噪声与振动控制2024,Vol.44Issue(2):44-49,6.DOI:10.3969/j.issn.1006-1355.2024.02.008
基于仿生学的MC9风扇改进与信噪比分析
Improvement and Signal-to-noise Ratio Analysis of the MC9 Fan Based on Bionics
摘要
Abstract
To suppress the noise of the cooling fan for a domestic hydraulic excavator,a 3D model of the fan was printed based on the principle of similarity,and its aerodynamic behavior and noise were tested in a wind tunnel complied with State Standard GB/T1236-2017 and SB002-1987.Then,based on the principle of Bionics,the noise reduction structure involving slot width,stripe spacing and stripe width was proposed,and the corresponding 9 orthogonal test schemes were determined.Then,after the screening of energy saving,the aerodynamics performance,noise,and acoustic image of the schemes were compared with the original scheme to select the feasible schemes.Finally,the contribution rates of the structural parameters were harvested from Signal-to-noise ratio(SNR)analyses.It is found that improved scheme 9 can lower the shaft power by 2%,but increase the flow rate and static pressure peaks approximately by 5.8%.Meanwhile,improved scheme 3 has relatively better noise reduction effect and the noises at the monitoring points are reduced by 2.4,2.1,3.3 and 2.8 dB respectively.The contribution rates of slot width,stripe spacing,and stripe width are 40.45%,33.61%,and 25.94%,respectively.关键词
声学/3D风扇/仿生学/正交试验/信噪比分析Key words
acoustics/3D fan/bionics/orthogonal test/signal-to-noise ratio analysis分类
交通工程引用本文复制引用
刘佳鑫,卢宇晴,胖默涵,宋锦川..基于仿生学的MC9风扇改进与信噪比分析[J].噪声与振动控制,2024,44(2):44-49,6.基金项目
国家自然科学基金资助项目(52175063) (52175063)
唐山市科学技术研究与发展计划资助项目(19130204g,19130218g) (19130204g,19130218g)
省属高校基本科研业务费资助项目(JQN2022003) (JQN2022003)