Degassing device for air brick of casting launder

Abstract

The invention discloses a casting launder air brick degassing device, and relates to the technical field of hydrogen removal, the casting launder air brick degassing device comprises a heat insulation box, one side of the heat insulation box is connected with a molten aluminum launder through a runner pipe, one side of the molten aluminum launder is connected with a degassing assembly through a bypass pipe, and a hydrogen analyzer is arranged in the runner pipe and the bypass pipe in a penetrating manner; a master control unit is arranged at the top end of the degassing assembly; a plurality of groups of air bricks are arranged in the molten aluminum launder, an argon pipe is arranged at the bottom ends of the plurality of groups of air bricks, and a pressure gauge, an argon control valve and a timer are arranged on the outer side of the argon pipe. When preliminary degassing is executed, argon is sprayed out of the air bricks and becomes argon bubbles distributed in a dispersed mode, preliminary refining degassing is conducted on the casting launder, the initial hydrogen content of molten aluminum entering the degassing assembly can be reduced through preliminary degassing of the air bricks, and therefore the molten aluminum with the lower hydrogen content is obtained; and the molten aluminum subjected to primary degassing enters the degassing assembly to be refined and degassed again, and it is ensured that the hydrogen content in the molten aluminum reaches the standard.

Description

Technical Field

[0001] The invention relates to the technical field of hydrogen removal, in particular to a degassing device for casting flow channel air-permeable bricks. Background Art

[0002] Liquid aluminum refers to aluminum or aluminum alloys in a molten state, usually at high temperatures. This liquid metal is widely used in casting and other metal forming processes, such as die casting and extrusion. In the process of handling molten aluminum, the temperature and impurity content need to be strictly controlled to ensure the quality and performance of the final product. The processing of molten aluminum may involve steps such as degassing, refining and alloying to meet specific industrial application requirements.

[0003] Aluminum rod deep well casting is a casting process in which aluminum liquid at about 720℃ is passed through a mold plate, a shaping graphite ring, a casting machine traction system, and a water spray cooling and crystallization when the ingot head moves downward. In this process, the online degassing during semi-continuous casting is only the degassing of the rotating nozzle of the degassing box, that is, only one-stage degassing.

[0004] At present, the degassing rate of aluminum alloy melt after primary degassing is mostly 40-60%, and the hydrogen content after degassing is mostly ≤0.15ml / 100gAl. The hydrogen content is closely related to the material's strength, plasticity, elongation, fatigue strength and corrosion resistance. For 3C products with high surface requirements, the hydrogen content is also required to be below 0.12ml / 100gAl.

[0005] Therefore, the current primary degassing is insufficient for high-performance and high-surface requirement materials, and it is urgent to further reduce the hydrogen content through pretreatment and other methods to obtain high-performance and high-surface requirement aluminum alloy materials.

[0006] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0007] In order to solve the above problems, the present invention proposes a degassing device for a casting launder air-permeable brick, so as to achieve the purpose of the hydrogen content in the aluminum liquid reaching the standard.

[0008] In order to achieve the above object, the present invention adopts the following technical solution:

[0009] The present invention provides a degassing device for air-permeable bricks of a casting flow trough, comprising an insulation box, one side of the insulation box is connected to an aluminum liquid flow trough through a circulation pipe, one side of the aluminum liquid flow trough is connected to a degassing component through a transfer pipe, a hydrogen analyzer is interspersed inside the circulation pipe and the transfer pipe, and a general control unit is arranged on the top of the degassing component; a plurality of groups of air-permeable bricks are arranged inside the aluminum liquid flow trough, argon pipes are arranged at the bottom ends of the plurality of groups of air-permeable bricks, and a pressure gauge, an argon control valve and a timer are arranged on the outside of the argon pipe.

[0010] Preferably, the general control unit is used to control the driving state of the argon control valve and the degassing component according to the preset algorithm and the hydrogen content data provided by the hydrogen analyzer, so as to realize the analysis and removal of the hydrogen content in the aluminum liquid;

[0011] The overall control unit includes a process data collection module, a hydrogen content comparison module, an argon flow planning module, a degassing demand acquisition module and a degassing component control module;

[0012] The process data collection module is used to receive and store the hydrogen content data in the aluminum liquid, the pressure data during the argon flow process, and the argon flow time provided by the hydrogen analyzer;

[0013] The hydrogen content comparison module is used to calculate the difference between the original hydrogen content of the aluminum liquid and the hydrogen content of the aluminum liquid after argon circulation, and analyze the trend of hydrogen content changes in combination with pressure data and argon circulation time;

[0014] The argon gas circulation planning module is used to determine the optimal circulation pressure and circulation time according to the hydrogen content change trend and the preset optimization algorithm to obtain the argon gas pressure circulation ratio;

[0015] The degassing demand acquisition module is used to use a hydrogen analyzer to obtain the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied, and analyze the degassing demand in combination with the original aluminum liquid hydrogen content;

[0016] The degassing component control module is used to control the driving state of the degassing component after determining the stirring rate and the additive adding rate according to the degassing demand, so as to remove the hydrogen from the aluminum liquid.

[0017] Preferably, the hydrogen content comparison module includes a difference calculation and extraction submodule, a prediction model construction submodule and an impact trend analysis submodule;

[0018] The difference calculation and extraction submodule is used to calculate the difference between the original aluminum liquid hydrogen content and the aluminum liquid hydrogen content data after argon gas circulation, and extract the corresponding circulation time and pressure data when argon gas is circulated;

[0019] The prediction model building submodule is used to build a hydrogen content prediction model based on the difference results and the neural network technology to obtain the predicted correlation between the circulation time and pressure data and the hydrogen content;

[0020] The impact trend analysis submodule is used to combine the hydrogen content with the trend inspection technology to determine the change trend of the hydrogen content.

