Selective microwave heating can significantly impact the performance of multiphase reactors, such as slurry reactors, where the dispersed (solid particles) and continuum (liquid) phases have different dielectric properties. Lack of tools to measure and predict the temperature difference between the dispersed and continuum phases hinders the understanding and optimization of microwave-heated slurry reactors. We utilize experiments, theory, and multiscale simulations to investigate microwave heating of slurries consisting of microwave absorbing solid particles dispersed in a non-polar liquid. Using controlled experiments and mathematical modeling, we propose an ideal slurry reactor and develop analytical expressions to predict the temperature evolution of the solid and liquid phases during microwave heating. Our experiments show a strong impact of the solid material and concentration on the heating rate of slurries, whereas no difference is observed in conventionally heated slurries. We also perform multiscale simulations of microwave-heated slurries employing a coarse-graining methodology to handle the large separation of length scales in slurries and compare them against experiments.

选择性微波加热会显着影响多相反应器的性能，例如淤浆反应器，其中分散相（固体颗粒）和连续相（液相）具有不同的介电性能。缺乏测量和预测分散相和连续相之间的温差的工具，这妨碍了对微波加热浆液反应器的理解和优化。我们利用实验，理论和多尺度模拟研究浆液的微波加热，该浆液由微波吸收分散在非极性液体中的固体颗粒组成。使用受控实验和数学模型，我们提出了一种理想的浆料反应器并开发了解析表达式，以预测微波加热过程中固相和液相的温度变化。我们的实验表明，固体物质和浓度对浆料的加热速率有很大的影响，而在常规加热的浆料中没有观察到差异。我们还使用粗粒度方法对微波加热的浆液进行了多尺度模拟，以处理浆液中长度尺度的较大分离，并将其与实验进行比较。