BF burden distribution numerical simulation based on genetic algorithm
MA Fu-tao1,ZHANG Jian-liang1,LIU Yun-cai2
(1. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China 2. Chief Engineer Office, Shougang Group Co., Beijing 100041, China)
Abstract:In order to further improve the practicability of BF burden distribution numerical model. Based on the present status of BF burden distribution numerical simulation, burden distribution theory and artificial intelligence algorithms are both applied to establish the whole throat burden layer numerical simulation model, which solves the defects and difficulties of previous models. Besides, model calculations and simulation effects are compared and discussed in this paper. The simulation results show that, continuous and complex burden distribution process can be well simulated by the newly created model, and good adaptability is represented. Compared with the previous models, the simulation effects are closer to the reality.
马富涛,张建良,刘云彩. 基于人工智能算法的高炉布料数值模拟[J]. 钢铁, 2017, 52(6): 18-25.
MA Fu-tao,ZHANG Jian-liang,LIU Yun-cai. BF burden distribution numerical simulation based on genetic algorithm. Iron and Steel, 2017, 52(6): 18-25.