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Injectors govern the fundamental processes of
atomization and mixing in liquid rocket engines, directly
influencing combustion efficiency, flow stability, and
overall engine performance. This study presents a
comprehensive comparative analysis of pintle and porous
injectors using computational fluid dynamics (CFD)
simulations under identical operating conditions. The
investigation focuses on key performance parameters,
including velocity distribution, pressure drop characteristics,
atomization behavior, and flow uniformity.
The results reveal that porous injectors promote highly
uniform flow distribution and fine-scale atomization due to
the distributed injection through multiple micro-pores,
resulting in enhanced mixing efficiency. However, this
mechanism introduces a significant pressure drop across the
porous medium, which influences flow regulation and
system stability. In contrast, pintle injectors exhibit strong
macroscopic mixing through impingement and recirculation,
while maintaining a relatively constant pressure drop,
making them highly suitable for deep throttling applications.
Further analysis highlights the dependence of combustion
efficiency on droplet size and operating conditions,
demonstrating that both injector types exhibit distinct
instability mechanisms under extreme regimes. Pintle
injectors are susceptible to atomization-driven instabilities at
low momentum conditions, whereas porous injectors show
sensitivity to low pressure drop and high momentum flux
conditions.
Overall, the study provides a unified physical interpretation
of the performance trade-offs between pintle and porous
injectors, offering valuable insights for injector selection and
the design of advanced liquid propulsion systems.
"COMPARISON OF PINTLE AND POROUS INJECTOR FOR LIQUID ROCKET ENGINE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b503-b511, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604205.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator