Study On Tire Noise Analysis Evaluation And Test

With the continuous social development, environmental issues become more prominent. Tires as one of the main factors that generate traffic noise get more and more attention. Many factors affect the noise of the tire, including the structure of the tire, the tire pattern, the material for the cords of the tire, tread rubber and so on. The paper is mainly to reduce tire pattern noise for the purpose of comprehensive and systematic analysis of the optimization of low-noise tire pattern, evaluation, testing and analysis methods. Including tire pattern noise modeling, optimization method of low noise tire pattern, the tire noise objective and subjective evaluation method, the tire noise test system and test method, and the tire noise analysis methods.The following aspects are the main research works and innovations are as follow:(1) The existing mathematical model of the tire pattern noise has been amended. According to the problem that the original mathematical model of the tire pattern noise analysis is vary greatly as applying to aggressive thread patterns, the dual source sound mechanism is applied. By using of the sound field sound radiation characteristics, the original pattern of sound mathematical model is amended. The amended result shows to improve the degree of compliance with the field data.(2) A complete set of subjective and objective evaluation system of tire noise are established. For overcoming the problem that traditional A sound level and1/3octave does not provide enough information of tire noise, to design the objective parameters for objective evaluation method and the evaluation factors for subjective evaluation method, which are for describing the tire noise. And also the tire noise subjective evaluation experiment is designed. In addition, in order to save the cost of the subjective evaluation, fitting subjective evaluation factor with objective parameters method is using in the tire noise fuzzy comprehensive evaluation. The results show that the evaluation results of this fitting method and the subjective evaluation of the same.(3) A new algorithm for the optimization analysis of tire pitch parameter is used. Based on tire noise model and regard fuzzy evaluation of tire noise as the objective function, use the adaptive immune genetic algorithm (AIGA) to optimize tire pitch parameters, which include the pitch ratio and the pitch array. The result of instance optimization of tires shows:This optimization can effectively reduce the tire noise. On the other hand, compare the optimization processes of the adaptive immune genetic algorithm (AIGA), the genetic algorithm (GA) and the immune genetic algorithm (IGA), the results show that this algorithm improves the searching speed and global optimization ability to avoid the conventional genetic algorithm precocious and degradation phenomena.(4) Tire noise is analyzed by using own designed and established tire noise test system. Based on the full research of related tire noise measurement methods at home and abroad, indoor and outdoor test systems of the tire noise are designed and constructed respectively. The muffler and sound insulation performance of the trailer is tested in accordance with JJF1147-2006. The test results show that the trailer meet the measurement requirements. Design and calculation of the relevant parameters of the indoor anechoic chamber are employed for the indoor measurement system. Test and research the noise of tire sample under different conditions in the two established testing system. Interpret tire noise spectrum based on test results, and analyze factors affecting the noise. The correlation analysis of the data obtained by the two methods of outdoor and indoor measurements is made finally, which can provide the basis for data comparison for these two measurement methods.(5) As tire noise signal changing with the tire pitch is a non-stationary signal, which is not fitted to use the conventional tire noise spectral analysis method, wavelet transform is introduced to analyze the tire pattern noise in this paper. The complex morlet wavelet is adopted, by adjusting the complex parameters of morlet wavelet function to analyze the tire samples of noise obtained by the semi-anechoic chamber, in order to study the factors that affect tire noise, to identify the reasons for the large sample noise. From the results, the wavelet transform is appropriate and more intuitive than conventional spectral analysis methods to analyze the tire noise. It is convenient to identify the noise value is high from sample due to the inappropriate pitch array of the tire.