Method and system for performance optimization of engine stealth coating service components

Abstract

This invention provides a method and system for optimizing the performance of engine stealth coating components in service, belonging to the field of high-temperature engine technology. The method includes: acquiring measured data from the service environment to construct a coating substrate model and a thermo-mechanical coupling and radiation force control model; generating a non-uniform heat flux load distribution based on the coating substrate model, and combining this with the control model to obtain the high-temperature surface temperature gradient trend to obtain the stealth coating stress distribution; dividing the coating substrate model into a dense interface region and a defect edge region based on this distribution; obtaining a coating substrate mesh model based on a hexahedral mesh of the dense interface region and a tetrahedral mesh of the defect edge region; obtaining predicted stress distribution data based on this mesh model to obtain the interface delamination crack initiation path; and predicting the stealth coating life degradation trend based on this crack initiation path to optimize the performance of the target engine stealth coating components in service. This invention can improve the reliability of performance optimization for engine stealth coating components in service.

Description

Technical Field

[0001] This invention relates to the field of high-temperature engine technology, and in particular to a method and system for optimizing the performance of engine stealth coating components in service. Background Technology

[0002] During high-speed operation, engines emit large amounts of infrared energy from their high-temperature components, making them easily detectable by infrared detectors and thus exposing targets. Furthermore, in practical applications, engine stealth coating components operate under harsh conditions of alternating high pressure and extreme temperatures for extended periods. Consequently, the lifespan of the infrared stealth coating on these components is extremely short in complex service environments. Traditional performance optimization schemes for engine stealth coating components typically only apply a single temperature or pressure load for performance evaluation. This leads to significant deviations between the failure mechanism and performance degradation model of the coating under combined loads. Performance optimization based on traditional schemes suffers from distorted mechanical response assessments and optimization directions that deviate from actual requirements.

[0003] To address the aforementioned issues, existing technologies employ image processing, 3D reconstruction, edge detection, and crack parameter extraction to identify and quantify surface defects. They utilize the Paris formula to predict crack propagation trends and combine it with the Weibull distribution for remaining life prediction. In crack propagation analysis, the finite element method is used to calculate the stress intensity factor, and the coupling effects of electrical, mechanical, and thermal multiphysics fields are considered, which improves the accuracy of coating life assessment to some extent. However, these existing technologies do not differentiate between localized stress concentration areas caused by heterogeneous structures within the coating, making it difficult to accurately obtain stress distribution data at interfaces and defect edges, leading to distorted predictions of coating life degradation trends. Applying these existing technologies to the performance optimization of engine stealth coating components presents the problem of failing to effectively avoid interface delamination and crack propagation risks, significantly reducing the reliability of performance optimization for engine stealth coating components. Summary of the Invention

[0004] The present invention aims to provide a method and system for optimizing the performance of engine stealth coating service components, so as to solve the above-mentioned technical problems and improve the reliability of performance optimization of engine stealth coating service components.

[0005] To address the aforementioned technical problems, this invention provides a method for optimizing the performance of engine stealth coating components in service, comprising the following steps: Obtain measured service environment data of the target engine stealth coating components, and construct a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data; Based on the coating substrate model, a non-uniform heat flux load distribution is generated under a preset radiative transfer algorithm, and the temperature gradient change trend of the high-temperature surface is obtained according to the thermo-mechanical coupling and radiative force control model and the non-uniform heat flux load distribution. The stress distribution of the stealth coating is obtained based on the temperature gradient change trend of the high-temperature surface, and the coating substrate model is divided into a densified interface region and a defect edge region under the stress distribution of the stealth coating; Based on the encrypted interface region, the coating substrate model is divided into hexahedral meshes at a preset mesh density to obtain a preliminary coating substrate mesh model. Based on the defect edge region, the preliminary coating substrate mesh model is divided into tetrahedral meshes at a preset mesh density to obtain a coating substrate mesh model. A preset high-temperature cycle and environmental pressure are applied to the coating substrate mesh model to obtain the estimated stress distribution data; Based on the estimated stress distribution data, the initiation path of interfacial delamination cracks is obtained under a preset fracture mechanics analysis algorithm, and the life degradation trend of the stealth coating is predicted based on the initiation path of the interfacial delamination cracks. Based on the life degradation trend of the stealth coating, the performance of the stealth coating components of the target engine in service is optimized.

