Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven
The microwave oven has become a standard appliance to reheat or cook meals in households and convenience stores. However, the main problem of microwave heating is the non-uniform temperature distribution, which may affect food quality and health safety. A three-dimensional mathematical model was dev...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/10/7/1622 |
| _version_ | 1797527187446824960 |
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| author | Wipawee Tepnatim Witchuda Daud Pitiya Kamonpatana |
| author_facet | Wipawee Tepnatim Witchuda Daud Pitiya Kamonpatana |
| author_sort | Wipawee Tepnatim |
| collection | DOAJ |
| description | The microwave oven has become a standard appliance to reheat or cook meals in households and convenience stores. However, the main problem of microwave heating is the non-uniform temperature distribution, which may affect food quality and health safety. A three-dimensional mathematical model was developed to simulate the temperature distribution of four ready-to-eat sausages in a plastic package in a stationary versus a rotating microwave oven, and the model was validated experimentally. COMSOL software was applied to predict sausage temperatures at different orientations for the stationary microwave model, whereas COMSOL and COMSOL in combination with MATLAB software were used for a rotating microwave model. A sausage orientation at 135° with the waveguide was similar to that using the rotating microwave model regarding uniform thermal and electric field distributions. Both rotating models provided good agreement between the predicted and actual values and had greater precision than the stationary model. In addition, the computational time using COMSOL in combination with MATLAB was reduced by 60% compared to COMSOL alone. Consequently, the models could assist food producers and associations in designing packaging materials to prevent leakage of the packaging compound, developing new products and applications to improve product heating uniformity, and reducing the cost and time of the research and development stage. |
| first_indexed | 2024-03-10T09:39:33Z |
| format | Article |
| id | doaj.art-b6ce94b70a1e4bbe9f3fa047e62a8769 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T09:39:33Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-b6ce94b70a1e4bbe9f3fa047e62a87692023-11-22T03:48:08ZengMDPI AGFoods2304-81582021-07-01107162210.3390/foods10071622Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave OvenWipawee Tepnatim0Witchuda Daud1Pitiya Kamonpatana2Department of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, ThailandNational Metal and Materials Technology Center, National Science and Technology Development Agency, Thailand Science Park, Pathum Thani 12120, ThailandDepartment of Food Science and Technology, Faculty of Agro-Industry, Kasetsart University, Bangkok 10900, ThailandThe microwave oven has become a standard appliance to reheat or cook meals in households and convenience stores. However, the main problem of microwave heating is the non-uniform temperature distribution, which may affect food quality and health safety. A three-dimensional mathematical model was developed to simulate the temperature distribution of four ready-to-eat sausages in a plastic package in a stationary versus a rotating microwave oven, and the model was validated experimentally. COMSOL software was applied to predict sausage temperatures at different orientations for the stationary microwave model, whereas COMSOL and COMSOL in combination with MATLAB software were used for a rotating microwave model. A sausage orientation at 135° with the waveguide was similar to that using the rotating microwave model regarding uniform thermal and electric field distributions. Both rotating models provided good agreement between the predicted and actual values and had greater precision than the stationary model. In addition, the computational time using COMSOL in combination with MATLAB was reduced by 60% compared to COMSOL alone. Consequently, the models could assist food producers and associations in designing packaging materials to prevent leakage of the packaging compound, developing new products and applications to improve product heating uniformity, and reducing the cost and time of the research and development stage.https://www.mdpi.com/2304-8158/10/7/1622microwave heatingmathematical modelingsimulationrotationsausages |
| spellingShingle | Wipawee Tepnatim Witchuda Daud Pitiya Kamonpatana Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven Foods microwave heating mathematical modeling simulation rotation sausages |
| title | Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven |
| title_full | Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven |
| title_fullStr | Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven |
| title_full_unstemmed | Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven |
| title_short | Simulation of Thermal and Electric Field Distribution in Packaged Sausages Heated in a Stationary Versus a Rotating Microwave Oven |
| title_sort | simulation of thermal and electric field distribution in packaged sausages heated in a stationary versus a rotating microwave oven |
| topic | microwave heating mathematical modeling simulation rotation sausages |
| url | https://www.mdpi.com/2304-8158/10/7/1622 |
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