Modeling and simulation method and system for slurry electrolysis process based on key field coupling

Abstract

The present invention provides a method and system for modeling and simulating a slurry electrolysis process based on key field coupling, which relates to the technical field of simulation and emulation of non-ferrous metal smelting processes, including: decomposing a complex multi-field coupling process in a slurry electrolysis cell into multiple links; obtaining the characteristics of the multiple links, and extracting key fields from different links based on the characteristics of the multiple links; performing coupling calculations on the key fields of the multiple links, obtaining key field information from different links, and completing the modeling and simulation of the slurry electrolysis process based on key field coupling. The present invention proposes extracting key fields from a complex slurry electrolysis multi-field system, modeling several parts separately according to different needs, and improving the calculation efficiency of key fields while ensuring calculation accuracy. Using different methods to perform field coupling calculations reduces the difficulty of solving the overall model and improves calculation efficiency. Ultimately, the purpose of accurately describing the flow reaction characteristics in complex multi-fields is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of simulation technology for nonferrous metal smelting processes, and in particular to a method and system for modeling and simulating a slurry electrolysis process based on key field coupling. Background Art

[0002] Slurry electrolysis technology integrates mechanical stirring, solution purification, and electrode reactions within a single tank, achieving a "one-step" metal production process. In a suitable electrolyte system, metal ions in the ore are leached through chemical dissolution, chemical oxidation, and anodic oxidation. The ions migrate to the cathode plate under the influence of the electric field. To improve metal recovery, a diaphragm bag is placed on the outside of the cathode plate. This not only separates the plate from the agitated ore, improving the purity of the precipitated metal, but also helps to recover any fallen metal deposits. By controlling the voltage, selective leaching of metal ions can be achieved. Due to its advantages such as a short process flow, low energy consumption, and controllable ion precipitation, slurry electrolysis is increasingly being used in the treatment of complex ores and electronic waste. However, this process inevitably leads to structural complexity and poor coordination. Clarifying the characteristics and detailed operating rules of each tank component is crucial for improving production efficiency and reducing costs.

[0003] The slurry electrolysis process is a complex system involving electrolyte flow fields, particle concentration fields, component transport fields, and diaphragm stress and strain fields. During production, the stirring paddle creates a highly turbulent flow within the tank, promoting adequate suspension of the ore and component transport. Simultaneously, due to the erosion of the fluid and ore, the diaphragm bag can break after a period of operation. Issues such as dead zones in the tank, suspension uniformity, and diaphragm damage are limiting factors in production. The electrolyte used in slurry electrolysis is typically an HCl system, and during normal operation, the tank temperature can reach approximately 60°C. This highly acidic, highly corrosive system makes it difficult to detect characteristics such as the flow field within the tank, and direct, real-time monitoring of the solid-liquid flow and operating status within the tank is impossible.

[0004] Numerical simulation technology is becoming increasingly applicable in solving and optimizing industrial problems. Currently, there is extensive research on solid-liquid mixing, including the impact of different mixing parameters and process parameters on the suspension effect. This can effectively optimize process design and provide valuable guidance for industrial production. However, most studies have focused on traditional cylindrical stirred tanks, which contain agitators and baffles. The structure is simple, and the flow within the tank is relatively simple. The model can be simplified appropriately and solved directly. The slurry electrolysis process is a complex system involving ore suspension, dissolution, ion deposition, and diaphragm deformation, and direct solutions cannot meet the computational requirements. The tank involves both macroscopic flow scales and microscopic reaction scales, and the computational resources required to solve the coupling between these different scales are enormous. Existing solution methods are limited, making the calculations difficult. Currently, there are few reports on complex tank structures such as slurry electrolysis, which also involve strong acids and highly turbulent systems. Summary of the Invention

[0005] The present invention provides a method and system for modeling and simulating a slurry electrolysis process based on key field coupling, which solves the problems in the prior art of coupling between macroscopic flow scales and microscopic reaction scales in a tank, requiring huge computing resources, and having limited existing solution methods and computational difficulties.

[0006] To solve the above-mentioned purpose, the present invention provides the following technical solution: a method for modeling and simulating a slurry electrolysis process based on key field coupling, characterized in that the steps include:

[0007] S1. Decompose the complex multi-field coupling process in the slurry electrolysis cell into multiple links;

[0008] S2. Obtain features of multiple links and extract key fields of different links based on the features of the multiple links;

[0009] S3. Carry out coupling calculations on the key fields of multiple links and complete the modeling and simulation of the slurry electrolysis process based on key field coupling.

