Design method of high-temperature dynamic corrosion experimental device

Abstract

The invention relates to a design method of a high-temperature dynamic corrosion experimental device. The design method comprises the following steps: selecting a plurality of objective functions of the high-temperature dynamic corrosion experimental device; and calculating an optimal solution of each target function in the constraint interval to obtain an optimal parameter set of all the target functions. The design optimization method of the high-speed dynamic corrosion test device has the beneficial effects that a systematic design flow theory is provided, and structural parameters of each device can be optimized, so that the performance of the whole test device achieves the optimal effect.

Description

Technical Field

[0001] The invention relates to the technical field of high-temperature dynamic metal corrosion experimental devices, and in particular to a design method for a high-temperature dynamic corrosion experimental device. Background Art

[0002] In the field of liquid metal corrosion test devices, although there are high-temperature dynamic corrosion test devices, the structural parameter design of each device lacks a systematic design optimization method, resulting in its various performance parameters only meeting the qualified standards and failing to achieve parameter optimization. It is also impossible to comprehensively calculate the optimal parameters of each device in the high-temperature dynamic corrosion test device according to design requirements. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a design method for a high-temperature dynamic corrosion experimental device, optimize the structural parameters of each device, and make the performance of the overall experimental device achieve the best effect.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: a design method of a high temperature dynamic corrosion experimental device, the steps comprising:

[0005] Select multiple objective functions of the high temperature dynamic corrosion test device;

[0006] The optimal solution of each objective function within the constraint interval is calculated to obtain the optimal parameter set of all objective functions.

[0007] The beneficial effects of the present invention are as follows: the proposed design optimization method for a high-speed dynamic corrosion test device not only provides a systematic design process theory, but also can optimize the structural parameters of each device to achieve the best performance of the overall experimental device.

[0008] Based on the above technical solution, the present invention can also be improved as follows.

[0009] Furthermore, the high-temperature dynamic corrosion experimental device comprises: a sealing and heat-insulating device, a sample experimental device, a stirring device, a heat-insulating device, a heating furnace device and a crucible, wherein the crucible is arranged in the heating furnace device and is used to hold high-temperature liquid metal;

[0010] The upper end surface of the heating furnace device is provided with a cover plate, and the heat insulation device is provided between the cover plate and the crucible;

[0011] The sealing and heat-insulating device, the stirring device and the sample experiment device are connected in sequence. The stirring device is arranged to penetrate the thermal insulation device. The stirring device and the sample experiment device extend into the crucible. The end of the sealing and heat-insulating device away from the stirring device is driven by a power transmission device.

[0012] The beneficial effects of adopting the above further scheme are: the high-temperature dynamic corrosion experimental device can simulate the flow of liquid metal in the pipeline, couple multiple corrosion causes, restore the real working conditions, and realize the test of different samples under different working conditions, simplify the experimental process, save time loss, and improve the test efficiency; the high-temperature liquid metal contained in the crucible is heated by the heating furnace device, and the setting of the thermal insulation device effectively reduces the heat loss. The stirring device is used to simulate the test of different flow rate conditions in a stirring manner; the setting of the sealing insulation device ensures the sealing of the experimental device, provides additional safety protection, and can avoid the problem of heat being transferred to the motor through the stirring device and causing the motor to burn out.

[0013] Furthermore, the sample experimental device adopts a cylindrical frame, and a through groove is opened on the cylindrical frame. The through groove is used to place multiple test samples in sequence.

[0014] The beneficial effect of adopting the above further scheme is that the through slots can be flexibly set according to the test requirements, so as to adjust the number and position of samples in time, and different samples can be placed in each through slot, so that multiple groups of different samples can be tested in one experiment, which greatly saves experimental time and resources. By adjusting the number of through slots or the diameter of the cylindrical frame, more test samples can be accommodated, allowing the experimenter to test samples at multiple stirring speeds simultaneously in one experiment, meeting a wider range of experimental needs.

[0015] Furthermore, the sealing and heat-insulating device includes: an outer magnetic rotor, an inner magnetic rotor and an isolation sleeve, the outer magnetic rotor is connected to the power transmission device via a first rotating shaft, the inner magnetic rotor is connected to the stirring device, the isolation sleeve is arranged between the outer magnetic rotor and the inner magnetic rotor, and the bottom of the isolation sleeve is connected to the upper end surface of the cover plate.

[0016] The beneficial effect of adopting the above further scheme is that the setting of the isolation sleeve effectively isolates the direct contact between the outer magnetic rotor and the inner magnetic rotor, forming a closed environment. The setting of the isolation sleeve not only plays a sealing role, but also has a certain heat insulation effect, effectively blocking the heat conduction between the outer magnetic rotor and the inner magnetic rotor, reducing the temperature fluctuation inside the device, thereby improving the accuracy and stability of the experiment. At the same time, the outer magnetic rotor drives the inner magnetic rotor to rotate through magnetic force, realizing contactless torque transmission and improving the safety and stability of the device; the inner magnetic rotor is connected to the stirring device and rotates with the rotation of the outer magnetic rotor, so that the stirring device can evenly stir the liquid metal in the crucible, ensuring the accuracy and reliability of the experimental results.

[0017] Furthermore, the device radius, connecting rod diameter and sample height of the sample experimental device and the static magneto-moment, eddy current heat loss and permanent magnet volume of the sealing and heat-insulating device are selected as the objective function.

