ANN Prediction Model for Impact Energy of Hot Rolled Plate
TAN Wen1,LIU Zhenyu1,WU Di1,WANG Guodong1,WANG Chunmei2
1. The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, Liaoning, China;2. Technology Center, Ji’nan Iron and Steel Group Co., Ji’nan 250101, Shandong, China
Abstract：In order to predict the Charpy impact energy of Q345B hot rolled plate at Jinan steel, an ANN (Artificial Neural Network) impact energy model was developed considering the factors of composition, process parameters and strength of the plate. The predicted Charpy impact energy from measured and predicted strength, was in good agreements with the measured values. Also, the effect of alloying elements and process parameters on impact energy was analyzed, obtaining the results consistent with the physicometallurgical rules. It is concluded that with given steel composition, plate thickness and measured or predicted strength the ANN model is able to predict the Charpy impact energy of hot rolled plate.
谭文;刘振宇;吴迪;王国栋;王春梅. 热轧中厚板冲击功的神经网络预报模型[J]. 钢铁, 2007, 42(2): 51-0.
TAN Wen;LIU Zhenyu;WU Di;WANG Guodong;WANG Chunmei. ANN Prediction Model for Impact Energy of Hot Rolled Plate. Iron and Steel, 2007, 42(2): 51-0.
2007, Vol. 42 
