Air polarization method and system of piezoelectric ceramic piece

Abstract

The invention provides an air polarization method and system for a piezoelectric ceramic piece, and relates to the technical field of piezoelectric drivers, and the method comprises the steps: obtaining a to-be-polarized piezoelectric ceramic piece; preprocessing the piezoelectric ceramic piece; heating the preprocessed piezoelectric ceramic piece to a preset temperature range; constructing an air polarization platform; applying an electric field to the heated piezoelectric ceramic piece for polarization according to an air polarization platform; modeling polarization parameters and piezoelectric performance of the piezoelectric ceramic piece in the polarization process through an artificial neural network; according to the output of the artificial neural network, the electric field intensity and duration of the applied electric field are automatically adjusted until the piezoelectric property reaches a stable state; acquiring the electric field intensity and the duration when the piezoelectric property reaches a stable state; and the piezoelectric ceramic piece is polarized according to the electric field intensity and the duration time. According to the method, instability and tedious manual adjustment in a traditional polarization method can be avoided, and the performance consistency and the production efficiency of the piezoelectric ceramic piece are remarkably improved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of piezoelectric drivers, in particular to an air polarization method and system for a piezoelectric ceramic sheet. BACKGROUND

[0002] The piezoelectric ceramic sheet refers to a material capable of generating a voltage when subjected to mechanical stress or deforming under an applied electric field. Air polarization specifically refers to a particular polarization method, in which the polarization of the piezoelectric ceramic sheet is completed through air as a medium, and the air polarization method for a piezoelectric ceramic sheet refers to a method for polarizing the piezoelectric ceramic sheet through an electric field in air to improve its piezoelectric performance.

[0003] By performing polarization treatment in air, the ceramic sheet can achieve higher stability and better piezoelectric performance in application, thereby improving its application effect in actual engineering. It has important significance for simplifying the production process and reducing environmental pollution.

[0004] However, the traditional polarization process requires high temperature and high electric field, which may cause overheating, damage or uneven polarization of the material, thereby affecting the performance stability. Secondly, the polarization process often relies on liquids or special media, which increases the process complexity and cost. In addition, the traditional method lacks precise control over the polarization process, which may cause the piezoelectric performance of the piezoelectric ceramic sheet to fail to reach the best state, and the polarization parameters often need to be adjusted manually, lacking automation and intelligent level. SUMMARY

[0005] In order to solve the technical problems that the traditional polarization process requires high temperature and high electric field, which may cause overheating, damage or uneven polarization of the material, thereby affecting the performance stability, leading to process complexity and cost increase, in addition, the traditional method lacks precise control over the polarization process, which may cause the piezoelectric performance of the piezoelectric ceramic sheet to fail to reach the best state, and the polarization parameters often need to be adjusted manually, lacking automation and intelligent level, the application provides an air polarization method and system for a piezoelectric ceramic sheet.

[0006] The technical scheme provided by the embodiment of the application is as follows:

[0007] First aspect:

[0008] The air polarization method for a piezoelectric ceramic sheet provided by the embodiment of the application comprises:

[0009] S1: obtaining a piezoelectric ceramic sheet to be polarized;

[0010] S2: pretreating the piezoelectric ceramic sheet;

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

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

[0013] S5: According to the air polarization platform, applying an electric field to the heated piezoelectric ceramic sheet and performing polarization;

[0014] S6: Modeling the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process through an artificial neural network;

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

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

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

[0018] Second aspect:

[0019] The piezoelectric ceramic sheet air polarization system provided by the embodiment of the application comprises:

[0020] A processor;

[0021] A memory, the memory storing computer readable instructions, the computer readable instructions being executed by the processor to implement the piezoelectric ceramic sheet air polarization method of the first aspect.

[0022] Third aspect:

[0023] The computer readable storage medium provided by the embodiment of the application stores a computer program, and the program is executed by the processor to implement the piezoelectric ceramic sheet air polarization method of the first aspect.

