摘要
以提高轮胎硫化程度均匀性为目标,运用ABAQUS软件对11.00R22.5载重子午线轮胎建立了硫化仿真有限元模型,结合轮胎硫化实际过程进行了温度场仿真分析.在温度场分析基础上,利用阿累尼乌斯方程计算轮胎硫化程度.利用正交试验设计、神经网络和遗传算法等优化技术,建立了轮胎硫化数值优化设计方法.对轮胎硫化过程中以外温蒸汽边界条件为设计变量对轮胎硫化程度均匀性进行优化,使轮胎硫化程度均匀性和硫化时间均得到改善.通过对优化前、后结果进行对比分析表明:采用优化后的外温蒸汽边界可以使轮胎硫化程度均匀性得到提高,性能得以提升,同时在不降低轮胎硫化性能情况下减少了硫化时间,缩短了生产周期,节约能源的同时提高了生产效率.
In order to optimize the tire curing degree of uniformity,the curing FE models of radial tire 11.00R22.5 were built by ABAQUS and the temperature fields were analyzed.Based on this,the curing degrees of tire were calculated by Arrhenius Equation.With the help of orthogonal experimental design,neural network and genetic algorithm,a new optimization approach for determination of external steam temperature during tire vulcanization process was proposed.It was expected that the refined optimization technique would lead to good curing degree of uniformity and curing time.From the comparison between the initial results and optimized results,it finds that more uniform level of the optimized tire vulcanization has been reached and the performance of tire has been upgraded.At the same time,the production cycle decreases and the productivity increases due to the reduced tire vulcanization.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2011年第2期144-147,共4页
Journal of Jiangsu University：Natural Science Edition
基金
高等学校博士学科点基金资助项目(20070299006)
江苏省六大人才高峰项目(07D019)
关键词
子午线轮胎
硫化
有限元分析
优化
仿真
radial tire
curing
finite element analysis
optimization
simulation
