Blast furnace smelting process for large-proportion brown iron powder sintered ore

Abstract

The invention relates to the technical field of iron alloy smelting, and discloses a large-proportion brown iron powder sintered ore blast furnace smelting process which comprises the following steps: step 1, selecting alternative raw materials; step 2, particle size improvement and proportion control; step 3, water management; step 4, optimizing a sintering process; step 5, digitalizing an intelligent monitoring system; and 6, environmental protection and resource recovery. By doping high-grade iron ore powder, waste steel, manganese mineral powder, chromium mineral powder, bauxite powder and other auxiliary mineral powder and adding biomass fuel, traditional high-cost raw materials and fuels are effectively replaced, a batching database is constructed through big data analysis, the expressions of different raw materials under different conditions are recorded, an optimal cost formula is quickly found, and the economic benefit is increased. And the beneficial effect of reducing the cost of ton iron on the basis of keeping the long-term stable operation of the blast furnace is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of ferroalloy smelting, in particular to a blast furnace smelting process for sintered ore with a large proportion of limonite powder. Background Art

[0003] There are many varieties of limonite powder, and their sintering performance and metallurgical value vary greatly, and their effects on blast furnace smelting are not the same. The companies that have conducted research earlier have gradually mastered the smelting characteristics through a large amount of production data, established a database, and the proportion and variety of limonite powder have been standardized and solidified, and a complete set of technical confidentiality mechanisms have been formed. As a result, some steel companies are currently unable to use large proportions of limonite powder for a long time due to weak technology and late research and development. They have insufficient operating experience in the use of large proportions of limonite powder sintering ore, and sacrifice costs to ensure production. Summary of the invention

[0004] Technical issues solved:

[0005] In view of the shortcomings of the prior art, the present invention provides a blast furnace smelting process for sintering ore with a large proportion of limonite powder, which has the advantages of maintaining long-term stable operation of the blast furnace and reducing the cost per ton of iron; optimizing the sintering ingredient structure, and then forming a standard ingredient database with optimal cost, thereby solving the problems of the above-mentioned technologies.

[0006] Technical solution:

[0007] To achieve the above object, the present invention provides the following technical solution: a blast furnace smelting process of a large proportion of limonite powder sintered ore, comprising the following steps:

[0008] Step 1: Select alternative raw materials: On the basis of keeping brown iron powder as the main raw material, add auxiliary mineral powder: high-grade iron ore powder, scrap steel; in addition to coke powder and semi-coke, add biomass fuel as solid fuel;

[0009] Step 2: Improve particle size and proportion control: Relax the particle size requirements for fine powder and coarse powder, reduce screening and grading costs, while ensuring combustion and sintering effects, establish a flexible proportioning mechanism, adjust the proportioning structure in real time according to the quality fluctuations of raw materials, introduce advanced digital monitoring systems, and realize automatic optimization of proportioning through big data analysis;

[0010] Step 3: Moisture management: Introduce an online moisture monitoring system to monitor the moisture content of the mixture in real time, automatically adjust the moisture content, add pore-forming agents to the cold-pressed pellets, enhance the air permeability of the pellets, and improve the fluidity of the sintering gas;

[0011] Step 4: Optimize the sintering process: Control the sintering process in stages, apply a relatively low temperature in the initial stage, and then gradually increase it;

[0012] Step 5. Digital intelligent monitoring system: Through big data analysis, build a batching database to record the performance of different raw materials under different conditions, help quickly find the optimal cost formula, introduce artificial intelligence technology to assist decision-making, monitor the blast furnace status in real time, and adjust operating parameters;

[0013] Step 6: Environmental protection and resource recovery: Introduce a waste heat recovery system to use the waste heat generated by the blast furnace and sintering process for hot water or steam supply, conduct modern treatment of blast furnace exhaust gas, adopt desulfurization and denitrification technology, and recover solid residues for resource utilization;

[0014] In the step 1, the auxiliary ore powder is prepared by mixing one or more of iron ore concentrate powder, manganese ore powder, chromium ore powder and bauxite powder.

[0015] Preferably, the minimization of the screening and classification costs in step 2 is calculated as:

[0016] min C 筛分和分级 =f(D 细 ,D 粗 )

[0017] Where: f(D 细 ,D 粗 ) function represents the cost associated with the granularity.

[0018] Preferably, the constraint condition in step 2 is calculated as:

[0019] X 细 +X 粗 =1

[0020] Where: the sum of the proportion of fine powder and coarse powder is equal to 1; Xfine is the proportion of fine powder, indicating the proportion of fine powder in the total ingredients; X 粗 It is the proportion of coarse powder, which means the proportion of coarse powder in the total ingredients.