[0018] The beneficial effect of adopting the above further scheme is: by optimizing the device radius, a larger vortex depth is prevented, and the immersion degree of the test sample in the liquid metal is ensured, thereby improving the accuracy and reliability of the experiment. It is possible to place more test samples in the axial direction as much as possible, improve the experimental efficiency, and enable more tests at different speeds to be completed within the same experimental cycle. Reasonable connecting rod diameter design can ensure the connection strength between the sample experimental device and the stirring device, prevent connection failure caused by excessive speed or corrosion of liquid metal, and the increase in connecting rod diameter is also conducive to improving the stability of the experiment. By optimizing and controlling the sample height, it is possible to ensure that the position of the test sample in the crucible is optimal, and the corrosion test is simulated more accurately. The three parameters of static magnetostatic torque, eddy current heat loss and permanent magnet volume in the sealed insulation device are mutually constrained. By reducing eddy current heat loss, the energy efficiency of the device can be improved and the operating cost can be reduced. At the same time, reducing eddy current heat loss can also extend the service life of the permanent magnet and improve the reliability and durability of the device. The optimization of the volume of the permanent magnet can reduce the cost and weight of the device while ensuring the static magnetostatic torque.

[0019] Furthermore, the step of calculating the optimal solution of each objective function within the constraint interval to obtain the optimal parameter set of all objective functions includes:

[0020] Calculate each objective function in turn to obtain a calculation result and determine whether the calculation result is within the constraint condition. If it is within the constraint condition, output an optimized value that meets the constraint condition to obtain an optimal parameter set for all objective functions.

[0021] Otherwise, after adjusting the step size of each parameter value in the objective function, recalculate each objective function to obtain a calculation result and determine whether the calculation result is within the constraint condition, until the calculation results of all the objective functions are within the constraint condition.

[0022] The beneficial effect of adopting the above further scheme is: by calculating and judging whether the calculation result of the objective function is within the preset constraints, it is ensured that the optimization parameter results of all objective functions meet the design requirements and limits of the experimental device; at the same time, by optimizing the important parameters, the optimization of other parameters is realized in turn, and finally the overall parameter optimization set of the dynamic corrosion experimental device is obtained, so that the performance of the overall experimental device is optimized. At the same time, the optimization of the most important parameters is placed first, which ensures the optimal solution of the most important parameters and avoids the problem of other optimization algorithms not focusing on optimization. In addition, this optimization process is not only applicable to the currently selected key parameters, but can also be extended to the determination and optimization of other structural parameters in the experimental device. In specific applications, the experimental device can be comprehensively and systematically optimized according to actual needs and experimental conditions to achieve higher performance.

[0023] Further, firstly, the device radius is calculated by parameters, wherein the calculation formula of the device radius is:

[0024]

[0025] Where: T 1 is the torque, t is the time to reach the rated angular velocity, ω is the angular velocity, and m is the mass of the sample experimental device;

[0026] Determine whether the calculation result of the device radius is within the constraint condition, and if it is within the constraint condition, output the optimized value of the device radius that meets the constraint condition, wherein the constraint condition of the device radius is:

[0027] R Max ≤R≤K 1 R Max

[0028] Where: R Max K is the maximum design radius of the device, 1 The allowable error coefficient of the device radius is 1-1.5.

[0029] The beneficial effects of adopting the above further scheme are: the size of the device radius has an important influence on the overall performance of the device. By accurately calculating the device radius and making it meet the constraints, the structure and performance of the device can be optimized; the setting of the constraints allows the device radius to fluctuate within a certain range, so that the design of the device radius is more in line with actual needs, avoiding performance degradation or safety hazards caused by excessive or small size; allowing the consideration of the error coefficient improves the flexibility and practicality of the design.

[0030] Further, on the basis of outputting the optimized value of the device radius, the connecting rod diameter and the sample height are calculated in sequence and it is determined whether the calculation results of the connecting rod diameter and the sample height are within the constraint conditions. If they are within the constraint conditions, the optimized values ​​of the connecting rod diameter and the sample height that meet the constraint conditions are output. The calculation formula of the connecting rod diameter is:

[0031]

[0032] Where: L is the length of the connecting rod, t is the time to reach the rated angular velocity, ω is the angular velocity, m is the mass of the sample experimental device, δ is the deflection of the connecting rod, and I is the elastic modulus;

[0033] The constraints on the connecting rod diameter are:

[0034] D Min ≤D≤K 2 D Min

[0035] Where: D Min K is the minimum design value of the connecting rod diameter, 2 is the allowable error coefficient of the connecting rod diameter, which is 1-1.3;

[0036] On the basis of outputting the optimized value of the connecting rod diameter, the sample height is calculated, and the calculation formula of the sample height is:

[0037]

[0038] Where: H is the height of the sample experimental device, R is the radius of the device, n is the rotation speed, and g is the gravitational acceleration;

[0039] The constraints on the sample height are:

[0040] h Max ≤h≤K 3 h Max

[0041] Where: h Max Design maximum value for sample height, K 3 is the allowable error coefficient of sample height, which is 1-1.3.

