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Numerical estimation of the effective moisture diffusivity during microwave heating of food

机译:食品微波加热过程中有效水分扩散率的数值估算

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The objective of this work is to develop a numerical model that allows the estimation of the effectivemoisture diffusivity and the mass transfer coefficient at the surface of food products exposed to microwaveradiations. The model does not require the resolution of Maxwell’s equations and closed-form expressionsare used to compute the microwave energy dissipated inside the food due to dielectric heating. An inversemethod is used for the parameters estimation and a numerical procedure is fully developed. The mass transferequation for moisture and the closed-form expressions for the microwaves are coupled to the heat transferequation via a finite elements scheme. The methodology is first tested with fictitious experimental dataobtained from numerical results to which random noise is added. Based on the numerical results, thedistribution of moisture content within the sample is also discussed. Numerical results show that the moisturecontent gradient at the end of the process is mainly influenced by the value of the moisture diffusivity.Experiments of microwave heating are finally carried out on a sample inside a waveguide. The evolution oftemperatures during the heating is first used to determine more accurately the power absorbed by the sample.The final moisture distribution is then used to estimate the effective moisture diffusivity and the mass transfercoefficient. The study constitutes a preliminary step in the development of a more accurate model. It showsthe relevance and the limits of the inverse methodology applied to the determination of diffusionmechanisms.
机译:这项工作的目的是建立一个数值模型,以便估算有效 暴露于微波的食品表面的水分扩散率和传质系数 辐射。该模型不需要Maxwell方程和闭式表达式的分辨率 用于计算由于介电加热而散发在食品内部的微波能量。逆 该方法用于参数估计,并充分开发了数值程序。传质 水分方程和微波的闭合形式与热传递耦合 等式通过有限元方案。该方法首先用虚拟实验数据进行测试 从数值结果中获得,再加上随机噪声。根据数值结果, 还讨论了样品中水分含量的分布。数值结果表明,水分 工艺结束时的含量梯度主要受水分扩散率值的影响。 最后,对波导内部的样品进行了微波加热实验。的演变 首先使用加热过程中的温度来更准确地确定样品吸收的功率。 然后使用最终的水分分布来估算有效的水分扩散率和传质 系数。该研究是开发更准确的模型的第一步。表明 反演方法在扩散测定中的相关性和局限性 机制。

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