[0024] The technical scheme provided by the embodiment of the application has at least the following beneficial effects:

[0025] In the embodiment of the present application, by acquiring the piezoelectric ceramic sheet to be polarized and pretreating, then heating the pretreated piezoelectric ceramic sheet to a preset temperature range, and constructing an air polarization platform of the piezoelectric ceramic sheet, suitable conditions are provided for polarization. According to the air polarization platform, the piezoelectric ceramic sheet after heating is polarized by applying an electric field, and through an artificial neural network, the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet in the polarization process are modeled, and according to the output of the artificial neural network, the electric field strength and duration of the applied electric field are automatically adjusted until the piezoelectric properties reach a stable state, and finally, the electric field strength and duration when the piezoelectric properties reach a stable state are acquired to polarize the piezoelectric ceramic sheet, realizing accurate electric field adjustment, avoiding the instability and the tediousness of artificial adjustment in the traditional polarization method, significantly improving the performance consistency and production efficiency of the piezoelectric ceramic sheet, reducing environmental pollution, and realizing the automation and intelligentization of polarization. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0027] Figure 1 A flowchart of an air polarization method of a piezoelectric ceramic sheet provided in the embodiment of the present application is shown.

[0028] Figure 2 A structural schematic diagram of an air polarization system of a piezoelectric ceramic sheet provided in the embodiment of the present application is shown. DETAILED DESCRIPTION

[0029] The technical solutions in the present application will be described below with reference to the drawings.

[0030] In the embodiments of the present application, the words such as "example", "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be one of the two.

[0031] In the embodiments of the present application, the terms "image" and "picture" can be used interchangeably, and it should be pointed out that the meanings expressed are consistent when the distinction is not emphasized.

[0032] In the embodiments of the present application, the subscript such as W1 may be written in the form of non-subscript such as W1, and the meanings expressed are consistent when the distinction is not emphasized.

[0033] To make the technical problems, technical solutions and advantages to be solved by the present application clearer, specific embodiments will be described in detail below with reference to the drawings.

[0034] Reference is made to the accompanying drawings and specific embodiments described in the specification Figure 1 , a flowchart of an air polarization method of a piezoelectric ceramic sheet is shown.

[0035] The embodiments of the present application provide an air polarization method of a piezoelectric ceramic sheet, which can be realized by an air polarization device of a piezoelectric ceramic sheet, which can be a terminal or a server. The processing flow of the air polarization method of the piezoelectric ceramic sheet can include the following steps:

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

[0037] The piezoelectric ceramic sheet is a material that can generate voltage when an external electric field or force is applied, and is commonly used in sensors, transducers and other devices. By accurately obtaining and selecting the piezoelectric ceramic sheet to be polarized, it can ensure that the subsequent steps can be carried out under the best conditions, avoiding the interference of unqualified materials, and improving the accuracy and efficiency of production.

[0038] S2: Pretreat the piezoelectric ceramic sheet.

[0039] The pretreatment refers to a series of preparatory operations on the piezoelectric ceramic sheet before formal polarization, and the purpose is to ensure that the ceramic sheet reaches a suitable state for polarization.

[0040] It should be noted that by pretreating the piezoelectric ceramic sheet, its surface can be kept clean and free of pollution, thereby improving the electrode adhesion quality and the uniformity of polarization.

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

[0042] S201: Surface cleaning of the piezoelectric ceramic sheet.

[0043] S202: drying the piezoelectric ceramic sheet after cleaning.

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

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

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

[0047] The preset temperature range refers to a temperature range that is beneficial to improving the 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 the electric dipole moment of the ceramic sheet more easily ordered, thereby improving its piezoelectric performance. Heating can also speed up the polarization process, reduce internal stress, and improve the structural stability of the ceramic sheet.

[0048] The size of the preset temperature can be set by those skilled in the art according to actual conditions, and the present application does not limit it.

[0049] S4: constructing an air polarization platform for the piezoelectric ceramic sheet.

