CN116741322A - Steelmaking alloy batching method based on low-cost measurement and calculation - Google Patents
Steelmaking alloy batching method based on low-cost measurement and calculation Download PDFInfo
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- CN116741322A CN116741322A CN202310725070.2A CN202310725070A CN116741322A CN 116741322 A CN116741322 A CN 116741322A CN 202310725070 A CN202310725070 A CN 202310725070A CN 116741322 A CN116741322 A CN 116741322A
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- 229910045601 alloy Inorganic materials 0.000 title claims abstract description 58
- 239000000956 alloy Substances 0.000 title claims abstract description 58
- 238000009628 steelmaking Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000005259 measurement Methods 0.000 title claims abstract description 9
- 238000004364 calculation method Methods 0.000 title abstract description 11
- 239000011572 manganese Substances 0.000 claims abstract description 43
- 229910052748 manganese Inorganic materials 0.000 claims abstract description 31
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 claims abstract description 26
- QFGIVKNKFPCKAW-UHFFFAOYSA-N [Mn].[C] Chemical compound [Mn].[C] QFGIVKNKFPCKAW-UHFFFAOYSA-N 0.000 claims abstract description 17
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 16
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 claims abstract description 16
- 229910000914 Mn alloy Inorganic materials 0.000 claims abstract description 12
- 229910000604 Ferrochrome Inorganic materials 0.000 claims abstract description 10
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims abstract description 8
- 229910052802 copper Inorganic materials 0.000 claims abstract description 8
- 239000010949 copper Substances 0.000 claims abstract description 8
- 229910052759 nickel Inorganic materials 0.000 claims abstract description 8
- 239000004615 ingredient Substances 0.000 claims abstract description 7
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 claims abstract description 5
- 229910052750 molybdenum Inorganic materials 0.000 claims abstract description 5
- 239000011733 molybdenum Substances 0.000 claims abstract description 5
- 229910000831 Steel Inorganic materials 0.000 claims description 33
- 239000010959 steel Substances 0.000 claims description 33
- 229910052799 carbon Inorganic materials 0.000 claims description 8
- 239000000463 material Substances 0.000 claims description 8
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 6
- 229910001309 Ferromolybdenum Inorganic materials 0.000 claims description 3
- 229910000519 Ferrosilicon Inorganic materials 0.000 claims description 3
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 3
- 229910052742 iron Inorganic materials 0.000 claims description 3
- 229910052710 silicon Inorganic materials 0.000 claims description 3
- 239000010703 silicon Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000000843 powder Substances 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 10
- -1 ferrophosphorus Inorganic materials 0.000 abstract 1
- 229910000640 Fe alloy Inorganic materials 0.000 description 11
- 238000007792 addition Methods 0.000 description 3
- 241000143432 Daldinia concentrica Species 0.000 description 2
- 229910000851 Alloy steel Inorganic materials 0.000 description 1
- 229910001021 Ferroalloy Inorganic materials 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910000510 noble metal Inorganic materials 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/04—Manufacturing
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Abstract
The application relates to the technical field of steelmaking, and discloses a steelmaking alloy batching method based on low-cost measurement, which comprises the following steps: s1, calculating the optimal cost performance of the manganese alloy; s2, calculating the use amount of alloys such as copper, nickel, molybdenum and the like of the converter; s3, calculating the dosage of carbon powder and manganese carbon spheres of the converter; s4, calculating Mn series alloy. The calculated alloy usage amount of the converter copper, nickel, molybdenum and the like is converted into the optimal input amount through the ratio, the manganese carbon sphere is influenced by the ratio of the alloy such as ferrophosphorus, ferrochromium, high manganese and the like, the usage amount of the manganese carbon sphere directly influences carbon powder and Mn alloy, and the requirements of low cost and high quality can be better met by controlling the manganese carbon sphere amount. The steelmaking alloy ingredients are changed from manual experience to automatic calculation of alloy proportions based on low-cost calculation, so that the alloy cost is greatly reduced, and low-cost and high-benefit production is realized. The operators weigh the alloy through the optimal ratio automatically analyzed, so that the operation burden is lightened, and the field operation efficiency is effectively improved.
Description
Technical Field
The application relates to the technical field of steelmaking, and particularly discloses a steelmaking alloy batching method based on low-cost measurement.
Background
In the steelmaking smelting process, the iron alloy is an important component of steel, and different grades of steel are consumed by different iron alloys to improve and improve the physical properties of steel, and various high-quality steel and alloy steel are produced, so that the iron alloy plays a decisive role in the performance of the steel.
The current steelmaking alloy standard relies on manual calculation and experience of technicians to put in the ferroalloy usage amount, although the current production management and technology can be realized manually. However, the iron alloy is of a great variety and requires a great deal of production experience from field personnel. And the method has the advantages of large work load of alloy calculation, more repeated links, long-time calculation, poor accuracy of the input use amount and lack of a matched alloy model to achieve the best alloy consumption result.