[0010] Preferably, in step S1, the complex multi-field coupling process in the slurry electrolysis cell is disassembled into multiple links, including:

[0011] The complex multi-field coupling process in the slurry electrolysis cell is broken down into five parts: solid-liquid mixing and suspension process, component reaction and diffusion process, diaphragm deformation process under solid-liquid flow, ore dissolution particle size change process, and ion migration and deposition process.

[0012] Preferably, in step S2, the features of multiple links are obtained, and key fields of different links are extracted according to the features of the multiple links, including:

[0013] Extract key fields of solid-liquid mixing and suspension process, including solid-liquid two-phase flow field and concentration field;

[0014] Extract key fields of component reaction and diffusion processes, including flow field, concentration field and component field;

[0015] Extract the key fields of the diaphragm deformation process under solid-liquid flow, including flow field, concentration field, and stress-strain field;

[0016] Extract the key fields of the ore dissolution particle size change process, including flow field and concentration field;

[0017] Extract the key fields of ion migration and deposition process, including electric field.

[0018] Preferably, in step S3, coupling calculation is performed on key fields of multiple links, including:

[0019] Calculate the coupling between solid-liquid two-phase flow field and concentration field during solid-liquid mixing and suspension;

[0020] Calculate the coupling between flow field, concentration field and component field during the reaction and diffusion of components;

[0021] Calculate the coupling between flow field, concentration field, and stress and strain field during the deformation of the diaphragm under solid-liquid flow;

[0022] Calculate the coupling between flow field and concentration field during the process of ore dissolution particle size change;

[0023] Calculate the coupling of electric fields during ion migration and deposition.

[0024] Preferably, the calculation of the coupling between the solid-liquid two-phase flow field and the concentration field during the solid-liquid mixing and suspension process includes:

[0025] Establish a structural model of the stirring paddle, electrode plate, and diaphragm bag, treat the electrode plate and diaphragm bag as baffles, and use multiple coordinate reference systems to deal with the grid problem during stirring;

[0026] The governing equations are solved using a pressure-based steady-state approach;

[0027] Construct the Gidaspow drag model, treat the particles as pseudo-fluids, combine the particle viscosity and particle pressure conditions, and set the residual convergence standard to 10 -3 ;

[0028] The particle concentration field, velocity field, velocity vector distribution, power consumption and other information in different areas are obtained, the areas in the slurry electrolysis cell are divided according to the flow characteristics, and the location of the stirring dead zone is analyzed.

[0029] Preferably, the coupling between the flow field, concentration field, and component field during the reaction and diffusion of the components is calculated, including:

[0030] Convert the solution method of the control equations in the solid-liquid mixing and suspension process into transient state;

[0031] The time step was set to 0.001 s, the flow field was retained, the concentration field was closed, tracers were added, the component transport equation was turned on, and the mixing process was monitored;

[0032] The time corresponding to the tracer dimensionless concentration reaching a range between 0.95 and 1.05 was defined as the mixing time;

[0033] Determine the restrictive locations of flow mixing in slurry electrolysis cells.

[0034] Preferably, the calculation of the coupling between the flow field, concentration field, and stress-strain field during the diaphragm deformation process under solid-liquid flow includes:

[0035] Based on the finite element method and computational fluid dynamics, a direct coupling method is used to solve the deformation of the diaphragm under strong turbulence.

[0036] The calculated flow field during solid-liquid mixing and suspension is obtained, and the results of the fluid domain are loaded into the solid domain through the fluid-solid interface. Fixed constraints are set to analyze the stress and strain field distribution of the diaphragm under different stirring conditions and determine the locations prone to damage.

[0037] Preferably, the calculation of the coupling between the flow field and the concentration field during the change of the particle size of the ore dissolution process includes:

[0038] The particle size distribution of the ore is loaded into the Euler solution framework through the population equilibrium model;

[0039] Convert the solution method of solid-liquid mixing and suspension process into transient state;

[0040] The integral moment method is used to describe the particle distribution, and the dissolution process of the particles is loaded by adding source terms.

[0041] Determine the concentration field distribution characteristics of large and small ore particles in the tank.

