Abstract

Today, the significance of reducing pass-by noise is increasing steadily due to EU labeling regulations and the demands of car makers. As a result, numerous companies are actively conducting research to minimize pass-by noise. In this paper, we introduce a finite element method (FEM) prediction technique for reducing pass-by noise, aimed at reducing the time and cost involved in manufacturing, testing, and verifying pass-by noise. We have created a tire FE model that incorporates the full pitch sequence of the tire pattern, and used it to predict airborne noise (ABN) generated by air pumping and vibration due to the grooves in the pattern. The simulation environment was designed to match the test conditions in Hankook's anechoic chamber, and we compared the frequency spectrum of the simulation results with the actual test results. In conclusion, we have successfully performed FEM simulation of radiated noise, which accurately reflects the noise generation mechanism of rotating tires. This has improved the simulation accuracy for predicting airborne noise.

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