Computer Simulation of Temperature Distribution of Frozen Material Heated in a Microwave Oven

Watanabe, Shinya; Karakawa, Masaki; Hashimoto, Osamu

doi:10.1109/tmtt.2010.2045526

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…Many papers have used electromagnetic simulations to examine the heating of food and other objects inside a microwave oven [26][27][28][29]. FDTD is also a popular simulation tool for understanding microwave assisted sintering of ceramic components [30] and has been validated using analytical solutions [31] as well as finite element methods [32].…”

Section: Final Author Versionmentioning

confidence: 99%

Electromagnetic simulation studies of microwave assisted heating for the processing of nanostructured iron oxide for solar driven water splitting

Saremi‐Yarahmadi

Whittow

Vaidhyanathan

2013

Applied Surface Science

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Microwave assisted preparation has been shown to improve the performance of hematite photoelectrodes for solar driven water splitting. To understand the microwave heating process further, the distribution of the electromagnetic (EM) fields within the material is analysed using finite-difference time-domain (FDTD) EM software. The rate of the increase in temperature is calculated from the simulated EM field distributions. In order to validate the simulation results, the calculated temperatures were compared with the experimental temperatures obtained using a thermal imaging camera.

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Section: Final Author Versionmentioning

confidence: 99%

Electromagnetic simulation studies of microwave assisted heating for the processing of nanostructured iron oxide for solar driven water splitting

Saremi‐Yarahmadi

Whittow

Vaidhyanathan

2013

Applied Surface Science

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“…For an incompressible food material heated under constant pressure [19], the thermal energy equation is given by Equation (16).…”

Section: Heat Transfermentioning

confidence: 99%

“…Recently, computer simulation studies have gained increased attention as they are increasingly used in studies to predict temperature distribution within biological medium in heating or cooking process [8][9][10][11][12][13][14][15][16][17][18][19]. For instance, Watanabe et al have used computer simulation studies to predict the temperature distribution in frozen tuna when heated in commercial microwave oven [16]. The have coupled finite-difference time domain method, semi-implicit method, Monte Carlo method and radiative energy absorption distribution method to predict the temperature [16].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Watanabe et al have used computer simulation studies to predict the temperature distribution in frozen tuna when heated in commercial microwave oven [16]. The have coupled finite-difference time domain method, semi-implicit method, Monte Carlo method and radiative energy absorption distribution method to predict the temperature [16]. It was found that the predicted temperature by this method was well validated experimentally [16].…”

Section: Introductionmentioning

confidence: 99%

“…The have coupled finite-difference time domain method, semi-implicit method, Monte Carlo method and radiative energy absorption distribution method to predict the temperature [16]. It was found that the predicted temperature by this method was well validated experimentally [16]. Birla et al used finite element computer modeling to predict the temperature distribution while heating a model fruit which is spherical in shape in parallel plate radio frequency (RF) heating system [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Radiofrequency Heating of in-Shell Eggs Through Finite Element Modeling and Experimental Trials

Dev¹,

Kannan²,

Gariépy³

et al. 2012

PIER B

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Abstract-Considering Radio Frequency (RF) heating as a viable alternative for the in-shell heating of eggs, Finite Element Modeling and simulation of RF heating of in-shell eggs at 27.12 MHz were carried out to assess the feasibility and heating uniformity of the process. According to the recommendations of USDA-FSIS for the pasteurization of eggs, egg white must be heated up to 57.5 • C, and the egg yolk has to be heated up to 61.1 • C for 2 min. The objective of the simulation was to determine the location of hot and cold spots generated due to non-uniform heating. A parallel plate setup for Radio Frequency heating was simulated for different electric field strength levels and orientations of the egg (long axis parallel and long axis perpendicular to the plates). The simulation results were experimentally verified and the simulation procedure was validated using a laboratory parallel plate RF setup. A coaxial cavity design was simulated with a similar approach. Results indicated that both the parallel and coaxial cavity designs were suitable for in-shell pasteurization of eggs provided that the eggs were rotated to maintain the uniformity in heating. After the simulation of RF heating process, the process optimization was carried out to determine the most effective procedure for the process. The varying parameters obtained by using different modeling techniques for radiofrequency heating of in-shell eggs, were optimized using MATLAB. Laboratory scale experimental trials were conducted to test the validity and effectiveness of the optimized parameters. The optimal parameters set forth were found to be more efficient in terms of heating time and uniformity.

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Microwave Ovens: Domestic and Industrial

Zhang,

Luan

2024

Food Engineering Series

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Computer Simulation of Temperature Distribution of Frozen Material Heated in a Microwave Oven

Cited by 19 publications

References 18 publications

Electromagnetic simulation studies of microwave assisted heating for the processing of nanostructured iron oxide for solar driven water splitting

Electromagnetic simulation studies of microwave assisted heating for the processing of nanostructured iron oxide for solar driven water splitting

Optimization of Radiofrequency Heating of in-Shell Eggs Through Finite Element Modeling and Experimental Trials

Microwave Ovens: Domestic and Industrial

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