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Study on Deposition Rate Model Optimization of Crystallization Fouling

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Journal of Engineering Thermophysics Aims and scope

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.

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Authors and Affiliations

  1. Xi’an Shiyou University, Shaanxi Xi’an, China

    H. Jiang, J. Wang & N. Sun

  2. Sinopec Zhejiang Jiaxing Petroleum Company, Zhejiang Jiaxing, China

    J. Li

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  1. H. Jiang
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  4. N. Sun
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Correspondence to H. Jiang.

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Jiang, H., Wang, J., Li, J. et al. Study on Deposition Rate Model Optimization of Crystallization Fouling. J. Engin. Thermophys. 32, 162–179 (2023). https://doi.org/10.1134/S1810232823010125

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  • DOI: https://doi.org/10.1134/S1810232823010125

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