[0021] Preferably, the effect constraint calculation in step 2 is:

[0022] E 燃烧和烧结 =g(D 细 , D 粗 , X 细 , X 粗 )≥E 最低

[0023] Among them: combustion and sintering effect E 燃烧和烧结 Must meet minimum requirements E 最低 ;

[0024] g(D 细 , D 粗 , X 细 , X 粗) represents the effect of the combustion and sintering process, which depends on the particle size and ratio of fine and coarse powders;

[0025] E 最低 The preset minimum standards for combustion and sintering effects ensure the quality and performance of the final smelting products.

[0026] Preferably, the calculation formula for the moisture adjustment amount in step 3 is:

[0027] ΔW=W 目标 -W 实时

[0028] Where: W 目标 is the preset target moisture content; W 实时 is the moisture content measured in real time; ΔW is the amount of moisture that needs to be added or reduced.

[0029] Preferably, the actual moisture content after adjustment in step 3 is calculated as:

[0030] W 调整后 =W 实时 +ΔW

[0031] Where: W 调整后 is the actual moisture content after adjustment;

[0032] The amount of the pore forming agent added is calculated as:

[0033] A 气孔形成剂 =k1×W 调整后 +k2

[0034] Among them: A 气孔形成剂 is the amount of pore former added; k1 is a constant, indicating the ratio of pore former to water; k2 is a constant used to correct or adjust the amount of addition.

[0035] Preferably, the temperature setting in the initial stage in step 4 is: T 初始 =700°C; set the initial sintering temperature to 700°C; segmented control steps: number of steps = n = 3; divide the sintering process into three steps;

[0036] The temperature rise for each step is calculated as:

[0037]

[0038] Assume the final temperature T 最终 =1200℃, then:

[0039]

[0040] Where: ΔT stepis the temperature rise for each step, specifically 166.67°C; T step Set the time for each step, specifically 20 minutes;

[0041] The time setting for each step is:

[0042]

[0043] Assume the total sintering time is t 总 = 60 minutes, then:

[0044] Preferably, the segment temperature in step 4 is calculated as:

[0045]

[0046] Where: T(t) is the segmented temperature curve equation

[0047] Substitute the values ​​to calculate:

[0048]

[0049] The density of the sintered block is calculated as:

[0050]

[0051] Among them: k1 is a constant, which represents the effect of temperature on sintering density, which is 0.01 in the example; k2 is a constant, which represents the effect of diameter and time ratio on sintering density, which is 0.005 in the formula; k3 is a constant, which represents the density reference value, which is 1.5 in the formula; d is the diameter of the sintered block, which is 10 cm in the formula; ρ 烧结块 is the density of the sintered block, calculated by temperature and time.

[0052] Preferably, the comprehensive performance score of the raw materials in step 5 is calculated as:

[0053]

[0054] Where: S i represents the comprehensive performance score of the i-th raw material; f ij represents the score of the i-th raw material under the j-th performance index; w j is the weight of the jth performance indicator;.

[0055] Preferably, the waste heat utilization efficiency in step 6 is calculated as:

[0056]

[0057] Where: η recovery Indicates waste heat recovery efficiency; Q producedRepresents the total waste heat generated by the blast furnace and sintering process; Q use The effective heat used for hot water or steam supply.

[0058] Compared with the prior art, the present invention provides a blast furnace smelting process for sintering ore with a large proportion of limonite powder, which has the following beneficial effects:

[0059] 1. The present invention effectively replaces traditional high-cost raw materials and fuels by adding auxiliary ore powders such as high-grade iron ore powder, scrap steel, manganese ore powder, chromium ore powder and bauxite powder, and adding biomass fuel, which not only reduces the cost of raw materials, but also reduces environmental pollution, relaxes the particle size requirements for fine powder and coarse powder, reduces the cost of screening and grading, introduces an online moisture monitoring system, monitors the moisture content of the mixture in real time and automatically adjusts it, ensures the optimal moisture content of the mixture, improves sintering efficiency and quality, and reduces problems caused by uneven moisture. The sintering process is controlled in sections, a relatively low temperature is applied in the initial stage, and then gradually increased, ensuring the stability and efficiency of the sintering process, reducing energy consumption and raw material waste, and constructing a batching database through big data analysis to record the performance of different raw materials under different conditions, and quickly find the optimal cost formula, thereby achieving the beneficial effect of reducing the cost per ton of iron on the basis of maintaining the long-term stable operation of the blast furnace.

