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An auralization model for structure borne tyre noise based on operational data

机译:基于运营数据的结构载轮胎噪声的Auralization模型

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Reducing development time and costs is a never ending challenge in the automotive industry. Development times are decreased by using CAE-tools for early predictions of product performances and qualities and by moving field testing to indoor lab-environments. In the automotive industry, an NVH issue such as road noise is an important factor for the perceived product quality. A useful method to address NVH problems and to reduce field testing is to combine recordings and simulations into auralizations. The objective of this study was to compare auralization of structure borne tyre noise based on operational data against artificial head recordings made under the same conditions. Results from a listening test showed that clear audible differences existed in the auralizations compared to the artificial head recordings. These audible differences were caused by low coherence in the measured binaural transfer functions below 150 Hz and in the frequency range 1000-1600 Hz.
机译:减少开发时间和成本是汽车行业永无止境的挑战。通过使用CAE-Tools来降低开发时间,以利用产品性能和素质的早期预测,并通过将现场测试移动到室内实验室环境。在汽车工业中,道路噪音等NVH问题是令人知觉的产品质量的重要因素。解决NVH问题和降低现场测试的有用方法是将录制和模拟结合到Auratizations中。本研究的目的是基于在相同条件下对人工头录制的操作数据进行比较结构载轮胎噪声的结构。听力测试的结果表明,与人工头记录相比,Auratization中存在明显的可听差异。这些可听差异是由测量的双耳传递官能量低于150Hz的低相干性,频率范围为1000-1600Hz。

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