[0042] The beneficial effects of adopting the above further scheme are: by optimizing the connecting rod diameter and sample height, it can ensure that the experimental device has higher accuracy and reliability during operation, which helps to improve the reliability of experimental data. The optimized experimental device is more reasonable in structure and more superior in performance. At the same time, it allows the parameter values ​​of the connecting rod diameter and sample height to be adjusted within a certain range, which is more flexible and adaptable, and reduces unnecessary material waste and processing costs on the basis of improving the performance of the experimental device.

[0043] Further, on the basis of outputting the optimized value of the radius of the device, the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet are calculated in sequence and it is determined whether the calculation results of the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet are within the constraint conditions. If they are within the constraint conditions, the optimized values ​​of the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet that meet the constraint conditions are output, wherein the calculation formula of the static magneto torque is:

[0044]

[0045] Where: B r is the residual magnetic induction intensity, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width, l b is the axial width of the permanent magnet;

[0046] The constraint condition of the static magneto torque is:

[0047] T Max ≤T≤K 4 T Max

[0048] Where: T Max K is the maximum design value of the static magnetotorque, 4 is the allowable error coefficient of static magnetotorque, which is 1-2;

[0049] On the basis of outputting the optimized value of the static magnetotorque, the eddy current heat loss is calculated, and the calculation formula of the eddy current heat loss is as follows:

[0050]

[0051] Where: n is the rotation speed, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width, T is the static magnetotorque, ε is the thickness of the isolation sleeve wall, and p is the number of pole pairs;

[0052] The constraint condition of the eddy current heat loss is:

[0053] P Min ≤P≤K 5 P Min

[0054] Where: P Min is the minimum design value of eddy current heat loss, K 5 is the allowable error coefficient of eddy current heat loss, which is 1-1.3;

[0055] On the basis of outputting the optimized value of the eddy current heat loss, the volume of the permanent magnet is calculated. The calculation formula of the volume of the permanent magnet is as follows:

[0056]

[0057] Where: l b is the axial width of the permanent magnet, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width;

[0058] The constraint condition of the permanent magnet volume is:

[0059] V Min ≤V≤K 6 V Min

[0060] Where: V Min K is the minimum design value of permanent magnet volume, 6 is the allowable error coefficient of permanent magnet volume, which is 1-1.5.

[0061] The beneficial effect of adopting the above further scheme is: by optimizing the parameters of static magnetostatic torque, eddy current heat loss and permanent magnet volume, the overall performance of the device can be further improved, and the driving ability and stability of the device can be improved by optimizing the static magnetostatic torque; the eddy current heat loss can be optimized to reduce the loss of the device; the volume of the permanent magnet can be optimized to reduce the volume and weight of the device, and constraints can be set to avoid each parameter exceeding the constraints, which can reduce the risk of device damage or performance degradation due to improper parameters, thereby extending the service life of the device.

[0062] Furthermore, if the calculation result of any of the objective functions is not within the constraint conditions, at least one of the parameter values ​​in the calculation formula of the objective function is increased or decreased by a set step size, the objective function is recalculated to obtain the calculation result, and it is determined whether the calculation result is within the constraint conditions, until the calculation results of all the objective functions are within the constraint conditions, thereby obtaining the optimal parameter set of all the objective functions.

[0063] The beneficial effects of adopting the above further scheme are: by judging in real time whether the calculation result of the objective function meets the constraint conditions, it is possible to ensure that the design parameters that do not meet the requirements are discovered and corrected in time during the design process, thereby improving the accuracy and reliability of the design; by adjusting the parameter values ​​that do not meet the constraint conditions and continuously iterating the calculation, it is possible to gradually approach the optimal solution set, thereby obtaining a more reasonable and efficient design scheme. By setting the step length, the accuracy of the adjustment can be ensured, avoiding excessive or too small adjustments due to too large a step length. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A schematic flow chart of a design method of a high temperature dynamic corrosion experimental device according to an embodiment of the present invention;

[0065] Figure 2 A structural diagram of a high temperature dynamic corrosion test device in one embodiment of the present invention;

[0066] Figure 3 It is an enlarged schematic diagram of a sealing and heat-insulating device in an embodiment of the present invention.

[0067] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0068] 1. Power transmission device; 2. Double-layer heat dissipation device; 3. Sealing and heat insulation device; 4. Sample experimental device; 5. Stirring device; 6. Heat preservation and heat insulation device; 7. Heating furnace device; 8. Crucible; 9. External magnetic rotor; 10. Internal magnetic rotor; 11. Isolation sleeve. DETAILED DESCRIPTION

[0069] The principles and features of the present invention are described below. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0070] The embodiment of the present application provides a design method for a high temperature dynamic corrosion experimental device, which can be executed by a device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a desktop computer, etc., but is not limited thereto.

[0071] like Figure 1 As shown, the present invention provides a design method for a high-temperature dynamic corrosion experimental device, with electronic equipment as the execution body, and the steps include:

[0072] S1: Select multiple objective functions of the high temperature dynamic corrosion experimental device.

[0073] Among them, multiple objective functions are the key structural parameters of each device in the high temperature dynamic corrosion experimental device. By optimizing the key structural parameters, the performance of the overall experimental device can be optimized. It can be imagined that the number of objective functions can be adaptively increased or decreased according to design requirements, and no limitation is made here.

[0074] S2: Calculate the optimal solution of each objective function within the constraint interval and obtain the optimal parameter set of all objective functions.