[0060] 2. The present invention uses an advanced digital monitoring system to collect and analyze the quality and performance data of different raw materials in real time, and the system records the performance of different raw materials under different production conditions, including particle size, proportion, cost and corresponding sintering effect. By establishing a comprehensive and systematic ingredient database, a data foundation is formed to support subsequent decision-making. By using big data analysis technology, historical data can be analyzed to identify various factors that affect the sintering effect, and then a more reasonable ingredient plan can be formulated to help quickly find the optimal cost formula, improve the efficiency and accuracy of ingredient adjustment, and establish a flexible ratio mechanism. According to the fluctuation of raw material quality, the ingredient structure can be adjusted in real time to maintain the stability and efficiency of the sintering process, thereby achieving the beneficial effect of optimizing the sintering ingredient structure and forming a standard ingredient database with the optimal cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a schematic diagram of the steps of this invention; DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] See also Figure 1 A blast furnace smelting process for sintering ore with a large proportion of limonite powder comprises the following steps:

[0064] Step 1: Select alternative raw materials: On the basis of keeping brown iron powder as the main raw material, add auxiliary mineral powder: high-grade iron ore powder, scrap steel; in addition to coke powder and semi-coke, add biomass fuel as solid fuel;

[0065] Step 2: Improve particle size and proportion control: Relax the particle size requirements for fine powder and coarse powder, reduce screening and grading costs, while ensuring combustion and sintering effects, establish a flexible proportioning mechanism, adjust the proportioning structure in real time according to the quality fluctuations of raw materials, introduce advanced digital monitoring systems, and realize automatic optimization of proportioning through big data analysis;

[0066] Step 3: Moisture management: Introduce an online moisture monitoring system to monitor the moisture content of the mixture in real time, automatically adjust the moisture content, add pore-forming agents to the cold-pressed pellets, enhance the air permeability of the pellets, and improve the fluidity of the sintering gas;

[0067] Step 4: Optimize the sintering process: Control the sintering process in stages, apply a relatively low temperature in the initial stage, and then gradually increase it;

[0068] Step 5. Digital intelligent monitoring system: Through big data analysis, build a batching database to record the performance of different raw materials under different conditions, help quickly find the optimal cost formula, introduce artificial intelligence technology to assist decision-making, monitor the blast furnace status in real time, and adjust operating parameters;

[0069] Step 6: Environmental protection and resource recovery: Introduce a waste heat recovery system to use the waste heat generated by the blast furnace and sintering process for hot water or steam supply, conduct modern treatment of blast furnace exhaust gas, adopt desulfurization and denitrification technology, and recover solid residues for resource utilization;

[0070] In step 1, the auxiliary ore powder is prepared by mixing one or more of iron ore concentrate powder, manganese ore powder, chromium ore powder and bauxite powder.

[0071] Through advanced digital monitoring systems, the quality and performance data of different raw materials are collected and analyzed in real time, and the system records the performance of different raw materials under different production conditions, including particle size, proportion, cost and corresponding sintering effect. By establishing a comprehensive and systematic batching database, a data foundation is formed to support subsequent decision-making. By using big data analysis technology, historical data can be analyzed to identify various factors that affect the sintering effect, and then a more reasonable batching plan can be formulated to help quickly find the optimal cost formula, improve the efficiency and accuracy of batching adjustment, and establish a flexible ratio mechanism. According to the fluctuation of raw material quality, the batching structure can be adjusted in real time to maintain the stability and efficiency of the sintering process.

[0072] Specifically, the minimization of screening and classification costs in step 2 is calculated as:

[0073] min C 筛分和分级 =f(D 细 ,D 粗 )

[0074] Where: f(D 细 ,D 粗 ) function represents the cost associated with the granularity.

[0075] Specifically, the constraint condition in step 2 is calculated as:

[0076] X 细 +X 粗 =1

[0077] Where: the sum of the proportion of fine powder and coarse powder is equal to 1; Xfine is the proportion of fine powder, indicating the proportion of fine powder in the total ingredients; X 粗 It is the proportion of coarse powder, which means the proportion of coarse powder in the total ingredients.

[0078] Specifically, the effect constraint calculation in step 2 is:

[0079] E 燃烧和烧结 =g(D 细 , D 粗 , X 细 , X 粗 )≥E 最低

[0080] Among them: combustion and sintering effect E 燃烧和烧结 Must meet minimum requirements E 最低 ;

[0081] g(D 细 , D 粗 , X 细 , X 粗 ) represents the effect of the combustion and sintering process, which depends on the particle size and ratio of fine and coarse powders;

[0082] E 最低 The preset minimum standards for combustion and sintering effects ensure the quality and performance of the final smelting products.

