Method for forecasting and producing narrow hardenability strip steel by hardenability

The invention discloses a method for forecasting and producing narrow hardenability strip steel by hardenability, mainly aiming at steel grade which has a hardenability requirement and evaluates tail-end quenching hardness by a Jominy value. The strip steel comprises pinion steel, hardened and tempered steel, spring steel and bearing steel. The invention combines a BP (back propagation) manual neural network model with an incremental algorithm, takes the component increment of chemical components to a reference furnace as input, takes end quenching value increment of Jominy tail-end quenchinghardness to the reference furnace as output, and builds a hardenability forecast model based on an incremental neural network; according to the difference of the end quenching precast value and the end quenching target value of the neural network model, a component rule base gives the adjustment quantity of each element component, and the process of charging is carried out according to the alloy addition calculated by an alloy charging model so as to realize on-line fine tuning and narrow hardenability strip steel control of the chemical components in the molten steel refining process. The method in the invention can be used to produce the end quenching steel of which the hardenability bandwidth is 4HRC.