[0050] The air polarization platform refers to a platform that provides a polarization environment in air by controlling factors such as electric field and temperature. This platform can accurately control the conditions required during polarization, allowing the ceramic sheet to efficiently complete polarization in air.

[0051] It should be noted that by constructing an appropriate air polarization platform, an accurate 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 of other media, simplifying the polarization process.

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

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

[0054] S5: polarizing 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 ordering of the internal electric dipole moments of the ceramic sheet can be promoted, thereby achieving high efficiency polarization.

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

[0057] S501: According to the material properties of the piezoelectric ceramic sheet, the coercive electric field is determined.

[0058] Wherein, the coercive electric field refers to the minimum electric field strength required by the piezoelectric ceramic material during the polarization process, which is used to overcome the magnetic hysteresis and rearrange the internal electric dipole moments of the material, so that the material reaches the polarization state.

[0059] S502: According to the coercive electric field, the electric field strength of polarization is determined.

[0060] Wherein, the electric field strength refers to the electric power applied on a unit charge, usually expressed in volts per meter (V / m).

[0061] S503: According to the electric field strength, the minimum electric field strength required for polarization is determined by calculating the strain:

[0062] S = d 33 ·E

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

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

[0065] S504: Under the condition of the minimum electric field strength, the dielectric constant of the piezoelectric ceramic sheet is calculated to complete the polarization of the heated piezoelectric ceramic sheet:

[0066]

[0067] Wherein, ε r 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] Wherein, the dielectric constant is a physical quantity describing the response of the material to the electric field, indicating the ability of the material to store electric energy under the action of the electric field.

[0069] It should be noted that by determining the appropriate coercive electric field and electric field strength, the polarization process can be more accurately optimized, the performance of the piezoelectric ceramic sheet can be improved, and the overall piezoelectric performance can be improved.

[0070] S6: modeling the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during the polarization process through an artificial neural network.

[0071] wherein the artificial neural network is a computational model that mimics the structure of neural networks in the human brain, trained through input data to output prediction results, and the polarization parameters refer to key factors affecting the polarization effect during the polarization process of the piezoelectric ceramic sheet, such as electric field intensity, polarization time, temperature, etc. The piezoelectric properties refer to the voltage generated by the piezoelectric ceramic sheet when subjected to external force, or the ability to deform under the action of an electric field. Common performance indicators include piezoelectric constant, dielectric constant, etc.

[0072] It should be noted that by using an artificial neural network to model the polarization parameters and piezoelectric properties, the performance of the ceramic sheet can be accurately predicted in an automated manner. Neural networks can learn from a large amount of experimental data, identify complex nonlinear relationships, and avoid the tediousness and uncertainty of manual parameter adjustment in traditional methods.

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

[0074] wherein the polarization temperature refers to the temperature of the piezoelectric ceramic sheet during the application of an electric field during the polarization process, the polarization electric field intensity refers to the electric field intensity applied to the piezoelectric ceramic sheet during the polarization process. The polarization time refers to the duration of the electric field acting on the ceramic sheet during the polarization by applying an electric field, and the BT mass fraction of the piezoelectric ceramic sheet refers to barium titanate (BaTiO3), a common piezoelectric material. The BT mass fraction refers to the proportion of barium titanate in the piezoelectric ceramic sheet, and the BT mass fraction directly affects the performance of the piezoelectric ceramic sheet. Higher BT content generally improves the piezoelectric constant and dielectric constant of the ceramic sheet.

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

[0076] wherein the piezoelectric constant (usually denoted as d 33 ) is a physical quantity that measures the ability of a piezoelectric material to respond to an external electric field, representing the proportion of mechanical strain generated along the polarization direction to the electric field intensity under the action of an applied electric field. The dielectric constant (usually denoted as ε r ) describes the ability of a material to store electrical energy under the action of an electric field. It reflects the degree of response of the material to an electric field.

