Inter-flow temperature difference prediction method and structure optimization method for multi-flow tundish

A technology of prediction method and optimization method, applied in the direction of design optimization/simulation, instruments, manufacturing tools, etc., can solve the problems of cumbersome prediction process, finding the optimal solution, disadvantage, etc.

Pending Publication Date: 2022-06-17
ANHUI UNIVERSITY OF TECHNOLOGY +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for predicting the temperature difference between streams of a multi-stream tundish. The temperature difference prediction method solves the need to rely on simulation programs in the existing temperature difference prediction, which leads to a cumbersome prediction process and is not conducive to finding the optimal solution. technical issues

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Inter-flow temperature difference prediction method and structure optimization method for multi-flow tundish
  • Inter-flow temperature difference prediction method and structure optimization method for multi-flow tundish
  • Inter-flow temperature difference prediction method and structure optimization method for multi-flow tundish

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] like figure 1 As shown, the temperature difference prediction method includes the following steps:

[0056] S102. Design the experimental scheme of the inner structure of the tundish;

[0057] The purpose of this step is to provide real and effective experimental data for subsequent function fitting. Since the dam mainly affects the flow of molten steel in the tundish, the optimization scheme takes the dam of the tundish as a parameter variable. And in order to improve the accuracy of the later function fitting results, it is necessary to set multiple sets of reasonably dispersed parameter values.

[0058] This embodiment is specifically carried out on a seven-machine seven-strand continuous casting equipment, the width of the dam is 120-450 mm, and the height of the dam is 100-400 mm. Therefore, when designing the experimental scheme, multiple sets of experimental parameter values ​​are taken at equal intervals of 50 mm within this range.

[0059] S104, establish a...

Embodiment 2

[0085] Based on the first fitting function and the second fitting function obtained above, the prediction of the temperature difference between the intermediate flow and the edge flow of the seven-machine seven-strand continuous casting equipment is carried out, and the specific steps are as follows:

[0086] First, set up an optimization plan to keep the slag retaining wall in the tundish inner structure unchanged, and set up 3 and 4 flow retaining dams with a height of 200mm and a width of 450mm;

[0087] Secondly, the water model experiment with the similarity ratio λ=0.51 is carried out, and the stagnation time under the water model is obtained as t 1 = 84; peak time is t 2 =158;

[0088] Finally, set the stagnation time t 1 =84 is substituted into y=a 4 t 1 4 +a 3 t 1 3 +a 2 t 1 2 +a 1 t 1 +a 0 , where a 4 is -0.00114, a 3 is 0.40605, a 2 is -54.15976, a 1 is 3193.67867, a 0 is -70222.5303; the temperature difference between the intermediate flow and th...

Embodiment 3

[0091] Based on the first fitting function and the second fitting function obtained above, the prediction of the temperature difference between the intermediate flow and the edge flow of the seven-machine seven-strand continuous casting equipment is carried out, and the specific steps are as follows:

[0092] First, set the optimization plan to keep the slag retaining wall unchanged in the tundish inner structure. The 3rd and 4th stream dams are set with a height of 400mm and a width of 120mm, and the 2nd and 3rd streams are set with a height of 200mm and a width of 120mm. Dam;

[0093] Secondly, carry out the water model experiment with the similarity ratio λ=0.51, and obtain the stagnation time t under the water model 1 =90; peak time t 2 =103;

[0094] Finally, set the stagnation time t 1 =90 is substituted into y=a 4 t 1 4 +a 3 t 1 3 +a 2 t 1 2 +a 1 t 1 +a 0 , where a 4 is -0.00114, a 3 is 0.40605, a 2 is -54.15976, a 1 is 3193.67867, a 0 is -70222.5303...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

PropertyMeasurementUnit
widthaaaaaaaaaa
heightaaaaaaaaaa
heightaaaaaaaaaa
Login to view more

Abstract

The invention belongs to the technical field of steelmaking continuous casting, and discloses an inter-flow temperature difference prediction method and a structure optimization method of a multi-flow tundish. The prediction method comprises the following steps: designing a tundish experiment scheme; a water model with the similarity ratio of lambda is designed, and stagnation time and peak time are obtained; establishing a numerical simulation model, and obtaining an inter-flow temperature difference; performing polynomial fitting on the inter-flow temperature difference and the stagnation time to obtain a first fitting function; performing polynomial fitting on the inter-convection temperature difference and the peak time to obtain a second fitting function; performing mutual optimization verification on the first fitting function and the second fitting function to obtain a consistent inter-flow temperature difference through the first fitting function and the second fitting function; and calculating to obtain the inter-flow temperature difference of any tundish. According to the prediction method, temperature difference prediction is carried out no longer by means of a simulation calculation program, so that the prediction process is greatly simplified, and the prediction time is saved. The structure optimization method is carried out on the basis of the temperature difference prediction method, so that an optimal optimization scheme can be better obtained.

Description

technical field [0001] The invention relates to the technical field of steelmaking and continuous casting, in particular to a method for predicting temperature difference between streams and a method for optimizing structure of a multi-stream tundish. Background technique [0002] Continuous casting is a new steelmaking process. Compared with traditional die casting, it has the advantages of simple process flow, high metal yield and low energy consumption. [0003] The tundish is an important component of the continuous casting equipment, its inlet is connected to the ladle, and the outlet is connected to the continuous casting mold. There are dams and slag retaining walls in it, which can not only improve the stability of molten steel flow and reduce its impact on the inner wall of the continuous casting mold, but also play an important role in improving the flow of molten steel, controlling the temperature difference of molten steel, and improving casting quality. Especia...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/28G06F30/23G06F30/17B22D41/00B22D11/18G06F111/10G06F113/08G06F119/14G06F119/08
CPCG06F30/28G06F30/23G06F30/17B22D41/00B22D11/18G06F2111/10G06F2113/08G06F2119/14G06F2119/08
Inventor 林倩张立强宋迎前张超杰甘俊杰康欣蕾吴帅李梦飞年义
Owner ANHUI UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products