Air poling method and system for piezoelectric ceramic disc

Abstract

The application provides an air polarization method and system of a piezoelectric ceramic sheet, and relates to the technical field of piezoelectric drivers, and the method comprises the following steps: obtaining a piezoelectric ceramic sheet to be polarized; pretreating the piezoelectric ceramic sheet; heating the pretreated piezoelectric ceramic sheet to a preset temperature range; constructing an air polarization platform; applying an electric field to the heated piezoelectric ceramic sheet to polarize the piezoelectric ceramic sheet according to the air polarization platform; modeling the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet in the polarization process through an artificial neural network; automatically adjusting the electric field intensity and duration of the applied electric field according to the output of the artificial neural network until the piezoelectric properties reach a stable state; obtaining the electric field intensity and duration when the piezoelectric properties reach the stable state; and polarizing the piezoelectric ceramic sheet according to the electric field intensity and duration. The application can avoid the instability in the traditional polarization method and the tediousness of manual adjustment, and significantly improve the performance consistency and production efficiency of the piezoelectric ceramic sheet.

Description

Technical Field

[0001] This invention relates to the field of piezoelectric actuator technology, and in particular to an air polarization method and system for a piezoelectric ceramic sheet. Background Technology

[0002] Piezoelectric ceramic sheets are materials that can generate voltage when subjected to mechanical stress or deform under the action of an applied electric field. Air polarization specifically refers to a particular polarization method in which the polarization of piezoelectric ceramic sheets is accomplished by using air as a medium. A method for air polarization of piezoelectric ceramic sheets refers to the method of polarizing piezoelectric ceramic sheets by passing them through an electric field in the air to improve their piezoelectric properties.

[0003] By polarizing the ceramic sheet in air, it is possible to achieve higher stability and better piezoelectric properties in applications, thereby improving its application effect in practical engineering. This is of great significance for simplifying production processes and reducing environmental pollution.

[0004] However, traditional polarization processes require high temperatures and high electric fields, which can lead to overheating, damage, or uneven polarization of the material, thus affecting performance stability. Secondly, polarization processes often rely on liquids or special media, increasing process complexity and cost. Furthermore, traditional methods lack precise control over the polarization process, potentially preventing the piezoelectric properties of the piezoelectric ceramic sheet from reaching their optimal state, and polarization parameters often require manual adjustment, lacking automation and intelligent control. Summary of the Invention

[0005] To address the challenges of traditional polarization processes requiring high temperatures and electric fields, which can lead to overheating, damage, or uneven polarization of materials, thus affecting performance stability and increasing process complexity and cost, and to the fact that traditional methods lack precise control over the polarization process, potentially preventing the piezoelectric properties of piezoelectric ceramic sheets from reaching their optimal state, and that polarization parameters often require manual adjustment, lacking automation and intelligence, this invention provides an air polarization method and system for piezoelectric ceramic sheets.

[0006] The technical solutions provided by the embodiments of the present invention are as follows:

[0007] First aspect:

[0008] An air polarization method for a piezoelectric ceramic sheet provided in this embodiment of the invention includes:

[0009] S1: Obtain the piezoelectric ceramic sheet to be polarized;

[0010] S2: Pre-treatment of piezoelectric ceramic sheets;

[0011] S3: Heat the pretreated piezoelectric ceramic sheet to a preset temperature range;

[0012] S4: Construct an air polarization platform for the piezoelectric ceramic sheet;

[0013] S5: Apply an electric field to the heated piezoelectric ceramic sheet according to the air polarization platform and polarize it;

[0014] S6: The polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process are modeled using an artificial neural network;

[0015] S7: Based on the output of the artificial neural network, automatically adjust the electric field strength and duration of the applied electric field until the piezoelectric properties reach a stable state;

[0016] S8: Obtain the electric field strength and duration when the piezoelectric properties reach a steady state;

[0017] S9: Polarize the piezoelectric ceramic sheet according to the electric field strength and duration.

[0018] The second aspect:

[0019] An air polarization system for a piezoelectric ceramic sheet provided in this embodiment of the invention includes:

[0020] processor;

[0021] The memory stores computer-readable instructions that, when executed by a processor, implement the air polarization method of the piezoelectric ceramic sheet as described in the first aspect.