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

[0078] When the proportion of the β phase in the material is high, its piezoelectric performance is usually strong. The proportion of the β phase directly affects the piezoelectric performance of the material, so adjusting the proportion of the β phase is a method to optimize the performance of the piezoelectric ceramic sheet.

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

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

[0081] S602: Model the polarization parameters and piezoelectric performance of the piezoelectric ceramic sheet in the polarization process by taking the polarization parameters as the input of the artificial neural network and taking the piezoelectric performance as the output of the artificial neural network:

[0082]

[0083] wherein, represents the output value of the i-th neuron of the L-th layer, F L-1 represents the activation function used between the L-1-th layer and the L-th layer, i = 1, … m, m represents the total number of neurons, represents the weight of the i-th neuron of the L-th layer connected to the j-th neuron, represents the weighted input of the i-th neuron of the L-1-th layer, represents the bias value of the i-th neuron of the L-th layer.

[0084] It should be noted that by taking the polarization parameters as the input of the artificial neural network and the piezoelectric performance as the output, the polarization process of the piezoelectric ceramic sheet can be accurately modeled. In addition, the neural network has strong adaptability and self-learning ability, and can be flexibly adjusted according to different materials and conditions, improving the precision and efficiency of the polarization process.

[0085] S7: Automatically adjust the electric field intensity and duration of the applied electric field according to the output of the artificial neural network until the piezoelectric performance reaches a stable state.

[0086] It should be noted that by predicting the output of the artificial neural network, the electric field intensity and duration can be automatically adjusted to ensure that the piezoelectric ceramic sheet reaches the best piezoelectric performance in the polarization process. This automatic 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: According to the modeling results, the piezoelectric constant, dielectric constant, and β phase proportion are predicted in combination with the activation function:

[0089]

[0090] wherein, denotes the predicted piezoelectric constant, F out denotes the activation function of the output layer, F() denotes the activation function of the hidden layer, H denotes the total number of neurons of the hidden layer, denotes the piezoelectric weight of the jth neuron to the output neuron, 4 denotes the total number of input parameters, denotes the weight of the ith neuron of the input layer connected to the jth neuron of the hidden layer, x k denotes the kth input parameter, denotes the bias term of the jth neuron of the hidden layer, denotes the piezoelectric bias term of the output layer, denotes the predicted dielectric constant, denotes the dielectric weight of the jth neuron to the output neuron, denotes the dielectric bias term of the output layer, denotes the predicted β phase ratio, denotes the β phase ratio weight of the jth neuron to the output neuron, denotes the β phase ratio bias term of the output layer.

[0091] wherein, the activation function is a mathematical function applied before each neuron output in artificial neural networks, used to introduce non-linear factors, so that the network can capture complex relationships.

[0092] S702: According to the predicted piezoelectric constant, dielectric constant and β phase ratio, the root mean square error and the determination coefficient of artificial neural network are calculated respectively:

[0093]

[0094] wherein, RMSE denotes the root mean square error, q = 1, 2, …, N, N denotes the number of samples, y aq denotes the actual value of the qth sample, y pq denotes the predicted value of the qth sample, R 2 denotes the determination coefficient, denotes the average value of the true value.

[0095] wherein, the root mean square error is an index for evaluating the prediction accuracy of a regression model (such as artificial neural network), which represents the average degree of difference between the predicted value and the actual value. The determination coefficient is an index for measuring the prediction ability of the regression model, which represents the degree of relationship between the model and the dependent variable.

[0096] S703: In the case of minimum root mean square error and maximum determination coefficient, the optimal polarization electric field intensity and the optimal polarization time are determined:

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

[0100] S704: According to the optimal polarization electric field strength and the optimal polarization time, the electric field strength and the duration of the applied electric field are automatically adjusted until the piezoelectric performance reaches a steady state.