[0075] In step S2, the constraint interval of each objective function must meet the overall technical requirements of the device to ensure that the size of the relevant objective function is within a reasonable range. The hierarchical sequence method is used to comprehensively calculate the optimal size parameters of the objective function in the high-temperature dynamic corrosion test device based on the principle of priority of important parameters, that is, to distinguish the primary and secondary relationships of the design optimization experimental device, use the optimization idea to solve them one by one, calculate the optimal solution value of each objective function in the interval domain, and repeat the calculation process until the optimization process is completed to obtain the set of optimal parameters.

[0076] The present application proposes a design optimization method for a high-speed dynamic corrosion test device, which not only provides a systematic design process theory, but also can optimize the structural parameters of each device to achieve the best performance of the overall experimental device.

[0077] like Figure 2 As shown, in this embodiment, the high temperature dynamic corrosion experimental device includes: a sealing insulation device 3, a sample experimental device 4, a stirring device 5, a heat preservation and insulation device 6, a heating furnace device 7 and a crucible 8, wherein the heating furnace device 7 is provided with a crucible 8, the crucible 8 is used to hold high temperature liquid metal, and a cover plate is provided on the upper end surface of the heating furnace device 7, and a heat preservation and insulation device 6 is provided between the cover plate and the crucible 8, wherein the cover plate and the heating furnace device 7 are connected by a flange, and a hole is opened in the middle of the flange, so that the stirring device 5 and the sample experimental device 4 can extend into the crucible 8. Specifically, the sealing insulation device 3, the stirring device 5 and the sample experimental device 4 are connected in sequence, and the stirring device 5 is arranged through the heat preservation and insulation device 6, and the end of the sealing insulation device 3 away from the stirring device 5 can be driven by the power transmission device 1. The power transmission device 1 can be used but not limited to a driving motor, etc. A double-layer heat dissipation device 2 is also provided around the sealing insulation device 3 outside the sealing insulation device 3, which is not the focus of protection of this embodiment and is not limited here.

[0078] This high-temperature dynamic corrosion experimental device can simulate the flow of liquid metal in the pipeline, couple multiple corrosion causes, restore the real working conditions, and realize the test of different samples under different working conditions, simplify the experimental process, save time loss, and improve the test efficiency; the high-temperature liquid metal contained in the crucible 8 is heated by the heating furnace device 7, and the setting of the heat insulation device 6 effectively reduces the heat loss. The stirring device 5 simulates the test of different flow rate conditions in a stirring manner; the setting of the sealing insulation device 3 ensures the sealing of the experimental device, provides additional safety protection, and can avoid the problem of heat being transferred to the motor through the stirring device, causing the motor to burn out.

[0079] like Figure 2 As shown, in a preferred embodiment, the sample experimental device 4 adopts a cylindrical frame, and a through groove is provided on the cylindrical frame, wherein the number of through grooves can be set as needed, and a plurality of test samples are placed in the through grooves. In the present embodiment, a sample groove is vertically placed in each through groove, and 5 test samples are placed in each sample groove, wherein the two ends of the sample groove can be directly fixed to the through groove by fasteners or buckles. It can be imagined that different samples can be placed in the through groove to achieve the effect of completing multiple groups of different sample tests in one experiment, and the number of through grooves or the diameter of the cylindrical frame can also be adaptively increased to increase the number of test samples that can be placed, so as to achieve the experimental effect of completing various samples at various stirring speeds in one experiment.

[0080] In this embodiment, the through slots can be flexibly set according to the test requirements, so as to adjust the number and position of samples in time, and different samples can be placed in each through slot, so that multiple groups of different samples can be tested in one experiment, which greatly saves experimental time and resources. By adjusting the number of through slots or the diameter of the cylindrical frame, more test samples can be accommodated, allowing the experimenter to test samples at multiple stirring speeds simultaneously in one experiment, meeting a wider range of experimental needs.

[0081] like Figure 2 As shown, in the preferred solution, the sealing and heat-insulating device 3 includes: an outer magnetic rotor 9, an inner magnetic rotor 10 and an isolation sleeve 11. Specifically, the outer magnetic rotor 9 is connected to the power transmission device 1 through the first rotating shaft; the inner magnetic rotor 10 is connected to the stirring device 5, and the isolation sleeve 11 is arranged between the outer magnetic rotor 9 and the inner magnetic rotor 10, wherein the lower part of the isolation sleeve 11 is directly connected to the upper end surface of the cover plate. During operation, the first rotating shaft is driven to rotate by the power transmission device 1, thereby driving the outer magnetic rotor 9 to rotate, and the inner magnetic rotor 10 is driven to rotate under the action of magnetic force, and finally the stirring device 5 and the sample experimental device 4 are driven to rotate together.

[0082] In the above scheme, the setting of the isolation sleeve 11 effectively isolates the direct contact between the outer magnetic rotor 9 and the inner magnetic rotor 10, forming a closed environment. The setting of the isolation sleeve 11 not only plays a sealing role, but also has a certain heat insulation effect, effectively blocking the heat conduction between the outer magnetic rotor 9 and the inner magnetic rotor 10, reducing the temperature fluctuation inside the device, thereby improving the accuracy and stability of the experiment. At the same time, the outer magnetic rotor 9 drives the inner magnetic rotor 10 to rotate through the magnetic force, realizing contactless torque transmission and improving the safety and stability of the device; the inner magnetic rotor 10 is connected to the stirring device 5 and rotates with the rotation of the outer magnetic rotor 9, so that the stirring device 5 can evenly stir the liquid metal in the crucible 8, ensuring the accuracy and reliability of the experimental results.

