Powered by OpenAIRE graph
Found an issue? Give us feedback
Physics of Fluidsarrow_drop_down
Physics of Fluids
Article . 2025 . Peer-reviewed
Data sources: Crossref
addClaim

Mathematical model to predict child droplets sizes during the micro-explosive breakup of a two-component droplet

Authors: Roman M. Fedorenko; Dmitrii V. Antonov; Alexander S. Lobasov; Andey V. Minakov; Pavel A. Strizhak;

Mathematical model to predict child droplets sizes during the micro-explosive breakup of a two-component droplet

Abstract

Micro-explosive breakup of heterogeneous liquid droplets can enhance controlled secondary atomization in specific areas of reactors, combustion chambers, heat exchangers, and mixers. To apply this mechanism in various practical applications, it is necessary to identify conditions when child droplets have predictable sizes. Available models of micro-explosive breakup can describe the processes in a heterogeneous droplet until its destruction with high accuracy and considerable detail. This study presents a mathematical model to predict the number and sizes of child droplets in the micro-explosive breakup of two-component droplets. A comparison of mathematical modeling results with experimental data indicated that they are in good agreement (with no more than a 10% deviation). The initial problem statement was refined with respect to geometry, the number of variables considered, effects, and processes. Given the required computational resources, a parametric analysis was conducted to investigate the impact of a selected set of variables on the characteristics of the child droplets. Due to practical limitations, it would be challenging to assess these features through experimental means. These factors include the shift of the water core relative to the center, nonsphericity of droplets, droplet sizes up to dozens of micrometers, etc. These factors are particularly relevant to liquid and composite fuel spraying equipment in engines and propulsion systems.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!