[0101] It should be noted that by optimizing the polarization process of the piezoelectric ceramic sheet through the artificial neural network model, the optimal polarization conditions can be accurately predicted according to the key parameters such as the piezoelectric constant, the dielectric constant, and the beta phase ratio. By combining the root mean square error and the determination coefficient, the accuracy of the prediction can be quantified to ensure optimization under the conditions of minimum error and maximum explanatory power, thereby obtaining the optimal electric field strength and polarization time. In addition, the automation of the entire process greatly improves the production efficiency and the consistency of the piezoelectric ceramic sheet, reduces human intervention, and ensures the stability and reliability of the ceramic sheet performance.

[0102] In one possible implementation, the activation function specifically includes: a hyperbolic tangent function, a linear transfer function, and a logistic S-shaped function.

[0103] The hyperbolic tangent function is specifically:

[0104]

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

[0106] The linear transfer function is specifically:

[0107] Purelin(x) = x

[0108] wherein, Purelin represents a linear transfer function, and x represents an input of an activation function.

[0109] The log sigmoid function is specifically:

[0110]

[0111] wherein, Logsig represents a log sigmoid function.

[0112] It should be noted that the combination of the three activation functions provides flexibility and adaptability of neural networks in different problems. The hyperbolic tangent function is suitable for scenarios that require negative output, the linear transfer function is suitable for regression tasks and can directly output prediction results, and the log sigmoid function is suitable for processing probability problems and helps the network make smooth decisions in classification tasks. By selecting the appropriate activation function according to the task requirements, the network can effectively learn and process complex nonlinear relationships, thereby improving the prediction ability and generalization ability of the model.

[0113] S8: Obtain the electric field intensity and duration when the piezoelectric performance reaches a steady state.

[0114] wherein, the steady state refers to the piezoelectric performance of the piezoelectric ceramic sheet reaching and maintaining at a certain level that no longer fluctuates during the polarization process, i.e., its electrical characteristics no longer change, reaching the desired optimal performance. The electric field intensity refers to the strength of the electric field applied to the ceramic sheet, usually expressed in volts per meter (V / m). The 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 intensity and duration, the most suitable polarization conditions for the ceramic sheet can be obtained, avoiding the uncertainty caused by performance fluctuations. The final performance of the ceramic sheet can be effectively improved, making it exhibit higher stability and reliability in actual applications.

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

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

[0118] The technical solutions provided by the embodiments of the present application have at least the following beneficial effects:

[0119] In the embodiment of the present application, by acquiring the piezoelectric ceramic sheet to be polarized and pretreating, then heating the pretreated piezoelectric ceramic sheet to a preset temperature range, and constructing an air polarization platform of the piezoelectric ceramic sheet, suitable conditions are provided for polarization. According to the air polarization platform, the piezoelectric ceramic sheet after heating is polarized by applying an electric field, and through an artificial neural network, the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet in the polarization process are modeled, and according to the output of the artificial neural network, the electric field strength and duration of the applied electric field are automatically adjusted until the piezoelectric properties reach a stable state, and finally, the electric field strength and duration when the piezoelectric properties reach a stable state are acquired to polarize the piezoelectric ceramic sheet, realizing accurate electric field adjustment, avoiding the instability and the tediousness of artificial adjustment in the traditional polarization method, significantly improving the performance consistency and production efficiency of the piezoelectric ceramic sheet, reducing environmental pollution, and realizing the automation and intelligentization of polarization.

[0120] Reference is made to the accompanying drawings that show a structural schematic diagram of an air polarization system of a piezoelectric ceramic sheet provided by the present application. Figure 2 , shows a structural schematic diagram of an air polarization system of a piezoelectric ceramic sheet provided by the present application.

[0121] The present application also provides an air polarization system 20 of a piezoelectric ceramic sheet, applied to the air polarization method of the piezoelectric ceramic sheet.

[0122] The processor 201.

[0123] The memory 202, the memory 202 stores computer readable instructions, and when the computer readable instructions are executed by the processor 201, the air polarization method of the piezoelectric ceramic sheet of the method embodiment is realized.

