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Wet Beveling of Microinjection Needles Utilizing Constant Air Pressure for Feedback on Needle Opening
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Published on: September 27, 2024

Genetic algorithm-informed microjet control for noise reduction in supersonic impinging jetsa).

MyungJun Song1, Serdar Seçkin1, Farrukh S Alvi1

  • 1Florida Center for Advanced Aero-Propulsion, Department of Mechanical and Aerospace Engineering, Florida Agricultural and Mechanical University and Florida State University (FAMU-FSU) College of Engineering, Tallahassee, Florida 32310, USA.

The Journal of the Acoustical Society of America
|July 15, 2026
PubMed
Summary

Microjets control supersonic jet noise by optimizing configurations for vertical takeoff aircraft. This method significantly reduces overall sound pressure level (OASPL) while lowering mass flow rate.

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Area of Science:

  • Acoustics
  • Fluid Dynamics
  • Aerospace Engineering

Background:

  • Impinging jets are crucial for vertical takeoff/landing (VTOL) aircraft lift.
  • Jet resonance in impinging jets causes significant unsteady flow and noise.
  • Supersonic nozzles generate high levels of acoustic energy.

Purpose of the Study:

  • To mitigate noise from impinging jets using a microjet-based control method.
  • To attenuate jet resonance in a Mach 1.5 supersonic nozzle.
  • To optimize microjet configurations for noise reduction.

Main Methods:

  • Implementation of two microjet arrays (nozzle exit and diverging section).
  • Utilizing 16 individually controllable microjets per array in aligned or staggered configurations.
  • Applying a genetic algorithm (GA) to optimize microjet parameters for minimizing overall sound pressure level (OASPL).

Main Results:

  • GA-optimized aligned configuration achieved a 10 dB OASPL reduction.
  • This represents a 2 dB improvement over maximum pressure activation, with a 26% reduction in mass flow rate.
  • The staggered configuration, with simultaneous microjet firing, showed effective noise reduction across various conditions.

Conclusions:

  • Microjet control is an effective strategy for supersonic jet noise attenuation.
  • GA optimization successfully identified configurations for significant noise reduction and improved efficiency.
  • The developed method offers a promising approach for quieter VTOL aircraft operations.