Steel Alloying Model Based on Planning Algorithm

Addressing issues such as high alloy costs, inaccurate composition control of post-alloying compositions, and excessive alloy additions in refining furnaces during the converter steelmaking alloying process, the converter alloying process at the Third Steelmaking Plant of Zenith Iron and Steel Group Co., Ltd. was taken as the subject of study. Based on historical converter smelting data, material balance and thermal balance calculations were conducted to establish a theoretical steel tapping volume calculation model. Historical alloy feeding data and batching structures were analyzed, and integrated into an alloying database. Combined with planning algorithms, a steel tapping alloying model was established. Based on actual production data, the alloying hit rate and comprehensive economic benefits under different modes were compared, and the alloying model was revised to establish the optimal alloy batching structure. Finally, industrial trials were conducted using 20CrMnTiCQ steel as the test steel to verify the beneficial effects of the model proposed in this paper. The results show that compared to manual addition of alloys, the alloy addition amount calculated by the model in this paper is less, achieves a 100% alloying composition hit rate, higher accuracy and stability of composition control, less pressure on LF furnace alloy supplementation, a 9.3% reduction in average alloy supplementation, and an average cost reduction of 20.1 yuan per ton of steel.