[0124] The air polarization system 20 of the piezoelectric ceramic sheet provided by the present application can execute the air polarization method of the piezoelectric ceramic sheet described above and realize the same or similar technical effects. To avoid repetition, the present application will not be described again.

[0125] The technical solutions provided by the embodiments of the present application have at least the following beneficial effects:

[0126] In the embodiment of the present application, by acquiring the piezoelectric ceramic wafer to be polarized and pretreating, then heating the pretreated piezoelectric ceramic wafer to a preset temperature range, and constructing an air polarization platform of the piezoelectric ceramic wafer, suitable conditions for polarization are provided. According to the air polarization platform, the piezoelectric ceramic wafer after heating is polarized by applying an electric field, and by using an artificial neural network, the polarization parameters and piezoelectric properties of the piezoelectric ceramic wafer during polarization are modeled, and according to the output of the artificial neural network, the electric field strength and duration of the applied electric field are automatically adjusted until the piezoelectric properties reach a stable state, finally, the electric field strength and duration when the piezoelectric properties reach a stable state are acquired to polarize the piezoelectric ceramic wafer, precise electric field adjustment is realized, instability in the traditional polarization method and the tediousness of manual adjustment are avoided, the performance consistency and production efficiency of the piezoelectric ceramic wafer are significantly improved, environmental pollution is reduced, and the automation and intelligentization of polarization are realized.

[0127] It should be understood that the processor in the embodiment of the present application can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0128] It should also be understood that the memory in the embodiments of the present application can be volatile or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), electrically EPROM (EEPROM), or flash memory. The volatile memory can be random access memory (RAM) used as external cache. By way of example, and 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 SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0129] The above-described embodiments can be implemented in part or in whole through software, hardware (e.g., circuitry), firmware, or any combination thereof. When implemented in software, the above-described embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When loaded and executed by a computer, the computer instructions or computer programs can generate the flow or function according to the embodiments of the present application in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, such as from one website site, computer, server, or data center to another website site, computer, server, or data center through a wired (e.g., infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, etc. containing a set of one or more available media. The available media can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0130] It should be understood that the term "and / or" used herein is merely an association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after it, but it can also represent an "and / or" relationship, which can be understood in the context before and after it.

[0131] In the present application, "at least one" means one or more, and "multiple" means two or more. "At least one of the following" or the like means any combination of the items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0132] It should be understood that in various embodiments of the present application, the size of the sequence number of the above-described processes does not mean the order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0133] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed 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 implementation should not be considered beyond the scope of the present application.

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

[0135] In several embodiments provided by the present application, 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 schematic, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0136] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0137] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit.

[0138] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0139] The embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the air polarization method of the piezoelectric ceramic sheet according to the method embodiment.

[0140] The computer readable storage medium provided by the present application can realize the steps and effects of the air polarization method of the piezoelectric ceramic sheet according to the method embodiment, and the present application will not be repeated here.

[0141] The technical solutions provided by the embodiment of the present application have at least the following beneficial effects:

[0142] In the embodiment of the present application, the piezoelectric ceramic sheet to be polarized is obtained and pretreated, then the pretreated piezoelectric ceramic sheet is heated to a preset temperature range, and an air polarization platform of the piezoelectric ceramic sheet is constructed, so as to provide suitable conditions for polarization. According to the air polarization platform, the piezoelectric ceramic sheet after heating is polarized by applying an electric field, and the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet in the polarization process are modeled by using an artificial neural network. At the same time, according to the output of the artificial neural network, the electric field strength and duration of the applied electric field are automatically adjusted until the piezoelectric properties reach a stable state. Finally, the electric field strength and duration when the piezoelectric properties reach a stable state are obtained, and the piezoelectric ceramic sheet is polarized, which realizes accurate electric field adjustment, avoids the instability and tediousness of manual adjustment in the traditional polarization method, significantly improves the performance consistency and production efficiency of the piezoelectric ceramic sheet, reduces environmental pollution, and realizes the automation and intelligentization of polarization.

