Steel Plant In China Research Articles

Optimization of Soft Reduction Process for Continuous Thick Slab Casting

In this paper, a two-dimensional non-steady-state heat transfer model has been established for the working conditions of thick slab in a steel plant in China, a modification has been made on the basis of the nailing experimental results, the slab solidification difference of practice and prediction by field heat tracing model has been analyzed. The results show that the actual solidification end point of slab is more close to meniscus than prediction, the distance difference is 0.592m, the better soft reduction zone is from 0.2 to 0.9, which the level of central segregation can be reduced from the class B 1.0 to C 1.0.

Application of Mix Optimization Scheduling Approach for Steelmaking-Continuous Casting Process Based on Actual Steelmaking Industry

The models, algorithms and implementation results of a computerized scheduling system were introduced for the steelmaking-continuous casting process (SCCP) of a steel plant in China. The scheduling of SCCP in this plant required that each cast plan should be processed on time, the charges in the same cast should be processed continuously on the same caster, and the waiting time of the charges which are in front of each caster cannot exceed the given threshold. At the same time, the processing time of charges cannot be conflicted mutually in the same converters or refining furnaces. Based on the research background, a hybrid optimal scheduling approach and its application were discussed. Aiming at the main equipment scheduling, an optimal scheduling method was proposed which consisted of equipment assignment algorithm based on dynamic program (DP) technique and conflict elimination algorithm based on linear program (LP) technique. The approach guarantees that the charges are continuously processed on the same caster. Meanwhile, the requirement for high temperature ladle can also be satisfied due to the ladle matching function. Numerical results demonstrate solution quality, computational efficiency, and values of the models and algorithm.

An Effective Approach for the Scheduling of Steel-making and Continuous Casting System with Stochastic Processing Requirements

AbstractThe steel-making and continuous casting system (SCCS) is the bottleneck in the iron and steel production, SCCS often involve various uncertainties such as the emergency customer orders, inaccurate estimate of ingredient components, the unpredictable machine breakdown or the inaccurate estimate of processing time. How to consider such uncertainties to build a better schedule in a limited time by a computationally efficient manner is becoming critical for the production of iron and steel. The stochastic dynamic programming method is adopt to solve the obtained subproblems which are relaxed by Lagrangian relaxation multipliers, a good dual solution is selected by using “ordinal optimization,” and the actual schedule is dynamically constructed based on the dual solution and the realization of random processing requirements. The method has been tested by using practical data from the Shanghai Bashan steel plant in China and could get near optimal solutions in a limited time; the stochastic processing requirements are effectively handled for the production.

Affecting Factors and Improving Measures for Converter Gas Recovery

Abstract To change the undesirable present situation of recovering and using converter gas in steel plants in China, the basic approaches to improving the converter gas recovery rate were analyzed theoretically along with the change curves of the converter gas component content, based on the converter gas recovery system of Baosteel No. 2 steel-making plant. The effects of converter device, raw material, air imbibed quantity, recovery restricted condition, and intensity of oxygen blowing on the converter gas recovery rate were studied. Among these, the effects of the air imbibed quantity, recovery restricted condition, and intensity of oxygen blowing are remarkable. Comprehensive measures were put forward for improving the converter gas recovery from the point of devices, etc., and good results were achieved.

Development of Non‐coke Ironmaking Processes in China

Development of non‐coke ironmaking process in China is presented. It is concluded that coal‐based rotary kiln is still the main process for direct reduced iron (DRI) production in the near future in China. The most important problems of DRI production in China are small production scale and heavy environment pollution. Now the gas‐based shaft furnace process has become one of the significant processes of DRI production in China. The market demand for DRI production in China is continuously increasing. Due to the tense supply of coking coal and its heavy environmental load, more steel plants in China will use smelting reduction (SR) technology.