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.