Effective Optimization of Temperature Uniformity and Power Efficiency in Two-ports Microwave Ovens

Hu, Xiao; Yang, Xiao Qing; Jia, Guo

doi:10.1080/08327823.2014.11689889

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…The calculated results were compared with the results in [27], as shown in Figure 2. It can be seen from the diagram that the results obtained by the mathematical model in this paper are close to the results in the literature, but the temperature rise rate is slightly larger than that in literature.…”

Section: Resultsmentioning

confidence: 99%

“…In order to verify the accuracy of the mathematical model of this article, this model was used to calculate the physical model in [27]; the specific calculation process was not expressed in this article. The calculated results were compared with the results in [27], as shown in Figure 2.…”

Section: Resultsmentioning

confidence: 99%

“…Researches on aspects other than the target object like microwave equipment structure [26,27], microwave properties [28], microwave processing strategies [20,29], and experimental verifications [30,31] are also being performed at the same time. Even though all factors affect the results in the microwave treatment process, it is too complex to take overall consideration of them.…”

Section: Introductionmentioning

confidence: 99%

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Shape Effect on the Temperature Field during Microwave Heating Process

Zhang

2018

Journal of Food Quality

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Aiming at improving the food quality during microwave process, this article mainly focused on the numerical simulation of shape effect, which was evaluated by microwave power absorption capability and temperature distribution uniformity in a single sample heated in a domestic microwave oven. This article only took the electromagnetic field and heat conduction in solid into consideration. The Maxwell equations were used to calculate the distribution of microwave electromagnetic field distribution in the microwave cavity and samples; then the electromagnetic energy was coupled as the heat source in the heat conduction process in samples. Quantitatively, the power absorption capability and temperature distribution uniformity were, respectively, described by power absorption efficiency (PAE) and the statistical variation of coefficient (COV). In addition, we defined the comprehensive evaluation coefficient (CEC) to describe the usability of a specific sample. In accordance with volume or the wave numbers and penetration numbers in the radial and axial directions of samples, they can be classified into different groups. And according to the PAE, COV, and CEC value and the specific need of microwave process, an optimal sample shape and orientation could be decided.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shape Effect on the Temperature Field during Microwave Heating Process

Zhang

2018

Journal of Food Quality

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“…Two of the most widely accepted strategies applied for better heating uniformity, turntable, and mode stirrers, are vastly simulated with 3-D models for a better understanding of the interactions between the nonstationary electric field and the target food products [ 17 , 22 , 24 , 41 , 55 , 57 ]. The models were also developed and used to explore the potential advantages of different improvement approaches, such as using multiple microwave ports [ 42 ], optimization of the waveguide geometry design [ 43 ], and mode stirrer made of multiple materials [ 23 ].…”

Section: Mechanistic Modelsmentioning

confidence: 99%

Mechanistic and Machine Learning Modeling of Microwave Heating Process in Domestic Ovens: A Review

Yang

Chen

2021

Foods

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The domestic microwave oven has been popularly used at home in heating foods for its rapid heating rate and high power efficiency. However, non-uniform heating by microwave is the major drawback that can lead to severe food safety and quality issues. In order to alleviate this problem, modeling of microwave heating process in domestic ovens has been employed to simulate and understand the complicated interactions between microwaves and food products. This paper extensively reviews the mechanistic models with different geometric dimensions and physics/kinetics that simulated the microwave heating process. The model implementation and validation strategies related to the model accuracy and efficiency are also discussed. With the emergence of the machine learning technique, this paper also discusses the recent development of hybrid models that integrate machine learning with mechanistic models in improving microwave heating performance. Besides, pure machine learning models using only experimental data as input are also covered. Further research is needed to improve the model accuracy, efficiency, and ease of use to enable the industrial application of the models in the development of microwave systems and food products.

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“…Uniform temperature distributions also exist in multigenerator microwave reactors. Hu optimized a dual-port microwave oven and observed high uniformity and heating efficiency . Santos created a more uniform heating effect to process porcelain tableware in a six-waveguide MW reactor .…”

Section: Introductionmentioning

confidence: 99%

Modeling for Temperature Distribution of Water in a Multiwaveguide Microwave Reactor

Chen

Qiao

Arowo

et al. 2020

Ind. Eng. Chem. Res.

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The work herein employed COMSOL Multiphysics simulation and experiment to study the temperature distribution of water in a specially designed cylindrical microwave (MW) reactor with two magnetrons. A numerical model was developed by combining three modules including radio frequency (RF), fluid heat transfer, and nonisothermal fluid flow. The experimental results of the temperature distribution corresponded with simulative values. Additional experiments and simulations of a single microwave port as well as two different combinations of ports were carried out to confirm the uniformity of the results. Results show that two parallel waveguides are better than both a single waveguide and two perpendicular waveguides in terms of uniformity and efficiency at the same incident power.

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Effective Optimization of Temperature Uniformity and Power Efficiency in Two-ports Microwave Ovens

Cited by 10 publications

References 19 publications

Shape Effect on the Temperature Field during Microwave Heating Process

Shape Effect on the Temperature Field during Microwave Heating Process

Mechanistic and Machine Learning Modeling of Microwave Heating Process in Domestic Ovens: A Review

Modeling for Temperature Distribution of Water in a Multiwaveguide Microwave Reactor

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