Comprehensive optimization method for steel sintering secondary burdening

Abstract

The invention discloses a comprehensive optimization method for steel sintering secondary burdening. In the invention, steel sintering pre-burdening and a sintering burdening model are integrated; a comprehensive optimization model of the steel sintering secondary burdening is built through chemical composition information, burning loss rate and proportioning constraint interval of iron ore, fusing agents, fuel and sintering recycled object as well as constraint conditions of chemical composition indexes such as iron grades of neutralization powder and agglomerates, calcium oxide content, silica content, magnesium oxide content, aluminum oxide content, sulfur content and the like; and therefore, the secondary burdening process comprising working procedures of pre-burdening and sintering burdening is accurately described, the problem of local optimization but not global optimization because of respectively solving a pre-burdening optimization model and a sintering burdening optimization model is avoided; and the global comprehensive optimization of the steel sintering secondary burdening is realized.

Description

technical field [0001] The invention belongs to the technical field of sintering production process control, and relates to a comprehensive optimization method for secondary batching of iron and steel sintering. Background technique [0002] The batching process is the first process in the steel sintering process, which plays a decisive role in the chemical composition index of sintered ore and has an important impact on the physical performance index of sintered ore. The sintering plants of domestic iron and steel enterprises generally adopt the secondary batching process. First, the iron ore raw materials are uniformly mixed to form neutralized powder. The mixture is formed, a process known as "sintering the batch". The mixture is sintered to form the final product sinter. [0003] The previous batching optimization model aimed at the lowest unit price of neutralization powder and sintering ore, respectively established a pre-batching optimization model and a sintering b...

AI Technical Summary

Problems solved by technology

[0003] The previous batching optimization model aimed at the lowest unit price of neutralization powder and sintering ore, respectively established a pre-batching optimization model and a sintering batching model for optimization, resulting in the optimization results that the pre-batching process and sintering batching process respectively achieved local optimization and the secondary The overall batching process has not reached the optimum; at the same time, the previous batching optimization model set the lowest unit price as the optimization goal, and did not fully consider the material loss of various raw materials during the sintering process. The high burning loss rate leads to low sinter output, which also leads to Rising cost of sinter

Images