Application of Tread Patterns Noise-Reduction Based on Fuzzy Genetic Algorithm

Abstract

With the growing number of cars, how to effectively reduce tire noise on the environmental pollution has become an urgent problem. The Fuzzy Genetic Noise-Reduction Algorithm, FGNRA, was proposed based on the analytic result of pattern parameters, which include the width and length of pattern block, the width length and direction of pattern slot, the number of pattern strip the basic number of pattern pitch, the pitch array and the pattern misplacement. The method of fuzzy noise tread patterns and the use of genetic algorithm to optimize the structural parameters to achieve the purpose of reducing tire noise, and a low-noise tread patterns structure were proposed at the same time. The research results have been successfully applied to the design of way for the low- noise tread patterns.