# Flow regime transitions in flow blurring injection through a CFD parametric study

**Authors:** S. Amirreza S. Madani, Erfan Vaezi, Mohammad Reza Morad, Amir Keshmiri

PMC · DOI: 10.1038/s41598-025-13047-7 · Scientific Reports · 2025-08-01

## TL;DR

This paper uses computational modeling to study how flow blurring injectors behave under different conditions, identifying key factors that influence their performance.

## Contribution

The study introduces a parametric CFD analysis of flow blurring injectors, revealing three flow regimes and key influencing factors.

## Key findings

- Three distinct flow regimes were identified: air-dominant, liquid-dominant, and bubbly flow.
- Liquid mass flow rate and dynamic viscosity are the most influential factors for penetration length.
- Combined liquid and air mass flow rates show a positive two-way interaction effect.

## Abstract

Flow-blurring (FB) is a twin-fluid atomization technique that generates fine sprays through internal turbulent mixing. This study presents a parametric computational investigation of an FB injector operating with air and various liquids at ambient pressure. A validated unsteady two-phase solver based on the Volume of Fluid (VOF) method is used to model the injector at different air-to-liquid mass flow rate ratios (ALRs). Parameters such as penetration length, volume fraction, static pressure, vorticity magnitude, and turbulent kinetic energy are analyzed to understand flow dynamics. The results identify three distinct flow regimes: air-dominant, liquid-dominant, and bubbly flow. Screening analysis of a full factorial design of 32 cases shows that liquid mass flow rate and dynamic viscosity are the most influential factors in penetration length. The resulting penetration length varies between 2 [mm] and 8.5 [mm] across the design space. A correlation analysis confirms these findings and reveals important two-way interactions between parameters, such as the positive effect of combined liquid and air mass flow rates. This insight offers a promising pathway for optimizing flow-blurring injectors in various applications.

## Full-text entities

- **Diseases:** ALR (MESH:C536030), CFD (MESH:C000719218)
- **Chemicals:** ALR (-), ethanol (MESH:D000431), water (MESH:D014867)

## Full text

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## Figures

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## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12316936/full.md

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Source: https://tomesphere.com/paper/PMC12316936