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Numerical analysis of rectangular type batch ohmic heater to identify the cold point

机译:矩形批量欧姆加热器识别冷点的数值分析

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The objective of this research was to precisely simulate the temperature distribution and inactivation of Escherichia coli O157:H7 by batch ohmic heating pasteurization of orange juice based on a time‐dependent numerical model. A finite element method (FEM) embedded with pathogen inactivation codes using Java language simultaneously solved electric heating, k‐ε turbulent flow, and heat transfer equations and dealt with natural heat losses through the walls and air as the boundary conditions. The simulated temperature distribution and populations of E. coli O157:H7 did not differ from the experimental data for every treatment time within a relative error of 6.0%. A cold point problem was observed in the bottom corner, which was more severe for large orange juice samples, leading to an increased treatment time in order to ensure a 5‐log reduction of E. coli O157:H7.
机译:本研究的目的是通过基于时间依赖的数值模型,精确地模拟大肠杆菌O157:H7的温度分布和灭活大肠杆菌O157:H7。使用Java语言同时解决电加热,K-ε湍流和传热方程的病原体灭活码嵌入有限元方法(FEM),并通过墙壁和空气处理自然热损失作为边界条件。模拟温度分布和大肠杆菌O157:H7的群体与每次治疗时间的实验数据不同,在6.0%的相对误差内。在底部角度观察到冷点问题,对于大型橙汁样品更严重,导致治疗时间增加,以确保大肠杆菌O157:H7的5次数减少。

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