Construction method and system of IPMC driving model based on cluster microstructure analysis

Abstract

The present invention provides a method and system for constructing an IPMC driving model based on cluster microstructure analysis, and relates to the technical field of material structure design. The present invention first selects a typical IPMC sample and cuts it to a thickness of less than 100 nm, captures the distribution and morphology of nanoclusters by a high-resolution transmission electron microscope, and uses a small-angle X-ray scattering device to record the scattering spectrum and calculate the average radius and internal structure of the nanoclusters. A cluster structure model is established in molecular dynamics simulation software, and simulation parameters such as temperature, frequency, and electric field strength are set and ion behavior is recorded. The simulation parameters are optimized by a genetic algorithm to maximize the driving efficiency, and the IPMC performance is simulated in a finite element analysis software. According to the simulation results, suitable monomers and cross-linking agents are selected to synthesize new ionic polymers, and their electric field response and fatigue resistance are measured, and the chemical composition and metal composite layer structure are adjusted to meet the target requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of material structure design, and in particular to a construction method and system of an IPMC driving model based on cluster microstructure analysis. Background Art

[0002] Ionic polymer metal composites are a new type of intelligent material. They are widely used in artificial muscles, microrobots, biomedical devices and other fields because they can respond quickly and deform under the action of electric fields. However, existing IPMC materials still have obvious deficiencies in driving efficiency and response time, which restricts the scope and effect of their practical applications. Specifically, due to the lack of in-depth analysis and optimization of nanoscale microstructures, traditional IPMC materials have low energy conversion efficiency and slow response speed under electric field drive, and are prone to fatigue failure after long-term operation. Therefore, there is an urgent need for a method to construct an IPMC model based on microstructure analysis to optimize the microstructure of the model and improve the overall performance.

[0003] In the prior art, publication number CN110136782B discloses a method for constructing a metal oxide cluster structure model, which obtains characteristic parameters of a target metal oxide, extracts the configuration of a cluster basic structure unit of the target metal oxide according to the characteristic parameters, selects and adjusts a polyhedral topological structure assembly template, assembles and constructs the cluster basic structure unit on the polyhedral topological structure assembly template structure, obtains the basic configuration of the metal oxide cluster, optimizes the basic configuration and determines the stability of the structure, and selects a configuration without structural errors and with stable energy as the actual metal oxide cluster structure model.

[0004] The main problems with the above method are: first, the basic structure of the cluster is constructed according to the polyhedral topological structure assembly template, and then optimization is performed. Certain optimization measures are not taken when constructing the basic structure of the cluster. Direct optimization requires a lot of computing resources and time, especially for larger cluster structures; it mainly focuses on static structure optimization, and lacks optimization of the dynamic behavior of the cluster in the actual environment, which affects the versatility of the structural model.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for constructing an IPMC driving model based on cluster microstructure analysis to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for constructing an IPMC driving model based on cluster microstructure analysis, the specific steps include:

[0009] Step 1: Select an IPMC sample containing a typical ionic polymer and metal composite layer structure, and cut the sample so that the sample thickness is less than 100 nm;

[0010] Step 2: Take images of the samples using a high-resolution transmission electron microscope with sub-nanometer resolution to record the distribution and morphology of the nanoclusters;

[0011] Step 3: Record the scattering pattern of the sample through a small-angle X-ray scattering device, establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure;

[0012] Step 4: Establish a cluster structure model in molecular dynamics simulation software according to the distribution, morphology, average radius and internal structure of the nanoclusters, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and velocity of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength;

[0013] Step 5: The electric energy applied by the electric field to the IPMC material is taken as the input power, and the mechanical energy generated by the IPMC material under the action of the electric field is taken as the output power. A fitness function reflecting the driving efficiency of the electric field is generated based on the input power and the output power. The driving efficiency of the fitness function is maximized as the optimization goal, and the values ​​of the simulation parameters are optimized through the genetic algorithm.

[0014] Step 6: Input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters;

[0015] Step 7: Select appropriate monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model based on the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers through a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements, wherein the target performance includes conductivity, mechanical strength and deformation capacity.