[0083] Since the liquid metal will generate a vortex when the high-speed corrosion test device rotates, the test sample cannot be immersed below the liquid surface. At the same speed, the larger the device radius, the greater the vortex depth. At the same time, the connecting rod diameter also needs to be increased. The larger the device radius, the more test samples can be placed in the axial direction to achieve the test at different speeds. The device radius, connecting rod diameter, and sample height need to be balanced to achieve the optimal parameters. Therefore, in this embodiment, the device radius, connecting rod diameter, and sample height are selected as the objective function for the sample experimental device 4. The device radius refers to the radius of the cylindrical frame of the sample experimental device 4, the connecting rod diameter refers to the diameter of the connecting end of the sample experimental device 4 and the stirring device 5, and the sample height refers to the distance between the test sample and the bottom of the crucible 8.

[0084] Similarly, the static magnetic torque is the most important parameter of the sealing and thermal insulation device 3, but increasing the static magnetic torque requires increasing the volume of the permanent magnet, which leads to increased eddy current heat loss and increases the cost of the sealing and thermal insulation device 3. Therefore, in this embodiment, the static magnetic torque, eddy current heat loss and permanent magnet volume are selected as the objective functions for the sealing and thermal insulation device 3.

[0085] In this embodiment, by optimizing the device radius, a larger vortex depth is prevented, and the immersion degree of the test sample in the liquid metal is ensured, thereby improving the accuracy and reliability of the experiment. It is possible to place more test samples in the axial direction as much as possible, improve the experimental efficiency, and enable more tests at different speeds to be completed within the same experimental cycle. Reasonable connecting rod diameter design can ensure the connection strength between the sample experimental device 4 and the stirring device 5, prevent the connection failure caused by excessive speed or the corrosion of liquid metal, and the increase in the connecting rod diameter is also conducive to improving the stability of the experiment. By optimizing and controlling the sample height, it is possible to ensure that the position of the test sample in the crucible 8 is optimal, and the corrosion test is simulated more accurately. The three parameters of static magnetotorque, eddy current heat loss and permanent magnet volume in the sealing and heat-insulating device 3 are mutually constrained. By reducing eddy current heat loss, the energy efficiency of the device can be improved and the operating cost can be reduced. At the same time, reducing eddy current heat loss can also extend the service life of the permanent magnet and improve the reliability and durability of the device. The optimization of the volume of the permanent magnet can reduce the cost and weight of the device while ensuring the static magnetotorque.

[0086] Step S2 specifically includes the following steps:

[0087] S21: Calculate each objective function in turn to obtain a calculation result and determine whether the calculation result is within the constraint condition. If it is within the constraint condition, output the optimized value that meets the constraint condition to obtain the optimal parameter set of all objective functions;

[0088] S22: Otherwise, after adjusting the step size of each parameter value in the objective function, recalculate each objective function to obtain a calculation result and determine whether the calculation result is within the constraint condition, until the calculation results of all objective functions are within the constraint condition.

[0089] In this embodiment, each objective function needs to be calculated in turn. Specifically, the device radius, connecting rod diameter and sample height are optimized in turn. The device radius is calculated first and it is determined whether the calculation result is within the constraint conditions. Based on the calculation results that satisfy the constraint conditions, the connecting rod diameter and the sample height are calculated and constraint judgments are made in turn; or based on the optimization result of the device radius, the required torque is calculated, and the static magnetic torque, eddy current heat loss and permanent magnet volume parameters of the sealing and thermal insulation device 3 are optimized according to the torque required by the sample experimental device 4. The static magnetic torque, eddy current heat loss and permanent magnet volume are calculated in turn and constraint judgments are made, until the calculation results of all objective functions are within the constraint conditions, the optimal parameter set of all objective functions is obtained, thereby realizing the optimization of the device structure parameters. On the basis of these parameters, the performance of the overall experimental device can achieve the best effect. At the same time, the optimization of the most important parameters is given first, which ensures the optimal solution of the most important parameters and avoids the problem of lack of focus in other optimization algorithms. It can be imagined that the structural parameters of other devices in the high-temperature dynamic corrosion experimental device can be determined and optimized based on the above-mentioned optimal parameter set to optimize the overall performance of the experimental device. In this embodiment, only key parameters are selected as examples for optimization design, and no further limitations are made here.

[0090] In this embodiment, by calculating and judging whether the calculation result of the objective function is within the preset constraints, it is ensured that the optimization parameter results of all objective functions meet the design requirements and limits of the experimental device; at the same time, by optimizing the important parameters, the optimization of other parameters is realized in turn, and finally the overall parameter optimization set of the dynamic corrosion experimental device is obtained, so that the performance of the overall experimental device is optimized. At the same time, the optimization of the most important parameters is put first, which ensures the optimal solution of the most important parameters and avoids the problem of other optimization algorithms not focusing on optimization. In addition, this optimization process is not only applicable to the currently selected key parameters, but can also be extended to the determination and optimization of other structural parameters in the experimental device. In specific applications, the experimental device can be comprehensively and systematically optimized according to actual needs and experimental conditions to achieve higher performance.