[0042] Preferably, calculating the coupling of the electric field during ion migration and deposition includes:

[0043] The particle concentration field distribution information of the characteristic area calculated during the ore dissolution particle size change process is equivalent to the ion concentration distribution, which is loaded into the characteristic area as the initial condition of the ion distribution. The migration process of the ions under the action of the potential difference and the current efficiency are calculated.

[0044] A slurry electrolysis process modeling and simulation system based on key field coupling is used for the above-mentioned slurry electrolysis process modeling and simulation method based on key field coupling, and the system includes:

[0045] The coupling process disassembly module is used to disassemble the complex multi-field coupling process in the slurry electrolysis cell into multiple links;

[0046] A key field extraction module is used to obtain the features of the multiple links and extract key fields from different links according to the features of the multiple links;

[0047] The modeling and simulation module is used to perform coupling calculations on the key fields of the multiple links and complete the modeling and simulation of the slurry electrolysis process based on the coupling of key fields.

[0048] On the one hand, an electronic device is provided, which includes a processor and a memory, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the above-mentioned slurry electrolysis process modeling and simulation method based on key field coupling.

[0049] On the one hand, a computer-readable storage medium is provided, in which at least one instruction is stored. The at least one instruction is loaded and executed by a processor to implement the above-mentioned slurry electrolysis process modeling and simulation method based on key field coupling.

[0050] Compared with the prior art, the above technical solution has at least the following beneficial effects:

[0051] The above solution proposes extracting key fields from the complex multi-field system of slurry electrolysis. Based on different requirements, specific components are modeled separately to improve the computational efficiency of key fields while ensuring accuracy. Different methods are used to couple the fields, reducing the difficulty of solving the overall model and improving computational efficiency. Ultimately, the goal is to accurately describe the flow reaction characteristics within the complex multi-field system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0053] Figure 1 1 is a flow chart of a method for modeling and simulating a slurry electrolysis process based on key field coupling provided by an embodiment of the present invention;

[0054] Figure 2 This is a modeling simulation effect diagram of the slurry electrolysis process provided by an embodiment of the present invention;

[0055] Figure 3 This is a block diagram of a slurry electrolysis process modeling and simulation system based on key field coupling provided by an embodiment of the present invention;

[0056] Figure 4 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] In view of the fact that in the prior art, an HCl system is selected as the electrolyte in the general slurry electrolysis process, and the temperature in the tank can reach about 60°C during normal operation, it is difficult to detect the flow field in the tank in such a high-acid and highly corrosive system, and the solid-liquid flow and operating status in the tank cannot be directly monitored in real time. The present invention provides a slurry electrolysis process modeling and simulation method and system based on key field coupling.

[0059] like Figure 1 As shown, the embodiment of the present invention provides a method for modeling and simulating a slurry electrolysis process based on key field coupling, which can be implemented by electronic equipment. Figure 1 The flowchart of the slurry electrolysis process modeling and simulation method based on key field coupling is shown. The processing flow of the method may include the following steps:

[0060] S101, deconstructing the complex multi-field coupling process in the slurry electrolysis cell into multiple links;

[0061] In a feasible implementation, in step S101, the complex multi-field coupling process in the slurry electrolysis cell is decomposed into multiple links, including:

[0062] The complex multi-field coupling process in the slurry electrolysis cell is broken down into five parts: solid-liquid mixing and suspension process, component reaction and diffusion process, diaphragm deformation process under solid-liquid flow, ore dissolution particle size change process, and ion migration and deposition process.

[0063] In a feasible implementation method, the complex multi-field coupling process in the slurry electrolysis cell is decomposed into multiple links, the key fields involved in the characteristics of different links are extracted, and specific methods are used to perform coupling calculations on the key fields of different links to achieve efficient and accurate analysis of the slurry electrolysis process.

[0064] S102, obtaining features of multiple links, and extracting key fields from different links based on the features of the multiple links;

[0065] In a feasible implementation, in step S102, the features of multiple links are acquired, and key fields of different links are extracted based on the features of the multiple links, including:

[0066] Extract key fields of solid-liquid mixing and suspension process, including solid-liquid two-phase flow field and concentration field;

[0067] Extract key fields of component reaction and diffusion processes, including flow field, concentration field and component field;

[0068] Extract the key fields of the diaphragm deformation process under solid-liquid flow, including flow field, concentration field, and stress-strain field;

[0069] Extract the key fields of the ore dissolution particle size change process, including flow field and concentration field;

[0070] Extract the key fields of ion migration and deposition process, including electric field.