[0083] Specifically, the calculation formula for the moisture adjustment amount in step 3 is:

[0084] ΔW=W 目标 -W 实时

[0085] Where: W 目标 is the preset target moisture content; W 实时 is the moisture content measured in real time; ΔW is the amount of moisture that needs to be added or reduced.

[0086] Specifically, the actual moisture content after adjustment in step 3 is calculated as:

[0087] W 调整后 =W 实时 +ΔW

[0088] Where: W 调整后 is the actual moisture content after adjustment;

[0089] The amount of pore forming agent added is calculated as:

[0090] A 气孔形成剂 =k1×W 调整后 +k2

[0091] Among them: A 气孔形成剂 is the amount of pore former added; k1 is a constant, indicating the ratio of pore former to water; k2 is a constant used to correct or adjust the amount of addition.

[0092] Specifically, the initial temperature setting in step 4 is: T 初始 =700°C; set the initial sintering temperature to 700°C; segmented control steps: number of steps = n = 3; divide the sintering process into three steps;

[0093] The temperature rise at each step is calculated as:

[0094]

[0095] Assume the final temperature T 最终 =1200℃, then:

[0096]

[0097] Where: ΔT step is the temperature rise for each step, specifically 166.67°C; T step Set the time for each step, specifically 20 minutes;

[0098] The time for each step is set as:

[0099]

[0100] Assume the total sintering time is t 总 = 60 minutes, then:

[0101] Specifically, the segment temperature in step 4 is calculated as:

[0102]

[0103] Where: T(t) is the segmented temperature curve equation

[0104] Substitute the values ​​to calculate:

[0105]

[0106] The density of the sintered block is calculated as:

[0107]

[0108] Among them: k1 is a constant, which represents the effect of temperature on sintering density, which is 0.01 in the example; k2 is a constant, which represents the effect of diameter and time ratio on sintering density, which is 0.005 in the formula; k3 is a constant, which represents the density reference value, which is 1.5 in the formula; d is the diameter of the sintered block, which is 10 cm in the formula; ρ 烧结块 is the density of the sintered block, calculated by temperature and time.

[0109] Specifically, the comprehensive performance score of the raw materials in step 5 is calculated as:

[0110]

[0111] Where: S i represents the comprehensive performance score of the i-th raw material; f ij represents the score of the i-th raw material under the j-th performance index; w j is the weight of the jth performance indicator;.

[0112] Specifically, the waste heat utilization efficiency in step 6 is calculated as:

[0113]

[0114] Where: η recovery Indicates waste heat recovery efficiency; Q produced Represents the total waste heat generated by the blast furnace and sintering process; Q use The effective heat used for hot water or steam supply.

[0115] By adding auxiliary mineral powders such as high-grade iron ore powder, scrap steel, manganese ore powder, chromium ore powder and bauxite powder, as well as adding biomass fuel, the traditional high-cost raw materials and fuels are effectively replaced, which not only reduces the cost of raw materials, but also reduces environmental pollution, relaxes the particle size requirements for fine powder and coarse powder, reduces the cost of screening and grading, introduces an online moisture monitoring system, monitors the moisture content of the mixture in real time and automatically adjusts it, ensures the optimal moisture content of the mixture, improves sintering efficiency and quality, and reduces problems caused by uneven moisture. The sintering process is controlled in sections, with a relatively low temperature applied in the initial stage and then gradually increased, ensuring the stability and efficiency of the sintering process and reducing energy consumption and raw material waste. Through big data analysis, a batching database is constructed to record the performance of different raw materials under different conditions and quickly find the optimal cost formula.

[0116] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A blast furnace smelting process for sintering ore with a large proportion of limonite powder, characterized in that: The following steps are involved: Step 1: Select alternative raw materials: On the basis of keeping brown iron powder as the main raw material, add auxiliary mineral powder: high-grade iron ore powder, scrap steel; in addition to coke powder and semi-coke, add biomass fuel as solid fuel; Step 2: Improve particle size and proportion control: Relax the particle size requirements for fine powder and coarse powder, reduce screening and grading costs, while ensuring combustion and sintering effects, establish a flexible proportioning mechanism, adjust the proportioning structure in real time according to the quality fluctuations of raw materials, introduce advanced digital monitoring systems, and realize automatic optimization of proportioning through big data analysis; Step 3: Moisture management: Introduce an online moisture monitoring system to monitor the moisture content of the mixture in real time, automatically adjust the moisture content, add pore-forming agents to the cold-pressed pellets, enhance the air permeability of the pellets, and improve the fluidity of the sintering gas; Step 4: Optimize the sintering process: Control the sintering process in stages, apply a relatively low temperature in the initial stage, and then gradually increase it; Step 5. Digital intelligent monitoring system: Through big data analysis, build a batching database to record the performance of different raw materials under different conditions, help quickly find the optimal cost formula, introduce artificial intelligence technology to assist decision-making, monitor the blast furnace status in real time, and adjust operating parameters; Step 6: Environmental protection and resource recovery: Introduce a waste heat recovery system to use the waste heat generated by the blast furnace and sintering process for hot water or steam supply, conduct modern treatment of blast furnace exhaust gas, adopt desulfurization and denitrification technology, and recover solid residues for resource utilization; In the step 1, the auxiliary ore powder is prepared by mixing one or more of iron ore concentrate powder, manganese ore powder, chromium ore powder and bauxite powder.

2. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 1, characterized in that: The minimization of the screening and classification costs in step 2 is calculated as: min C 筛分和分级 =f(D 细 ,D 粗 ) Where: f(D 细 ,D 粗 ) function represents the cost associated with the granularity.

3. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 2, characterized in that: The constraint condition in step 2 is calculated as: X 细 +X 粗 =1 Among them: the sum of the ratio of fine powder to coarse powder is equal to 1; X 细 is the proportion of fine powder, indicating the proportion of fine powder in the total ingredients; X 粗 It is the proportion of coarse powder, which means the proportion of coarse powder in the total ingredients.

4. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 3, characterized in that: The effect constraint calculation in step 2 is: E 燃烧和烧结 =g(D 细 ,D 粗 ,X 细 ,X 粗 )≥E 最低 Among them: combustion and sintering effect E 燃烧和烧结 Must meet minimum requirements E 最低 ; g(D 细 ,D 粗 ,X 细 ,X 粗 ) represents the effect of the combustion and sintering process, which depends on the particle size and ratio of fine and coarse powders; E 最低 The preset minimum standards for combustion and sintering effects ensure the quality and performance of the final smelting products.

5. The blast furnace smelting process of a large proportion of limonite powder sintered ore according to claim 1, characterized in that: The calculation formula of the moisture adjustment amount in step 3 is: ΔW=W 目标 -IN 实时 Where: W 目标 is the preset target moisture content; W 实时 is the moisture content measured in real time; ΔW is the amount of moisture that needs to be added or reduced.

6. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 5, characterized in that: The actual moisture content after adjustment in step 3 is calculated as: IN 调整后 =In 实时 +ΔW Where: W 调整后 is the actual moisture content after adjustment; The amount of the pore forming agent added is calculated as: A 气孔形成剂 =k1×W 调整后 +k2 Among them: A 气孔形成剂 is the amount of pore former added; k1 is a constant, indicating the ratio of pore former to water; k2 is a constant used to correct or adjust the amount of addition.

7. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 6, characterized in that: The initial temperature setting in step 4 is: T 初始 =700°C; set the initial sintering temperature to 700°C; segmented control steps: number of steps = n = 3; The sintering process is divided into three steps; The temperature rise for each step is calculated as: Assume the final temperature T 最终 =1200℃, then: Where: ΔT step is the temperature rise for each step, specifically 166.67°C; T step Set the time for each step, specifically 20 minutes; The time setting for each step is: Assume the total sintering time is t 总 = 60 minutes, then:

8. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 7, characterized in that: The segment temperature in step 4 is calculated as: Where: T(t) is the segmented temperature curve equation Substitute the values ​​to calculate: The density of the sintered block is calculated as: Among them: k1 is a constant, which represents the effect of temperature on sintering density, which is 0.01 in the example; k2 is a constant, which represents the effect of diameter and time ratio on sintering density, which is 0.005 in the formula; k3 is a constant, which represents the density reference value, which is 1.5 in the formula; d is the diameter of the sintered block, which is 10 cm in the formula; ρ 烧结块 is the density of the sintered block, calculated by temperature and time;.

9. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 8, characterized in that: The comprehensive performance score of the raw materials in step 5 is calculated as follows: Where: S i represents the comprehensive performance score of the i-th raw material; f ij represents the score of the i-th raw material under the j-th performance index; w j is the weight of the jth performance indicator.

10. A blast furnace smelting process for sintering ore with a large proportion of limonite powder according to claim 9, characterized in that: The waste heat utilization efficiency in step 6 is calculated as: Where: η recovery Indicates waste heat recovery efficiency; Q produced Represents the total waste heat generated by the blast furnace and sintering process; Q use The effective heat used for hot water or steam supply.

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