Optimal distribution method of steel scrap for steelmaking

A technology for scrap steel and steel grade, applied in data processing applications, forecasting, instruments, etc., can solve problems such as difficulty in effectively controlling smelting costs

Pending Publication Date: 2022-06-24
ANHUI UNIVERSITY OF TECHNOLOGY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for optimally matching steel scrap for steelmaking, which solves the techn

Method used

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  • Optimal distribution method of steel scrap for steelmaking
  • Optimal distribution method of steel scrap for steelmaking
  • Optimal distribution method of steel scrap for steelmaking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] like figure 1 As shown, the optimal compounding method comprises the following steps:

[0048] S102. Determine a decision variable and a basic amount based on the type of scrap steel, the target steel type, and the optimization goal; the optimization goal includes minimizing the cost of scrap steel, and the decision variable includes the addition ratio of various types of scrap; the basic amount includes the use of big data The latest scrap yield obtained;

[0049] In this step, the decision variables and basic quantities are the basis for establishing a mathematical programming model. When determining the basic quantity, it is also necessary to consider the production plan and on-site conditions, such as comprehensive consideration of the material balance, energy balance, steelmaking process and equipment characteristics in the steelmaking process.

[0050] S104, establishing an objective function based on the decision variables and basic quantities, and constraints ...

Embodiment 2

[0081] According to the optimization method described in Example 1, the optimal allocation calculation is carried out for 80 tons of scrap steel for smelting 16Mn steel in an electric furnace, so as to reduce the cost of scrap steel per ton of molten steel. Specific steps are as follows:

[0082] First, based on the type of scrap steel - heavy waste and charge, shear waste and general waste, etc., the target steel type - 16Mn steel type, the optimization goal - the minimum cost of scrap steel batching, and comprehensively considering the 80-ton electric furnace production plan and on-site conditions, to determine decision-making variables It is the addition ratio of various types of scrap; the basic amount to determine includes: the latest scrap yield of scrap, unit price of scrap, inventory, total scrap loading, content of harmful elements; and the content of harmful elements of target steel grades, etc.

[0083] Among them, the harmful element content of the target steel gra...

Embodiment 3

[0098] According to the optimization method described in Example 1, the optimal allocation calculation is carried out for 120 tons of scrap steel for smelting 13Cr steel in an electric furnace, so as to reduce the cost of scrap steel per ton of molten steel. Specific steps are as follows:

[0099] First of all, based on the type of scrap steel - heavy waste and charge, shear waste and general waste, etc., the target steel type - 13Cr steel type, the optimization goal - the minimum cost of scrap steel batching, and comprehensively considering the 120-ton electric furnace production plan and site conditions, determine decision-making variables It is the addition ratio of various types of scrap; the basic amount to determine includes: the latest scrap yield of scrap, unit price of scrap, inventory, total scrap loading, content of harmful elements; and the content of harmful elements of target steel grades, etc.

[0100] Among them, the harmful element content of the target steel ...

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Abstract

The invention belongs to the technical field of steel smelting, and discloses an optimal distribution method of steel scrap for steelmaking. The optimal distribution method comprises the steps that firstly, decision variables and basic quantities are determined based on the waste steel type, the target steel type and the optimization target; the optimization target comprises waste steel burdening cost minimization, and the decision variables comprise adding proportions of various types of waste steel; secondly, establishing an objective function and a constraint condition corresponding to the objective function based on the decision variable and the basic quantity; the parameters of the objective function comprise the newest yield of the scrap steel; thirdly, establishing a mathematical programming model based on the decision variable, the basic quantity, the objective function and the constraint condition; then, solving the mathematical programming model to obtain the adding proportion of various types of waste steel; and based on the adding proportion of each type of waste steel and the ton number of the target steel grade, the adding amount of each type of waste steel is obtained. During actual production, the steel scrap burdening cost during smelting can be greatly reduced.

Description

technical field [0001] The invention relates to the technical field of iron and steel smelting, in particular to a method for optimally distributing scrap steel for steelmaking. Background technique [0002] With the development of my country's industrialization, the iron and steel industry, as a pillar industry of the economy, has a huge demand. And with the advent of the middle and late stages of industrialization, my country's steel industry is also facing opportunities and challenges to control production capacity, limit production and reduce energy consumption. [0003] In the existing iron and steel smelting, the main raw materials are divided into two categories: one is blast furnace molten iron, and the other is scrap steel. Among them, since scrap steel is a recyclable man-made mineral resource, it is beneficial to reduce the smelting cost. And compared with blast furnace molten iron, it has lower energy consumption per ton of steel and lower CO 2 Therefore, it i...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04
CPCG06Q10/04G06Q10/0631G06Q50/04Y02P90/30
Inventor 张超杰张立强李梦飞康欣蕾年义程锦君纳卡什·阿里
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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