[0022] Third aspect:

[0023] The present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an air polarization method for a piezoelectric ceramic sheet as described in the first aspect.

[0024] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0025] In this embodiment of the invention, a piezoelectric ceramic sheet to be polarized is obtained and pre-processed. Then, the pre-processed piezoelectric ceramic sheet is heated to a preset temperature range, and an air polarization platform for the piezoelectric ceramic sheet is constructed, thus providing suitable conditions for polarization. Based on the air polarization platform, an electric field is applied to the heated piezoelectric ceramic sheet for polarization. An artificial neural network is used to model the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process. Simultaneously, based on the output of the artificial neural network, the electric field strength and duration are automatically adjusted until the piezoelectric properties reach a stable state. Finally, the electric field strength and duration at which the piezoelectric properties reach a stable state are obtained, and the piezoelectric ceramic sheet is polarized. This achieves precise electric field adjustment, avoiding the instability and cumbersome manual adjustment of traditional polarization methods, significantly improving the performance consistency and production efficiency of piezoelectric ceramic sheets, reducing environmental pollution, and realizing the automation and intelligence of polarization. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 A schematic flowchart of an air polarization method for a piezoelectric ceramic sheet provided in an embodiment of the present invention;

[0028] Figure 2 This is a schematic diagram of the structure of an air polarization system for a piezoelectric ceramic sheet provided in an embodiment of the present invention. Detailed Implementation

[0029] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0030] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0031] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent.

[0032] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0033] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0034] Reference manual attached Figure 1 The diagram shows a schematic flow chart of an air polarization method for a piezoelectric ceramic sheet provided in an embodiment of the present invention.

[0035] This invention provides an air polarization method for piezoelectric ceramic sheets. This method can be implemented using an air polarization device for the piezoelectric ceramic sheet, which can be a terminal or a server. The processing flow of the air polarization method for piezoelectric ceramic sheets may include the following steps:

[0036] S1: Obtain the piezoelectric ceramic sheet to be polarized.

[0037] Piezoelectric ceramic sheets are materials that can generate voltage when an external electric field or force is applied, and are commonly used in devices such as sensors and transducers. By accurately acquiring and selecting the piezoelectric ceramic sheets to be polarized, it is possible to ensure that subsequent steps are carried out under optimal conditions, avoiding interference from unqualified materials and improving the accuracy and efficiency of production.

[0038] S2: Pre-treatment of the piezoelectric ceramic sheet.

[0039] Pretreatment refers to a series of preparatory operations performed on the piezoelectric ceramic sheet before formal polarization, with the aim of ensuring that the ceramic sheet reaches a state suitable for polarization.

[0040] It should be noted that pretreatment of the piezoelectric ceramic sheet can ensure that its surface is clean and free of contaminants, thereby improving the electrode adhesion quality and polarization uniformity.

[0041] In one possible implementation, S2 specifically includes:

[0042] S201: Clean the surface of the piezoelectric ceramic sheet.

[0043] S202: Dry the cleaned piezoelectric ceramic sheet.

[0044] S203: Apply silver electrodes evenly to the surface of the dried piezoelectric ceramic sheet to make the piezoelectric ceramic sheet conductive.

[0045] It should be noted that pretreatment not only removes surface impurities and reduces their adverse effects on polarization, but also enhances the conductivity of the ceramic sheet, making the polarization process smoother. This stage of optimization can significantly improve the performance and stability of the final piezoelectric ceramic sheet.

[0046] S3: Heat the pretreated piezoelectric ceramic sheet to a preset temperature range.

[0047] The preset temperature range refers to a pre-defined temperature range that is beneficial to improving piezoelectric performance during the polarization process. By heating the piezoelectric ceramic sheet to an appropriate temperature, the polarization response of the material can be enhanced, making it easier for the electric dipole moments of the ceramic sheet to align in an orderly manner, thereby improving its piezoelectric performance. Heating can also accelerate the polarization process, reduce internal stress, and improve the structural stability of the ceramic sheet.

[0048] Those skilled in the art can set the preset temperature according to the actual situation, and the present invention does not limit it.

[0049] S4: Construct an air polarization platform for piezoelectric ceramic sheets.