[0071] S103. Perform coupling calculations on key fields of multiple links to complete modeling and simulation of the slurry electrolysis process based on key field coupling.

[0072] In a feasible implementation, in step S103, coupling calculation is performed on key fields of multiple links, including:

[0073] Calculate the coupling between solid-liquid two-phase flow field and concentration field during solid-liquid mixing and suspension;

[0074] Calculate the coupling between flow field, concentration field and component field during the reaction and diffusion of components;

[0075] Calculate the coupling between flow field, concentration field, and stress and strain field during the deformation of the diaphragm under solid-liquid flow;

[0076] Calculate the coupling between flow field and concentration field during the process of ore dissolution particle size change;

[0077] Calculate the coupling of electric fields during ion migration and deposition.

[0078] In one feasible implementation, the coupling between the solid-liquid two-phase flow field and the concentration field during solid-liquid mixing and suspension is calculated, including:

[0079] Establish a structural model of the stirring paddle, electrode plate, and diaphragm bag, treat the electrode plate and diaphragm bag as baffles, and use multiple coordinate reference systems to deal with the grid problem during stirring;

[0080] The governing equations are solved using a pressure-based steady-state approach;

[0081] Construct the Gidaspow drag model, treat the particles as pseudo-fluids, combine the particle viscosity and particle pressure conditions, and set the residual convergence standard to 10 -3 ;

[0082] The particle concentration field, velocity field, velocity vector distribution, power consumption and other information in different areas are obtained, the areas in the slurry electrolysis cell are divided according to the flow characteristics, and the location of the stirring dead zone is analyzed.

[0083] In a feasible implementation method, for the solid-liquid mixing and suspension process in slurry electrolysis, which involves the coupling between the solid-liquid two-phase flow field and the concentration field, only the structural model of the stirring paddle, electrode plate, and diaphragm bag is established for the above process, wherein the electrode plate and diaphragm bag are treated as baffles, and the grid problem in the stirring is handled by a multiple coordinate reference system. The slurry electrolysis process is a continuous and stable production process. The pressure-based steady-state solution of the control equation is used in the simulation calculation, wherein the control equation includes the mass equation, the dynamic equation, the energy equation, the component equation, etc. The forces acting between the solid and liquid phases include lift, drag, volume force, etc., among which the drag plays a major role, and the Gidaspow drag model is used; the particles are treated as pseudo-fluids, and the conditions such as particle viscosity and particle pressure are considered, and the residual convergence criterion is set to 10 -3 Using the above calculation method, we can obtain information such as particle concentration field, velocity field, velocity vector distribution, and power consumption in different areas. We can then divide the areas in the slurry electrolysis cell according to the flow characteristics and analyze the location of the stirring dead zone.

[0084] In one feasible implementation, the coupling between the flow field, concentration field, and species field during the reaction and diffusion of species is calculated, including:

[0085] Convert the solution method of the control equations in the solid-liquid mixing and suspension process into transient state;

[0086] The time step was set to 0.001 s, the flow field was retained, the concentration field was closed, tracers were added, the component transport equation was turned on, and the mixing process was monitored;

[0087] The time corresponding to the tracer dimensionless concentration reaching 0.95-1.05 is defined as the mixing time; the mixing time here is the shortest time to reach the stable state between 0.95-1.05;

[0088] Determine the restrictive locations of flow mixing in slurry electrolysis cells.

[0089] In one feasible implementation, the coupling between the flow field, concentration field, and stress-strain field during the deformation of the diaphragm under solid-liquid flow is calculated, including:

[0090] Based on the finite element method and computational fluid dynamics, a direct coupling method is used to solve the deformation of the diaphragm under strong turbulence.

[0091] The calculated flow field during solid-liquid mixing and suspension is obtained, and the results of the fluid domain are loaded into the solid domain through the fluid-solid interface. Fixed constraints are set to analyze the stress and strain field distribution of the diaphragm under different stirring conditions and determine the locations prone to damage.

[0092] In a feasible implementation manner, the diaphragm bag is made of nylon.

