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Mobility measurement in six DOFs applied to the hub of a car

机译:应用于汽车轮毂的六个自由度中的移动性测量

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Complex models are usually needed to predict functional performance of mechanical devices such as noise and vibration levels. A typical model is divided into substructures where each substructure is described either as a simulation or as an experimental model. When coupling substructures, information is needed that describes the boundary conditions at the attachment points of the various substructures. This can be hard to achieve, especially when full structural behavior including rotational degrees of freedom (DOFs) are needed. The objective of this study was to obtain the mechanical mobility matrix in six DOFs for a wheel hub of car, as an example of a complex mechanical structure, through an experimental approach based on the multiple-input multiple-output technique. Further, evaluation of the measurement quality was conducted without requirements for numerical simulation comparisons. A specially designed brake disc was fabricated for direct attachment of shakers and transducers. The quality of the 6-DOF mechanical mobility matrix was evaluated using reciprocities, coherence functions, and random error in the gain-factor estimates. The results showed good quality in the reciprocities, and the multiple coherences in each degree of freedom were close to one in the frequency range of 25-500 Hz. The random error can be reduced by increasing the number of averages.
机译:通常需要复杂的模型来预测机械设备的功能性能,例如噪声和振动水平。典型模型分为子结构,其中每个子结构都描述为模拟或实验模型。在耦合子结构时,需要描述各个子结构的连接点处的边界条件的信息。这可能很难实现,尤其是当需要包括旋转自由度(DOF)在内的完整结构行为时。这项研究的目的是通过基于多输入多输出技术的实验方法,获得汽车轮毂的六个自由度中的机械运动矩阵,作为复杂机械结构的示例。此外,无需进行数值模拟比较就可以进行测量质量的评估。制造了专门设计的制动盘,用于直接连接振动器和传感器。使用互惠,相干函数和增益因子估计中的随机误差评估了6自由度机械迁移率矩阵的质量。结果显示互惠性良好,并且在25-500 Hz的频率范围内,每个自由度的多重相干性接近一个。可以通过增加平均数来减少随机误差。

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