关键词: 高碳钢,连铸小方坯, 中心碳偏析, 多元线性回归, BP神经网络

Abstract: The each technology parameters in range of carbon 0.58% -0.83%, water ratio in secondary cooling zone 0.82-2.86 L/kg, casting speed 1. 9 〜3.0 m/min and superheating of liquid steel 17 ~ 60 ℃： on center carbon segregation of 140 mm x 140 mm and 150 mm x 150 mm billet has been analyzed at given mould electromagnetic stirring (230 ~ 245 A) using multivariate linear regression analysis, and the predicted calculation was carried out using Back Propagation (BP) neural networks. Hie results by multivariate regression analysis showed that the carbon content in steel was remarkable factor to influence the center carbon segregation, next were casting speed and water; and with carbon content in steel, casting speed and superheating of liquid steel increasing, the center carbon segregation in billet increased and with water ratio in secondary cooling zone increasing, the center carbon segregation decreased.