Intelligent Control System of BOF Steelmaking
0n the basis of analyzing BOF steelmaking characteristics, a prediction model and control model based on neural network were established. Taking endpoint temperature and endpoint carbon content as control target, oxygen-blown volume and added coolant were calculated, then endpoint control of convert steelmaking was realized. Simulation results show that the simulation result of endpoint temperature and carbon content are satisfying and control strategy is very effective. The application results demonstrate the efficiency of the method.
Research and Application on Compound Intelligent Control System for Coke Oven Heating
Coke oven is a complex object with the characteristics of long time-delay,strong non-linearity,multivariable coupling and parameters changeability.The mean flue temperature is affected by many factors and traditional control method is not satisfactory.A control principle of combining the intermittent heating control with heating gas flow adjustment was proposed and the intelligent control methods,namely fuzzy control and neural network,were adopted to establish intelligent control strategy and model of coke oven heating,which combines two feedback control,one feedforward control and intelligent control.According to coking mechanism,a feedforward model was built for heat supply,and carbonization index CI feedback model was proposed to control coking.A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.Intelligent control methods were used to control heating time and heating gas flow.Finally a compound intelligent control system of coke oven was developed.The practical operation indicated that the system can realize intelligent control of coke oven,stabilize production,improve effectively coke quality and decrease energy consumption.
Effect of temperature on the solvated electron in 1-propanol
Abstract The technique of pulse radiolysis has been used to study the effect of temperature on the solvated electron in 1-propanol. The spectrum of the solvated electron has been measured in the range 140–298 K. The wavelength at maximum absorption, λ max , decreases with decreasing temperature (corresponding to an increase in the energy, E max ) but the spectral width at half height, ΔE 1 2 , changes little with temperature. At temperatures above ≈180 K, the formation of the solvated electron is complete at the end of the pulse and its spectrum shows no change in shape with time. Below ≈170 K, the absorption spectrum is time-dependent in both liquid and glassy phases, the changes being attributed to the solvation process. The reaction(s) leading to solvated electron formation following the pulse show an activation energy of 22±2 kJ mol − and the solvated electron decays with an activation energy of 20±2 kJ mol −1 . The yield of solvated electrons decreases continuously with decreasing temperature in the range 298-77 K and, at all temperatures studied, is less than the total ionization yield measured by scavenging techniques.