[0050] Among them, the air polarization platform refers to providing a polarization environment in the air medium by controlling factors such as electric field and temperature. This platform can precisely control the conditions required in the polarization process, so that the ceramic sheet can be polarized efficiently in the air.

[0051] It should be noted that by constructing an appropriate air polarization platform, a precise polarization environment can be provided for the ceramic sheet, ensuring the uniformity and stability of the electric field. Air, as a medium, can reduce the influence that other media may bring and simplify the polarization process.

[0052] In one possible implementation, S4 specifically involves: connecting the electrode directly to the surface of the piezoelectric ceramic sheet via a contact connection method to construct an air polarization platform for the piezoelectric ceramic sheet.

[0053] It should be noted that by connecting the electrodes to the surface of the piezoelectric ceramic sheet via contact, a more direct and stable electric field conduction can be achieved, ensuring the effective transmission of polarization current. This method simplifies the polarization process, avoids complex contact methods, and provides a stronger electric field, thereby improving polarization efficiency and accuracy.

[0054] S5: Polarize the heated piezoelectric ceramic sheet by applying an electric field according to the air polarization platform.

[0055] It should be noted that by applying an appropriate electric field to the heated ceramic sheet, the orderly arrangement of the electric dipole moments inside the ceramic sheet can be promoted, thereby achieving efficient polarization.

[0056] In one possible implementation, S5 specifically includes:

[0057] S501: Determine the coercive electric field based on the material properties of the piezoelectric ceramic sheet.

[0058] Among them, the coercive electric field refers to the minimum electric field strength required for piezoelectric ceramic materials during the polarization process. It is used to overcome the magnetic hysteresis inside the material and rearrange the electric dipole moments so that the material can reach a polarized state.

[0059] S502: Determine the electric field strength of polarization based on the coercive electric field.

[0060] Electric field strength refers to the electrical force applied to a unit charge, usually expressed in volts per meter (V / m).

[0061] S503: Based on the electric field strength, determine the minimum electric field strength required for polarization by calculating the strain.

[0062] S = d 33 ·E

[0063] Where S represents the strain generated by the piezoelectric ceramic sheet along the polarization direction, E represents the electric field strength, and d 33 This represents the piezoelectric constant.

[0064] It should be noted that in this invention, the value of the piezoelectric constant is generally 400 pC / N.

[0065] S504: Calculate the dielectric constant of the piezoelectric ceramic sheet under the condition of minimum electric field strength to complete the polarization of the heated piezoelectric ceramic sheet:

[0066]

[0067] Where, ε r ε₀ represents the dielectric constant, C represents the measured capacitance, h represents the thickness, A represents the electrode area, and ε₀ represents the vacuum dielectric constant.

[0068] Dielectric constant is a physical quantity that describes the material’s response to an electric field, representing the material’s ability to store electrical energy under the influence of an electric field.

[0069] It should be noted that by determining appropriate coercive electric field and electric field strength, the polarization process can be optimized more precisely, improving the performance of piezoelectric ceramic sheets and helping to improve their overall piezoelectric properties.

[0070] S6: The polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process are modeled using an artificial neural network.

[0071] Artificial neural networks are computational models that mimic the structure of the human brain's neural network. They are trained using input data and output prediction results. Polarization parameters refer to the key factors affecting the polarization effect during the polarization process of piezoelectric ceramic sheets, such as electric field strength, polarization time, and temperature. Piezoelectric properties refer to the voltage generated by a piezoelectric ceramic sheet when subjected to external force, or its ability to deform under the influence of an electric field. Commonly used performance indicators include piezoelectric constant and dielectric constant.

[0072] It should be noted that by using artificial neural networks to model polarization parameters and piezoelectric properties, the performance of ceramic sheets can be accurately predicted in an automated manner. Neural networks can learn from large amounts of experimental data, identifying complex nonlinear relationships, thus avoiding the tediousness and uncertainty of manually adjusting parameters in traditional methods.

[0073] In one possible implementation, the polarization parameters specifically include: polarization temperature, polarization electric field strength, polarization time, and BT mass fraction of the piezoelectric ceramic sheet.