[0006] In the above scheme, the non-uniform heat flux load distribution generated by the coating substrate model is processed based on a preset radiative transfer algorithm. Combined with a thermo-coupling and radiative force control model, a high-temperature surface temperature gradient trend is obtained that accurately reflects the temperature cycling and pressure fluctuations experienced by the engine stealth coating under real service conditions. Subsequently, based on the stealth coating stress distribution obtained from this high-temperature surface temperature gradient trend, the dense interface region and defect edge region obtained from the coating substrate model are divided with high accuracy. Since the stress transmission and distribution in different regions have different physical characteristics, a hexahedral mesh is used for the dense interface region, and a tetrahedral mesh is used for the defect edge region to form the coating substrate mesh model. This differentiated meshing process... The obtained coating substrate mesh model can significantly improve the accuracy of the estimated stress distribution data obtained under subsequent high-temperature cycling and environmental pressure, providing reliable support for the accurate prediction of subsequent life degradation trends. The interface delamination crack initiation path obtained by this scheme based on the estimated stress distribution data is matched with the actual working conditions of the coated service components. The life degradation trend of the stealth coating is predicted based on the interface delamination crack initiation path, which can improve the accuracy of the obtained stealth coating life degradation trend. Based on the life degradation trend, the performance of the target engine stealth coating service components is optimized, which can effectively reduce the risk of performance optimization failure caused by stress assessment distortion or life prediction deviation in traditional schemes, and improve the reliability of performance optimization of engine stealth coating service components.

[0007] Furthermore, the step of acquiring measured service environment data of the target engine stealth coating component and constructing a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data includes: acquiring measured service environment data of the target engine stealth coating component and constructing a preliminary coating substrate model based on the measured service environment data; generating a thermo-coupling and radiation force control model under preset coating material characteristic data based on the preliminary coating substrate model and the measured service environment data; and obtaining a coating substrate model under preset thermal boundary conditions based on the preliminary coating substrate model and the thermo-coupling and radiation force control model.

[0008] In the above scheme, firstly, measured service environment data of the target engine stealth coating component is obtained, and a preliminary coating substrate model is constructed based on this data. This ensures that the basic parameters of the obtained model, such as geometric dimensions and coating thickness, match the actual component. Subsequently, based on the preliminary coating substrate model and the measured service environment data, a thermo-mechanical coupling and radiation force control model is generated under preset coating material characteristic data. This control model can describe the dynamic coupling relationship between the temperature field and the stress field. Finally, based on the preliminary coating substrate model and the thermo-mechanical coupling and radiation force control model, the final coating substrate model is obtained under preset thermal boundary conditions. Through the above construction process of the coating substrate model and the thermo-mechanical coupling and radiation force control model, the obtained coating substrate model has a high degree of matching with the actual component, and the obtained thermo-mechanical coupling and radiation force control model can effectively reflect the thermo-mechanical synergistic effect borne by the coating component, thereby improving the reliability of the subsequent stealth coating life degradation trend and the reliability of performance optimization of the engine stealth coating component.

[0009] Furthermore, before generating the thermal coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment under preset coating material characteristic data, the method further includes: obtaining coating surface cross-sectional morphology data and coating material layer contact type based on the measured data of the service environment; obtaining the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure based on the coating surface cross-sectional morphology data; converting the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure into a topological structure to obtain the coating optical load distribution; and updating the preliminary coating substrate model based on the surface cross-sectional morphology data, the coating optical load distribution, and the coating material layer contact type of the measured data of the service environment.

[0010] The above scheme obtains coating surface cross-sectional morphology data and coating material layer contact types based on measured data from the service environment. The surface cross-sectional morphology data reflects the true geometric features of the coating surface and the distribution morphology of internal heterostructures. Based on this data, the scattering characteristic aperture, defect shape, and distribution density of the stealth coating heterostructures are obtained and converted into a topological structure to obtain the coating optical load distribution. This optical load distribution can quantify the scattering, reflection, and absorption effects of the heterostructures on infrared radiation, effectively reflecting differences in local thermal distribution. This scheme updates the preliminary coating substrate model based on the surface cross-sectional morphology data, coating optical load distribution, and coating material layer contact types. The updated model not only covers the contact relationships between coating layers but also the local optical load characteristics induced by heterostructures. This further improves the matching degree between the subsequent coating substrate model obtained from the preliminary model and the actual service environment, thereby improving the accuracy of predicting the life degradation trend of the stealth coating and enhancing the reliability of performance optimization for engine stealth coating service components.

[0011] Furthermore, the step of generating a thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment under preset coating material characteristic data includes: obtaining the thermal expansion stress-strain relationship under preset high-temperature cycling conditions based on the measured data of the service environment external thermo-coupling load; obtaining a thermo-coupling model based on the preliminary coating substrate model and the thermal expansion stress-strain relationship under preset coating material characteristic data; obtaining a radiation force control model based on the thermo-coupling model and the coating substrate model, and generating a thermo-coupling and radiation force control model based on the radiation force control model and the thermo-coupling model.

