Optimization of a Lobed Mixer with BP Neural Network and Genetic Algorithm

A Sequential Approximate Optimization framework (SAO) for the multi-objective optimization of lobed mixer is established by using the BP neural network and Genetic Algorithm: the ratio of lobe wavelength to height ( η ) and the rise angle ( α ) are selected as the design parameters, and the mixing e...

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Veröffentlicht in:	Journal of thermal science 2023, Vol.32 (1), p.387-400
Hauptverfasser:	Song, Yukuan, Lei, Zhijun, Lu, Xin-Gen, Xu, Gang, Zhu, Junqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Back propagation networks Classical and Continuum Physics Design parameters Efficiency Engineering Fluid Dynamics Engineering Thermodynamics Flow simulation Genetic algorithms Global optimization Heat and Mass Transfer Multiple objective analysis Neural networks Optimization Physics Physics and Astronomy Pressure loss Turbulence models Unstructured grids (mathematics) Vorticity
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