Abstract

In view of the different scaling rates of different types of materials, the deposition rate model of crystallization fouling is optimized in this paper. Firstly, a dynamic loop simulation experimental platform for scale accumulation is built. Based on the loop experimental results, the relationship between friction factor and Reynolds number and material surface physical parameters (surface energy, roughness and contact angle) is qualitatively analyzed. On this basis, the functional relationship between contact angle and friction factor under different flow regimes is established by using dimensional analysis and SPSS regression analysis; Secondly, the friction factor formula including surface physicochemical parameters is substituted into the deposition rate model of crystallization fouling, and then the optimized deposition rate model of crystallization fouling is obtained. Finally, the accuracy and reliability of the optimized crystallization fouling deposition rate model are verified by pipe flow experiment.

中文翻译：

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结晶污垢沉积速率模型优化研究

摘要

针对不同类型材料的结垢率不同，本文对结晶污垢的沉积速率模型进行了优化。首先，搭建了规模积累的动态回路模拟实验平台。基于回路实验结果，定性分析了摩擦因数与雷诺数和材料表面物理参数（表面能、粗糙度和接触角）之间的关系。在此基础上，利用量纲分析和SPSS回归分析，建立了不同流态下接触角与摩擦因数的函数关系；其次，将包含表面物理化学参数的摩擦因数公式代入结晶污垢的沉积速率模型，进而得到优化的结晶污垢沉积速率模型。最后通过管流实验验证了优化后的结晶结垢沉积速率模型的准确性和可靠性。