Simulation model for moving food packages in microwave heating processes using conformal FDTD method

Chen, H.; Tang, Juming; Liu, F.

doi:10.1016/j.jfoodeng.2008.02.020

Cited by 71 publications

(25 citation statements)

References 28 publications

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“…Understanding how microwaves interact with food will help food scientists develop packaged food products that provide better cooking performance in domestic microwave ovens in terms of heating uniformity (Bradshaw et al, 1997;Gunasekaran and Yang, 2007;Rakesh et al, 2009;Ryynänen et al, 2004). A coupled electromagnetic and heat transfer model is a promising tool for understanding the multiphysics process involved in microwave heating (Chen et al, 2008;Geedipalli et al, 2007;Pitchai et al, 2012).…”

mentioning

confidence: 99%

Temperature-Dependent Dielectric and Thermal Properties of Whey Protein Gel and Mashed Potato

Chen¹,

Pitchai²,

Birla³

et al. 2013

Trans.ASABE

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mentioning

confidence: 99%

Temperature-Dependent Dielectric and Thermal Properties of Whey Protein Gel and Mashed Potato

Chen¹,

Pitchai²,

Birla³

et al. 2013

Trans.ASABE

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“…As practical ways of determining the temperature distribution within a shell egg would be challenging and tedious, research for alternative ways of determining it is mandatory to design a good heating process for shell eggs. 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].…”

Section: Introductionmentioning

confidence: 99%

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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“…Computer simulation based on fundamental electromagnetic wave and heat transfer equations can assist the design of MW applicators and help understanding of what is really happening inside the cavity during the MW heating, in terms of field distribution and power absorbed by load and the temperature distribution (Chen, Tang et al 2008). …”

Section: Modelling Of Mw Heatingmentioning

confidence: 99%

“…Maxwell's equations (Chen, Tang et al 2008). This conformal FDTD creates finite boundary grids that conform to geometric surface to match the objects more accurately, while retaining the regular grids used in the traditional FDTD algorithm for other parts of the three-dimensional domain (Chen, Tang et al 2008).…”

Section: Modelling Of Mw Heatingmentioning

confidence: 99%

“…This conformal FDTD creates finite boundary grids that conform to geometric surface to match the objects more accurately, while retaining the regular grids used in the traditional FDTD algorithm for other parts of the three-dimensional domain (Chen, Tang et al 2008). Some commercial versions of FDTD algorithms are available with CST MICROWAVE STUDIO and CONCERTO-Vector Fields Software (product line of Cobham Technical Service).…”

Section: Modelling Of Mw Heatingmentioning

confidence: 99%

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Microwave processing of minerals

Jokovic¹

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The present growth in population drives a need for minerals resources and this coupled with the fact that the quality of mineral deposits are rapidly decreasing makes such minerals harder to obtain in the future. Therefore, society is facing the problem of how to efficiently mine (reduce energy consumption) and process low-grade deposits that are current un-economic. To overcome these issues, researchers have focussed on mineral sorting. Mineral sorting is a method of particle separation, where the desired metals (gold...) or ore minerals (chalcopyrite...) are separated from gangue or waste minerals and unwanted rocks. In this way, the efficiency of the downstream processes (grinding and flotation) is increased by reducing the amount of material to be processed and increasing its grade. The ultimate economic benefit of ore sorting is making un-economic low-grade deposits exploitable.The main idea of microwave/infra-red (MW/IR) ore sorting is to use MW heating to selectively heat ore particles and separate particles based on their temperatures. This is based on the assumption that during the MW exposure some metal rich minerals tend to heat more than other minerals. A great challenge in this approach however, is to adapt microwave technology which has traditionally been used for low throughputs of materials to the demands of the mining industry where hundreds of thousands of tonnes of material are processed each day.Microwave heating inside a multimode cavity is not uniform and depends on various factors such as, a cavity design, dielectric properties of treated material and etc.Therefore, in applications such as MW/IR ore sorting it is desirable to have a parameter that will quantify non-uniform heating for continuously operated cavities MW heating in context of MW/IR ore sorting, is not used to heat the rock particles in order to initiate a chemical process, but for selective heating so the sorting of ore particles based on their temperature can be completed. Therefore, non-uniform heating caused by the design of a MW applicator can be considered as a systematic error. Therefore, it is of interest to find a way to separate the effect of the instrument (MW applicator) from the material response.Based on the above overview, several focusing questions were defined for the project: Is it possible to quantify the heating uniformity of continuous microwave cavities using software which simulates MW heating of batch cavities? iv  Is there a way to take into account of non-uniform heating into decision making process (of a MW/IR ore sorting), which would reduce the impact on sorting performance for any particular ore type? Design continuously processing multimode cavity, capable to selectively heat ore particles in a uniform manner for a frequency of 922MHzThese are the conclusions from this investigation: A new parameter for quantifying the heating uniformity for continuous microwave cavities has been defined. The parameter can be calculated based on the experimental or the simulation results and it is use...

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Simulation model for moving food packages in microwave heating processes using conformal FDTD method

Cited by 71 publications

References 28 publications

Temperature-Dependent Dielectric and Thermal Properties of Whey Protein Gel and Mashed Potato

Temperature-Dependent Dielectric and Thermal Properties of Whey Protein Gel and Mashed Potato

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

Microwave processing of minerals

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