[0091] Specifically, in this embodiment, the device radius is firstly calculated by parameters, wherein the calculation formula of the device radius is:

[0092]

[0093] Where: T 1 is the torque, t is the time to reach the rated angular velocity, ω is the angular velocity, and m is the mass of the sample experimental device;

[0094] Based on the calculation result of the device radius, it is determined whether the calculation result of the device radius is within the constraint condition. If it is within the constraint condition, the optimized value of the device radius is output, and the optimized value is the calculation result of the device radius. The constraint condition of the device radius is:

[0095] R Max ≤R≤K 1 R Max

[0096] Where: R Max K is the maximum design radius of the device, 1 It is the allowable error coefficient of the device radius, which can be taken as 1-1.5.

[0097] The allowable error coefficient of the device radius is limited to the reference value range according to the actual design requirements. The objective function that has a positive effect on the performance of the experimental device can appropriately increase its allowable error coefficient, and the objective function that has a negative effect on the experimental device can appropriately reduce its allowable error coefficient; the allowable error coefficients of other objective functions are the same and are not repeated here.

[0098] In the above steps, the size of the device radius has an important influence on the overall performance of the device. By accurately calculating the device radius and making it meet the constraints, the structure and performance of the device can be optimized. The setting of the constraints allows the device radius to fluctuate within a certain range, so that the design of the device radius is more in line with actual needs, avoiding performance degradation or safety hazards caused by excessive or small size. The consideration of the error coefficient is allowed to improve the flexibility and practicality of the design.

[0099] In this embodiment, based on the optimization result of the device radius, the connecting rod diameter and the sample height are calculated in turn and it is determined whether the calculation results of the connecting rod diameter and the calculation results of the sample height are within their respective constraints. If they are within the constraints, the optimized value of the connecting rod diameter and the optimized value of the sample height that meet the constraints are output, wherein the calculation formula of the connecting rod diameter is:

[0100]

[0101] Where: L is the length of the connecting rod, t is the time to reach the rated angular velocity, ω is the angular velocity, m is the mass of the sample experimental device, δ is the deflection of the connecting rod, and I is the elastic modulus;

[0102] Based on the calculation result of the connecting rod diameter, it is determined whether the calculation result of the connecting rod diameter is within the constraint condition. If it is within the constraint condition, the optimized value of the connecting rod diameter is output, and the optimized value is the calculation result of the connecting rod diameter. The constraint condition of the connecting rod diameter is:

[0103] D Min ≤D≤K 2 D Min

[0104] Where: D Min K is the minimum design value of the connecting rod diameter, 2 is the allowable error coefficient of connecting rod diameter, which can be taken as 1-1.3.

[0105] Finally, the sample height parameters are calculated, and the sample height calculation formula is:

[0106]

[0107] Where: H is the height of the sample experimental device, R is the radius of the device, n is the rotation speed, and g is the gravitational acceleration;

[0108] Based on the calculation result of the sample height, determine whether the calculation result of the sample height is within the constraint condition. If it is within the constraint condition, output the optimized value of the sample height, which is the calculation result of the sample height. The constraint condition of the sample height is:

[0109] h Max ≤h≤K 3 h Max

[0110] Where: h Max Design maximum value for sample height, K 3 is the allowable error coefficient of sample height, which can be 1-1.3.

[0111] In the above steps, by optimizing the connecting rod diameter and sample height, it is possible to ensure that the experimental device has higher accuracy and reliability during operation, which helps to improve the reliability of experimental data. The optimized experimental device is more reasonable in structure and has better performance. At the same time, the parameter values ​​of the connecting rod diameter and sample height can be adjusted within a certain range, which is more flexible and adaptable, and reduces unnecessary material waste and processing costs on the basis of improving the performance of the experimental device.

[0112] Similarly, based on the optimized value of the device radius, the static magneto torque, eddy current heat loss, and permanent magnet volume are calculated in turn and it is determined whether the calculation results of the static magneto torque, eddy current heat loss, and permanent magnet volume are within the respective constraints. If they are within the constraints, the optimized value of the static magneto torque, the optimized value of the eddy current heat loss, and the optimized value of the permanent magnet volume that meet the constraints are output. In this embodiment, the required torque is first calculated based on the optimized value of the device radius, and then the static magneto torque is calculated based on the required torque, where the calculation formula of the static magneto torque is:

[0113]

[0114] Where: B r is the residual magnetic induction intensity, r is the average radius of the isolation sleeve, tm is the thickness of the permanent magnet, t g is the working air gap width, l b is the axial width of the permanent magnet;

[0115] Based on the calculation result of the static magneto torque, it is determined whether the calculation result of the static magneto torque is within the constraint condition. If it is within the constraint condition, the optimized value of the static magneto torque is output, and the optimized value is the calculation result of the static magneto torque. The constraint condition of the static magneto torque is:

[0116] T Max ≤T≤K 4 T Max

[0117] Where: T Max K is the maximum design value of the static magnetotorque, 4 is the allowable error coefficient of static magnetotorque, which can be 1-2.

