摘要
以胎面胶为研究对象,应用拉丁超立方抽样策略合理安排试验获得试验数据,以硬度和300%定伸应力为约束条件、以损耗因子为优化目标,采用支持向量机分别建立损耗因子、硬度和300%定伸应力模型。应用遗传算法在硬度和300%定伸应力约束条件下对损耗因子进行优化,得到近似最优值。结果表明,数值优化结果与试验结果基本一致,证明该方法可行。
Latin-Hypercube simulation was carried out by using the test data from the designed ex- periments of tread compound. Then support vector machine was used to build the models of loss fac-tor,hardness and modulus at 300% elongation, respectively, where the loss factor was optimization objective, and hardness and modulus at 300% elongation were applied as the constraint conditions. The approximate optimal value of loss factor under these constraint conditions was obtained by genetic algorithm. The experimental results were in good agreement with the simulated results, which demon-strated that the simulation method was effective and could be put into practical use.
出处
《橡胶工业》
CAS
北大核心
2013年第5期275-278,共4页
China Rubber Industry
关键词
轮胎
胎面胶
损耗因子
支持向量机
遗传算法
tire
tread compound
loss factor
support vector machine
genetic algorithm