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Article

Flow-Field Modeling and Mixing Mechanisms of the Twin-Shaft Mixers Based on LBM–LES Coupling

1
School of Intelligent Transportation, Zhejiang Polytechnic University of Mechanical and Electrical Engineering, Hangzhou 310053, China
2
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
3
School of Mechanical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Machines 2026, 14(1), 56; https://doi.org/10.3390/machines14010056 (registering DOI)
Submission received: 14 October 2025 / Revised: 14 November 2025 / Accepted: 21 November 2025 / Published: 1 January 2026
(This article belongs to the Section Machine Design and Theory)

Abstract

In modern industrial systems, twin-shaft mixers are key units for efficient mixing and reactions; their performance directly affects product quality, production cycle, and energy consumption across the chemical, pharmaceutical, food, and lithium-battery-slurry sectors. Systematic elucidation of the mixing mechanisms is hindered by strongly three-dimensional, unsteady, and nonlinear flow fields induced by the complex motions of the two shafts. To address these issues, an advanced coupled numerical model combining the lattice Boltzmann method (LBM) and large-eddy simulation (LES) in an integrated LBM–LES framework is developed, incorporating the Smagorinsky subgrid-scale model to capture small-scale turbulent dissipation under high-Reynolds-number conditions with fidelity. The model enables systematic simulations across configurations with varying blade counts, quantitatively revealing how blade count governs flow structures and mixing performance. The results show that blade count is a key design parameter for performance tuning. A four-blade configuration generates moderately strong, well-distributed turbulence and vortical structures in both the main-shaft and side-shaft regions. The generated turbulence and vortical structures, in turn, promote effective global blending and mass transfer while avoiding localized energy over concentration, unnecessary power loss, and overheating risk, thereby achieving an optimal balance among mixing efficiency, energy consumption, and operational stability. These findings provide a solid theoretical basis and a reliable numerical paradigm for the refined design and performance optimization of industrial mixing equipment.
Keywords: twin-shaft mixer; LBM–LES coupling; dynamical modeling; blade count; mixing mechanism twin-shaft mixer; LBM–LES coupling; dynamical modeling; blade count; mixing mechanism

Share and Cite

MDPI and ACS Style

Zhao, W.; Ye, J.; Li, L.; Zheng, G. Flow-Field Modeling and Mixing Mechanisms of the Twin-Shaft Mixers Based on LBM–LES Coupling. Machines 2026, 14, 56. https://doi.org/10.3390/machines14010056

AMA Style

Zhao W, Ye J, Li L, Zheng G. Flow-Field Modeling and Mixing Mechanisms of the Twin-Shaft Mixers Based on LBM–LES Coupling. Machines. 2026; 14(1):56. https://doi.org/10.3390/machines14010056

Chicago/Turabian Style

Zhao, Wentao, Jianxiong Ye, Lin Li, and Gaoan Zheng. 2026. "Flow-Field Modeling and Mixing Mechanisms of the Twin-Shaft Mixers Based on LBM–LES Coupling" Machines 14, no. 1: 56. https://doi.org/10.3390/machines14010056

APA Style

Zhao, W., Ye, J., Li, L., & Zheng, G. (2026). Flow-Field Modeling and Mixing Mechanisms of the Twin-Shaft Mixers Based on LBM–LES Coupling. Machines, 14(1), 56. https://doi.org/10.3390/machines14010056

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