[0118] Secondly, the eddy current heat loss is calculated, and the calculation formula of the eddy current heat loss is as follows:

[0119]

[0120] Where: n is the rotation speed, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width, T is the static magnetotorque, ε is the thickness of the isolation sleeve wall, and p is the number of pole pairs;

[0121] Based on the calculation results of eddy current heat loss, it is determined whether the calculation results of eddy current heat loss are within the constraint conditions. If they are within the constraint conditions, the optimized value of eddy current heat loss is output, and the optimized value is the calculation result of eddy current heat loss. The constraint conditions of eddy current heat loss are:

[0122] P Min ≤P≤K 5 P Min

[0123] Where: P Min is the minimum design value of eddy current heat loss, K 5 is the allowable error coefficient of eddy current heat loss, which can be taken as 1-1.3.

[0124] Finally, the calculation formula for the volume of the permanent magnet is as follows:

[0125]

[0126] Where: l b is the axial width of the permanent magnet, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width;

[0127] Based on the calculation result of the permanent magnet volume, it is determined whether the calculation result of the permanent magnet volume is within the constraint condition. If it is within the constraint condition, the optimized value of the permanent magnet volume is output, and the optimized value is the calculation result of the permanent magnet volume. The constraint condition of the permanent magnet volume is:

[0128] V Min ≤V≤K 6 V Min

[0129] Where: V Min K is the minimum design value of permanent magnet volume, 6 is the allowable error coefficient of permanent magnet volume, which can be 1-1.5.

[0130] In the above steps, the overall performance of the device can be further improved by optimizing the parameters of static magnetostatic torque, eddy current heat loss and permanent magnet volume. The driving ability and stability of the device can be improved by optimizing the static magnetostatic torque; the loss of the device can be reduced by optimizing the eddy current heat loss; the volume of the permanent magnet can be reduced to reduce the size and weight of the device, and constraints can be set to avoid each parameter exceeding the constraints. The risk of device damage or performance degradation due to improper parameters can be reduced, thereby extending the service life of the device.

[0131] In this embodiment, in the order of device radius, connecting rod diameter and sample height, and in the order of device radius, static magnetostatic torque, eddy current heat loss and permanent magnet volume, if the calculation results of the previous objective function are all within the constraints, the calculation of the next objective function is performed in the above order and it is determined whether the calculation results are within the constraints.

[0132] Based on the above sequence, if the calculation result of any objective function is not within the constraints, then the parameter values ​​in the objective function are adjusted to set the step size, each objective function is recalculated to obtain the calculation result, and it is determined whether the calculation result is within the constraints, until the calculation results of all objective functions are within the constraints.

[0133] Taking the device radius as an example, if the calculated result of the device radius is not within the constraint condition, then the parameter value T in the device radius is adjusted. 1 At least one of t, ω or m is set, and after increasing or decreasing the set step size based on its original value, the device radius is recalculated, and it is determined whether the recalculated result is within the constraint condition; the above process is repeated until the calculation result of the device radius is within the constraint condition. The other objective functions are the same and are not repeatedly defined here. In this embodiment, the step size is set to 1mm, and the optimal solution set can be obtained by continuously iterating and finding the objective function combination.

[0134] In the above steps, by judging in real time whether the calculation results of the objective function meet the constraints, it is possible to ensure that the design parameters that do not meet the requirements are discovered and corrected in time during the design process, thereby improving the accuracy and reliability of the design; by adjusting the parameter values ​​that do not meet the constraints and continuously iterating the calculation, it is possible to gradually approach the optimal solution set, thereby obtaining a more reasonable and efficient design solution. By setting the step size, the accuracy of the adjustment can be ensured, avoiding excessive or under-adjustment due to a large step size.

[0135] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A design method for a high temperature dynamic corrosion test device, characterized in that the steps include: Select multiple objective functions of the high temperature dynamic corrosion test device; The optimal solution of each objective function within the constraint interval is calculated to obtain the optimal parameter set of all objective functions.

2. The design method of a high temperature dynamic corrosion test device according to claim 1 is characterized in that: The high-temperature dynamic corrosion experimental device comprises: a sealing and heat-insulating device (3), a sample experimental device (4), a stirring device (5), a heat-insulating device (6), a heating furnace device (7) and a crucible (8); the crucible (8) is arranged in the heating furnace device (7), and the crucible (8) is used to contain high-temperature liquid metal; The upper end surface of the heating furnace device (7) is provided with a cover plate, and the heat insulation device (6) is provided between the cover plate and the crucible (8); The sealing and heat-insulating device (3), the stirring device (5) and the sample experiment device (4) are connected in sequence; the stirring device (5) is arranged to penetrate the heat-insulating device (6); the stirring device (5) and the sample experiment device (4) extend into the crucible (8); and the end of the sealing and heat-insulating device (3) facing away from the stirring device (5) is driven by a power transmission device (1).

3. The design method of a high temperature dynamic corrosion test device according to claim 2 is characterized in that: The sample experimental device (4) adopts a cylindrical frame, and a through groove is opened on the cylindrical frame. The through groove is used to place multiple test samples in sequence.

4. The design method of a high temperature dynamic corrosion test device according to claim 2 is characterized in that: The sealing and heat-insulating device (3) comprises: an outer magnetic rotor (9), an inner magnetic rotor (10) and an isolation sleeve (11); the outer magnetic rotor (9) is connected to the power transmission device (1) via a first rotating shaft; the inner magnetic rotor (10) is connected to the stirring device (5); the isolation sleeve (11) is arranged between the outer magnetic rotor (9) and the inner magnetic rotor (10); and the lower part of the isolation sleeve (11) is connected to the upper end surface of the cover plate.

