通过MEMS麦克风的大规模通道扩展增强气动声学风洞研究
Enhancing Aeroacoustic Wind Tunnel Studies through Massive Channel Upscaling with MEMS Microphones
AI总结：
本文提出一种由7200个MEMS麦克风组成的模块化大型阵列，通过优化子阵列波束形成在风洞中研究声源指向性，并在DNW-NWB风洞的1:9.5机身半模上验证了其性能。
摘要：
本文介绍了一个大型的6米×3米孔径、由7200个MEMS麦克风组成的阵列。该阵列的设计使得具有优化点扩散函数的子阵列可用于波束形成，从而能够在风洞设施中研究声源指向性。整个阵列由模块化的800个麦克风面板组成，每个面板包含四种独特的PCB板设计。这种模块化架构允许对任意数量的面板进行时间同步测量，从而灵活调整孔径尺寸和传感器总数。面板可以无间隙安装，使得阵列的麦克风布局能够避免点扩散函数中出现高旁瓣。该阵列的性能在DNW-NWB开放式风洞中的一个1:9.5机身半模上进行了评估。通过波束形成量化了总声源发射量并评估了指向性。此外，还采用了额外的远场麦克风来验证结果。
英文摘要：
This paper presents a large 6~m x 3~m aperture 7200 MEMS microphone array. The array is designed so that sub-arrays with optimized point spread functions can be used for beamforming and thus, enable the research of source directivity in wind tunnel facilities. The total array consists of modular 800 microphone panels, each consisting of four unique PCB board designs. This modular architecture allows for the time-synchronized measurement of an arbitrary number of panels and thus, aperture size and total number of sensors. The panels can be installed without a gap so that the array's microphone pattern avoids high sidelobes in the point spread function. The array's capabilities are evaluated on a 1:9.5 airframe half model in an open wind tunnel at DNW-NWB. The total source emission is quantified and the directivity is evaluated with beamforming. Additional far-field microphones are employed to validate the results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