[0012] The above scheme, based on external thermo-coupled loads from measured data in the service environment, obtains the thermal expansion stress-strain relationship under preset high-temperature cycling conditions. This relationship reflects the intrinsic correlation between the thermal expansion characteristics and stress response of the coating material under temperature cycling. Subsequently, based on the preliminary coating substrate model and the thermal expansion stress-strain relationship, a thermo-coupled model is obtained under preset coating material characteristic data. This obtained thermo-coupled model can describe the dynamic process of stress change with temperature under thermal cycling of the stealth coating. Furthermore, this scheme obtains a radiation force control model based on the thermo-coupled model and the coating substrate model. This radiation force control model is used to describe the stealth... The correlation between the infrared radiation characteristics and heat flow distribution of the stealth coating under service environment is investigated. This correlation is then integrated with the aforementioned thermo-mechanical coupling model to form a thermo-mechanical coupling and radiation force control model that can simultaneously characterize the thermo-mechanical synergy and radiation effects. This control model unifies the temperature field, stress field, and radiation force into a unified control model, improving the accuracy of the subsequently generated non-uniform heat flow load distribution and the temperature gradient change trend of the high-temperature surface. This, in turn, enhances the accuracy of subsequent stress distribution calculations and the reliability of crack initiation path prediction, thereby ensuring the reliability of performance optimization based on life degradation trends and improving the reliability of performance optimization of engine stealth coating service components.

[0013] Further, the process of dividing the coating substrate model into hexahedral meshes based on the encrypted interface region at a preset mesh density to obtain a preliminary coating substrate mesh model, and dividing the preliminary coating substrate mesh model into tetrahedral meshes based on the defect edge region at a preset mesh density to obtain a coating substrate mesh model, includes: obtaining an adaptive step size based on the thermo-coupling and radiation force control model under a preset implicit time integration algorithm; extracting the stress-strain relationship during the heating and cooling stages in the coating substrate model according to the adaptive step size, and obtaining the shear stress and normal stress of the stealth coating interface region based on the stress-strain relationship during the heating and cooling stages; obtaining the critical inflection point of material layer peeling stress based on the shear stress and normal stress of the stealth coating interface region; obtaining a historical coating substrate mesh model, and comparing and analyzing the critical inflection point of material layer peeling stress with the historical coating substrate mesh model to obtain an optimized mesh density, and using the optimized mesh density as the mesh density.

[0014] The above scheme obtains an adaptive step size based on a thermo-coupling and radiation force control model. This adaptive step size can be shortened to improve accuracy during periods of drastic stress or temperature changes, and lengthened during periods of gradual change to improve solution efficiency, thereby enhancing the accuracy of the stress-strain relationships obtained during the subsequent heating and cooling stages. The heating and cooling stages represent the most drastic stress changes during thermal cycling of the stealth coating. The stress-strain relationships extracted during these stages can accurately reflect the mechanical response characteristics of the interface region. Based on these stress-strain relationships, the shear stress and normal stress of the stealth coating interface region are obtained, thus providing a material analysis result reflecting the transition point from elastic deformation to damage evolution at the coating interface. By comparing the critical inflection point of material layer peel stress with the historical coating substrate mesh model, it is possible to identify areas where the preset mesh density is insufficient to accurately capture the stress peak and to deduce the optimized mesh density. This allows the mesh generation to be adaptively adjusted based on the aforementioned thermo-coupling and radiation force control model, coating substrate model, and historical coating substrate mesh model, ensuring sufficient mesh resolution in the stress concentration area of ​​the interface. This improves the accuracy of subsequent stress distribution data prediction, thereby improving the accuracy of subsequent crack initiation path prediction. Ultimately, this ensures the accuracy of performance optimization based on life degradation trends and improves the reliability of performance optimization of engine stealth coating components in service.

[0015] Furthermore, the step of obtaining the interface delamination crack initiation path based on the estimated stress distribution data under a preset fracture mechanics analysis algorithm, and predicting the stealth coating life degradation trend based on the interface delamination crack initiation path, includes: obtaining the interlayer interface delamination crack initiation path based on the coating substrate model under a preset finite element method algorithm; deriving the relationship between crack propagation rate and stress distribution based on the estimated stress distribution data and the interlayer interface delamination crack initiation path; and obtaining the stealth coating life degradation trend based on the relationship between crack propagation rate and stress distribution under a preset fatigue life prediction algorithm.

[0016] In the above scheme, the finite element method algorithm can track the crack initiation and propagation process without re-meshing, identify the region at the interlayer interface that meets the crack initiation conditions, and thus obtain the interlayer interface layered crack initiation path that reflects the path trajectory of the crack from its initial position to its propagation. Based on the estimated stress distribution data and the interlayer interface layered crack initiation path, the relationship between crack propagation rate and stress distribution is deduced. The crack propagation rate determines the time process from crack initiation to final failure of the coating, so that the subsequent life prediction can accurately reflect the effect of stress distribution characteristics on the coating failure process, avoiding the prediction deviation problem caused by ignoring the influence of stress distribution in traditional schemes. This improves the accuracy of the obtained stealth coating life degradation trend and enhances the reliability of performance optimization of engine stealth coating service components.