[0016] Further, typical ionomers include perfluorosulfonic acid polymers, polyvinyl alcohol, and polystyrene sulfonic acid, and metal composite layers include platinum, silver, and copper.

[0017] Furthermore, the formula based on which the mathematical model is established is:

[0018] ;

[0019] in, represents the scattering intensity, represents the incident light intensity, represents the scattering vector, represents the root mean square radius of the cluster;

[0020] The average radius of the nanoclusters is:

[0021] ;

[0022] in, represents the average radius of the nanoclusters.

[0023] Furthermore, the formula for calculating the electric field force on the ions is:

[0024] ;

[0025] in, represents the electric force exerted on the ion, represents the charge carried by the ion, Indicates the electric field strength;

[0026] The formula for calculating the change in ion position is:

[0027] ;

[0028] in, Indicates the time at which ions The location of represents the initial position of the ion, Indicates the time at which ions The speed at and represents different points in time, and ;

[0029] The formula for calculating ion velocity is:

[0030] ;

[0031] in, Indicates the time at which ions The speed at which the

[0032] Furthermore, the principle for generating the fitness function is:

[0033] ;

[0034] ;

[0035] ;

[0036] ;

[0037] in, represents the input power, Indicates the voltage applied to IPMC, Indicates the current passing through IPMC, Indicates the output power, It represents the mechanical work generated during the deformation of IPMC. Indicates the time required for deformation. represents the force generated during the deformation process, Indicates the distance the IPMC moves during the deformation process, Represents the fitness function.

[0038] Furthermore, the formula for generating the bending angle of the IPMC material is:

[0039] ;

[0040] in, Indicates the bending angle of IPMC material, represents the bending moment, Indicates the length of IPMC material. represents the Young's modulus of IPMC material, represents the section moment of inertia.

[0041] Furthermore, the principle for adjusting the chemical composition of the ionomer and the structure of the metal composite layer according to the fatigue resistance is as follows:

[0042] When fatigue resistance does not meet the target requirements, adjustments to the chemical composition include: selecting PVDF high-strength polymer monomers and flexible polymers; increasing the concentration of the cross-linking agent or selecting a cross-linking agent such as glutaraldehyde to enhance the cross-linking degree between polymer chains; adding platinum, silver, copper or ceramic nanoparticles to the polymer;

[0043] Adjustments to the metal composite layer structure include: increasing the thickness of the metal composite layer and determining the optimal thickness of the metal composite layer through experiments; adopting a multi-layer composite structure and adding an interlayer metal film to the polymer matrix to disperse stress; and improving the interface bonding strength between the metal layer and the polymer matrix through plasma treatment or an interface coupling agent.

[0044] The present invention also provides a system for constructing an IPMC driving model based on cluster microstructure analysis, and the system is used to implement the above-mentioned method for constructing an IPMC driving model based on cluster microstructure analysis, specifically comprising:

[0045] A sample cutting module is used to select IPMC samples containing typical ionic polymer and metal composite layer structures and cut the samples so that the sample thickness is less than 100 nm;

[0046] The morphology acquisition module is used to collect images of samples through a high-resolution transmission electron microscope with a resolution of sub-nanometer level to record the distribution and morphology of nanoclusters;

[0047] The structure acquisition module is used to record the scattering pattern of the sample through a small-angle X-ray scattering device, and to establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure;

[0048] An electric field simulation module is used to establish a cluster structure model according to the distribution, morphology, average radius and internal structure of the nanoclusters in the molecular dynamics simulation software, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and speed of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength;

[0049] The parameter optimization module is used to take the electric energy applied by the electric field on the IPMC material as the input power and the mechanical energy generated by the IPMC material under the action of the electric field as the output power. Based on the input power and the output power, a fitness function is generated to reflect the driving efficiency of the electric field. The driving efficiency of the fitness function is maximized as the optimization goal, and the values ​​of the simulation parameters are optimized through a genetic algorithm.

