CN103886224A - Method for predicting melting temperature of metallurgical slag - Google Patents
Method for predicting melting temperature of metallurgical slag Download PDFInfo
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- CN103886224A CN103886224A CN201410151008.8A CN201410151008A CN103886224A CN 103886224 A CN103886224 A CN 103886224A CN 201410151008 A CN201410151008 A CN 201410151008A CN 103886224 A CN103886224 A CN 103886224A
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Abstract
The invention belongs to metallurgy technologies and relates to a method for predicting the melting temperature of metallurgical slag (calcium oxide-aluminum oxide-silicon oxide-titanium oxide-magnesium oxide-sodium oxide). The melting temperature of the slag with different components can be quickly and accurately predicted by establishing numerical models between the slag components and the melting temperature of the slag components. According to the method, the mass percent content of each component in the calcium oxide-aluminum oxide-silicon oxide-titanium oxide-magnesium oxide-sodium oxide slag is determined, and then the mass percent content is substituted into the numerical models to compute the melting temperature of the slag. According to the method, the melting temperature of the slag with the different components can be quickly and accurately obtained within a few minutes, so that the smelting process operation can be timely guided, the problems that both time and labor are consumed in the process of detecting the melting temperature of the slag in the actual production and the melting temperature of the slag with the different components can not be timely obtained are effectively solved, and the smelting production efficiency can be improved obviously.
Description
Technical field
The invention belongs to metallurgical technology, relate to a kind of forecast metallurgical slag (CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2o) method of temperature of fusion, by setting up the numerical model between slag composition and its temperature of fusion, can forecast different component slag molten temp fast and accurately.
Background technology
Bayer process red mud contains Fe, Si, Al, Ca and valuable Ti, V, Sc, rare earth element, Ta etc., is a kind of preciousness and abundant secondary resource.Main oxides in red mud is iron oxide and aluminium oxide, and the large percentage that both account for reaches 50% left and right.Adopt the oxides such as retailoring iron-smelting process is processed red mud, and in retailoring process, iron oxide is reduced formation molten iron, the aluminium oxide not being reduced in red mud to form slag.This slag is through sodium carbonate liquor wet-milling stripping, realizes the recovery of Na, Al and obtains the clay-slag of enrichment Ti, Sc and Re; Again take white clay as raw material through the solution after desiliconization deliming, carry scandium with extraction, and then realize the comprehensive utilization of red mud.
In retailoring red mud process, the CaO-Al of formation
2o
3-SiO
2-TiO
2-MgO-Na
2o molten slag requires to have good physicochemical property, as has suitable temperature of fusion, viscosity, surface tension etc.Wherein temperature of fusion is one of important physical character of slag, and on smelting process, operation has very important impact to its height, therefore determines that the temperature of fusion of slag is very important.Because this molten slag is the calcium aluminate slag of high alkalinity high-alumina, slag chemical composition and the traditional metallurgical slag such as blast furnace slag, refining slag are distinguished all to some extent, and the experimental formula of calculating slag molten temp has in the past been not suitable for this slag.And traditional experiment mensuration slag molten temp adopts sample deformation method to carry out conventionally, first through processing slag specimen, pulverizing, sieve in (200 order) and stir, make the small cylinder of Ф 3mm × 3mm, then be placed in high-temperature electric resistance furnace and heat up, highly dropping to two by observing the variation of specimen height, materialsing/temperature is temperature of fusion for the moment.Whole mensuration process steps is more, and sample preparation, intensification fusing time are longer, and analyzing a slag specimen often needs 5,6 hours longer times even, wastes time and energy.In actual production, due to variation former, propellant composition, can cause slag composition to produce fluctuation, and then the temperature of fusion of slag is changed, therefore, forecast rapidly and accurately the temperature of fusion of different component molten slag, thereby the timely and effective smelting process that instructs operates, and has great importance.
Summary of the invention
The object of the invention is for solving how to forecast rapidly and accurately the temperature of fusion of heterogeneity molten slag, and then provide a kind of by setting up numerical model forecast metallurgical slag (CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2o) method of temperature of fusion.