[0021] Preferably, a hydrogen content prediction model is constructed based on the difference result combined with neural network technology to obtain the hydrogen content under different flow time and pressure data conditions, including:

[0022] The correlation coefficient between the difference result and the pressure data and the argon flow time during the argon flow process is analyzed based on the Pearson coefficient, and the range of the predicted correlation is determined according to the correlation coefficient;

[0023] The pressure data and argon flow time are used as input signals, and the predicted value of hydrogen content is output. The weights and bias values ​​in the neural network are encoded and corrected in combination with the genetic optimization algorithm.

[0024] The neural network structure is obtained based on the coding correction result, and after the number of hidden layers of the neural network structure is set according to the range of the predicted correlation degree, the pressure data and the argon flow time are input into the hidden layer;

[0025] A weight matrix of a hidden layer is obtained based on a bias value of a neural network structure, and a receiving vector is obtained through an input layer in the neural network;

[0026] The final hydrogen content prediction model is determined according to the transfer function corresponding to the receiving vector and the hidden layer, and the hydrogen content under different pressure data and argon flow time conditions is output by the hydrogen content prediction model.

[0027] Preferably, combining the hydrogen content with a trend detection technique to determine the variation trend of the hydrogen content includes:

[0028] The hydrogen content is converted into a continuous variable as a visible distribution, and the original aluminum liquid hydrogen content is used as a reference distribution. The visible distribution is compared with the reference distribution to obtain a relative distribution value;

[0029] Use trend test technology and relative distribution value to construct statistics, approximate the statistics to normal distribution and obtain their variance values, and calculate normal statistics based on the variance values;

[0030] The variation trend of hydrogen content under different pressure data and argon flow time conditions was analyzed according to normal statistics, and the correlation between hydrogen content and pressure and argon flow time was determined based on the variation trend.

[0031] Preferably, the argon gas circulation planning module includes a hydrogen removal amount analysis submodule, a correlation analysis submodule and an optimal ratio determination submodule;

[0032] A hydrogen removal analysis submodule is used to analyze the functional relationship between pressure and argon flow time and hydrogen removal based on the hydrogen content change trend;

[0033] The correlation analysis submodule is used to analyze the strong correlation function between the optimization target and the amount of hydrogen removal by taking the levelization degree as the optimization target and comprehensively considering the original hydrogen content, argon operating cost and argon ventilation rate;

[0034] The optimal ratio determination submodule is used to determine the optimal ratio between the argon gas circulation pressure and the circulation time based on a preset optimization algorithm and a strong correlation function.

[0035] Preferably, the degassing component control module includes a degassing demand acquisition submodule, a driving state determination submodule, a degassing component control submodule and an aluminum liquid hydrogen removal submodule;

[0036] The degassing demand acquisition submodule is used to compare the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied with the original aluminum liquid hydrogen content, and define the difference result as the degassing demand of the degassing component;

[0037] The drive state determination submodule is used to establish a component control model based on the degassing demand, and to change the power control parameters of the drive regulator in combination with the power voltage support to determine the stirring rate and the additive addition rate;

[0038] The degassing component control submodule is used to convert the power control instruction into a driving signal and then perform a pre-processing operation, and analyze the influence of the power control instruction on the zero-sequence circulating current according to the processing result, and drive the degassing component based on the influence result;

[0039] The aluminum liquid hydrogen removal submodule is used to remove the hydrogen in the aluminum liquid according to the driving result of the degassing component.

[0040] Preferably, the component control model is established based on the degassing demand, and the power control parameters of the drive regulator are changed in combination with the power voltage support to determine the stirring rate and the additive addition rate, including:

[0041] Collect the stirring rate and additive adding rate used by the degassing component in the historical degassing process, and obtain the degassing efficiency according to the historical stirring rate and additive adding rate;

[0042] The theoretical rate of the stirring feeder is obtained based on the degassing efficiency, and the leakage compensation rate and compensation rate of the stirring feeder are defined according to the output pressure of the stirring feeder, the viscosity of the aluminum liquid and the elastic modulus of the aluminum liquid;

[0043] Based on the theoretical rate, leakage compensation rate and compensation rate generation component control model corresponding to the stirring and adding device, the initial stirring and adding rate of the stirring and adding device is obtained;

[0044] Analyze the support of power voltage based on the initial stirring and adding rate, determine the voltage level fluctuation state, and evaluate the impact of voltage changes on the operation of the stirring and adding device based on the fluctuation state;

[0045] The power control parameters are obtained by adjusting the initial stirring and adding rate of the stirring and adding device using a differential controller based on the operation influence and the degassing requirement.

[0046] Preferably, a preprocessing operation is performed after converting the power control instruction into a driving signal, and the influence of the power control instruction on the zero-sequence circulating current is analyzed according to the processing result, and the degassing component is driven based on the influence result, including:

[0047] The power control parameter is converted into a driving signal by using a digital-to-analog converter, and after performing a denoising operation on the driving signal, the driving signal is adjusted to position data with uniform intervals;

[0048] The sinusoidal signal and amplitude sequence of the driving signal are obtained based on the adjustment result, and the signal amplitude deviation and orthogonality deviation are corrected according to the obtained result to complete the processing of the driving signal;

[0049] Predicting the zero-sequence circulating current under the action of the stirring adder based on the driving signal, and analyzing the relationship between the zero-sequence command and the driving signal according to the prediction result;

[0050] The driving signal is adjusted based on the relationship result to obtain the driving result of the final stirring and adding device, and the degassing component is driven according to the driving result.