[0050] The model simulation module is used to input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters;

[0051] The structural synthesis module is used to select suitable monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model according to the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers through a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements. The target performance includes conductivity, mechanical strength and deformation capacity.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] The present invention collects basic morphological data of nanoclusters through a high-resolution transmission electron microscope and a small-angle X-ray scattering device, and through detailed microstructure data, enables subsequent molecular dynamics simulation and genetic algorithm optimization to have reliable initial conditions and limit parameters, thereby ensuring the accuracy and practicality of the optimization results; establishes a cluster structure model in the simulation software, flexibly sets a variety of simulation parameters, comprehensively analyzes the IPMC material behavior under various conditions, and records and analyzes the dynamic information of ions under the action of an electric field in detail, thereby improving the performance of IPMC in practical applications; and evaluates the driving performance of the IPMC material through a genetic algorithm, thereby optimizing the simulation parameters, and being able to quickly find a more optimal parameter combination to maximize the driving efficiency.

[0054] The present invention also uses the optimized simulation parameters to establish an IPMC simulation model, and uses finite element software to simultaneously analyze multiple variables to provide a comprehensive performance evaluation of the model; based on the simulation model and the optimization parameters, IPMC materials that meet the requirements are directionally synthesized, and fatigue resistance tests are performed on the materials to ensure the long-term stability and reliability of the materials in practical applications, forming a closed-loop feedback system from simulation optimization to actual synthesis to performance optimization, thereby continuously improving the performance of the IPMC drive model. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a schematic diagram of a method flow chart of an embodiment of the present invention;

[0056] Figure 2 Schematic diagram of system modules according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0058] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0059] Example:

[0060] See also Figure 1 , the present invention provides a technical solution:

[0061] The construction method of the IPMC driving model based on cluster microstructure analysis includes the following steps:

[0062] Step 1: Select an IPMC sample containing a typical ionic polymer and metal composite layer structure, and cut the sample so that the sample thickness is less than 100 nm;

[0063] In this embodiment, typical ionic polymers include perfluorosulfonic acid polymer, polyvinyl alcohol and polystyrene sulfonic acid, and the metal composite layer includes platinum, silver and copper.

[0064] The samples are cut so that the thickness is less than 100nm. This is to ensure that the samples can be accurately observed under a high-resolution transmission electron microscope. Thin samples can provide better contrast and resolution, ensuring that the details of the nanostructure can be clearly observed. Samples that are too thick are prone to thermal damage and radiation loss under a high-resolution transmission electron microscope, affecting the observation results.

[0065] Step 2: Take images of the samples using a high-resolution transmission electron microscope with sub-nanometer resolution to record the distribution and morphology of the nanoclusters;

[0066] In this embodiment, the cut sample is placed on the sample holder of the high-resolution transmission electron microscope. The acceleration voltage of the high-resolution transmission electron microscope is adjusted in the range of 100~300KV according to the sample material and thickness. After adjusting to the appropriate magnification, the focus and correction functions are used to ensure that the image of the sample area is clear, and the high-resolution image is collected at the optimal focal length and correction state.

[0067] Step 3: Record the scattering pattern of the sample through a small-angle X-ray scattering device, establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure;

[0068] In this embodiment, the formula based on which the mathematical model is established is:

[0069] The intensity and wavelength of the X-ray source are adjusted to meet the sample requirements. The wavelength range is 0.1~0.2nm, corresponding to the energy range of 5~15keV. According to the scattering spectrum, the relationship between the scattering intensity and the scattering vector is extracted. The formula for the scattering vector is:

[0070] ;

[0071] in, represents the wavelength of X-rays, is half of the scattering angle;

[0072] ;

[0073] in, represents the scattering intensity, represents the incident light intensity, represents the scattering vector, represents the root mean square radius of the cluster;

[0074] The root mean square radius of the cluster is a statistical quantity that reflects the distribution of ions in the cluster. The cluster is approximately regarded as a sphere. The radius of the nanocluster is the geometric radius of the nanocluster, that is, the distance from the center of the cluster to the surface.

[0075] For spherical clusters, the average radius of the nanoclusters is:

[0076] ;

[0077] in, represents the average radius of the nanoclusters.

[0078] Step 4: Establish a cluster structure model in molecular dynamics simulation software according to the distribution, morphology, average radius and internal structure of the nanoclusters, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and velocity of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength;

[0079] In this embodiment, the formula for calculating the electric field force on the ions is:

[0080] ;

[0081] in, represents the electric force exerted on the ion, represents the charge carried by the ion, Indicates the electric field strength;

[0082] Electric field force is the main driving force for ion migration. By analyzing the electric field force, the optimal electric field strength applied to the IPMC material can be determined to achieve effective ion migration and achieve the best performance of the material.

