Jet mixing optimization using a bio-inspired evolution of hardware and control

Jet mixing is a critical factor in various engineering applications, influencing pollutant dispersion, chemical processes, medical treatments, and combustion enhancement. Hitherto, jet mixing has typically been optimized by either passive or active control techniques. In this experimental study, we...

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Published inScientific reports Vol. 14; no. 1; p. 25952
Main Authors Shaqarin, Tamir, Jiang, Zhutao, Wang, Tianyu, Hou, Chang, Cornejo Maceda, Guy Y., Deng, Nan, Gao, Nan, Noack, Bernd R.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 29.10.2024
Nature Publishing Group
Subjects
639/166
639/705
639/766
Artificial intelligence
Humanities and Social Sciences
Medical treatment
multidisciplinary
Optimization
Pollution dispersion
Science
Science (multidisciplinary)
Flow control
Smart nozzle
Bio-inspired optimization
Jet mixing
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Summary:Jet mixing is a critical factor in various engineering applications, influencing pollutant dispersion, chemical processes, medical treatments, and combustion enhancement. Hitherto, jet mixing has typically been optimized by either passive or active control techniques. In this experimental study, we combine simultaneous optimization of active control with 12 inward-pointing minijets and a tuneable nozzle exit shape commanded by 12 stepper motors. Jet mixing is monitored at the end of the potential core with an array of 7 7 Pitot tubes. This high-dimensional actuation space is conquered with Particle Swarm Optimization through Targeted, Position-Mutated Elitism. Our results underscore the significant impact of combining control techniques, illustrating the complex interactions of both passive and active control on jet flow dynamics. The mixing area of the combined control optimization is 4.5 times larger than the area of the unforced state. This mixing increase significantly outperforms the effect of shape optimization of the nozzle alone. Our study points at the potential of optimization in high-dimensional design spaces for shapes as well as passive and active control—leveraging the rapid development of flow control hardware and the increasingly powerful tools of artificial intelligence for optimization.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-75688-4