[0074] In this context, polarization temperature refers to the temperature of the piezoelectric ceramic sheet when an electric field is applied during polarization, and polarization electric field strength refers to the electric field strength applied to the piezoelectric ceramic sheet during polarization. Polarization time refers to the duration for which the electric field acts on the ceramic sheet during polarization. The BT mass fraction of the piezoelectric ceramic sheet refers to the proportion of barium titanate (BaTiO3), a common piezoelectric material. The BT mass fraction directly affects the performance of the piezoelectric ceramic sheet; a higher BT content typically increases the piezoelectric constant and dielectric constant.

[0075] In one possible implementation, the piezoelectric properties include: piezoelectric constant, dielectric constant, and β phase ratio.

[0076] Among them, the piezoelectric constant (usually expressed as d) 33 The dielectric constant (ε) is a physical quantity that measures the ability of a piezoelectric material to respond to an external electric field. It represents the ratio of the mechanical strain produced along the polarization direction to the electric field strength under the influence of an applied electric field. r An electric field (EV) describes a material's ability to store electrical energy under the influence of an electric field. It reflects the degree to which a material responds to an electric field.

[0077] In this invention, the value of the piezoelectric constant is generally 400 pC / N.

[0078] Among these, materials with a higher proportion of the β phase typically exhibit stronger piezoelectric properties. The proportion of the β phase directly affects the piezoelectric properties of the material; therefore, adjusting the proportion of the β phase is a method to optimize the performance of piezoelectric ceramic sheets.

[0079] In one possible implementation, S6 specifically includes:

[0080] S601: Obtain the polarization temperature, polarization electric field strength, and polarization time during the polarization process.

[0081] S602: Using polarization parameters as input to an artificial neural network and piezoelectric properties as output, this model models the polarization parameters and piezoelectric properties of a piezoelectric ceramic sheet during the polarization process.

[0082]

[0083] in, F represents the output value of the i-th neuron in the L-th layer. L-1 This represents the activation function used between layer L(L-1) and layer L, where i = 1, ..., m, and m represents the total number of neurons. This represents the weights connecting the i-th neuron in layer L to the j-th neuron. This represents the weighted input of the i-th neuron in the (L-1)-th layer. This represents the bias value of the i-th neuron in the L-th layer.

[0084] It should be noted that by using polarization parameters as input to an artificial neural network and piezoelectric properties as output, accurate modeling of the polarization process of piezoelectric ceramic sheets can be achieved. In addition, the neural network has strong adaptability and self-learning ability, and can be flexibly adjusted according to different materials and conditions, thereby improving the accuracy and efficiency of the polarization process.

[0085] S7: Based on the output of the artificial neural network, automatically adjust the electric field strength and duration of the applied electric field until the piezoelectric properties reach a stable state.

[0086] It should be noted that the predicted output of the artificial neural network can automatically adjust the electric field strength and duration, ensuring that the piezoelectric ceramic sheet achieves optimal piezoelectric performance during polarization. This automated adjustment reduces the need for manual intervention and ensures the accuracy and consistency of the polarization process.

[0087] In one possible implementation, S7 specifically includes:

[0088] S701: Based on the modeling results and the activation function, predict the piezoelectric constant, dielectric constant, and β phase ratio:

[0089]

[0090] in, F represents the predicted piezoelectric constant. out () represents the activation function of the output layer, F() represents the activation function of the hidden layer, and H represents the total number of neurons in the hidden layer. This represents the piezoelectric weights from the j-th neuron to the output neuron, and 4 represents the total number of input parameters. x represents the weight connecting the i-th neuron in the input layer to the j-th neuron in the hidden layer. k This represents the k-th parameter in the input. This represents the bias term of the j-th neuron in the hidden layer. This represents the piezoelectric bias term of the output layer. This represents the predicted dielectric constant. This represents the dielectric weight from the j-th neuron to the output neuron. This indicates the dielectric bias term of the output layer. This indicates the predicted proportion of the β phase. This represents the β-phase proportional weight from the j-th neuron to the output neuron. This represents the β-phase proportional bias term of the output layer.

[0091] The activation function is a mathematical function applied to each neuron in an artificial neural network before its output. It is used to introduce nonlinear factors, enabling the network to capture complex relationships.

