文章摘要
某皮卡后视镜降噪分析与优化
Noise Reduction Research and Optimization of a Pickup Truck Exterior Rearview mirror
投稿时间:2025-03-30  修订日期:2025-06-06
中文摘要:
      本文以某皮卡为研究对象建立了整车流体动力学(CFD)模型,分析得到车窗表面脉动压力并与风洞实验测试数据进行对比,采用均方根误差(RMSE)和皮尔逊相关系数(R)等多维度模型验证方法,确认了仿真模型的准确性。继而采用本征正交分解(POD)技术解析后视镜中线截面流场,发现原始方案后视镜与侧窗玻璃之间的气流走向存在严重的气流分离,并冲击侧窗玻璃,对车内噪声非常不利,基于此提出优化方案,显著抑制后视镜尾涡湍流动能与侧窗玻璃偶极子声源强度。试验结果表明: 优化方案对声压级和语音清晰度有很好的改善效果,车内声压级降低2.3 dB(A),语音清晰度提高3%。本文研究内容为汽车后视镜引起的风激励引起的车内噪声预测与控制提供了行之有效的控制和优化方法,具有重要的工程应用意义。
英文摘要:
      To study the influence of aerodynamic noise generated by exterior rearview mirrors, established a vehicle computational fluid dynamics (CFD) model of a pickup truck, extract the pressure on the window surface and compared with the test data in the wind tunnel, the results showed good consistency, proving the effectiveness of the CFD model. Turbulent pressure and acoustic pressure excitation on the surface of the side window and front windshield was loaded as an excitation on the acoustic model to calculate the interior noise. The simulation results were consistent with the experimental data. Through simulation analysis results, it was found that the original mirror handle shape had severe airflow separation, accompanied by severe swirling vortices, which were very detrimental to the noise inside the vehicle. Optimization schemes were proposed to significantly suppress the vortex shedding intensity in the wake region and the dipole sound source energy. The experimental results show that the sound pressure level inside the vehicle is reduced by 2.7 dBA , and the AI is improved by 3.2%. The research provides effective control and optimization methods for predicting and controlling wind noise caused by rearview mirrors, which has important engineering application significance.
DOI:
中文关键词: 后视镜  气动噪声  风洞实验  仿真  
英文关键词: Rearview mirror  Aerodynamic noise  Wind tunnel experiment  Simulation  
基金项目:国家重点研发计划项目
作者单位邮编
邓磊* 江铃汽车股份有限公司 330052
金栋 江铃汽车股份有限公司 330052
钟秤平 江铃汽车股份有限公司 
黄晖 江铃汽车股份有限公司 330052
余显忠 江铃汽车股份有限公司 330052
黄超勇 江铃汽车股份有限公司 330052
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