高速钢复合轧辊辊套热处理新工艺研究

Study on New Heat Treatment Process of High Speed Steel Compound Roll Sleeve

高碳高速钢是取代普通耐磨合金制造轧辊的新材质,淬火高速钢辊套硬度高,内孔加工性能差。采用控制辊套内层冷却技术,在热处理条件下,获得了内外层组织和性能呈梯度分布的高速钢复合辊套。利用神经网络对保温板的厚度和导热系数、保温涂料的厚度和导热系数与辊套内层硬度样本集的学习,采用改进的BP网络算法,建立了复合辊套热处理保护工艺人工神经网络模型,具有较高的精度和很好的泛化能力,且运算速度快,可方便用于指导实际生产。

High carbon high speed steel (HSS) is a new material replacing common wear resistant alloy. Quenched high speed steel roll sleeve has high hardness and poor workability. With the controlling technique of roll inner layer cooling, compound roll sleevs of gradient structures and hardness at inner and outer layer were obtained under heat treatment conditions. With the utilization of the neural network to learn samples collected among the heat insulation plate thickness, the plate thermal coefficient, the coating thickness, the coating thermal coefficient and the inner layer hardness of HSS roll, and on the basis of the improved BP network algorithm, the neural network model in protecting process was obtained in the heat treatment of compound HSS roll. The neural network model has turned out to be precise, efficient and great reliable in the application.