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基于优化算法的轴流风机数值模拟及实验研究 被引量:1

Numerical simulation and experimental research of axial-flow fan based on optimization algorithm
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摘要 轴流风机由于流量大、噪声低、运行稳定而广泛应用于很多场合的通风散热。将某型低压轴流风机作为研究目标,基于CFD预测全流道三维轴流风机在全流量条件下的气动性能,对风机进行全局优化:以风机几何参数为优化变量,静压和效率为目标函数,提高静压和效率的同时降低噪声,扩宽高效工作区范围,改善流体流动稳定性,计算结果表明采取的数值优化方法的可行性;并对优化后的风机进行风洞实验,将数值计算结果和实验数据进行对比,从而判断数值计算的可靠性与准确性。 Axial-flow fans are widely used for ventilation and heat dissipation in many occasions due to their large flow, low noise and stable operation.This paper takes a certain type of low-pressure axial-flow fan as the research target, predicts the aerodynamic performance of the full-channel three-dimensional axial-flow fan under full flow conditions based on CFD,and optimizes the fan globally.The geometric parameters of the fan are used as the optimization variables, and the static pressure and efficiency are used as the objective functions to improve the static pressure and efficiency while reducing noise, to widen the range of high-efficiency working area, and to improve the fluid flow stability.The calculation results have proved that the numerical optimization method is feasible.Wind tunnel experiment is carried out on the optimized fan, and the numerical calculation results are compared with the experimental data to judge the reliability and accuracy of the numerical calculation.
作者 高宇 GAO Yu
出处 《现代机械》 2022年第3期33-38,共6页 Modern Machinery
关键词 轴流风机 风洞实验 数值优化 axial-flow fan wind tunnel experiment numerical optimization
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