| 基于遗传算法的轮辋放气装置优化分析 |
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| 引用本文： | 吴中元,何子燚,黄永博.基于遗传算法的轮辋放气装置优化分析[J].专用汽车,2021(3):83-87. |
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| 作者姓名： | 吴中元 何子燚 黄永博 |
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| 作者单位： | 中汽研汽车检验中心（武汉）有限公司 |
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| 摘 要： | 针对爆胎现象,开发出一种快速放气的模拟爆胎装置;结合轮辋放气模拟装置的结构特点和放气时间的影响因素间非线性关系,提出一种基于神经网络的放气规律模型;通过遗传算法对各影响因素进行全局寻优得到最短放气时间的影响因素组合。在满足爆胎试验的要求下,结合实际案例,证明优化后的影响因素组合是行之有效的。
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| 关 键 词： | 轮辋放气模拟装置 放气规律模型 神经网络 遗传算法 |
Optimization Analysis of Rim Deflation Device Based on Genetic Algorithm |
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| Abstract: | Aiming at the phenomenon of tire blow out,a kind of tire blow out simulation device was developed.Combined with the structural characteristics of rim deflation simulation device and the nonlinear relationship between the influencing factors of deflation time,a deflation rule model based on neural network was proposed.The influence factors combination of the shortest deflation time was obtained by global optimization of each influencing factor by genetic algorithm.In order to meet the requirements of tire burst test,combined with practical cases,it is proved that the optimized combination of influencing factors is feasible and effective. |
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| Keywords: | rim deflation simulation device outgassing rule model neural network genetic algorithm |
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