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Complicated metallurgical process simulation calculation method and system

A technology of process simulation and calculation method, which is applied in the field of process engineering, can solve problems such as high initial value requirements, high dimensionality, and difficulty in knowing analytical properties, so as to achieve the effect of not being precocious and increasing diversity

Active Publication Date: 2021-04-20
CENT SOUTH UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the process of solving the actual optimization problem, the established mathematical model becomes more and more complex, and the dimension is higher and higher, and its analytical properties are often difficult to know. At this time, the traditional deterministic optimization algorithm has higher requirements on the initial value. It is difficult to achieve solutions to these problems
In addition, the number of local optimal solutions tends to increase rapidly when the problem size increases, and it is very challenging to obtain the global optimal solution from a large number of local optimal solutions

Method used

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  • Complicated metallurgical process simulation calculation method and system
  • Complicated metallurgical process simulation calculation method and system
  • Complicated metallurgical process simulation calculation method and system

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Effect test

Embodiment 1

[0042] This embodiment takes copper smelting as an example, and discloses a complex metallurgical process simulation calculation method, such as figure 1 shown, including:

[0043] Step S1, taking the total Gibbs free energy function of the reaction system as the objective function of the mathematical model, and taking the equal mass of various elements in the input and output smelting process system as constraints, to establish a multiphase equilibrium mathematical model.

[0044] In the copper smelting process, the total Gibbs free energy of the reaction system can be calculated by the following formulas (1) and (2):

[0045] G(n,T,P)=G 1 (n,T,P) Matte +G 2 (n,T,P) Slag +G 3 (n,T,P) Gas (1)

[0046]

[0047] In the above formula (1), G(n,T,P), G 1 (n,T,P) Matte , G 2 (n,T,P) Slag , G 3 (n,T,P) Gas are the total Gibbs free energy in the reaction system, and the Gibbs free energy of copper matte phase, slag phase and gas phase, respectively. And in formula (2...

Embodiment 2

[0148] In order to test the performance of the algorithm, the test function of the following formula (23) was selected from the literature, and its function form is similar to the multiphase equilibrium mathematical model type of the copper smelting process designed in this design, which is representative to a certain extent.

[0149]

[0150] where c 1 =-6.089, c 2 =-17.164, c 3 =-34.054,c 4 =-5.914,c 5 =-24.721,c 6 =-14.896, c 7 =-24.100,c 8 =-10.708,c 9 =-26.662,c 10 =-22.179.

[0151] The COPSO algorithm was proposed by Aguirre A H, Zavala A M et al., and the ISRES algorithm was proposed by Runarsson and Yao. It is compared with the test results of HLPSO for the above test functions as shown in Table 1 below.

[0152] Table 1:

[0153]

[0154] The exact solution given in the literature is:

[0155] x*=(0.0407, 0.1477, 0.7832, 0.0013, 0.4853, 0.0007, 0.0274, 0.018, 0.0373, 0.0968)

[0156] However, using HLPSO can converge to the above optimal solution e...

Embodiment 3

[0159] In a domestic copper smelter, the basic parameters in the relevant production practice process were collected, and a multiphase equilibrium mathematical model was established.

[0160] Through production research, the temperature of the matte and slag phase is about 1200°C, while the gas phase temperature is 1300°C; the copper matte phase mainly includes Cu 2 S, Cu, FeS, FeO, Fe 3 o 4 , Pb, PbS, ZnS, As, Sb, Bi and other components; the slag phase mainly includes FeO, Cu 2 S, Cu 2 O, Fe 3 o 4 , FeS, PbO, ZnO, As 2 o 3 , Sb 2 o 3 、 Bi 2 o 3 , SiO 2 , CaO, MgO, Al 2 o 3 and other components; the gas phase mainly includes SO 2 , S 2 , O 2 , N 2 、H 2 O, PbO, PbS, Zn, ZnS, As2, AsO, AsS, SbO, SbS, BiO and other components.

[0161] On the basis of the above, a mathematical model is established through the thermodynamic multiphase equilibrium theory, the optimization objective function and constraint conditions are determined, and the calculation is perform...

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Abstract

The invention relates to the technical field of process engineering, and discloses a complex metallurgical process simulation calculation method and system to quickly obtain the distribution of elements fed into the furnace in each phase when the smelting process reaches equilibrium. The method disclosed by the invention includes: taking the total Gibbs free energy function of the reaction system as the objective function of the mathematical model, and taking the equal mass of various elements in the input and output smelting process system as constraint conditions, establishing a multiphase equilibrium mathematical model , and combined with the mechanical inclusion equation to modify the mathematical model, and then use the particle swarm optimization algorithm to solve the molar number of components in each phase under multiphase equilibrium; the particle swarm algorithm uses the adjacent The speed is updated by the optimal value of the domain, and the speed is updated by using the global optimal value at the iteration boundary point and after; and the update step is obtained according to the current speed to update the position information of the particles, and update the history of the population and particles optimal location.

Description

technical field [0001] The invention relates to the technical field of process engineering, in particular to a complex metallurgical process simulation calculation method and system. Background technique [0002] At present, the multiphase equilibrium calculation of complex systems has been studied more in the design of organic reagent separation processes, such as extraction, distillation and so on. With the advancement of computer technology in hardware and software, multiphase equilibrium calculations involving complex chemical reactions have become possible. In-depth research on the mathematical model of multi-phase and multi-component reaction systems based on thermodynamic principles, and the design of efficient and robust multi-phase equilibrium calculation methods have become an important topic in the field of metallurgy and chemical engineering and have a wide range of applications. The theoretical method of multiphase equilibrium calculation is very important to u...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16C20/10G06N3/00
CPCG06N3/006G16C20/10
Inventor 王亲猛郭学益王松松田庆华
Owner CENT SOUTH UNIV
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