江苏大学学报（自然科学版）2011，Vol.32Issue(2)：144-147,4.DOI:10.3969/j.issn.1671-7775.2011.02.005
基于人工智能技术的轮胎硫化优化
Tire curing optimization based on artificial intelligence technology
摘要
Abstract
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.关键词
子午线轮胎/硫化/有限元分析/优化/仿真分类
交通工程引用本文复制引用
王国林,施斌,姬新生,王晨,梁晨..基于人工智能技术的轮胎硫化优化[J].江苏大学学报（自然科学版）,2011,32(2):144-147,4.基金项目
高等学校博士学科点基金资助项目(20070299006) （20070299006）
江苏省六大人才高峰项目(07D019) （07D019）