[0093] In one feasible implementation, the calculation of the coupling between the flow field and the concentration field during the change in particle size of the ore dissolution process includes:

[0094] The particle size distribution of the ore is loaded into the Euler solution framework through the population equilibrium model;

[0095] Convert the solution method of solid-liquid mixing and suspension process into transient state;

[0096] The integral moment method is used to describe the particle distribution, and the dissolution process of the particles is loaded by adding source terms.

[0097] Determine the concentration field distribution characteristics of large and small ore particles in the tank.

[0098] In one feasible implementation, actual ore has a certain particle size distribution. In general mixing processes, the average particle size is often used to simplify calculations. To better reflect actual production, the ore particle size distribution is loaded into the Euler solver framework using a population equilibrium model.

[0099] In one feasible implementation, calculating the coupling of the electric field during ion migration and deposition includes:

[0100] The particle concentration field distribution information of the characteristic area calculated during the ore dissolution particle size change process is equivalent to the ion concentration distribution, which is loaded into the characteristic area as the initial condition of the ion distribution. The migration process of the ions under the action of the potential difference and the current efficiency are calculated.

[0101] In a feasible implementation, by calculating the key field coupling of the above-mentioned links, relatively accurate simulation calculation results of different field information can be obtained relatively efficiently, such as Figure 2 shown.

[0102] In the embodiments of the present invention, the beneficial effect is that the complex multi-field process is disassembled, and certain parts are modeled separately according to different needs, thereby improving the computational efficiency of key fields while ensuring computational accuracy. Ultimately, the goal of accurately describing the flow reaction characteristics within the complex multi-field is achieved.

[0103] Figure 3Schematic diagram of a slurry electrolysis process modeling and simulation system based on key field coupling of the present invention. The system 200 is used for the above-mentioned slurry electrolysis process modeling and simulation method based on key field coupling. The system 200 includes:

[0104] The coupling process decomposition module 210 is used to decompose the complex multi-field coupling process in the slurry electrolysis cell into multiple links;

[0105] A key field extraction module 220 is used to obtain the features of the multiple links and extract key fields from different links based on the features of the multiple links;

[0106] The modeling and simulation module 230 is used to perform coupling calculations on the key fields of the multiple links and complete the modeling and simulation of the slurry electrolysis process based on the coupling of the key fields.

[0107] Preferably, the coupling process decomposition module 210 is used to decompose the complex multi-field coupling process in the slurry electrolysis cell into five steps: solid-liquid mixing and suspension process, component reaction and diffusion process, diaphragm deformation process under solid-liquid flow, ore dissolution particle size change process, and ion migration and deposition process;

[0108] Preferably, the key field extraction module 220 is used to extract the key fields of the solid-liquid mixing and suspension process, and the key fields include: solid-liquid two-phase flow field and concentration field;

[0109] Extract key fields of component reaction and diffusion processes, including flow field, concentration field and component field;

[0110] Extract the key fields of the diaphragm deformation process under solid-liquid flow, including flow field, concentration field, and stress-strain field;

[0111] Extract the key fields of the ore dissolution particle size change process, including flow field and concentration field;

[0112] Extract the key fields of ion migration and deposition process, including electric field.

[0113] Preferably, the modeling and simulation module 230 is used to calculate the coupling between the solid-liquid two-phase flow field and the concentration field during the solid-liquid mixing and suspension process;

[0114] Calculate the coupling between flow field, concentration field and component field during the reaction and diffusion of components;

[0115] Calculate the coupling between flow field, concentration field, and stress and strain field during the deformation of the diaphragm under solid-liquid flow;

[0116] Calculate the coupling between flow field and concentration field during the process of ore dissolution particle size change;

[0117] Calculate the coupling of electric fields during ion migration and deposition.

[0118] Preferably, the calculation of the coupling between the solid-liquid two-phase flow field and the concentration field during the solid-liquid mixing and suspension process includes:

[0119] Establish a structural model of the stirring paddle, electrode plate, and diaphragm bag, treat the electrode plate and diaphragm bag as baffles, and use multiple coordinate reference systems to deal with the grid problem during stirring;

[0120] The governing equations are solved using a pressure-based steady-state approach;

[0121] Construct the Gidaspow drag model, treat the particles as pseudo-fluids, combine the particle viscosity and particle pressure conditions, and set the residual convergence standard to 10 -3 ;

[0122] The particle concentration field, velocity field, velocity vector distribution, power consumption and other information in different areas are obtained, the areas in the slurry electrolysis cell are divided according to the flow characteristics, and the location of the stirring dead zone is analyzed.

