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May 26, 2026Processes1 citationsOpen Access

Review of the CFD Simulations of High-Viscosity Fluid Mixing in Mixers

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ZCZiqi CaiMLMinda LuZLZhipeng Li

Key Points

  • This review aims to assess the challenges and mechanisms involved in high-viscosity fluid mixing using CFD simulations.
  • Reviewed various mixing mechanisms relevant to high-viscosity fluids.
  • Summarized CFD models and constitutive equations applied in simulations.
  • Discussed numerical diffusion challenges and the application of machine learning to improve simulations.
  • Identified laminar stretching and folding as the main mixing mechanisms for high-viscosity fluids.
  • Highlighted the issues of numerical diffusion and the high Weissenberg number in current simulations.
  • Proposed machine learning as a promising approach to enhance simulation accuracy and efficiency.

Abstract

High-viscosity fluid mixing is a critical unit operation in chemical engineering and polymer processing. Its efficiency and uniformity directly determine product quality and production costs. This paper reviews the mixing mechanisms of high-viscosity fluids, which rely on laminar stretching and folding rather than turbulent eddies, and summarizes the corresponding CFD models and constitutive equations of fluid. It also introduces different methods to reduce numerical diffusion and summarizes high-viscosity mixers. Current challenges, such as numerical diffusion in laminar simulations and the high Weissenberg number problem, are discussed. The application of machine learning in CFD simulations is considered a prospective method to enhance the accuracy and efficiency of simulations involving high-viscosity fluid mixing.

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Cite This Study

Cai et al. (2026) studied this question.

synapsesocial.com/papers/6a153bdfb5d9c58d83e8d4afhttps://doi.org/10.3390/pr14111696
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