[0083] The formula for calculating the change in ion position is:

[0084] ;

[0085] in, Indicates the time at which ions The location of represents the initial position of the ion, Indicates the time at which ions The speed at and represents different points in time, and ;

[0086] By calculating the position of ions, the path of ions moving in the polymer matrix under the action of the electric field can be determined. The deformation of IPMC is caused by the migration of ions. By analyzing the movement path of ions, it is helpful to subsequently optimize the deformation behavior of the material under the action of the electric field.

[0087] The formula for calculating ion velocity is:

[0088] ;

[0089] in, Indicates the time at which ions The speed at which the

[0090] The ion velocity is the migration rate of ions in the polymer matrix, which reflects the dynamic response ability of the IPMC material under different electric field conditions and helps to subsequently optimize the response speed of the IPMC.

[0091] Step 5: The electric energy applied by the electric field to the IPMC material is taken as the input power, and the mechanical energy generated by the IPMC material under the action of the electric field is taken as the output power. A fitness function reflecting the driving efficiency of the electric field is generated based on the input power and the output power. The driving efficiency of the fitness function is maximized as the optimization goal, and the values ​​of the simulation parameters are optimized through the genetic algorithm.

[0092] In this embodiment, the principle for generating the fitness function is:

[0093] ;

[0094] ;

[0095] ;

[0096] ;

[0097] in, represents the input power, Indicates the voltage applied to IPMC, Indicates the current passing through IPMC, Indicates the output power, It represents the mechanical work generated during the deformation of IPMC. Indicates the time required for deformation. represents the force generated during the deformation process, Indicates the distance the IPMC moves during the deformation process, Represents the fitness function.

[0098] The principle for optimizing the values ​​of simulation parameters is:

[0099] Each set of simulation parameter values ​​is regarded as an individual. Individuals are selected through the roulette algorithm and ranked from high to low according to fitness. A pair of adjacent individuals form parents. Genes are exchanged between the parents to generate offspring individuals. Genes are randomly selected from the offspring individuals for change. The fitness function of the individual is recalculated. The genetic operation is repeated until the preset number of iterations is reached. The simulation parameters corresponding to the individual with the highest fitness are selected as the values ​​of the simulation parameters.

[0100] The steps to select individuals with high fitness through the roulette algorithm are:

[0101] Calculate the sum of the fitness of all individuals. For each individual, divide its fitness value by the sum of the fitness of all individuals to generate the probability of selection of the corresponding individual. Build a cumulative probability table based on the selection probability of each individual, and generate a random number between 0 and 1. Select the corresponding individual in the cumulative probability table based on the random number. This can maintain the diversity of the population while selecting individuals with higher fitness.

[0102] The genes represent simulation parameters that require optimization.

[0103] Step 6: Input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters;

[0104] In this embodiment, COMSOL is used to analyze and design the material properties of the ionic polymer and the metal composite layer, including density, Young's modulus, and Poisson's ratio, and the optimized simulation parameters are input;

[0105] The formula used to generate the bend angle of IPMC material is:

[0106] ;

[0107] in, Indicates the bending angle of IPMC material, represents the bending moment, Indicates the length of IPMC material. represents the Young's modulus of IPMC material, represents the section moment of inertia.

[0108] The bending angle reflects the degree of deformation of the IPMC material under the action of the electric field. The response time refers to the observed time from the application of the electric field to the maximum deformation of the IPMC material, which reflects the migration efficiency of ions and the overall response speed of the material.

[0109] Step 7: Select appropriate monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model based on the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers through a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements, wherein the target performance includes conductivity, mechanical strength and deformation capacity.

