Suzuki Wind Tunnel used for full-vehicle noise source identification case study

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The Suzuki name can be seen on a full range of motorcycles, automobiles, outboard motors, and related products and is recognised throughout the world for quality products offering both reliability and originality. And Suzuki is always creating advanced ‘value-packed products’ for their customers. So, in 2006, as one of their investments, Suzuki’s R&D division built a new “full-scale aero-acoustic wind tunnel” for the study of aerodynamics and reduction of wind noise for their motorcycles and automobiles.

To locate the sources of wind noise on cars, Suzuki needed a noise source identification measurement system that could operate in a wind tunnel where the wind speeds would reach 190 km/h. The system also had to be fast, enhancing productivity, measure the top and side of the vehicle simultaneously, and work at low and high frequencies. So when Brüel&Kjær was approached to make a proposal that would meet Suzuki’s requirements for noise source identification, they came up with a solution that combined two measurement methods – Spatial Transformation of Sound Fields (STSF) and Beamforming.

Acoustic Holography – STSF
STSF is a way of measuring a sound field and then predicting how it radiates into space. It uses cross-spectra made between the individual measurement points and one or more reference microphones to produce a sound field map of the noise in the measurement plane coherent to the reference microphones. This measured data is then transformed using near-field acoustic holography algorithms to provide a 3D model of the sound field. This enables a detailed investigation to be made in planes closer to, or further from, the test object than the original measurement plane. Suzuki uses the STSF method for calculating the sound field close to a surface and for frequencies up to 1000 Hz.

Acoustic Imaging – Beamforming Beamforming is a method of mapping noise sources by differentiating sound levels based upon the direction from which they originate. It can be used for noise mapping from a distance and is particularly suitable for mapping large.

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