[0123] Preferably, the coupling between the flow field, concentration field, and component field during the reaction and diffusion of the components is calculated, including:

[0124] Convert the solution method of the control equations in the solid-liquid mixing and suspension process into transient state;

[0125] The time step was set to 0.001 s, the flow field was retained, the concentration field was closed, tracers were added, the component transport equation was turned on, and the mixing process was monitored;

[0126] The time corresponding to the tracer dimensionless concentration reaching a range between 0.95 and 1.05 was defined as the mixing time;

[0127] Determine the restrictive locations of flow mixing in slurry electrolysis cells.

[0128] Preferably, the calculation of the coupling between the flow field, concentration field, and stress-strain field during the diaphragm deformation process under solid-liquid flow includes:

[0129] Based on the finite element method and computational fluid dynamics, a direct coupling method is used to solve the deformation of the diaphragm under strong turbulence.

[0130] The calculated flow field during solid-liquid mixing and suspension is obtained, and the results of the fluid domain are loaded into the solid domain through the fluid-solid interface. Fixed constraints are set to analyze the stress and strain field distribution of the diaphragm under different stirring conditions and determine the locations prone to damage.

[0131] Preferably, the calculation of the coupling between the flow field and the concentration field during the change of the particle size of the ore dissolution process includes:

[0132] The particle size distribution of the ore is loaded into the Euler solution framework through the population equilibrium model;

[0133] Convert the solution method of solid-liquid mixing and suspension process into transient state;

[0134] The integral moment method is used to describe the particle distribution, and the dissolution process of the particles is loaded by adding source terms.

[0135] Determine the concentration field distribution characteristics of large and small ore particles in the tank.

[0136] Preferably, calculating the coupling of the electric field during ion migration and deposition includes:

[0137] The particle concentration field distribution information of the characteristic area calculated during the ore dissolution particle size change process is equivalent to the ion concentration distribution, which is loaded into the characteristic area as the initial condition of the ion distribution. The migration process of the ions under the action of the potential difference and the current efficiency are calculated.

[0138] In the embodiments of the present invention, the beneficial effect is that the complex multi-field process is disassembled, and certain parts are modeled separately according to different needs, thereby improving the computational efficiency of key fields while ensuring computational accuracy. Ultimately, the goal of accurately describing the flow reaction characteristics within the complex multi-field is achieved.

[0139] Figure 4 3 is a schematic diagram of the structure of an electronic device 300 provided in an embodiment of the present invention. The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 301 and one or more memories 302, wherein the memories 302 store at least one instruction, and the at least one instruction is loaded and executed by the processor 301 to implement the following steps of the slurry electrolysis process modeling and simulation method based on key field coupling:

[0140] S1. Decompose the complex multi-field coupling process in the slurry electrolysis cell into multiple links;

[0141] S2. Obtain features of multiple links and extract key fields of different links based on the features of the multiple links;

[0142] S3. Carry out coupling calculations on the key fields of multiple links and complete the modeling and simulation of the slurry electrolysis process based on key field coupling.

[0143] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including instructions. The instructions are executable by a processor in a terminal to implement the above-described method for modeling and simulating a slurry electrolysis process based on key field coupling. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0144] Those skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware, or by a program to instruct the relevant hardware, and the program may be stored in a computer-readable storage medium, which may be a read-only memory, a disk, or an optical disk, etc.