[0051] Preferably, the calculation formula for correcting the signal amplitude deviation is:

[0052]

[0053] The formula for calculating the orthogonality deviation is:

[0054]

[0055] In the formula, δ represents the correction signal amplitude deviation, △p(a,b) represents the total correction time, represents the amplitude ratio, ε represents the orthogonality deviation, l represents the sampling frequency, υ represents the sinusoidal signal, σ represents the amplitude sequence, a ij Indicates the initial stirring and addition rate of the stirring feeder.

[0056] The beneficial effects of the present invention are:

[0057] 1. When the present invention performs preliminary degassing, argon is ejected from the air-permeable bricks and becomes diffusely distributed argon bubbles, and the casting launder is initially refined and degassed. The preliminary degassing of the air-permeable bricks can reduce the original hydrogen content of the aluminum liquid entering the degassing component, thereby obtaining aluminum liquid with a lower hydrogen content. The aluminum liquid that has undergone preliminary degassing enters the degassing component for further refining and degassing to ensure that the hydrogen content in the aluminum liquid meets the standard.

[0058] 2. The present invention uses a hydrogen analyzer and a preset algorithm to accurately control the argon control valve and the degassing component, which can achieve fine process management and improve the quality of aluminum liquid. At the same time, by receiving and storing the hydrogen content and the argon flow pressure, it provides real-time data support, making the later decision-making more scientific and accurate. In combination with the hydrogen content change trend and the argon pressure and flow time determined by the optimization algorithm, the use of argon can be effectively controlled, waste can be reduced, and costs can be reduced. By timely adjusting the stirring rate and the additive addition rate, the production process can be adjusted according to actual needs, thereby improving production efficiency and reaction speed, accurately controlling the hydrogen content and the degassing process, ensuring that the hydrogen content in the aluminum liquid meets the standard, and improving the quality and market competitiveness of the final product. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0060] Figure 1 2 is a schematic structural diagram of a degassing device for a casting flow channel air-permeable brick according to an embodiment of the present invention;

[0061] Figure 2 is a partial schematic diagram of a degassing device for a casting flow channel air-permeable brick according to an embodiment of the present invention;

[0062] Figure 3 The present invention is a block diagram of the principle of a general control unit in a degassing device for a casting flow channel air-permeable brick according to an embodiment of the present invention.

[0063] In the figure:

[0064] 1. Insulation box; 2. Flow pipe; 3. Aluminum liquid flow trough; 4. Transfer pipe; 5. Degassing component; 6. Hydrogen analyzer; 7. General control unit; 701. Process data collection module; 702. Hydrogen content comparison module; 703. Argon flow planning module; 704. Degassing demand acquisition module; 705. Degassing component control module; 8. Breathable brick; 9. Argon pipe; 10. Pressure gauge; 11. Argon control valve; 12. Timer. DETAILED DESCRIPTION

[0065] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0066] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0067] It should be noted that the terms used herein are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that the terms "include" and "have" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0068] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0069] See also Figure 1 and Figure 2 The present invention provides a degassing device for a casting flow trough air brick, comprising an insulation box 1, one side of the insulation box 1 is connected to an aluminum liquid flow trough 3 through a circulation pipe 2, and one side of the aluminum liquid flow trough 3 is connected to a degassing component 5 through a transfer pipe 4. It should be explained that the degassing component 5 includes an agitator and an additive adder in a specific application. Stirring can increase the fluidity of the aluminum liquid and make it easier for hydrogen to escape from the liquid. At the same time, additives are usually used to promote the release of hydrogen or react chemically with hydrogen to form compounds insoluble in the aluminum liquid, further promoting the removal of hydrogen, including salt additives such as sodium chloride and sodium fluoride. These substances can change the surface tension of the aluminum liquid and help the hydrogen escape.

[0070] A hydrogen analyzer 6 is interspersed inside the circulation pipe 2 and the transfer pipe 4, and a general control unit 7 is arranged at the top of the degassing component 5; a plurality of groups of air-permeable bricks 8 are arranged inside the aluminum liquid flow trough 3, and argon pipes 9 are arranged at the bottom ends of the plurality of groups of air-permeable bricks 8, and a pressure gauge 10, an argon control valve 11 and a timer 12 are arranged on the outside of the argon pipe 9.

[0071] Specifically, the air brick 8 is made of high-strength and high-corrosion-resistant refractory material, with periclase as the main crystal phase and a magnesium oxide content of more than 80%. It has high strength and resistance to aluminum liquid impact and corrosion when cast in aluminum alloy. It has sufficient mechanical strength to withstand pressure, ensuring stability and durability during use, and can resist aluminum liquid corrosion, ensuring its air permeability and structural integrity, and can increase the service life of the air brick 8.

[0072] Among them, the hydrogen analyzer 6 can use the Alscan hydrogen analyzer, which is specially designed for measuring the hydrogen content in molten aluminum. It specifically includes a high-temperature resistant probe that can be directly inserted into the aluminum liquid for hydrogen analysis. The aluminum liquid sample is extracted through the probe, and the hydrogen content is analyzed using thermal release gas technology. The direct contact between the probe and the aluminum liquid ensures the representativeness of the sample and the immediacy of the measurement.

