
The uniformity of electromagnetic field and temperature field in the combined heating system of multiple microwave sources not only affects the heating quality of materials,but also affects the energy efficiency of material heating. In this paper,the power allocation of each microwave source in the multi-source microwave heating system was investigated,and the whale optimization algorithm was applied to improve the temperature uniformity of materials heated by multi-microwave sources. The power combination of multiple microwave sources in the heating system was constructed as an individual of a whale population. The total microwave power was set as a constraint and the material temperature uniformity was taken as an objective function to realize the sufficient condition for the power allocation of multiple microwave sources to achieve a uniform temperature distribution,and then,the whale optimization algorithm was improved to enhance the search accuracy and convergence speed,and a population-based initial generation and iterative algorithm was applied to allocate suitable power to each microwave,thereby achieving uniform distribution of temperature. The model was co-simulated by Matlab and COMSOL software,combing the algorithm's iterative optimization process and the simulated heating temperature identification process. The results demonstrate that the improved whale optimization algorithm has a better temperature uniformity compared to other algorithms.
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