[0092] S702: Based on the predicted piezoelectric constant, dielectric constant, and β-phase ratio, calculate the root mean square error and coefficient of determination of the artificial neural network:

[0093]

[0094] Where RMSE represents the root mean square error, q = 1, 2, ..., N, N represents the sample size, and y aq Let y represent the actual value of the q-th sample. pq R represents the predicted value of the q-th sample. 2 The coefficient of determination is represented by the coefficient of determination. This represents the average of the true values.

[0095] The root mean square error (RMSE) is an indicator used to evaluate the predictive accuracy of regression models (such as artificial neural networks). It represents the average degree of difference between predicted and actual values. The coefficient of determination (COD) is an indicator of the predictive power of a regression model, representing the degree to which the model explains the relationship between the independent and dependent variables.

[0096] S703: Determine the optimal polarization electric field strength and optimal polarization time under the conditions of minimum root mean square error and maximum coefficient of determination:

[0097] Eoptimal =argmax E f(E,t optimal ,T optimal BT optimal )

[0098] t optimal =argmax t f(E optimal ,t,T optimal BT optimal )

[0099] Among them, E optimal Let f(·) represent the optimal polarization electric field strength, argmax represent taking the maximum value, f(·) represent the objective function, E represent the electric field strength, and t represent the electric field strength. optimal T represents the optimal polarization time. optimal BT represents the optimal polarization temperature. optimal The value represents the optimal BT (barium titanate) content, and t represents the polarization time.

[0100] S704: Based on the optimal polarization electric field strength and optimal polarization time, automatically adjust the electric field strength and duration of the applied electric field until the piezoelectric properties reach a stable state.

[0101] It should be noted that optimizing the polarization process of piezoelectric ceramic sheets using an artificial neural network model can accurately predict the optimal polarization conditions based on key parameters such as piezoelectric constant, dielectric constant, and β-phase ratio. By combining the root mean square error and the coefficient of determination, the accuracy of the prediction can be quantified, ensuring optimization under conditions of minimum error and maximum interpretability, thereby obtaining the optimal electric field strength and polarization time. Furthermore, the automated adjustment of the entire process greatly improves production efficiency and the consistency of piezoelectric ceramic sheets, reduces human intervention, and ensures the stability and reliability of the ceramic sheet performance.

[0102] In one possible implementation, the activation function specifically includes: hyperbolic tangent function, linear transfer function, and logarithmic sigmoid function.

[0103] The hyperbolic tangent function is as follows:

[0104]

[0105] Where Tanh represents the hyperbolic tangent function, x represents the input of the activation function, and e x Let denote the exponential function, and e denote the base of the natural logarithm.

[0106] The linear transfer function is specifically:

[0107] Purelin(x) = x

[0108] Where Purelin represents the linear transfer function, and x represents the input to the activation function.

[0109] The logarithmic sigmoid function is specifically as follows:

[0110]

[0111] Wherein, Logsig represents the logarithmic sigmoid function.

[0112] It's important to note that combining these three activation functions provides neural networks with greater flexibility and adaptability across different problems. The hyperbolic tangent function is suitable for scenarios requiring negative outputs, the linear transfer function is well-suited for regression tasks, directly outputting predictions, while the logarithmic sigmoid function is ideal for handling probabilistic problems, helping the network make smooth decisions in classification tasks. By selecting appropriate activation functions based on task requirements, the network can effectively learn and handle complex nonlinear relationships, thereby enhancing the model's predictive and generalization abilities.

[0113] S8: Obtain the electric field strength and duration when the piezoelectric properties reach a steady state.

[0114] In this context, "steady state" refers to the state where, during polarization, the piezoelectric properties of the piezoelectric ceramic sheet have reached and remained at a level that no longer fluctuates, meaning its electrical characteristics no longer change and it has achieved its expected optimal performance. "Electric field strength" refers to the intensity of the electric field applied to the ceramic sheet, usually expressed in volts per meter (V / m). "Duration" refers to the length of time the electric field acts on the piezoelectric ceramic sheet.

[0115] It should be noted that by accurately measuring the electric field strength and duration, the most suitable polarization conditions for the ceramic sheet can be obtained, avoiding the uncertainties caused by performance fluctuations. This effectively improves the final performance of the ceramic sheet, enabling it to exhibit higher stability and reliability in practical applications.