[0073] See also Figure 3 In this embodiment, the main control unit 7 is used to control the driving state of the argon control valve 11 and the degassing component 5 according to the preset algorithm and the hydrogen content data provided by the hydrogen analyzer 6, so as to realize the analysis and removal of the hydrogen content in the aluminum liquid;

[0074] The overall control unit 7 includes a process data collection module 701, a hydrogen content comparison module 702, an argon flow planning module 703, a degassing demand acquisition module 704 and a degassing component control module 705;

[0075] The process data collection module 701 is used to receive and store the hydrogen content data in the aluminum liquid, the pressure data during the argon flow process, and the argon flow time provided by the hydrogen analyzer 6.

[0076] Specifically, when receiving and storing the hydrogen content data in the aluminum molten metal, the pressure data in the argon gas circulation process, and the argon gas circulation time provided by the hydrogen analyzer 6, the hydrogen analyzer and the pressure gauge 10 can be used to collect the hydrogen content data in the aluminum liquid and the pressure data in the argon gas circulation process, and the timer 12 can be used to measure the argon gas circulation time, and the data transmission interface such as RS-232, Ethernet, etc. can be used to send the collected data to the main control unit 7. Before receiving the data, ensure that the data format and interface protocol match, and perform necessary data decoding and format conversion.

[0077] The hydrogen content comparison module 702 is used to calculate the difference between the original hydrogen content of the aluminum liquid and the hydrogen content of the aluminum liquid after argon circulation, and analyze the trend of hydrogen content change in combination with pressure data and argon circulation time.

[0078] Specifically, the hydrogen content comparison module 702 includes a difference calculation and extraction submodule, a prediction model construction submodule, and an impact trend analysis submodule;

[0079] The difference calculation and extraction submodule is used to calculate the difference between the original aluminum liquid hydrogen content and the aluminum liquid hydrogen content data after argon gas circulation, and extract the corresponding circulation time and pressure data when argon gas is circulated;

[0080] The prediction model building submodule is used to build a hydrogen content prediction model based on the difference results and the neural network technology to obtain the predicted correlation between the circulation time and pressure data and the hydrogen content;

[0081] The impact trend analysis submodule is used to combine the hydrogen content with the trend inspection technology to determine the change trend of the hydrogen content.

[0082] Among them, when a hydrogen content prediction model is constructed based on the difference result combined with the neural network technology to obtain the hydrogen content under different circulation time and pressure data conditions, the correlation coefficient between the difference result and the pressure data and argon circulation time during the argon circulation process can be analyzed based on the Pearson coefficient, and the range of the prediction correlation can be determined according to the correlation coefficient; the two sets of parameters, pressure data and argon circulation time, are used as input signals, and the hydrogen content prediction value is output, and the weights and bias values ​​in the neural network are coded and corrected in combination with the genetic optimization algorithm; the neural network structure is obtained based on the coding correction result, and after the number of hidden layers of the neural network structure is set according to the range of the prediction correlation, the pressure data and the argon circulation time are input into the hidden layer; the weight matrix of the hidden layer is obtained based on the bias value of the neural network structure, and the weight matrix obtains the receiving vector through the input layer in the neural network; the final hydrogen content prediction model is determined according to the transfer function corresponding to the receiving vector and the hidden layer, and the hydrogen content under different pressure data and argon circulation time conditions is output using the hydrogen content prediction model.

[0083] It should be noted that when combining the hydrogen content with the trend test technology to determine the changing trend of the hydrogen content, the hydrogen content can be converted into a continuous variable as a visible distribution, and the original aluminum liquid hydrogen content is used as a reference distribution, and the visible distribution is compared with the reference distribution to obtain a relative distribution value; the trend test technology and the relative distribution value are used to construct a statistic, and the statistic is approximated to a normal distribution to obtain its variance value, and the normal statistic is calculated based on the variance value; the changing trend of the hydrogen content under different pressure data and argon flow time conditions is analyzed according to the normal statistic, and the correlation between the hydrogen content and the pressure and argon flow time is determined based on the changing trend.

[0084] Suppose that the hydrogen content of the aluminum liquid measured by the hydrogen analyzer 6 before and after the argon flow is 0.32ppm and 0.18ppm respectively, and the corresponding argon flow time is 30 minutes, and the flow pressure is 1.5atm, then the difference in hydrogen content change is: difference = initial hydrogen content - hydrogen content after flow = 0.32ppm-0.18ppm=0.14ppm, and the hydrogen content difference, flow time, and flow pressure are used as training data to construct a feedforward neural network. The input layer has two nodes (flow time and flow pressure), and the output layer has one node (predicted hydrogen content change).

[0085] When determining the correlation between hydrogen content, pressure and argon flow time based on the change trend, the correlation coefficient (Pearson correlation coefficient can be used in this implementation ratio) can be used to measure the linear correlation degree between hydrogen content and pressure and argon flow time variables. The value range is from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.

[0086] The argon gas circulation planning module 703 is used to determine the optimal circulation pressure and circulation time according to the hydrogen content change trend and the preset optimization algorithm to obtain the argon gas pressure circulation ratio.

[0087] Specifically, the argon gas circulation planning module 703 includes a hydrogen removal amount analysis submodule, a correlation analysis submodule, and an optimal ratio determination submodule;

[0088] A hydrogen removal analysis submodule is used to analyze the functional relationship between pressure and argon flow time and hydrogen removal based on the hydrogen content change trend;

[0089] The correlation analysis submodule is used to analyze the strong correlation function between the optimization target and the amount of hydrogen removal by taking the levelization degree as the optimization target and comprehensively considering the original hydrogen content, argon operating cost and argon ventilation rate;

[0090] The optimal ratio determination submodule is used to determine the optimal ratio between the argon gas circulation pressure and the circulation time based on a preset optimization algorithm and a strong correlation function.

