Flow Noise Predictions for Automotive Air Rush Noise

James E. Howell, N. Humbad, J. Hargrove, Robert A. Porada
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Abstract

Noise from automotive air handling systems is an important issue for driver comfort. This study was undertaken to quantify the noise from the air handling system and to develop a predictive model for the noise level and spectrum at the drivers right ear location. Tests were conducted on six vehicles to develop the predictive model and then four more vehicles were tested and used to verify the prediction model. All vehicles tested were production level designs ranging from small economy cars to large luxury trucks. The study shows that the noise generated by the air handling system can be modeled with the parameters of static pressure across the blower (ΔP) and system air flow rate (Q). When the measured noise levels were compared to the predicted noise levels, there was a mean error of −0.03 dBA with a standard deviation of 1.31 dBA for all vehicles and for various modes of operation. This model can be used in the early stages of design using CFD/CAE analysis, or in evaluating the effects of design changes on the sound pressure level and spectrum.
汽车气流脉动噪声的流动噪声预测
汽车空气处理系统的噪声是影响驾驶员舒适度的一个重要问题。本研究旨在量化空气处理系统的噪音,并建立驾驶员右耳位置的噪音水平和频谱预测模型。在6辆车上进行了试验以建立预测模型,然后在另外4辆车上进行了试验并用于验证预测模型。从小型经济型轿车到大型豪华卡车,所有测试车辆都是生产水平设计。研究表明,空气处理系统产生的噪声可以用鼓风机静压(ΔP)和系统空气流量(Q)参数来建模。当实测噪声水平与预测噪声水平进行比较时,所有车辆和各种操作模式的平均误差为- 0.03 dBA,标准差为1.31 dBA。该模型可用于CFD/CAE分析的早期设计阶段,或用于评估设计变化对声压级和频谱的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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