[0116] S9: Polarize the piezoelectric ceramic sheet according to the electric field strength and duration.

[0117] It should be noted that the piezoelectric ceramic sheet is precisely polarized based on the determined optimal electric field strength and duration, ensuring that the ceramic sheet is processed under optimal conditions. This process maximizes the piezoelectric performance of the ceramic sheet and ensures its stability and consistency in future applications. By precisely controlling the electric field strength and duration based on previous optimization calculations, performance fluctuations caused by over- or under-polarization are avoided, improving the efficiency of the production process and the quality of the final product.

[0118] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0119] In this embodiment of the invention, a piezoelectric ceramic sheet to be polarized is obtained and pre-processed. Then, the pre-processed piezoelectric ceramic sheet is heated to a preset temperature range, and an air polarization platform for the piezoelectric ceramic sheet is constructed, thus providing suitable conditions for polarization. Based on the air polarization platform, an electric field is applied to the heated piezoelectric ceramic sheet for polarization. An artificial neural network is used to model the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process. Simultaneously, based on the output of the artificial neural network, the electric field strength and duration are automatically adjusted until the piezoelectric properties reach a stable state. Finally, the electric field strength and duration at which the piezoelectric properties reach a stable state are obtained, and the piezoelectric ceramic sheet is polarized. This achieves precise electric field adjustment, avoiding the instability and cumbersome manual adjustment of traditional polarization methods, significantly improving the performance consistency and production efficiency of piezoelectric ceramic sheets, reducing environmental pollution, and realizing the automation and intelligence of polarization.

[0120] Reference manual attached Figure 2 The diagram shows a schematic of the structure of an air polarization system for a piezoelectric ceramic sheet provided by the present invention.

[0121] The present invention also provides an air polarization system 20 for a piezoelectric ceramic sheet, applied to the above-mentioned air polarization method for the piezoelectric ceramic sheet, comprising:

[0122] Processor 201.

[0123] The memory 202 stores computer-readable instructions that, when executed by the processor 201, implement the air polarization method for the piezoelectric ceramic sheet as described in the method embodiment.

[0124] The air polarization system 20 for piezoelectric ceramic sheets provided by the present invention can perform the air polarization method for piezoelectric ceramic sheets described above and achieve the same or similar technical effects. To avoid repetition, the present invention will not elaborate further.

[0125] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0126] In this embodiment of the invention, a piezoelectric ceramic sheet to be polarized is obtained and pre-processed. Then, the pre-processed piezoelectric ceramic sheet is heated to a preset temperature range, and an air polarization platform for the piezoelectric ceramic sheet is constructed, thus providing suitable conditions for polarization. Based on the air polarization platform, an electric field is applied to the heated piezoelectric ceramic sheet for polarization. An artificial neural network is used to model the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process. Simultaneously, based on the output of the artificial neural network, the electric field strength and duration are automatically adjusted until the piezoelectric properties reach a stable state. Finally, the electric field strength and duration at which the piezoelectric properties reach a stable state are obtained, and the piezoelectric ceramic sheet is polarized. This achieves precise electric field adjustment, avoiding the instability and cumbersome manual adjustment of traditional polarization methods, significantly improving the performance consistency and production efficiency of piezoelectric ceramic sheets, reducing environmental pollution, and realizing the automation and intelligence of polarization.

[0127] It should be understood that the processor in the embodiments of the present invention can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0128] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0129] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0130] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0131] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0132] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0133] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0134] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0135] In the embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0136] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0137] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0138] If the functionality is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0139] This invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the air polarization method for a piezoelectric ceramic sheet as described in the method embodiment.

[0140] The present invention provides a computer-readable storage medium that can implement the steps and effects of the air polarization method for piezoelectric ceramic sheets in the above-described method embodiments. To avoid repetition, the present invention will not repeat the details.