In the existing production system, the manufacturing management system can formulate manufacturing standard information according to the variety and the application of steel and issue the manufacturing standard information to the process control system, alloy standards lack standards of auxiliary material alloy, the approximate consumption of the auxiliary material alloy can only be manually weighed according to the actual condition of the site and the production experience, no support of a model exists, and the auxiliary material alloy does not have strictly controlled conditions.
Most of iron alloys are noble metals, the alloy elements required by each steel grade and the content of the alloy elements in molten steel have different requirements, the ratio of the added alloy is different, the ratio of the iron alloys is mainly analyzed manually at present according to the price and the production condition of the iron alloys, and the model of the iron alloys with high cost performance and the optimal alloy component ratio which is combined with the alloy price and the steel grade requirement system is lacking, so that the minimum alloy cost cannot be maximally achieved.
Disclosure of Invention
The application mainly solves the technical problems of inaccurate alloy input amount, inaccurate control of alloy auxiliary materials and incapability of maximally achieving minimum alloy cost by providing a steelmaking alloy batching method based on low-cost measurement.
In order to solve the above technical problems, according to one aspect of the present application, more specifically, a steelmaking alloy batching method based on low cost measurement, comprising the steps of:
s1, calculating the optimal cost performance of the manganese alloy;
s2, calculating the use amount of alloys such as copper, nickel, molybdenum and the like of the converter;
s3, calculating the dosage of carbon powder and manganese carbon spheres of the converter;
s4, calculating Mn series alloy.
In the step S1, the material cost, the temperature cost, the iron-containing cost, the carbon-containing cost and the silicon-containing cost are calculated according to the price of the manganese alloy, the alloy with high cost performance of the manganese alloy is analyzed, and the input ratio is set. The recommended alloy input amount is the optimal use amount after the conversion of the occupation ratio.
Further, in S2, the ingredients of copper plate, nickel plate, ferromolybdenum, ferrochrome, ferrophosphorus and ferrosilicon are calculated mainly from the target components of elements, the target molten steel amount, the element content and the alloy yield. And (3) calculating basic data such as the C-increasing amount of ferrophosphorus, the C-increasing amount of ferrochromium and the like through the S2, and recommending the use amount of carbon powder and manganese carbon balls for the S3.
Further, in S3, the manganese carbon sphere amount i= ((target C-ferrophosphorus increase C-ferrochromium increase C-X-high rapid increase C)/(target steel water amount)/(manganese carbon sphere C content X yield). In S4, the amount of electrolytic manganese and high manganese is influenced by the input amount of the manganese carbon spheres in S3, when the use amount of the manganese carbon spheres is less, the Mn alloy amount is inversely proportional, and the use amount is correspondingly more.
Further, in S4, electrolytic manganese= ((target Mn-Mn residue-Mn-added amount of ferrophosphorus-Mn-added amount of manganese carbon sphere) ×target molten steel amount)/(electrolytic manganese Mn-added amount) ×yield);
high manganese addition i= ((molten steel C-upper limit-100) target molten steel amount)/(high manganese C content yield);
electrolytic manganese= ((target Mn-residual Mn-ferrophosphorus Mn-manganese carbon sphere Mn-high manganese Mn) = target molten steel amount)/(electrolytic manganese content. Yield).
The steelmaking alloy batching method based on low-cost measurement has the beneficial effects that: the steelmaking alloy ingredients are changed from manual experience to automatic calculation of alloy proportions based on low-cost calculation, so that the alloy cost is greatly reduced, and low-cost and high-benefit production is realized. The operators weigh the alloy according to the optimal ratio automatically analyzed, so that the operation burden is reduced, and the field operation efficiency is effectively improved; and the effective control of the proportion of auxiliary materials is realized, and the corresponding proportion of the raw materials is optimized in real time.
The content parameters of key elements are adjusted by combining the factors such as the price of the iron alloy, the quality requirement of the steel, the adjustment of the field process and the like, secondary correction can be carried out, and low-cost steelmaking alloy ingredients are analyzed, so that the proportion of the steelmaking alloy is dynamically calculated, and high-quality steel is produced; and the cost of the iron alloy in the next month can be reliably predicted, the future fluctuation trend can be mastered, the control of the iron alloy cost is facilitated, and the comprehensive steelmaking alloy cost management is realized. Therefore, has extremely strong popularization value.
Drawings
The application will be described in further detail with reference to the accompanying drawings and detailed description.
FIG. 1 is a schematic flow chart of the method.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
According to one aspect of the present application, as shown in FIG. 1, there is provided a steelmaking alloy batching method based on low cost measurement, comprising the steps of:
first, calculating the optimal cost performance of the manganese alloy
And calculating material cost, temperature cost, iron-containing cost, carbon-containing cost and silicon-containing cost according to the price of the manganese alloy, analyzing the alloy with high cost performance of the manganese alloy, and setting the input ratio.