Technical solution of the present invention: a kind of method of forecasting metallurgical slag temperature of fusion, first determine CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2the mass percentage content of each component in O slag, then substitution Numerical modelling slag discharging temperature of fusion.
CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2o slag composition mass percent scope generally exists: CaO45-55%, Al
2o
314-22%, SiO
215-23%, MgO0.5-7%, TiO
21-5%, Na
2o1-5%.According to slag composition scope, adopt Uniform ity Design Method to arrange temperature of fusion determination test scheme (numbering 1-15) in table 1.The feature of uniform Design maximum is testing site can be dispersed in scope of experiment uniformly, thereby can obtain more information with less testing site, can be later stage regretional analysis analysis data are reliably provided comprehensively.Use chemical analysis pure reagent by the test slag of testing program preparation heterogeneity.Each test slag is mixed respectively, grinds, sieved in (200 order) and stirs, finally make respectively the small cylinder of Ф 3mm × 3mm, use the molten fast analyzer of the full-automatic slag melting of RDS-05, adopt sample deformation method, carry out temperature of fusion mensuration.In molten fast analyzer power supply temperature-rise period, the constantly variation of specimen height on view screen, materials and highly drop to two/temperature is temperature of fusion for the moment.Carry out repeating for 3 times experiment, get its mean value, experimental result is in table 1.For its corresponding temperature of fusion measurement result of slag composition in testing program, adopt partial least square method to carry out regretional analysis, and then obtain the numerical model of relation between slag composition and its temperature of fusion.
Numerical model of the present invention is as follows:
y=1436.7645341+0.932782x1+9.482147x2-28.976911x3-0.561699x4+5.583382x5+10.247345x6+0.177352x1*x1+0.227290x2*x2+2.406121x3*x3+2.051196x4*x4-0.064707x5*x5-1.531494x6*x6+0.116161x1*x2-1.125225x1*x3+0.325265x1*x4+0.097226x1*x5-0.301549x1*x6-0.622919x2*x3-2.983188x2*x4-0.968247x2*x5+0.326712x2*x6+2.928034x3*x4+0.566660x3*x5+0.245467x3*x6-2.370043x4*x5-3.373537x4*x6+2.634387x5*x6
In formula: y is temperature of fusion, unit ℃; X1 is CaO, w%; X2 is Al
2o
3, w%; X3 is SiO
2, w%; X4 is TiO
2, w%; X5 is MgO, w%; X6 is Na
2o, w%; W% is mass percent.
By each slag composition of testing program in table 1 (numbering 1-15), the numerical model that substitution the present invention sets up respectively calculates, and result of calculation is in " temperature of fusion of calculating " in table 1.For the accuracy of the numerical model that further checking the present invention sets up, choose respectively 2 groups of slag compositions (checking 1 in table 1 and checking 2) that are different from testing program and carry out temperature of fusion mensuration according to above-mentioned temperature of fusion assay method, the numerical model that simultaneously adopts the present invention to set up calculates, and measures with result of calculation in table 1.The temperature of fusion of measuring by contrast experiment and the temperature of fusion of Numerical modelling of the present invention, can find out that the temperature of fusion numerical value of two kinds of methods is close, also shows the Numerical modelling by setting up, the temperature of fusion of the molten slag that can forecast with unerring accuracy.
Advantage of the present invention is to grasp on the basis of slag composition, numerical model between slag composition and its temperature of fusion that slag composition input is set up calculates, in minutes (prior art needs 5,6 hours), can obtain rapidly and accurately the temperature of fusion of different component slag, thereby instruct in time smelting process operation, efficiently solve in actual production slag molten temp and measure to waste time and energy and can not obtain in time the problem of different component slag molten temp, can significantly improve smelting production efficiency.
Embodiment
Choose the slag composition (being mass percent) that is different from testing program, to utilizing numerical model Accurate Prediction slag molten temp of the present invention to be described further.
