PDF全文下载：2011040384
刘小青， 张振秀， 刘林国， 辛振祥*
（青岛科技大学 橡塑材料与工程教育部重点实验室，山东 青岛 266042）
摘要： 采用均匀设计方法设计了天然橡胶硫化体系配方，运用BP神经网络和遗传算法结合对实验数据进行了数据处理，用较少的实验次数成功建立了因素与性能之间的定量关系。利用训练好的神经网络对硫化配方进行优选，并对优选的配方方案进行试验验证，预测结果与实验数据比较吻合，并且得到当硫化配方为基本配方（均为质量份）天然橡胶 100，炭黑N375 22.5，炭黑N660 22.5，增黏树脂 4，硬脂酸 3，氧化锌 3.5，防老剂 1.7时，硫磺1份，促进剂1.2份时，正硫化时间（TC90）较短，焦烧时间（TS2）较长，此配方是最优硫化配方。
关键词： 均匀设计； 神经网络； 遗传算法； 硫化体系； 配方优化
中图分类号： TQ 336.8文献标志码: A
Application of the Artifical Neural Network Based on the Uniform
Design in the Study of Rubber Formulation
LIU Xiao-qing, ZHANG Zhen-xiu, LIU Lin-guo, XIN Zhen-xiang
（Key Laboratory of Rubber-plastics，Ministry of Education，Qingdao University of Science and Technology,Qingdao 266042, China）
Abstract: The uniform design method was employed in this paper to design the formulations of natural rubber vulcanization system, and the experimental data processing was adopted a hybrid artificial neural network(ANN)-genetic algorithm(GA) approach. The quantitative relations between the performance and influencing factors were gained in a few trials, and the the completed neural network was used to optimize the formulation of rubber. The predicted results was tested by experiments,and the results were good agreement with the predicted values. Besides, when the sulphr and accelerator loadings were 1 phr and 1.2 phr separately, the optimal curing formula,with shorter vulcanization time (TC90) and longer scorch time (TS2),was obtained.
Key words: uniform design; artificial neural network; genetic algorithm; curing system; formulation optimization
收稿日期：2011-03-14
基金项目： 青岛科技大学科研启动基金项目（0022446）.
作者简介： 刘小青（1987—），女，硕士研究生.*通信联系人.