[0091] Among them, when analyzing the functional relationship between pressure and argon circulation time and the amount of hydrogen removal based on the trend of hydrogen content changes, statistical methods such as the Pearson correlation coefficient or the Spearman rank correlation coefficient can be used according to the trend of hydrogen content changes to analyze the correlation between pressure and argon circulation time and hydrogen content changes. Based on the correlation obtained from the analysis, a mathematical model is established to describe the relationship between hydrogen content and pressure and argon circulation time.

[0092] At the same time, when taking the leveling degree as the optimization target and comprehensively analyzing the strong correlation function between the optimization target and the hydrogen removal amount by taking the original hydrogen content, argon operating cost and argon ventilation rate into consideration, the leveling degree target can be clarified, and after defining the original hydrogen content, argon operating cost and argon ventilation rate as influencing factors, relevant data can be collected, including hydrogen content change, argon operating cost and ventilation rate data, and appropriate preprocessing can be performed. Based on the collected data, a prediction model is established using statistical or machine learning methods, the strength of the correlation between each variable in the model and the hydrogen removal amount is analyzed, the key influencing factors are identified, and optimization algorithms such as genetic algorithms and particle swarm optimization are applied to find the best combination of argon ventilation rate and operating cost to achieve the leveling degree target.

[0093] When determining the optimal ratio between argon flow pressure and flow time based on the preset optimization algorithm and the strong correlation function, the optimization goal is first clarified, such as maximizing hydrogen removal efficiency and minimizing energy consumption, and operating constraints such as equipment capacity and safety standards are set. A statistical or machine learning method is used to establish a mathematical relationship that describes the hydrogen removal efficiency and the argon flow pressure and time to establish a strong correlation function. A particle swarm optimization algorithm is selected to find the optimal solution. The strong correlation function is used as the objective function, and multiple iterations are performed to find the optimal parameter combination.

[0094] Specifically, assuming that the hydrogen content of the original aluminum liquid is 0.35ppm, the hydrogen content measured before and after the circulation of argon is reduced to 0.28ppm, the pressure test range is from 1atm to 3atm, and the circulation time is from 20 minutes to 60 minutes. The data points (pressure: 1.5atm, circulation time: 30 minutes, hydrogen content reduction: 0.07ppm) are used to establish a functional relationship to determine the relationship between the change in hydrogen content and pressure and time.

[0095] The degree of levelization is defined as a trade-off between hydrogen removal efficiency and cost, where the original hydrogen content, argon operating cost (the cost per minute is set at 0.5 yuan) and argon ventilation rate are key variables. Assuming the argon operating cost is 0.5 yuan per minute, the total cost is calculated as the circulation time multiplied by the unit price. Multivariate analysis (such as multiple linear regression) is used to establish a mathematical model of the reduction in hydrogen content and pressure, circulation time, and operating cost. A genetic algorithm is used to input data including hydrogen content change, pressure and time ranges, and a cost function to solve the optimal combination of pressure and time. The optimal solution is a pressure of 2.2 atm and a circulation time of 45 minutes. It is further predicted that at a pressure of 2.2 atm and a circulation time of 45 minutes, the hydrogen content will be reduced the most (predicted to be 0.11 ppm) and the cost-effectiveness will be optimal (total cost 22.5 yuan).

[0096] The degassing demand acquisition module 704 is used to use the hydrogen analyzer 6 to obtain the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied, and analyze the degassing demand in combination with the original aluminum liquid hydrogen content.

[0097] The degassing component control module 705 is used to control the driving state of the degassing component 5 after determining the stirring rate and the additive adding rate according to the degassing demand, so as to remove the hydrogen in the aluminum liquid.

[0098] Specifically, the degassing component control module 705 includes a degassing demand acquisition submodule, a driving state determination submodule, a degassing component control submodule and an aluminum liquid hydrogen removal submodule;

[0099] The degassing demand acquisition submodule is used to compare the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied with the original aluminum liquid hydrogen content, and define the difference result as the degassing demand of the degassing component 5;

[0100] The drive state determination submodule is used to establish a component control model based on the degassing demand, and to change the power control parameters of the drive regulator in combination with the power voltage support to determine the stirring rate and the additive addition rate;

[0101] The degassing component control submodule is used to convert the power control instruction into a driving signal and then perform a pre-processing operation, and analyze the influence of the power control instruction on the zero-sequence circulating current according to the processing result, and drive the degassing component 5 based on the influence result;

[0102] The aluminum liquid hydrogen removal submodule is used to remove the hydrogen in the aluminum liquid according to the driving result of the degassing component 5.

[0103] Among them, when establishing a component control model based on the degassing demand and changing the power control parameters of the driving regulator in combination with the power voltage support situation to determine the stirring rate and the additive addition rate, the stirring rate and the additive addition rate used by the degassing component 5 in the historical degassing process can be collected, and the degassing efficiency can be obtained based on the historical stirring rate and the additive addition rate; the theoretical rate of the stirring additive is obtained based on the degassing efficiency, and the leakage compensation rate and the compensation rate of the stirring additive are defined according to the output pressure of the stirring additive, the viscosity of the aluminum liquid and the elastic modulus of the aluminum liquid; based on the theoretical rate, leakage compensation rate and compensation rate corresponding to the stirring additive, a component control model is generated to obtain the initial stirring and addition rate of the stirring additive; based on the initial stirring and addition rate, the support situation of the power voltage is analyzed, the voltage level fluctuation state is judged, and the impact of the voltage change on the operation of the stirring additive is evaluated according to the fluctuation state; based on the operation impact and the degassing demand, the initial stirring and addition rate of the stirring additive is adjusted using a differential controller to obtain the power control parameters.

