Development of a High-Resolution Measurement System of Rotating Tires towards Noise Prediction

Invited paper

Kuya Takami

Virginia Tech

Wednesday 3 june, 2015, 09:20 - 09:40

0.2 Berlin (90)

This paper presents a high-resolution measurement system of rotating tires towards noise prediction. The developed system, to be mounted on a tire testing machine, consists of digital cameras, strobes, a field-programmable gate array (FPGA) board and a high-resolution encoder. The developed system captures a clear instant image of a rotating tire irrespective of the rotation speed by triggering strobes with a significantly short duration. The use of the high-resolution encoder together with the FPGA allows the system to take an image in the order of 0.0001<sup>&_circe;</sup> resolution. Since the rotation of a tire on a testing machine is periodic, the system can effectively capture the deformation of a rotating tire at a high sampling frequency though the digital cameras used may not have a high frame rate. The digital cameras proposed in the system are commercially available digital single-lens reflex (DSLR) cameras, which are CMOS-based and thus have high resolution, equipped with macro lenses, which further improve resolution by zooming into the tire deformation. This low-cost system is, therefore, considerably superior to high-speed cameras in both frame rate and resolution and could measure tire deformation associated with sound generation by synchronously measuring sound with a microphone array. The validity of the developed system was preliminarily investigated by rotating a tire at the speed of 120 km/h and capturing images at every 0.025<sup>&_circe;</sup> rotation. The result has validated the system by capturing tire deformation in clear high-resolution images. The sound measurement by the microphone array has then shows its variation in response to the different tire deformation.

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