[0110] In this embodiment, the principle for adjusting the chemical composition of the ionomer and the structure of the metal composite layer according to the fatigue resistance is as follows:

[0111] The key to optimizing IPMC is to regulate its chemical composition and physical structure to improve its electric field-driven performance and durability;

[0112] When fatigue resistance does not meet the target requirements, adjustments to the chemical composition include: selecting high-strength polymer monomers such as PVDF and flexible polymers; increasing the concentration of cross-linking agents or selecting more effective cross-linking agents such as glutaraldehyde to enhance the cross-linking between polymer chains; adding platinum, silver, copper or ceramic nanoparticles to the polymer;

[0113] Adjustments to the metal composite layer structure include: changing the thickness of the metal layer by controlling the deposition time and conditions of the metal nanoparticles, and determining the optimal thickness of the metal composite layer through experiments; adopting a multi-layer composite structure and adding an interlayer metal film to the polymer matrix to disperse stress; and improving the interface bonding strength between the metal layer and the polymer matrix through plasma treatment or interface coupling agents.

[0114] See also Figure 2 The present invention also provides a system for constructing an IPMC driving model based on cluster microstructure analysis, and the system is used to implement the above-mentioned method for constructing an IPMC driving model based on cluster microstructure analysis, specifically comprising:

[0115] A sample cutting module is used to select IPMC samples containing typical ionic polymer and metal composite layer structures and cut the samples so that the sample thickness is less than 100 nm;

[0116] The morphology acquisition module is used to collect images of samples through a high-resolution transmission electron microscope with a resolution of sub-nanometer level to record the distribution and morphology of nanoclusters;

[0117] The structure acquisition module is used to record the scattering pattern of the sample through a small-angle X-ray scattering device, and to establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure;

[0118] An electric field simulation module is used to establish a cluster structure model according to the distribution, morphology, average radius and internal structure of the nanoclusters in the molecular dynamics simulation software, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and speed of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength;

[0119] The parameter optimization module is used to take the electric energy applied by the electric field on the IPMC material as the input power and the mechanical energy generated by the IPMC material under the action of the electric field as the output power. Based on the input power and the output power, a fitness function is generated to reflect the driving efficiency of the electric field. The driving efficiency of the fitness function is maximized as the optimization goal, and the values ​​of the simulation parameters are optimized through a genetic algorithm.

[0120] The model simulation module is used to input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters;

[0121] The structural synthesis module is used to select suitable monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model according to the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers through a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements. The target performance includes conductivity, mechanical strength and deformation capacity.

[0122] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0123] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0124] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0125] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. The construction method of IPMC driving model based on cluster microstructure analysis is characterized by: The specific steps include: Step 1: Select an IPMC sample containing a typical ionic polymer and metal composite layer structure, and cut the sample so that the sample thickness is less than 100 nm; Step 2: Take images of the samples using a high-resolution transmission electron microscope with sub-nanometer resolution to record the distribution and morphology of the nanoclusters; Step 3: Record the scattering pattern of the sample through a small-angle X-ray scattering device, establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure; Step 4: Establish a cluster structure model in molecular dynamics simulation software according to the distribution, morphology, average radius and internal structure of the nanoclusters, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and velocity of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength; Step 5: The electric energy applied by the electric field to the IPMC material is taken as the input power, and the mechanical energy generated by the IPMC material under the action of the electric field is taken as the output power. A fitness function reflecting the electric field driving efficiency is generated based on the input power and the output power. The driving efficiency based on the fitness function is maximized and the values ​​of the simulation parameters are optimized through a genetic algorithm. Step 6: Input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters; Step 7: Select appropriate monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model according to the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers by a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements, and the target performance includes conductivity, mechanical strength and deformation capacity; The formula on which the mathematical model is based is: in, represents the scattering intensity, I0 represents the incident light intensity, represents the scattering vector, R g represents the root mean square radius of the cluster; The average radius of the nanoclusters is: Where g represents the average radius of the nanoclusters; The principle for generating the fitness function is: P in =V·I △W=F·d Among them, P in represents input power, V represents the voltage applied to the IPMC, I represents the current passing through the IPMC, and P out represents the output power, △W represents the mechanical work generated during the deformation of IPMC, △t represents the time required for deformation, F represents the force generated during the deformation, d represents the distance moved by IPMC during the deformation, and S represents the fitness function.