[0104] Specifically, after the power control instruction is converted into a driving signal, a preprocessing operation is performed, and the influence of the power control instruction on the zero-sequence circulating current is analyzed based on the processing result. When the degassing component 5 is driven based on the influence result, the power control parameter can be converted into a driving signal by using a digital-to-analog converter, and after the driving signal is subjected to a denoising operation, the driving signal is adjusted to position data with uniform intervals; based on the adjustment result, the sinusoidal signal and amplitude sequence of the driving signal are obtained, and the signal amplitude deviation and orthogonality deviation are corrected according to the obtained result to complete the processing of the driving signal; based on the driving signal, the zero-sequence circulating current under the action of the stirring additive is predicted, and the relationship between the zero-sequence instruction and the driving signal is analyzed based on the prediction result; based on the relationship result, the driving signal is adjusted to obtain the final driving result of the stirring additive, and the degassing component 5 is driven according to the driving result.

[0105] Assuming that the hydrogen content of the aluminum liquid before and after the application of the argon pressure circulation ratio is 0.25ppm and 0.15ppm respectively, the difference result is a decrease in hydrogen content: 0.25ppm-0.15ppm=0.10ppm, then 0.10ppm is the degassing requirement, and the stirring rate and additive addition rate are determined based on the degassing requirement. Assuming that for every 0.01ppm decrease in hydrogen content, the stirring rate needs to be increased by 50rpm and the additive rate by 2ml / min. For a difference of 0.10ppm, the stirring rate is adjusted to 500rpm and the additive addition rate is adjusted to 20ml / min.

[0106] Based on the power voltage support situation, assuming that the voltage is stable at 240V, the power control parameters are set to require 1.2kW of power to maintain the adjusted stirring and additive rates, and the required current is calculated: Power (W) = Voltage (V) × Current (A), so Current = 1200W / 240V = 5A.

[0107] The calculated power control parameters are converted into driving signals, and preprocessing operations are performed to ensure signal stability. The influence of the power control instructions on the zero-sequence circulating current is analyzed to ensure that there is no adverse interference. The degassing component 5 is driven according to the adjusted parameters to monitor the further removal of hydrogen in the aluminum liquid. It is assumed that after the above operations, the hydrogen content is further reduced to 0.08ppm to verify the degassing effect.

[0108] The calculation formula for correcting the signal amplitude deviation is:

[0109]

[0110] The formula for calculating the orthogonality deviation is:

[0111]

[0112] In the formula, δ represents the correction signal amplitude deviation, △pa,b represents the total correction time corresponding to the stirring control signal a and the adding control signal b, represents the amplitude ratio, ε represents the orthogonality deviation, l represents the sampling frequency, υ represents the sinusoidal signal, σ represents the amplitude sequence, a ij It represents the initial stirring rate i and the addition rate j of the stirring adder.

[0113] In order to facilitate understanding of the above technical solutions of the present invention, the working principle or operation mode of the present invention in the actual process is described in detail below.

[0114] In specific applications, the air brick 8 is installed at the bottom of the aluminum liquid flow trough 3, and the refined gas is high-purity argon with a purity of 99.999%. The high-purity argon is connected to the bottom of the aluminum liquid flow trough 3 from the argon tank through a stainless steel pipe, and is connected to the air brick 8 at the bottom of the aluminum liquid flow trough 3. An argon control valve 11 and a pressure gauge 10 are installed on the argon pipeline. When the aluminum liquid is cast in the insulation box 1, the argon pipeline control valve of the air brick of the aluminum liquid flow trough 3 is opened, and the argon pressure is controlled at 0.05-0.1MPa. The argon is ejected from the air brick 8 and becomes diffusely distributed argon bubbles, which performs preliminary refining and degassing on the aluminum liquid in the flow trough. After the initial The degassed aluminum liquid enters the degassing component 5 for re-refining and degassing. The initial degassing of the air brick 8 can reduce the original hydrogen content of the aluminum liquid entering the degassing box, thereby obtaining aluminum liquid with a lower hydrogen content. At the end of casting, the air brick 8 is in idle mode, and the argon pressure of the air brick 8 is reduced to 0.01-0.02MPa, and a small amount of argon flows out to prevent the air brick from being blocked. When installing the air brick 8, aluminum silicate paper is used as a cushion layer to be installed on the aluminum liquid flow channel 3, and the gaps are filled with refractory mud. The installation requires tightness without aluminum infiltration. When the air brick 8 is damaged and cannot work normally, it is taken out from the aluminum liquid flow channel 3 for replacement.

[0115] After the preliminary degassing is completed using the breathable bricks 8, the main control unit 7 receives and stores the hydrogen content data in the aluminum liquid, the pressure data during the argon circulation process and the argon circulation time provided by the hydrogen analyzer 6, and calculates the difference between the original aluminum liquid hydrogen content and the aluminum liquid hydrogen content data after the argon circulation, and then analyzes the hydrogen content change trend in combination with the pressure data and the argon circulation time.

[0116] After obtaining the trend of hydrogen content change, it is combined with the preset optimization algorithm to obtain the optimal argon pressure circulation ratio, and the hydrogen analyzer 6 is used to obtain the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied, and the degassing demand is analyzed in combination with the original aluminum liquid hydrogen content; after determining the stirring rate and the additive addition rate according to the degassing demand, the driving state of the degassing component 5 is controlled to realize the removal of hydrogen in the aluminum liquid.