Numerical model of the present invention:
y=1436.7645341+0.932782x1+9.482147x2-28.976911x3-0.561699x4+5.583382x5+10.247345x6+0.177352x1*x1+0.227290x2*x2+2.406121x3*x3+2.051196x4*x4-0.064707x5*x5-1.531494x6*x6+0.116161x1*x2-1.125225x1*x3+0.325265x1*x4+0.097226x1*x5-0.301549x1*x6-0.622919x2*x3-2.983188x2*x4-0.968247x2*x5+0.326712x2*x6+2.928034x3*x4+0.566660x3*x5+0.245467x3*x6-2.370043x4*x5-3.373537x4*x6+2.634387x5*x6
In formula: y is temperature of fusion, unit ℃; X1 is CaO, w%; X2 is Al
2o
3, w%; X3 is SiO
2, w%; X4 is TiO
2, w%; X5 is MgO, w%; X6 is Na
2o, w%.
First determine CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2the mass percentage content of each component in O slag, then by the content value substitution Numerical modelling slag discharging temperature of fusion of each component.
Embodiment 1: slag composition is CaO=54.57%, Al
2o
3=16.5%, SiO
2=18.43%, TiO
2=3.40%, MgO=4.50%, Na
2o=2.60%, by Numerical modelling of the present invention, slag molten temp is 1386 ℃.
Embodiment 2: slag composition is CaO=51.25%, Al
2o
3=19.84%, SiO
2=17.32%, TiO
2=4.36%, MgO=3.5%, Na
2o=3.73%, by Numerical modelling of the present invention, slag molten temp is 1371.4 ℃.
Embodiment 3: slag composition is CaO=48.88%, Al
2o
3=22.30%, SiO
2=17.46%, TiO
2=4.36%, MgO=2.50%, Na
2o=4.50%, by Numerical modelling of the present invention, slag molten temp is 1355.3 ℃.
Embodiment 4: slag composition is CaO=52.47%, Al
2o
3=19.84%, SiO
2=18.09%, TiO
2=2.40%, MgO=4.0%, Na
2o=3.20%, by Numerical modelling of the present invention, slag molten temp is 1372.9 ℃.
Within not being described in detail in this instructions, hold for the known prior art of professional and technical personnel in the field.
Table 1 testing program and mensuration and result of calculation
Claims (1)
1. forecast a method for metallurgical slag temperature of fusion, first determine CaO-Al
2o
3-SiO
2-TiO
2-MgO-Na
2the mass percentage content of each component in O slag;
Then substitution Numerical modelling slag discharging temperature of fusion; Numerical model is:
y=1436.7645341+0.932782x1+9.482147x2-28.976911x3-0.561699x4+5.583382x5+10.247345x6+0.177352x1*x1+0.227290x2*x2+2.406121x3*x3+2.051196x4*x4-0.064707x5*x5-1.531494x6*x6+0.116161x1*x2-1.125225x1*x3+0.325265x1*x4+0.097226x1*x5-0.301549x1*x6-0.622919x2*x3-2.983188x2*x4-0.968247x2*x5+0.326712x2*x6+2.928034x3*x4+0.566660x3*x5+0.245467x3*x6-2.370043x4*x5-3.373537x4*x6+2.634387x5*x6
In formula: y is temperature of fusion, unit ℃; X1 is CaO, w%; X2 is Al
2o
3, w%; X3 is SiO
2, w%; X4 is TiO
2, w%; X5 is MgO, w%; X6 is Na
2o, w%; W% is mass percent.
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Cited By (3)
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| CN109541143A (en) * | 2018-11-28 | 2019-03-29 | 西安建筑科技大学 | A kind of prediction technique that the constituent element clinker actual constituent transitivity containing volatilization changes over time |
| CN115044349A (en) * | 2022-04-18 | 2022-09-13 | 江汉大学 | Non-metal abrasive for jet cleaning and preparation method thereof |
| CN117076892A (en) * | 2023-10-13 | 2023-11-17 | 广东美的制冷设备有限公司 | Solder design method, apparatus, and computer-readable storage medium |
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| CN117076892A (en) * | 2023-10-13 | 2023-11-17 | 广东美的制冷设备有限公司 | Solder design method, apparatus, and computer-readable storage medium |
| CN117076892B (en) * | 2023-10-13 | 2024-01-23 | 广东美的制冷设备有限公司 | Solder design method, apparatus, and computer-readable storage medium |
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Application publication date: 20140625 |