[0141] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0142] In this embodiment of the invention, a piezoelectric ceramic sheet to be polarized is obtained and pre-processed. Then, the pre-processed piezoelectric ceramic sheet is heated to a preset temperature range, and an air polarization platform for the piezoelectric ceramic sheet is constructed, thus providing suitable conditions for polarization. Based on the air polarization platform, an electric field is applied to the heated piezoelectric ceramic sheet for polarization. An artificial neural network is used to model the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process. Simultaneously, based on the output of the artificial neural network, the electric field strength and duration are automatically adjusted until the piezoelectric properties reach a stable state. Finally, the electric field strength and duration at which the piezoelectric properties reach a stable state are obtained, and the piezoelectric ceramic sheet is polarized. This achieves precise electric field adjustment, avoiding the instability and cumbersome manual adjustment of traditional polarization methods, significantly improving the performance consistency and production efficiency of piezoelectric ceramic sheets, reducing environmental pollution, and realizing the automation and intelligence of polarization.

[0143] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0144] The following points need to be explained:

[0145] (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0146] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the present invention; that is, these drawings are not drawn to actual scale. It is understood that when an element such as a layer, film, region, or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element, or there may be intermediate elements.

[0147] (3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0148] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for air polarization of a piezoelectric ceramic sheet, characterized in that, include: S1: Obtain the piezoelectric ceramic sheet to be polarized; S2: Pre-treat the piezoelectric ceramic sheet; S3: Heat the pretreated piezoelectric ceramic sheet to a preset temperature range; S4: Construct the air polarization platform of the piezoelectric ceramic sheet; S5: Apply an electric field to the heated piezoelectric ceramic sheet according to the air polarization platform and polarize it; S5 specifically includes: S501: Determine the coercive electric field according to the material properties of the piezoelectric ceramic sheet; S502: Determine the electric field strength for polarization according to the coercive electric field; S503: Determine the minimum electric field strength required for polarization by calculating the strain according to the electric field strength; S504: Calculate the dielectric constant of the piezoelectric ceramic sheet while the minimum electric field strength is maintained, so as to complete the polarization of the heated piezoelectric ceramic sheet; S6: The polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process are modeled using an artificial neural network. The polarization parameters include polarization temperature, polarization electric field strength, and polarization time. S7: Based on the output of the artificial neural network, automatically adjust the electric field strength and duration of the applied electric field until the piezoelectric properties reach a stable state; S8: Obtain the electric field strength and duration when the piezoelectric property reaches the steady state; S9: Polarize the piezoelectric ceramic sheet according to the electric field strength and the duration.

2. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, S2 specifically includes: S201: Perform surface cleaning on the piezoelectric ceramic sheet; S202: Dry the cleaned piezoelectric ceramic sheet; S203: Apply silver electrodes evenly to the surface of the dried piezoelectric ceramic sheet to make the piezoelectric ceramic sheet conductive.

3. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, Specifically, S4 involves connecting the electrode directly to the surface of the piezoelectric ceramic sheet via a contact connection method to construct an air polarization platform for the piezoelectric ceramic sheet.

4. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, The polarization parameters also include the BT mass fraction of the piezoelectric ceramic sheet.

5. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, The piezoelectric properties include: piezoelectric constant, dielectric constant, and β phase ratio.

6. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, S6 specifically includes: S601: Obtain the polarization temperature, polarization electric field intensity, and polarization time during the polarization process; S602: Using the polarization parameters as the input of the artificial neural network and the piezoelectric properties as the output of the artificial neural network, model the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process.

7. The air polarization method for piezoelectric ceramic sheets according to claim 1, characterized in that, Specifically, S7 includes: S701: Based on the modeling results and combined with the activation function, predict the piezoelectric constant, dielectric constant, and β phase ratio; S702: Calculate the root mean square error and coefficient of determination of the artificial neural network based on the predicted piezoelectric constant, dielectric constant, and β phase ratio. S703: Determine the optimal polarization electric field strength and optimal polarization time when the root mean square error is minimized and the determination coefficient is maximized; S704: Based on the optimal polarization electric field strength and the optimal polarization time, automatically adjust the electric field strength and duration of the applied electric field until the piezoelectric performance reaches a stable state.

8. The air polarization method for piezoelectric ceramic sheets according to claim 7, characterized in that, The activation functions specifically include: hyperbolic tangent function, linear transfer function, and logarithmic sigmoid function.

9. An air polarization system for a piezoelectric ceramic sheet, characterized in that, include: processor; A memory storing computer-readable instructions, which, when executed by the processor, implement the air polarization method for the piezoelectric ceramic sheet as described in any one of claims 1 to 8.

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