[0117] In summary, with the aid of the above-mentioned technical scheme of the present invention, when the present invention performs preliminary degassing, argon is ejected from the air-permeable brick 8 and becomes diffusely distributed argon bubbles, and the aluminum liquid flow channel 3 is initially refined and degassed. The preliminary degassing of the air-permeable brick 8 can reduce the original hydrogen content of the aluminum liquid entering the degassing component 5, thereby obtaining aluminum liquid with a lower hydrogen content. The aluminum liquid that has undergone preliminary degassing enters the degassing component 5 for further refining and degassing to ensure that the hydrogen content in the aluminum liquid meets the standard. The present invention uses a hydrogen analyzer 6 and a preset algorithm to accurately control the argon control valve 11 and the degassing component, which can achieve fine process management and improve the quality of aluminum liquid. At the same time, by receiving and storing the hydrogen content and the argon flow pressure, real-time data support is provided, making later decisions more scientific and accurate. In addition, by combining the hydrogen content change trend and the argon pressure and flow time determined by the optimization algorithm, the use of argon can be effectively controlled, waste can be reduced, and costs can be reduced. By timely adjusting the stirring rate and the additive addition rate, the production process can be adjusted according to actual needs, thereby improving production efficiency and reaction speed, accurately controlling the hydrogen content and the degassing process, ensuring that the hydrogen content in the aluminum liquid meets the standard, and improving the quality and market competitiveness of the final product.

[0118] Those skilled in the art will appreciate that the units, i.e., algorithm steps, of the various examples described in conjunction with this embodiment can be implemented in electronic hardware or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0119] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A degassing device for a casting launder air-permeable brick, comprising an insulation box (1), one side of which is connected to an aluminum liquid launder (3) via a flow pipe (2), characterized in that: One side of the aluminum liquid flow trough (3) is connected to a degassing assembly (5) via a transfer pipe (4), a hydrogen analyzer (6) is interspersed between the flow pipe (2) and the transfer pipe (4), and a general control unit (7) is provided at the top of the degassing assembly (5); A plurality of groups of air-permeable bricks (8) are arranged inside the aluminum liquid flow channel (3), and argon gas pipes (9) are arranged at the bottom ends of the plurality of groups of air-permeable bricks (8). A pressure gauge (10), an argon gas control valve (11) and a timer (12) are arranged on the outside of the argon gas pipe (9).

2. A degassing device for a casting flow channel air-permeable brick according to claim 1, characterized in that: The general control unit (7) is used to control the driving state of the argon control valve (11) and the degassing component (5) according to a preset algorithm and hydrogen content data provided by the hydrogen analyzer (6), so as to analyze and remove the hydrogen content in the aluminum liquid; The overall control unit (7) comprises a process data collection module (701), a hydrogen content comparison module (702), an argon gas circulation planning module (703), a degassing demand acquisition module (704) and a degassing component control module (705); The process data collection module (701) is used to receive and store the hydrogen content data in the aluminum liquid, the pressure data during the argon flow process, and the argon flow time provided by the hydrogen analyzer (6); The hydrogen content comparison module (702) is used to calculate the difference between the original hydrogen content of the aluminum liquid and the hydrogen content of the aluminum liquid after argon circulation, and analyze the change trend of the hydrogen content in combination with the pressure data and the argon circulation time; The argon gas circulation planning module (703) is used to determine the optimal circulation pressure and circulation time according to the hydrogen content change trend and the preset optimization algorithm to obtain the argon gas pressure circulation ratio; The degassing demand acquisition module (704) is used to use the hydrogen analyzer (6) to obtain the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied, and analyze the degassing demand in combination with the original aluminum liquid hydrogen content; The degassing component control module (705) is used to control the driving state of the degassing component (5) after determining the stirring rate and the additive adding rate according to the degassing demand, so as to remove the hydrogen in the aluminum liquid.

3. A degassing device for a casting flow channel air-permeable brick according to claim 2, characterized in that: The hydrogen content comparison module (702) includes a difference calculation and extraction submodule, a prediction model construction submodule and an impact trend analysis submodule; The difference calculation and extraction submodule is used to calculate the difference between the original aluminum liquid hydrogen content and the aluminum liquid hydrogen content data after argon gas circulation, and extract the corresponding circulation time and pressure data when argon gas is circulated; The prediction model building submodule is used to build a hydrogen content prediction model based on the difference result and the neural network technology to obtain the predicted correlation between the circulation time and the pressure data and the hydrogen content; The influence trend analysis submodule is used to combine the hydrogen content with the trend inspection technology to determine the variation trend of the hydrogen content.

4. A degassing device for a casting flow channel air-permeable brick according to claim 3, characterized in that: The hydrogen content prediction model is constructed based on the difference result and the neural network technology to obtain the hydrogen content under different flow time and pressure data conditions, including: The correlation coefficient between the difference result and the pressure data and the argon flow time during the argon flow process is analyzed based on the Pearson coefficient, and the range of the predicted correlation is determined according to the correlation coefficient; The pressure data and argon flow time are used as input signals, and the predicted value of hydrogen content is output. The weights and bias values ​​in the neural network are encoded and corrected in combination with the genetic optimization algorithm. The neural network structure is obtained based on the coding correction result, and after the number of hidden layers of the neural network structure is set according to the range of the predicted correlation degree, the pressure data and the argon flow time are input into the hidden layer; A weight matrix of a hidden layer is obtained based on a bias value of a neural network structure, and a receiving vector is obtained through an input layer in the neural network; The final hydrogen content prediction model is determined according to the transfer function corresponding to the receiving vector and the hidden layer, and the hydrogen content under different pressure data and argon flow time conditions is output by the hydrogen content prediction model.

