High-Fidelity atomization simulation of kerosene swirl injector using Multi-Resolution framework

Swirl injectors play a pivotal role in the combustion components of liquid rocket engines, underscoring the paramount importance of accurate atomization modeling. In this study, we use a coupled Eulerian-Lagrangian approach to conduct high-precision simulations of fully developed atomization. These simulations are rigorously compared with experimental atomization patterns observed under cold conditions and during ignition phases. The results exhibit a remarkable consistency in atomization patterns and the spatiotemporal evolution of droplet morphology. The simulations yield high-resolution three-dimensional atomization images, capturing intricate perturbation wave structures whose evolution periods closely align with experimental findings. The resultant vortex structure field vividly depicts the evolution of these perturbation waves from the injector's interior to its exterior. The periodic intervals of unstable waves are governed by the impact of the upward gas swirl on the edge line of the injector's straight section. Furthermore, the simulated flow field structure validates the theoretical flow field diagram derived from experimental data reported in the literature. The simulation methodology successfully provides statistically reliable droplet size information. As operating conditions intensify, the droplet size-velocity distribution transitions from an L-shaped pattern to a triangular clump-like configuration. This transition underscores the method's capability to precisely simulate both primary and secondary atomization, along with the intricate evolution and distribution patterns of the atomization field across a diverse range of conditions, with both high speed and precision. Our findings demonstrate that the Eulerian-Lagrangian approach offers a robust framework for understanding and forecasting the complex atomization in liquid rocket engines, advancing atomization tech in aerospace.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0258236
Citations
9
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
12.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Fidelity atomization simulation of kerosene swirl injector using Multi-Resolution framework

Peijin Liu, Yuanzhe Liu, Meng Zhang, Fangmian Dong et al.
9 citations
Physics of Fluids
Fluid Dynamics and Heat Transfer
12.01
article

High-Fidelity atomization simulation of kerosene swirl injector using Multi-Resolution framework

Peijin Liu, Yuanzhe Liu, Meng Zhang, Fangmian Dong, Shuai Zhou, Xiang Lv, Hongjun Liu
article en
9 citations

Abstract

Swirl injectors play a pivotal role in the combustion components of liquid rocket engines, underscoring the paramount importance of accurate atomization modeling. In this study, we use a coupled Eulerian-Lagrangian approach to conduct high-precision simulations of fully developed atomization. These simulations are rigorously compared with experimental atomization patterns observed under cold conditions and during ignition phases. The results exhibit a remarkable consistency in atomization patterns and the spatiotemporal evolution of droplet morphology. The simulations yield high-resolution three-dimensional atomization images, capturing intricate perturbation wave structures whose evolution periods closely align with experimental findings. The resultant vortex structure field vividly depicts the evolution of these perturbation waves from the injector's interior to its exterior. The periodic intervals of unstable waves are governed by the impact of the upward gas swirl on the edge line of the injector's straight section. Furthermore, the simulated flow field structure validates the theoretical flow field diagram derived from experimental data reported in the literature. The simulation methodology successfully provides statistically reliable droplet size information. As operating conditions intensify, the droplet size-velocity distribution transitions from an L-shaped pattern to a triangular clump-like configuration. This transition underscores the method's capability to precisely simulate both primary and secondary atomization, along with the intricate evolution and distribution patterns of the atomization field across a diverse range of conditions, with both high speed and precision. Our findings demonstrate that the Eulerian-Lagrangian approach offers a robust framework for understanding and forecasting the complex atomization in liquid rocket engines, advancing atomization tech in aerospace.

Physics of FluidsVol. 37(3)
Northwestern Polytechnical University (CN), Tsinghua University (CN)
Openalex Percentile: Top 1%
Fluid Dynamics and Heat Transfer
12.01
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.