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Convergent–divergent (C–D) nozzles play a critical role in high-speed propulsion systems such as rocket engines, gas turbines, and supersonic aircraft. These nozzles are designed to accelerate fluid flow from subsonic to supersonic velocities by utilizing pressure and temperature gradients within the nozzle geometry. However, high-speed jet flows emerging from these nozzles generate significant acoustic noise due to turbulent mixing, shock waves, and pressure fluctuations.
The present research focuses on the aerodynamic and acoustic analysis of a convergent–divergent nozzle using computational fluid dynamics (CFD) techniques. The geometry of the nozzle was designed using CATIA V5, and numerical simulations were carried out in ANSYS Fluent to evaluate flow characteristics such as velocity distribution, pressure variation, and temperature changes along the nozzle length. Special emphasis is placed on analyzing the effectiveness of chevron structures integrated at the nozzle exit to reduce acoustic emissions.
The CFD analysis investigates compressible flow behavior under different pressure conditions and identifies the optimal working pressure that minimizes acoustic power generation. The results show that the addition of chevrons significantly improves mixing between the jet and ambient air, thereby reducing shock-associated noise and turbulent fluctuations.
The findings of this study contribute to the development of improved nozzle designs capable of achieving both enhanced propulsion efficiency and reduced environmental noise pollution.
Keywords:
Convergent and Divergent Nozzle, Chevrons, CFD, Ansys, Catia v5.
Cite Article:
"Noise Suppression of a C-D Nozzle by Using Chevrons", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b256-b262, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603131.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