[0143] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0144] The following points need to be explained:

[0145] (1) The drawings of the embodiments of the present application only relate to the structures involved in the embodiments of the present application, and other structures can be referred to the general design.

[0146] (2) In the drawings used to describe the embodiments of the present application, the thickness of a layer or region is exaggerated or reduced for clarity, i.e., the drawings are not drawn according to the actual scale. It can be understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, it can be "directly" on or under the other element or there can be an intermediate element.

[0147] (3) In the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other to obtain new embodiments.

[0148] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of air poling a piezoelectric ceramic sheet, characterized by, Comprising: S1: obtaining a piezoelectric ceramic sheet to be polarized; S2: pretreating the piezoelectric ceramic sheet; S3: heating the pretreated piezoelectric ceramic sheet to a preset temperature range; S4: constructing an air polarization platform of the piezoelectric ceramic sheet; S5: applying an electric field to the heated piezoelectric ceramic sheet according to the air polarization platform, and polarizing; S6: modeling the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during polarization by an artificial neural network; S7: automatically adjusting the electric field strength and duration of the applied electric field according to the output of the artificial neural network until the piezoelectric properties reach a steady state; S8: obtaining the electric field strength and duration when the piezoelectric properties reach the steady state; S9: polarizing the piezoelectric ceramic sheet according to the electric field strength and the duration.

2. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized in that, The S2 specifically comprises: S201: surface cleaning the piezoelectric ceramic sheet; S202: drying the cleaned piezoelectric ceramic sheet; S203: evenly applying silver electrodes to the surface of the dried piezoelectric ceramic sheet to make the piezoelectric ceramic sheet conductive.

3. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The S4 specifically is: connecting the electrodes directly to the surface of the piezoelectric ceramic sheet by a contact connection method to construct the air polarization platform of the piezoelectric ceramic sheet.

4. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The S5 specifically comprises: S501: determining the coercive electric field according to the material properties of the piezoelectric ceramic sheet; S502: determining the electric field strength of polarization according to the coercive electric field; S503: determining the minimum electric field strength required for polarization by calculating the strain according to the electric field strength; S504: calculating the dielectric constant of the piezoelectric ceramic sheet under the condition of the minimum electric field strength to complete the polarization of the heated piezoelectric ceramic sheet.

5. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The polarization parameters specifically include: polarization temperature, polarization electric field strength, polarization time, and BT mass fraction of the piezoelectric ceramic sheet.

6. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The piezoelectric properties include: piezoelectric constant, dielectric constant, and beta phase ratio.

7. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The S6 specifically comprises: S601: obtaining the polarization temperature, polarization electric field strength, and polarization time during polarization; S602: modeling the polarization parameters and piezoelectric properties of the piezoelectric ceramic sheet during polarization by taking the polarization parameters as the input of the artificial neural network and the piezoelectric properties as the output of the artificial neural network.

8. The air poling method of piezoelectric ceramic sheets according to claim 1, characterized by, The S7 specifically comprises: S701: predicting the piezoelectric constant, dielectric constant, and beta phase ratio according to the modeling results and combining the activation function; S702: calculating the root mean square error and the determination coefficient of the artificial neural network respectively according to the predicted piezoelectric constant, dielectric constant, and beta phase ratio; S703: determining the optimal polarization electric field strength and optimal polarization time under the condition of the minimum root mean square error and the maximum determination coefficient; S704: automatically adjusting the electric field strength and duration of the applied electric field according to the optimal polarization electric field strength and the optimal polarization time until the piezoelectric properties reach a steady state.

9. The air poling method of piezoelectric ceramic sheets according to claim 8, characterized in that, The activation function specifically includes: hyperbolic tangent function, linear transfer function, and logarithmic S-shaped function.

10. An air poling system for piezoelectric ceramic discs, characterized by Comprising: a processor; A memory having computer readable instructions stored thereon for implementing the method of air poling a piezoelectric ceramic sheet as claimed in any one of claims 1 to 9 when executed by the processor.

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