Abstract
Identifying the cause of vehicle noise is a basic requirement for the development of low-noise vehicles. The tire pattern noise depends on the tire itself and causes complex and unpredictable sounds. In pneumatic tire pattern design, the prediction technology of the tire pattern noise according to pattern shape design is important. The conventional method of predicting tire pattern noise is to simply scan the pattern shape of tire and to analyze its spectrum. However, this method has limitations because it does not consider the transfer function and precise mechanism of tire pattern noise. In this study, adaptive filter theory was applied to identify the transfer function between the grooves of patterns and measured acoustic data. To predict the waveform of an actual pattern noise in the time domain, the impulse response of this transfer function was convolved by the scanned pattern input of tires. The predicted waveform of pattern noise was validated with the waveforms of measured noise data. Finally, a sound quality index (SQI) of tire pattern noise was developed using the measured pattern noises and was applied to estimate the sound quality of pattern noise. Eventually, using the prediction method from this study, we hope to reduce the time and cost spent on tire pattern design and verification.
Highlights
Noise produced by cars is important inside and outside [1]
One query pair was the major attributes for sound quality of the pattern subjective evaluation for the tire pattern noise in a radial graph to present the subjective score of noise
From estimated for aaloudness andnoise sharpness are applicable for the sound quality index (SQI) of tire pattern this study, the adaptive filter method, we can obtain the waveform data of each tire pattern before manufacturing the adaptive afilter method, weestimating can obtain the and waveform data pattern we developed tire pattern noise system calculated the of SQIeach of tiretire pattern noise.before
Summary
Noise produced by cars is important inside and outside [1]. Due to the development of automotive technology and the increased interest in environmental issues, many innovative noise reduction techniques for automotive engines have been studied, especially for the development of electric cars. ATherefore, common because of the grounding of theaccurate tread, the shape of the road surface, and method of estimation of the tire pattern noise is to use the blocked pitch sequence [15] This method accurate noise prediction is important in the design step. It is difficult to predict the actual waveform with this traditional method, and in not consider the transfer function and precise mechanism of tire pattern noise. Adaptive most cases, the method has limitations because it does not consider the transfer function and precise filter theory applied to identify the transfer between the grooves of patterns and mechanism of was tire pattern noise. An optimal adaptive filter was designed to identify were processed to predict the input force exciting the tire.
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