Secondly, calculating the using amount of the alloy such as copper, nickel, molybdenum and the like of the converter
The ingredients of copper plate, nickel plate, ferromolybdenum, ferrochrome, ferrophosphorus and ferrosilicon are calculated by the target ingredients of elements, target molten steel amount, element content and alloy yield.
Thirdly, calculating the dosage of carbon powder and manganese carbon balls of the converter
Manganese carbon sphere dosage i= ((target C-ferrophosphorus increase C-ferrochromium increase C-X-high rapid increase C)/(target molten steel amount)/(manganese carbon sphere C content X yield);
carbon powder usage= ((target middle limit of C-ferrophosphorus increase amount of C-ferrochromium increase amount of C-residual C-high manganese increase amount of C) ((1-charge ratio) ×target molten steel amount of 1000)/(C powder content of C) ×yield).
Fourth step, mn series alloy calculation
Electrolytic manganese= ((target Mn-Mn residue-ferrophosphorus Mn-manganese carbon sphere Mn) ×target steel water amount)/(electrolytic manganese Mn content×yield);
high manganese addition i= ((molten steel C-upper limit-100) target molten steel amount)/(high manganese C content yield);
electrolytic manganese= ((target Mn-residual Mn-ferrophosphorus Mn-manganese carbon sphere Mn-high manganese Mn) = target molten steel amount)/(electrolytic manganese content. Yield).
Examples
After the calculation of each steel grade by the method, the optimal cost is correspondingly achieved, and the product achieves the effects of high quality and low cost.
For example, steel grade AP1055E5, B-al00=300 kg, fb-cao=500 kg, fb-czj=200 kg; the actual batch was B-AL 00=296kg, FB-CAO=525kg, FB-CZJ=302 kg.
Of course, the above description is not intended to limit the application, but rather the application is not limited to the above examples, and variations, modifications, additions or substitutions within the spirit and scope of the application will be within the scope of the application.
Claims (5)
1. The steelmaking alloy batching method based on low-cost measurement is characterized by comprising the following steps of:
s1, calculating the optimal cost performance of the manganese alloy;
s2, calculating the use amount of alloys such as copper, nickel, molybdenum and the like of the converter;
s3, calculating the dosage of carbon powder and manganese carbon spheres of the converter;
s4, calculating Mn series alloy.
2. A low cost, measured steelmaking alloy as claimed in claim 1 wherein: in the step S1, the material cost, the temperature cost, the iron-containing cost, the carbon-containing cost and the silicon-containing cost are calculated according to the price of the manganese alloy, the alloy with high cost performance of the manganese alloy is analyzed, and the input ratio is set.
3. A low cost, measured steelmaking alloy as claimed in claim 1 wherein: in the step S2, the ingredients of the copper plate, the nickel plate, the ferromolybdenum, the ferrochromium, the ferrophosphorus and the ferrosilicon are mainly calculated by the target components of elements, the target molten steel amount, the element content and the alloy yield.
4. A low cost, measured steelmaking alloy as claimed in claim 1 wherein: in the step S3, the manganese carbon sphere dosage i= ((target C-ferrophosphorus increase C-ferrochromium increase C-X-high rapid increase C)/(target steel water amount)/(manganese carbon sphere C content X yield);
carbon powder usage= ((target middle limit of C-ferrophosphorus increase amount of C-ferrochromium increase amount of C-residual C-high manganese increase amount of C) ((1-charge ratio) ×target molten steel amount of 1000)/(C powder content of C) ×yield).
5. A low cost, measured steelmaking alloy as claimed in claim 1 wherein: in S4, electrolytic manganese= ((target Mn-Mn residue-ferrophosphorus Mn-manganese carbon sphere Mn) -target molten steel amount)/(electrolytic manganese Mn-content-yield);
high manganese addition i= ((molten steel C-upper limit-100) target molten steel amount)/(high manganese C content yield);
electrolytic manganese= ((target Mn-residual Mn-ferrophosphorus Mn-manganese carbon sphere Mn-high manganese Mn) = target molten steel amount)/(electrolytic manganese content. Yield).
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| CN202310725070.2A CN116741322A (en) | 2023-06-19 | 2023-06-19 | Steelmaking alloy batching method based on low-cost measurement and calculation |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117708708A (en) * | 2024-02-06 | 2024-03-15 | 北京科技大学 | Quality rating and recommending method for ferroalloy for steel making |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117708708A (en) * | 2024-02-06 | 2024-03-15 | 北京科技大学 | Quality rating and recommending method for ferroalloy for steel making |
| CN117708708B (en) * | 2024-02-06 | 2024-04-12 | 北京科技大学 | Quality rating and recommending method for ferroalloy for steel making |
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