5. The design method of a high temperature dynamic corrosion test device according to claim 2 is characterized in that: The device radius, connecting rod diameter and sample height of the sample experimental device (4) and the static magnetoelectric moment, eddy current heat loss and permanent magnet volume of the sealing and heat-insulating device (3) are selected as the objective function.

6. The design method of a high temperature dynamic corrosion test device according to claim 5 is characterized in that: The step of calculating the optimal solution of each objective function within the constraint interval to obtain the optimal parameter set of all objective functions comprises: Calculate each objective function in turn to obtain a calculation result and determine whether the calculation result is within the constraint condition. If it is within the constraint condition, output an optimized value that meets the constraint condition to obtain an optimal parameter set for all objective functions. Otherwise, after adjusting the step size of each parameter value in the objective function, recalculate each objective function to obtain a calculation result and determine whether the calculation result is within the constraint condition, until the calculation results of all the objective functions are within the constraint condition.

7. The design method of a high temperature dynamic corrosion test device according to claim 6 is characterized in that: First, the device radius is calculated by parameters, wherein the calculation formula of the device radius is: Where: T1 is the torque, t is the time to reach the rated angular velocity, ω is the angular velocity, and m is the mass of the sample experimental device; Determine whether the calculation result of the device radius is within the constraint condition, and if it is within the constraint condition, output the optimized value of the device radius that meets the constraint condition, wherein the constraint condition of the device radius is: R Max ≤R≤K1R Max Where: R Max is the maximum design value of the device radius, K1 is the allowable error coefficient of the device radius, which is 1-1.

5.

8. The design method of a high temperature dynamic corrosion test device according to claim 7 is characterized in that: On the basis of outputting the optimized value of the device radius, the connecting rod diameter and the sample height are calculated in turn and it is determined whether the calculation results of the connecting rod diameter and the sample height are within the constraint conditions. If they are within the constraint conditions, the optimized values ​​of the connecting rod diameter and the sample height that meet the constraint conditions are output. The calculation formula of the connecting rod diameter is: Where: L is the length of the connecting rod, t is the time to reach the rated angular velocity, ω is the angular velocity, m is the mass of the sample experimental device, δ is the deflection of the connecting rod, and I is the elastic modulus; The constraints on the connecting rod diameter are: D Min ≤D≤K2D Min Where: D Min is the minimum design value of the connecting rod diameter, K2 is the allowable error coefficient of the connecting rod diameter, which is 1-1.3; On the basis of outputting the optimized value of the connecting rod diameter, the sample height is calculated, and the calculation formula of the sample height is: Where: H is the height of the sample experimental device, R is the radius of the device, n is the rotation speed, and g is the gravitational acceleration; The constraints on the sample height are: h Max ≤h≤K3h Max Where: h Max is the maximum design value of sample height, K3 is the allowable error coefficient of sample height, which is 1-1.

3.

9. The design method of a high temperature dynamic corrosion test device according to claim 6 is characterized in that: On the basis of outputting the optimized value of the device radius, the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet are calculated in sequence and it is determined whether the calculation results of the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet are within the constraint conditions. If they are within the constraint conditions, the optimized values ​​of the static magneto torque, the eddy current heat loss, and the volume of the permanent magnet that meet the constraint conditions are output, wherein the calculation formula of the static magneto torque is: Where: B r is the residual magnetic induction intensity, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width, l b is the axial width of the permanent magnet; The constraint condition of the static magneto torque is: T Max ≤T≤K4T Max Where: T Max is the maximum design value of the static magneto torque, K4 is the allowable error coefficient of the static magneto torque, which is 1-2; On the basis of outputting the optimized value of the static magnetotorque, the eddy current heat loss is calculated, and the calculation formula of the eddy current heat loss is as follows: Where: n is the rotation speed, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width, T is the static magnetotorque, ε is the thickness of the isolation sleeve wall, and p is the number of pole pairs; The constraint condition of the eddy current heat loss is: P Min ≤P≤K5P Min Where: P Min is the minimum design value of eddy current heat loss, K5 is the allowable error coefficient of eddy current heat loss, which is 1-1.3; On the basis of outputting the optimized value of the eddy current heat loss, the volume of the permanent magnet is calculated. The calculation formula of the volume of the permanent magnet is as follows: Where: l b is the axial width of the permanent magnet, r is the average radius of the isolation sleeve, t m is the thickness of the permanent magnet, t g is the working air gap width; The constraint condition of the permanent magnet volume is: In Min ≤V≤K6V Min Where: V Min is the minimum design value of the permanent magnet volume, K6 is the allowable error coefficient of the permanent magnet volume, which is 1-1.

5.

10. The design method of a high temperature dynamic corrosion test device according to claim 6, characterized in that: If the calculation result of any of the objective functions is not within the constraint conditions, then at least one of the parameter values ​​in the calculation formula of the objective function is increased or decreased by a set step size, the objective function is recalculated to obtain the calculation result, and it is determined whether the calculation result is within the constraint conditions, until the calculation results of all the objective functions are within the constraint conditions, thereby obtaining the optimal parameter set of all the objective functions.

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