5. A degassing device for a casting flow channel air-permeable brick according to claim 4, characterized in that: The method of combining hydrogen content with trend inspection technology to determine the variation trend of hydrogen content includes: The hydrogen content is converted into a continuous variable as a visible distribution, and the original aluminum liquid hydrogen content is used as a reference distribution. The visible distribution is compared with the reference distribution to obtain a relative distribution value; Use trend test technology and relative distribution value to construct statistics, approximate the statistics to normal distribution and obtain their variance values, and calculate normal statistics based on the variance values; The variation trend of hydrogen content under different pressure data and argon flow time conditions was analyzed according to normal statistics, and the correlation between hydrogen content and pressure and argon flow time was determined based on the variation trend.

6. A degassing device for a casting flow channel air-permeable brick according to claim 2, characterized in that: The argon gas circulation planning module (703) includes a hydrogen removal amount analysis submodule, a correlation analysis submodule and an optimal ratio determination submodule; The hydrogen removal amount analysis submodule is used to analyze the functional relationship between pressure and argon flow time and hydrogen removal amount based on the hydrogen content change trend; The correlation analysis submodule is used to analyze the strong correlation function between the optimization target and the hydrogen removal amount by taking the levelization degree as the optimization target and comprehensively considering the original hydrogen content, the argon operation cost and the argon ventilation rate; The optimal ratio determination submodule is used to determine the optimal ratio between the argon gas circulation pressure and the circulation time based on a preset optimization algorithm and a strong correlation function.

7. A degassing device for a casting flow channel air-permeable brick according to claim 2, characterized in that: The degassing component control module (705) comprises a degassing demand acquisition submodule, a driving state determination submodule, a degassing component control submodule and an aluminum liquid hydrogen removal submodule; The degassing requirement acquisition submodule is used to compare the difference between the hydrogen content data in the aluminum liquid after the argon pressure circulation ratio is applied and the hydrogen content in the original aluminum liquid, and define the difference result as the degassing requirement of the degassing component (5); The driving state determination submodule is used to establish a component control model based on the degassing demand, and to change the power control parameters of the driving regulator in combination with the power voltage support condition to determine the stirring rate and the additive addition rate; The degassing component control submodule is used to convert the power control instruction into a driving signal and then perform a pre-processing operation, and analyze the influence of the power control instruction on the zero-sequence circulating current according to the processing result, and drive the degassing component (5) based on the influence result; The aluminum liquid hydrogen removal submodule is used to remove hydrogen from the aluminum liquid according to the driving result of the degassing component (5).

8. A degassing device for a casting flow channel air-permeable brick according to claim 7, characterized in that: The component control model is established based on the degassing demand, and the power control parameters of the drive regulator are changed in combination with the power voltage support to determine the stirring rate and the additive addition rate, including: Collecting the stirring rate and the additive adding rate used by the degassing component (5) in the historical degassing process, and obtaining the degassing efficiency according to the historical stirring rate and the additive adding rate; The theoretical rate of the stirring feeder is obtained based on the degassing efficiency, and the leakage compensation rate and compensation rate of the stirring feeder are defined according to the output pressure of the stirring feeder, the viscosity of the aluminum liquid and the elastic modulus of the aluminum liquid; Based on the theoretical rate, leakage compensation rate and compensation rate generation component control model corresponding to the stirring and adding device, the initial stirring and adding rate of the stirring and adding device is obtained; Analyze the support of power voltage based on the initial stirring and adding rate, determine the voltage level fluctuation state, and evaluate the impact of voltage changes on the operation of the stirring and adding device based on the fluctuation state; The power control parameters are obtained by adjusting the initial stirring and adding rate of the stirring and adding device using a differential controller based on the operation influence and the degassing demand.

9. A degassing device for a casting flow channel air-permeable brick according to claim 8, characterized in that: The method of converting the power control instruction into a driving signal and performing a preprocessing operation, and analyzing the influence of the power control instruction on the zero-sequence circulating current according to the processing result, and driving the degassing component (5) based on the influence result comprises: The power control parameter is converted into a driving signal by using a digital-to-analog converter, and after performing a denoising operation on the driving signal, the driving signal is adjusted to position data with uniform intervals; The sinusoidal signal and amplitude sequence of the driving signal are obtained based on the adjustment result, and the signal amplitude deviation and orthogonality deviation are corrected according to the obtained result to complete the processing of the driving signal; Predicting the zero-sequence circulating current under the action of the stirring adder based on the driving signal, and analyzing the relationship between the zero-sequence command and the driving signal according to the prediction result; The driving signal is adjusted based on the relationship result to obtain a final driving result of the stirring and adding device, and the degassing component (5) is driven according to the driving result.

10. A degassing device for a casting flow channel air-permeable brick according to claim 9, characterized in that: The calculation formula for correcting the signal amplitude deviation is: The calculation formula of the orthogonality deviation is: In the formula, δ represents the correction signal amplitude deviation, △p(a,b) represents the total correction time, represents the amplitude ratio, ε represents the orthogonality deviation, l represents the sampling frequency, υ represents the sinusoidal signal, σ represents the amplitude sequence, a ij Indicates the initial stirring and addition rate of the stirring feeder.

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