Aerodynamics Optimization of Multi-Blade Centrifugal Fan Based on Extreme Learning Machine Surrogate Model and Particle Swarm Optimization Algorithm
نویسندگان
چکیده
The centrifugal fan is widely used in converting mechanical energy to aerodynamic energy. To improve the pressure of multi-blade an air purifier, optimization process was proposed based on extreme learning machine (ELM) combined with particle swarm (PSO). blade definition position parameter and radian were designed using full-factor simulation experimental method. steady numerical each point carried out ANSYS CFX software. total selected as response. optimized ELM PSO algorithm considering response value two parameters built. optimize approximation profile obtain optimum fan. improved from 140.6 Pa 151 through experiment design surrogate optimization. method article meant for improving pressure. coupling impellers, volutes, intakes should be comprehensively considered further performance fans.
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ژورنال
عنوان ژورنال: Metals
سال: 2023
ISSN: ['2075-4701']
DOI: https://doi.org/10.3390/met13071222