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Passenger Vehicle Saloon Noise Prediction Using Acoustic Transfer Function Measurement Based Model

机译:基于声学传递函数测量的乘用车轿车噪声预测

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New legislation’s, competition from global players and change in customer perception related to comfort parameters are key factors demanding manufactures to design and manufacture vehicles with very low saloon noise levels. The main causes for higher noise levels at passenger saloon compartment can be attributed to source noises (Powertrain, Driveline, Intake and Exhaust etc.), acoustic isolation and structural sensitivity of the body. Out of all above parameters, powertrain noise and acoustic isolation are two critical parameters effecting interior noise performance. This paper is an attempt to explain acoustic source contribution analysis through transfer function measurement in a passenger vehicle. Acoustic transfer function between engine bay and passenger ear level was measured using reciprocity technique (reciprocal method) with reference source placed at various locations inside the vehicle. A mathematical model is developed to predict saloon noise level using transfer function and powertrain near source noise level data at operating condition. In this paper passenger saloon noise level prediction is done based on transfer function based model and compared with measured noise level measured at same receiver location using microphone. A good level of co-relation is achieved between predictions and measurement. This model will be useful to estimate interior saloon noise levels (contribution of powertrain alone) at development stage which could save time and cost. In future similar modeling method could be deployed for other acoustic source for more accurate prediction and contribution analysis.
机译:新立法,全球参与者的竞争和与舒适参数相关的客户感知的变化是要求制造设计和制造具有非常低的沙龙噪声水平的车辆的关键因素。乘客轿车室噪声水平较高噪声水平的主要原因可归因于源噪声(动力系,传动系,进气和排气等),声学隔离和体的结构敏感性。除了以上的所有参数之外,动力总成噪声和声学隔离是两个关键参数,实现内部噪声性能。本文是一种试图通过乘用车中的传递函数测量来解释声学源贡献分析。使用互易技术(倒数方法)测量发动机托架和乘客耳级之间的声学​​传递函数,其中参考源放置在车辆内的各个位置。开发了一种数学模型,用于使用传递函数和动力总成在运行条件下预测沙龙噪声水平。在本文中,基于基于传递函数的模型进行了乘客轿厢噪声水平预测,并与使用麦克风在相同接收器位置测量的测量噪声水平进行比较。在预测和测量之间实现了良好的共同级别。该模型可用于估计内部轿车噪声水平(仅单独提供动力系的贡献),该阶段可以节省时间和成本。在未来的类似建模方法可以部署用于其他声学来源以进行更准确的预测和贡献分析。

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