Direct numerical simulations and modeling of pseudoplastic fluid mixing driven by a perturbed six‐bent‐blade turbine

ABSTRACT The cavern effect strongly impacts mixing efficiency in pseudoplastic fluids stirred in tanks. Perturbed six‐bent‐blade turbine impellers suppress cavern formation effectively, yet existing models cannot predict cavern size and morphology consistently. To overcome this, we develop a high‐fidelity framework coupling the lattice Boltzmann method with the immersed boundary method, enabling direct numerical simulations of pseudoplastic fluid mixing driven by a rotating perturbed six‐bent‐blade turbine. By varying mass concentration and rotational speed, we identify three distinct flow regimes. Based on these results, we propose an elongated heart‐shaped cavern model that predicts cavern geometry and size across regimes and apparent Reynolds numbers. Incorporating impeller perturbation effects, we further introduce a six‐petal rose model that captures the periodicity of the phase‐averaged flow field, achieving unprecedented accuracy in reproducing cavern morphology. Together, these models provide physical insights and practical tools for optimizing pseudoplastic fluid mixing.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2025-12-17
DOI
https://doi.org/10.1002/aic.70189
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Direct numerical simulations and modeling of pseudoplastic fluid mixing driven by a perturbed six‐bent‐blade turbine

Songying Chen, Longhao Xiang, Cheng Peng, Juanjuan Qiao et al.
AIChE Journal
Lattice Boltzmann Simulation Studies
article

Direct numerical simulations and modeling of pseudoplastic fluid mixing driven by a perturbed six‐bent‐blade turbine

Songying Chen, Longhao Xiang, Cheng Peng, Juanjuan Qiao, Tian Liu
article en

Abstract

ABSTRACT The cavern effect strongly impacts mixing efficiency in pseudoplastic fluids stirred in tanks. Perturbed six‐bent‐blade turbine impellers suppress cavern formation effectively, yet existing models cannot predict cavern size and morphology consistently. To overcome this, we develop a high‐fidelity framework coupling the lattice Boltzmann method with the immersed boundary method, enabling direct numerical simulations of pseudoplastic fluid mixing driven by a rotating perturbed six‐bent‐blade turbine. By varying mass concentration and rotational speed, we identify three distinct flow regimes. Based on these results, we propose an elongated heart‐shaped cavern model that predicts cavern geometry and size across regimes and apparent Reynolds numbers. Incorporating impeller perturbation effects, we further introduce a six‐petal rose model that captures the periodicity of the phase‐averaged flow field, achieving unprecedented accuracy in reproducing cavern morphology. Together, these models provide physical insights and practical tools for optimizing pseudoplastic fluid mixing.

AIChE JournalVol. 72(4)
Ministry of Education (PT)
Openalex Percentile: Top 59%
Lattice Boltzmann Simulation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.