Scientific Reports (Dec 2023)

Investigation of drag reduction by slurry-like drag-reducing agent in microtube flow using response surface methodology (RSM)

  • Zhensong Cheng,
  • Xin Zhang,
  • Xinwang Song,
  • Xudong Wang,
  • Guoxin Zhang,
  • Yuan Lu,
  • Lei Li,
  • Feifan Liu,
  • Xiaodong Dai

DOI
https://doi.org/10.1038/s41598-023-49804-9
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Abstract In this study, we investigated the drag reduction property of a premixed slurry drag reducer in a millimeter-scale pipe. The aim of this study is to establish the correlation between Darcy friction factor and drag reducer concentration (C) and volume flow (Q). First, the experimental plan was designed by using the response surface method (RSM), and then the experimental data were processed to establish the quadratic correlation between the response variable and the description variable. After that, ANOVA analysis of variance was used to verify the accuracy of the experimental data and the correlation. Finally, the prediction model is extended to a larger concentration and volume flow range, and it is found that the accuracy between the predicted value of friction coefficient and the experimental value is ± 30%, thus verifying that the correlation is suitable for the small-scale fully turbulent region. Compared with traditional experimental design and correlation methods, the implementation of Response Surface Methodology (RSM) in this study not only reduces the experimental time but also yields a more robust correlation for predicting the friction coefficient.