A. Wurzinger, Florian Kraxberger, Paul Maurerlehner, Bernhard Mayr-Mittermüller, P. Rucz, Harald Sima, M. Kaltenbacher, S. Schoder
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引用次数: 0
摘要
声发射对许多产品类别的可用性起着重要作用。因此,要提高产品的可用性和客户满意度,最重要的是直接在声源处减少声发射。为了可靠地预测声发射,我们采用了边界元法(BEM)等数值方法,这些方法可以预测声发射进入自由场等情况。BEM 算法需要适当的边界条件才能将声场与振动体的结构运动耦合起来。本文首先介绍了一种插值方案,可将任意速度数据适当插值到 BEM 的计算网格中。其次,利用开源 BEM 软件框架 NiHu 解决了自由场亥姆霍兹问题。相关设备与 BEM 之间的前向耦合基于表面法向速度(即 Neumann 边界条件)。BEM 仿真结果通过之前建立的航空声学基准问题进行了验证。此外,还介绍了医疗设备(膝关节假体框架)的应用。此外,还对辐射声功率进行了评估,并与其他低成本近似方法进行了比较。在验证示例中,测量结果与 BEM 结果的一致性非常好,三个传声器位置的平均有效压力水平误差为 0.63 dB。将工作流程应用于膝关节假体框架,模拟能够预测四个传声器位置的声辐射,平均有效压力水平误差为 1.52 dB。
Experimental Prediction Method of Free-Field Sound Emissions Using the Boundary Element Method and Laser Scanning Vibrometry
Acoustic emissions play a major role in the usability of many product categories. Therefore, mitigating the emitted sound directly at the source is paramount to improve usability and customer satisfaction. To reliably predict acoustic emissions, numerical methods such as the boundary element method (BEM) are employed, which allow for predicting, e.g., the acoustic emission into the free field. BEM algorithms need appropriate boundary conditions to couple the sound field with the structural motion of the vibrating body. In this contribution, firstly, an interpolation scheme is presented, which allows for appropriate interpolation of arbitrary velocity data to the computational grid of the BEM. Secondly, the free-field Helmholtz problem is solved with the open-source BEM software framework NiHu. The forward coupling between the device of interest and BEM is based on the surface normal velocities (i.e., a Neumann boundary condition). The BEM simulation results are validated using a previously established aeroacoustic benchmark problem. Furthermore, an application to a medical device (knee prosthesis frame) is presented. Furthermore, the radiated sound power is evaluated and contextualized with other low-cost approximations. Regarding the validation example, very good agreements are achieved between the measurements and BEM results, with a mean effective pressure level error of 0.63 dB averaged across three microphone positions. Applying the workflow to a knee prosthesis frame, the simulation is capable of predicting the acoustic radiation to four microphone positions with a mean effective pressure level error of 1.52 dB.