Temperature uniformity optimization of multi-source microwave heating based on consistency theory

被引：0
作者：
Yang B. [1 ,2 ,3 ]
Gao H. [1 ]
Li X.-P. [3 ]
Cheng C. [1 ]
Du W. [1 ]
Liu C. [1 ]
Ma H.-T. [1 ]
机构：
[1] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming
[2] Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming
[3] Key Laboratory of Unconventional Metallurgy of Ministry of Education, Kunming University of Science and Technology, Kunming
来源：
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 04期
关键词：
consistency theory; cooperative control; intelligentization; microwave heating; multi-source; numerical calculation;
D O I：
10.13195/j.kzyjc.2021.1204
中图分类号：
学科分类号：
摘要：
In a microwave application device that uses a multi-microwave source array for spatial power synthesis, how to coordinate the feed-in power status information of multiple microwave sources to use the self-organization characteristics of temperature distribution to optimize temperature uniformity is the focus of this research. For this reason, on the one hand, this paper proposes the necessary elements for microwave sources to form an agent and constructs a technical solution. On this basis, the second-order non-fully connected communication topology consensus algorithm based on the algebraic graph theory is introduced to cooperate with the power feed state information of multiple microwave sources to ensure that there will be no new hot spots in the process of using self-organization characteristics to optimize temperature distribution. On the other hand, the finite element method is used to construct a numerical calculation model that solves the mixed optimization of integer variables and continuous variables. The effective calculations are carried out to optimize the uniformity of temperature field distribution. The simulation experiment verifies the effectiveness of the microwave source intelligentization scheme. The numerical calculation results show that the proposed model can improve the uniformity of 24.3 % ∼ 55.4 % and 20.4 % ∼ 82.9 % at each horizontal and vertical section respectively compared with the general heating model. Simultaneously, the thermal energy conversion efficiency can be improved by 10.0 % ∼ 43.7 %. The above results verify that the proposed multi-source microwave heating temperature uniformity optimization method based on the consistency theory is feasible and efficient. © 2023 Northeast University. All rights reserved.
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页码：989 / 998
页数：9
相关论文
共 21 条
  • [1] Zhou J, Yang X Q, Ye J H, Et al., Arbitrary Lagrangian-Eulerian method for computation of rotating target during microwave heating, International Journal of Heat and Mass Transfer, 134, pp. 271-285, (2019)
  • [2] Zhang M, Jia X B, Tang Z X, Et al., A fast and accurate method for computing the microwave heating of moving objects, Applied Sciences, 10, 8, pp. 2985-2999, (2020)
  • [3] Yang B, Sun J, Li W, Et al., Numerical modeling dynamic process of multi-feed microwave heating of industrial solution media, Journal of Central South University, 23, 12, pp. 3192-3203, (2016)
  • [4] Bhattacharya M, Punathil L, Basak T., A theoretical analysis on the effect of containers on the microwave heating of materials, International Communications in Heat and Mass Transfer, 82, pp. 145-153, (2017)
  • [5] Meng Q, Lan J Q, Hong T, Et al., Effect of the rotating metal patch on microwave heating uniformity, Journal of Microwave Power and Electromagnetic Energy, 52, 2, pp. 94-108, (2018)
  • [6] Ye J H, Hong T, Wu Y Y, Et al., Model stirrer based on a multi-material turntable for microwave processing materials, Materials, 10, 2, pp. 95-108, (2017)
  • [7] Ye J H, Lan J Q, Xia Y, Et al., An approach for simulating the microwave heating process with a slow- rotating sample and a fast-rotating mode stirrer, International Journal of Heat and Mass Transfer, 140, pp. 440-452, (2019)
  • [8] Liao Y H, Lan J Q, Zhang C, Et al., A phase-shifting method for improving the heating uniformity of microwave processing materials, Materials, 9, 5, pp. 309-321, (2016)
  • [9] Boonthum D, Chanprateep S, Ruttanapun C, Et al., Development of hightemperature multimagnetron microwave furnace for material processing, Songklanakarin Journal of Science and Technology, 41, 3, pp. 494-500, (2019)
  • [10] He J L, Yang Y, Zhu H C, Et al., Microwave heating based on two rotary waveguides to improve efficiency and uniformity by gradient descent method, Applied Thermal Engineering, 178, (2020)
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