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Molten slag viscosity prediction method based on melt structure analysis

A technology of structure analysis and prediction method, applied in the direction of prediction, analysis of materials, measurement devices, etc., can solve the problems of not considering the viscosity of slag, not having applicability, etc., and achieve the effect of great applicable value and accurate viscosity prediction

Pending Publication Date: 2021-03-26
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the value of the oxygen bond in this equation is only obtained by the formula obtained by Susa et al. by calculating the glass slag refractive index fitting, its reliability has yet to be verified, and the model does not consider Fe 2 o 3 , FeO, P 2 o 5 The influence on the viscosity of slag does not have wide applicability

Method used

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  • Molten slag viscosity prediction method based on melt structure analysis
  • Molten slag viscosity prediction method based on melt structure analysis
  • Molten slag viscosity prediction method based on melt structure analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Sample preparation: choose CaO, SiO 2 、Al 2 o 3 , MgO chemically pure reagent, by changing CaO / SiO 2 Ratio and Al 2 o 3 The samples to be tested were prepared separately and recorded as CSAM1~CSAM5 respectively. The specific components of the experimental slag are shown in Table 1. The specific preparation method is as follows:

[0057] Table 1 CaO-SiO 2 -Al 2 o 3 -MgO system experimental slag composition (mass fraction, %)

[0058]

[0059] 101. Combine CaO and SiO 2 、Al 2 o 3 , MgO pure reagents were calcined at 600°C for later use.

[0060] 102. Weigh 3g of mixed chemical reagents as shown in Table 1, put them into a platinum crucible, and hang them in a high-temperature quenching furnace with a molybdenum wire, then feed 0.8L / min high-purity argon gas, and heat up to the target temperature Keep warm for 2 hours. After the heat preservation is over, loosen the molybdenum wire and complete the water quenching.

[0061] 103. Take out the water-quenched ...

Embodiment 2

[0096] Sample preparation: choose CaO, MgO, SiO 2 , FeC 2 o 4 2H 2 O.P 2 o 5 Chemically pure reagents by changing CaO / SiO 2 Ratio, FeC 2 o 4 2H 2 O and P 2 o 5 The samples to be tested were prepared respectively and recorded as CMSFP1~CMSFP5. The specific components of the experimental slag are shown in Table 2. The specific preparation method is as follows:

[0097] Table 2 CaO-MgO-SiO 2 -Fe x O-P 2 o 5 Composition of experimental slag (mass fraction, %)

[0098]

[0099]

[0100] 101. Combine CaO, MgO, SiO 2 , FeC 2 o 4 2H 2 O.P 2 o 5 Pure reagents were calcined at 600°C for later use.

[0101] 102. Weigh 3g of mixed chemical reagents as shown in Table 2, put them into a platinum crucible, and hang them in a high-temperature quenching furnace with a molybdenum wire, then feed 0.8L / min high-purity argon gas, and heat up to the target temperature Keep warm for 3 hours. After the heat preservation is over, loosen the molybdenum wire and complete the ...

Embodiment 3

[0138] Sample preparation: choose CaO, SiO 2 、Al 2 o 3 , FeC 2 o 4 2H 2 O chemically pure reagent, by changing CaO / SiO 2 Ratio and Fe x O, Al 2 o 3 The samples to be tested were prepared separately and recorded as CSAF1~CSAF10 respectively. The specific components of the experimental slag are shown in Table 3. The specific preparation method is as follows:

[0139] Table 3 CaO-SiO 2 -Al 2 o 3 -Fe x Composition of O-based experimental slag (mass fraction, %)

[0140]

[0141] 101. Combine CaO and SiO 2 、Al 2 o 3 , FeC 2 o 4 2H 2 O pure reagents were calcined at 600°C for later use.

[0142] 102. Weigh 3g of mixed chemical reagents as shown in Table 3, put them into a platinum crucible, and hang them in a high-temperature quenching furnace with a molybdenum wire, then feed 0.8L / min high-purity argon gas, and heat up to the target temperature Keep warm for 3 hours. After the heat preservation is over, loosen the molybdenum wire and complete the water quench...

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Abstract

The invention provides a molten slag viscosity prediction method based on melt structure analysis. The molten slag viscosity prediction method comprises the steps of S1, obtaining the oxygen bond typeand the oxygen bond mole fraction of molten slag to be measured; s2, inputting the oxygen bond type and the oxygen bond molar fraction into a pre-trained molten slag viscosity prediction model, and solving the molten slag viscosity prediction model to obtain a predicted value of the viscosity of the molten slag to be measured, wherein the molten slag viscosity prediction model comprises a moltenslag viscosity prediction equation constructed by considering a flow mechanism of a silicate network structure and combining an oxygen bond type and an oxygen bond molar fraction of molten slag according to an Arrhenius equation. The applicability is wide, and the prediction precision and stability of the slag viscosity are improved.

Description

technical field [0001] The invention relates to the technical field of slag physical properties and melt structure, in particular to a method for predicting slag viscosity based on melt structure analysis. Background technique [0002] In the process of modern iron and steel smelting, slag plays an irreplaceable metallurgical function in the absorption of non-metallic inclusions, deoxidation, desiliconization, desulfurization, dephosphorization, etc. Viscosity, as an important parameter to measure the metallurgical performance of slag, reflects the internal friction force when adjacent fluid layers in slag move relative to each other, and is closely related to element diffusion, slag-steel chemical reaction, gas escape, heat transfer, etc. It affects the reaction rate between slag-steel, flow heat transfer capacity, iron loss and lining life. If the viscosity of the slag is too high, the molten pool will be inactive, the reaction between slag and gold will be slow, the dyna...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G01N11/00G06F30/27G06F17/11G06F113/08
CPCG06Q10/04G01N11/00G06F30/27G06F17/11G06F2113/08
Inventor 闵义张蕊刘承军
Owner NORTHEASTERN UNIV
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