| Optimization on tire wear performance based on artificial intelligence technology |
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| DOI： |
| Key Words: radial tire；wear；artificial intelligence |
| Author Name | Affiliation | | ZHANG Jian | Jiangsu University of Science and Technology | | TANG Wen-xian | Jiangsu University of Science and Technology | | WANG Chen | Jiangsu University | | WANG Guo-lin | Jiangsu University | | YING Shi-zhou | Aeolus Tire Co.，Ltd |
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| Abstract: |
| Based on orthogonal experimental design，neural network and genetic algorithm，a new optimization approach for determination of structural parameters was presented by using 3D finite element software.The belt structural parameters of 12.00R20 tire were chosen as the design variables，and the skewness value of contact pressure distribution was selected as target variable.The numerical and experimental analysis confirmed that the optimization technique could lead to a final optimum distribution of contact pressure and better wear performance. |
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