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基于Fluent的黄桃罐头杀菌过程数值模拟及其形状优化
引用本文:孙学良,付志强,张蕾,曹恩国,郭晋婷,姚倩儒.基于Fluent的黄桃罐头杀菌过程数值模拟及其形状优化[J].食品与机械,2019(7):128-133.
作者姓名:孙学良  付志强  张蕾  曹恩国  郭晋婷  姚倩儒
作者单位:天津科技大学包装创新设计实验室;江南大学;中粮营养健康研究院有限公司
基金项目:国家自然科学基金(编号:51505191);江苏省社会科学基金(编号:16ZHC003);天津科技大学青年创新基金(编号:2016LG27)
摘    要:探究食品罐头杀菌作业中的升温过程,研究现有罐头包装尺寸变化对提升杀菌效率及节能降耗的影响程度。使用ANSYS Fluent软件进行流场及温度场进行仿真分析,通过试验验证模拟的可靠性。在此基础上改进黄桃罐头的瓶体形状,提升杀菌效率。结果表明:试验结果与模拟结果升温趋势一致,最大误差为3.5°。罐头底部直径大小与罐内最高流速呈负相关,150s时,罐头底部直径越小,罐内液体最高流速越高。相同高度与容积条件下,缩小底部直径可以提高杀菌效率,底部直径为52.5mm的罐头杀菌效果最好,与圆柱罐头相比效率提升10.26%。通过ANSYS Fluent可以准确模拟食品罐头在杀菌过程中的温度场变化。

关 键 词:罐头包装  有限元分析  ANSYS  FLUENT  优化设计
收稿时间:2019/1/15 0:00:00

Numerical simulation and optimization of sterilization process of canned yellow peach based on Fluent
SUNXueliang,FUZhiqiang,ZHANGLei,CAOEnguo,GUOJinting,YAOQianru.Numerical simulation and optimization of sterilization process of canned yellow peach based on Fluent[J].Food and Machinery,2019(7):128-133.
Authors:SUNXueliang  FUZhiqiang  ZHANGLei  CAOEnguo  GUOJinting  YAOQianru
Affiliation:(Tianjin University of Science and Technology, Laboratory of Innovative Packaging Design,Tianjin 300222, China;Jiangnan University, Wuxi, Jiangsu 214122, China;COFCO Nutrition and Health Research Institute Co., Ltd., Beijing 102209, China)
Abstract:To explore the heating process in food canning sterilization operation, the influence of the size change of the existing canned packaging on improving sterilization efficiency, energy saving, and consumption reduction was investigated. The flow field and temperature field were simulated and analyzed by ANSYS Fluent software, and the reliability of the simulation was verified by experiments. On this basis, the bottle shape of canned yellow peach was improved to improve the sterilization efficiency. The results showed that the temperature rising trend of the test results was consistent with that of the simulation results, and the maximum error was 3.5 degrees. The diameter of the bottom of the can was negatively correlated with the maximum flow rate in the tank. The smaller the diameter of the bottom of the can was, the higher the maximum flow rate of the liquid in the tank was. Under the same height and volume conditions, reducing the bottom diameter could improve the bactericidal efficiency. Canned cans with the bottom diameter of 52.5 mm had the best bactericidal effect, and the efficiency was 10.26% higher than that of cylindrical cans. ANSYS Fluent could accurately simulate the change of temperature field in the sterilization process of canned food, and provide the basis for optimizing the sterilization process.
Keywords:canned package  finite element analysis  ANSYS Fluent  optimization design
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