Startseite Antenna structure design and heating efficiency in high-speed microwave ovens
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Antenna structure design and heating efficiency in high-speed microwave ovens

  • Xiangyu Ma , Yuchao Wu , Qinggang Duan , Ruifang Wang EMAIL logo und Fan Zhang
Veröffentlicht/Copyright: 27. Oktober 2025
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Abstract

In order to enhance the heating efficiency of commercial high-speed microwave ovens, the microwave antenna composed of the inner conductor and the guide plate was designed based on the prototype using numerical simulation method. The heating efficiency, heating uniformity, and heating performance on foods (croissants, pizza, panini, donuts, and beef patty) between the optimized machine and the prototype were compared and analyzed. The results showed that the average electric field intensity in the effective heating area of the optimized scheme increased by 78.78 %. Using water as the test object, the temperature rise elevated by 17.97 %, and the microwave absorption efficiency increased by 6.1 %. In the combined microwave-hot air heating of bread, pizza (dough), panini, doughnuts, and beef patty, both the internal and surface temperature rises of the foods under the optimized scheme were higher than those of the prototype. The average temperature rise increased by 13.53 % and 12.97 %, respectively. The designed optimized scheme can further reduce the heating time of the high-speed microwave oven, thus meeting the requirements of rapid food heating.


Corresponding author: Ruifang Wang, Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, Tianjin University of Science and Technology, Tianjin, 300222, China; and Tianjin International Joint Research and Development Center of Low-Carbon Green Process Equipment, Tianjin University of Science and Technology, Tianjin, 300222, China, E-mail:

Funding source: The Natural Science Foundation of Inner Mongolia

Award Identifier / Grant number: No.2023QN03060

Acknowledgments

The authors express their sincere appreciation to the Natural Science Foundation of Inner Mongolia (Grant No.2023QN03060) for supporting the study financially.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-01-06
Accepted: 2025-09-29
Published Online: 2025-10-27

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