2. The method for constructing an IPMC driving model based on cluster microstructure analysis according to claim 1, characterized in that: In the step 1, typical ion polymers include perfluorosulfonic acid polymer, polyvinyl alcohol and polystyrene sulfonic acid, and the metal composite layer includes platinum, silver and copper.

3. The method for constructing an IPMC driving model based on cluster microstructure analysis according to claim 1, characterized in that: The formula for calculating the electric field force on the ions in step 4 is: F c =qE Among them, F c represents the electric force applied to the ion, q represents the charge carried by the ion, and E represents the electric field strength; The formula for calculating the change in ion position is: Where r(t) represents the position of the ion at time t, r0 represents the initial position of the ion, v(τ) represents the velocity of the ion at time τ, t and τ represent different time points, and t>τ; The formula for calculating ion velocity is: Here, v(t) represents the velocity of the ion at time t.

4. The method for constructing an IPMC driving model based on cluster microstructure analysis according to claim 1, characterized in that: The formula for generating the bending angle of the IPMC material in step 6 is: Among them, △θ represents the bending angle of IPMC material, M represents the bending moment, L represents the length of IPMC material, E Y represents the Young's modulus of IPMC material, and I0 represents the section moment of inertia.

5. The method for constructing an IPMC driving model based on cluster microstructure analysis according to claim 1, characterized in that: The principle for adjusting the chemical composition and composite layer structure of the ionomer according to the fatigue resistance in step 7 is: When fatigue resistance does not meet the target requirements, adjustments to the chemical composition include: selecting high-strength polymer monomers such as PVDF, flexible polymers; increasing the concentration of the cross-linking agent or selecting glutaraldehyde cross-linking agent to enhance the cross-linking degree between polymer chains; adding platinum, silver, copper or ceramic nanoparticles to the polymer; Adjustments to the metal composite layer structure include: increasing the thickness of the metal composite layer and determining the optimal thickness of the metal composite layer through experiments; adopting a multi-layer composite structure and adding an interlayer metal film to the polymer matrix to disperse stress; and improving the interface bonding strength between the metal layer and the polymer matrix through plasma treatment or an interface coupling agent.

6. Construction system of IPMC-driven model based on cluster microstructure analysis, characterized by: The system is used to implement the method for constructing an IPMC driving model based on cluster microstructure analysis according to any one of claims 1 to 5, specifically comprising: A sample cutting module is used to select IPMC samples containing typical ionic polymer and metal composite layer structures and cut the samples so that the sample thickness is less than 100 nm; The morphology acquisition module is used to collect images of samples through a high-resolution transmission electron microscope with a resolution of sub-nanometer level to record the distribution and morphology of nanoclusters; The structure acquisition module is used to record the scattering pattern of the sample through a small-angle X-ray scattering device, and to establish a mathematical model to fit the scattering data, calculate the average radius of the nanoclusters and record the internal structure; An electric field simulation module is used to establish a cluster structure model according to the distribution, morphology, average radius and internal structure of the nanoclusters in the molecular dynamics simulation software, set simulation parameters and run the simulation, and record the electric field force acting on the ions of the nanoclusters and the position change and speed of the ions under the set simulation parameters, wherein the simulation parameters include temperature, frequency and electric field strength; The parameter optimization module is used to take the electric energy applied by the electric field on the IPMC material as input power and the mechanical energy generated by the IPMC material under the action of the electric field as output power, generate a fitness function reflecting the electric field driving efficiency based on the input power and the output power, and optimize the values ​​of the simulation parameters through a genetic algorithm based on the maximization of the driving efficiency of the fitness function; The model simulation module is used to input the optimized simulation parameters into the finite element analysis software, establish the simulation model of IPMC, run the simulation model, and record the bending angle and response time of the IPMC material under the optimized simulation parameters; The structural synthesis module is used to select suitable monomers and cross-linking agents according to actual needs, synthesize new ionic polymers according to the IPMC simulation model according to the target performance, measure the bending angle and response time of the new ionic polymers under electric fields of different frequencies, evaluate the fatigue resistance of the new ionic polymers through a fatigue tester, and adjust the chemical composition and metal composite layer structure in the ionic polymer according to the fatigue resistance so that the fatigue resistance meets the target requirements. The target performance includes conductivity, mechanical strength and deformation capacity.

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