Claims

1. A modeling and simulation method for slurry electrolysis process based on key field coupling, characterized in that: The method steps include: S1. Decompose the complex multi-field coupling process in the slurry electrolysis cell into multiple links; The complex multi-field coupling process in the slurry electrolysis cell is broken down into multiple links, including: The complex multi-field coupling process in the slurry electrolysis cell is decomposed into five steps: solid-liquid mixing and suspension process, component reaction and diffusion process, diaphragm deformation process under solid-liquid flow, ore dissolution particle size change process, and ion migration and deposition process. S2. Acquire features of the multiple links, and extract key fields from different links based on the features of the multiple links; Acquiring features of the multiple links and extracting key fields from different links based on the features of the multiple links, including: Extracting key fields of the solid-liquid mixing and suspension process, the key fields including: solid-liquid two-phase flow field and concentration field; Extracting the key fields of the component reaction and diffusion process, the key fields include: flow field, concentration field and component field; Extracting the key fields of the diaphragm deformation process under the solid-liquid flow, the key fields including: flow field, concentration field and stress-strain field; Extracting the key fields of the ore dissolution particle size change process, the key fields include: flow field and concentration field; Extracting the key fields of the ion migration and deposition process, the key fields include: electric field; S3. Perform coupling calculation on the key fields of the multiple links to complete the modeling and simulation of the slurry electrolysis process based on the coupling of the key fields; The key fields of the multiple links are coupled and calculated, including: Calculating the coupling between the solid-liquid two-phase flow field and the concentration field during the solid-liquid mixing and suspension process; Calculate the coupling between the flow field, concentration field and component field during the reaction and diffusion of the components; Calculating the coupling between the flow field, concentration field, and stress and strain field during the diaphragm deformation process under the solid-liquid flow; Calculating the coupling between the flow field and the concentration field during the process of particle size change of the ore dissolution; The coupling of the electric field during the ion migration and deposition process is calculated.

2. The method according to claim 1, characterized in that The calculation of the coupling between the solid-liquid two-phase flow field and the concentration field during the solid-liquid mixing and suspension process includes: Establish a structural model of the stirring paddle, electrode plate, and diaphragm bag, treat the electrode plate and diaphragm bag as baffles, and use multiple coordinate reference systems to deal with the grid problem during stirring; The governing equations are solved using a pressure-based steady-state approach; Construct the Gidaspow drag model, treat the particles as pseudo-fluids, combine the particle viscosity and particle pressure conditions, and set the residual convergence standard to 10 -3 ; The particle concentration field, velocity field, velocity vector distribution, power consumption and other information in different areas are obtained, the areas in the slurry electrolysis cell are divided according to the flow characteristics, and the location of the stirring dead zone is analyzed.

3. The method according to claim 2, characterized in that The calculation of the coupling between the flow field, the concentration field and the component field during the component reaction and diffusion process includes: Converting the method of solving the control equations in the solid-liquid mixing and suspension process into a transient state; The time step was set to 0.001 s, the flow field was retained, the concentration field was closed, tracers were added, the component transport equation was turned on, and the mixing process was monitored; The time corresponding to the tracer dimensionless concentration reaching a range between 0.95 and 1.05 was defined as the mixing time; Determine the restrictive locations of flow mixing in slurry electrolysis cells.

4. The method according to claim 3, characterized in that The calculation of the coupling between the flow field, the concentration field, and the stress-strain field during the diaphragm deformation process under the solid-liquid flow includes: Based on the finite element method and computational fluid dynamics, a direct coupling method is used to solve the deformation of the diaphragm under strong turbulence. The calculated flow field during the solid-liquid mixing and suspension process is obtained, the results of the fluid domain are loaded into the solid domain through the fluid-solid interface, and fixed constraints are set to analyze the stress and strain field distribution of the diaphragm under different stirring conditions to determine the locations prone to damage.

5. The method according to claim 4, characterized in that The calculation of the coupling between the flow field and the concentration field during the change in particle size of the ore dissolution process includes: The particle size distribution of the ore is loaded into the Euler solution framework through the population equilibrium model; Converting the solution method of the solid-liquid mixing and suspension process into a transient state; The integral moment method is used to describe the particle distribution, and the dissolution process of the particles is loaded by adding source terms. Determine the concentration field distribution characteristics of large and small ore particles in the tank.

6. The method according to claim 5, characterized in that The calculating the coupling of the electric field during the ion migration and deposition process includes: The particle concentration field distribution information of the characteristic area calculated during the ore dissolution particle size change process is equivalent to the ion concentration distribution, loaded into the characteristic area as the initial condition of the ion distribution, and the ion migration process and current efficiency under the action of the potential difference are calculated.

7. A slurry electrolysis process modeling and simulation system based on key field coupling, characterized in that: The system is used for the slurry electrolysis process modeling and simulation method based on key field coupling according to any one of claims 1 to 6, and the system includes: The coupling process disassembly module is used to disassemble the complex multi-field coupling process in the slurry electrolysis cell into multiple links; A key field extraction module is used to obtain the features of the multiple links and extract key fields from different links according to the features of the multiple links; The modeling and simulation module is used to perform coupling calculations on the key fields of the multiple links and complete the modeling and simulation of the slurry electrolysis process based on the coupling of key fields.

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