1. The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, Liaoning, China; 2. The Technical Research Institute, Meishan Steel Company, Nanjing, 210000, Jiangsu, China
Abstract：In order to design reasonable hot rolling process according to required mechanical properties, the SPPC (Structure Properties Prediction and Control Technology) was proposed to design hot rolling process for SPAH steel. Based on large quantity of production data, a model group including ten BP neural networks was established to describe the relationship between chemical composition, process parameters and mechanical properties. The prediction precision of yield strength, tensile strength and elongation reached ±6%, ±6% and ±4% respectively. Combined with the multiobjective particle swarm optimization algorithm, the optimization of processing parameters was conducted to meet the customers’ requirements of mechanical properties with preset chemical composition and process constraints. Good agreement was achieved between calculated and production data, which proves the validity of this method and provides guidelines for optimal design of hot rolling process.
贾涛;胡恒法;曹光明;刘振宇;王国栋. 基于组织性能预测的集装箱热轧板工艺优化[J]. 钢铁, 2008, 43(11): 54-0.
JIA Tao;HU Hengfa;CAO Guangming;LIU Zhenyu;WANG Guodong. Optimization of Process Parameters of Hot Rolling SPAH Steel Based on Prediction of MicrostructureProperties. Iron and Steel, 2008, 43(11): 54-0.
2008, Vol. 43 