[0017] Further, the step of obtaining the stealth coating life degradation trend based on the crack propagation rate and stress distribution relationship under a preset fatigue life prediction algorithm includes: acquiring measured service environment thermo-mechanical coupling data of the stealth coating, coating service environment measurement results, and composite load failure mode data; performing residual comparison based on the crack propagation rate and stress distribution relationship and the measured service environment thermo-mechanical coupling data of the stealth coating to obtain interlayer interface stress deviation results; performing least squares fitting based on the interlayer interface stress deviation results and the coating service environment measurement results to obtain measured deviation results, and obtaining coating material property parameters based on the measured deviation results; correcting the thermo-mechanical coupling and radiation force control model based on the coating material property parameters and the composite load failure mode data to obtain a corrected thermo-mechanical coupling and radiation force control model; and obtaining the stealth coating life degradation trend based on the corrected thermo-mechanical coupling and radiation force control model.

[0018] Furthermore, the performance optimization of the target engine stealth coating service components based on the stealth coating life degradation trend includes: locating high stress concentration areas in the coating substrate model based on the estimated stress distribution data; performing reverse adjustments based on the high stress concentration areas and the estimated stress distribution data to generate a collaborative performance optimization model corresponding to the stealth coating life degradation trend; generating a stealth coating performance optimization path based on the collaborative performance optimization model; and optimizing the performance of the target engine stealth coating service components based on the stealth coating performance optimization path.

[0019] The above scheme uses estimated stress distribution data to locate high-stress concentration areas in the coating substrate model, reflecting the high-risk locations where the stealth coating is most prone to interface delamination and crack initiation during service. Then, based on the high-stress concentration areas and estimated stress distribution data, a synergistic performance optimization model corresponding to the stealth coating's life degradation trend is generated through reverse adjustment. This synergistic performance optimization model can effectively reduce the peak interface stress and delay the crack initiation and propagation process, thus exhibiting better service performance in terms of life degradation trend. Therefore, performance optimization based on the generated stealth coating performance optimization path can reduce the risk of optimization failure caused by stress assessment distortion or life prediction deviation, and improve the reliability of performance optimization of engine stealth coating service components.

[0020] This invention also provides a performance optimization system for engine stealth coating service components, used to implement any of the above-mentioned engine stealth coating service component performance optimization methods, including: a model building module, used to acquire measured service environment data of the target engine stealth coating service component, and construct a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data; a temperature gradient change trend acquisition module, used to generate a non-uniform heat flux load distribution based on the coating substrate model under a preset radiation transfer algorithm, and obtain the high-temperature surface temperature gradient change trend according to the thermo-coupling and radiation force control model and the non-uniform heat flux load distribution; a region division module, used to obtain the stealth coating stress distribution according to the high-temperature surface temperature gradient change trend, and divide the coating substrate model into a dense interface region and a defect edge region under the stealth coating stress distribution; a non-uniform mesh The system comprises the following modules: a mesh generation module for dividing the coating substrate model into hexahedral meshes at a preset mesh density based on the encrypted interface region to obtain a preliminary coating substrate mesh model, and tetrahedral meshes at a preset mesh density based on the defect edge region to obtain a final coating substrate mesh model; a stress distribution prediction module for applying preset high-temperature cycling and environmental pressure to the coating substrate mesh model to obtain predicted stress distribution data; a coating life degradation trend prediction module for obtaining the interface delamination crack initiation path based on the predicted stress distribution data using a preset fracture mechanics analysis algorithm, and predicting the stealth coating life degradation trend based on the interface delamination crack initiation path; and a coating service component performance optimization module for optimizing the performance of the target engine stealth coating service components based on the stealth coating life degradation trend.

[0021] Furthermore, the model building module is used to acquire measured service environment data of the target engine stealth coating service components, and to build a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data. This includes: acquiring measured service environment data of the target engine stealth coating service components, and building a preliminary coating substrate model based on the measured service environment data; generating a thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured service environment data, under preset coating material characteristic data; and obtaining the coating substrate model under preset thermal boundary conditions based on the preliminary coating substrate model and the thermo-coupling and radiation force control model.

[0022] The above scheme processes the non-uniform heat flux load distribution generated by the coating substrate model based on a preset radiative transfer algorithm. Combined with a thermo-coupling and radiative force control model, it obtains a high-temperature surface temperature gradient trend that accurately reflects the temperature cycling and pressure fluctuations experienced by the engine stealth coating under real service conditions. Subsequently, based on the stealth coating stress distribution obtained from this high-temperature surface temperature gradient trend, the dense interface region and defect edge region obtained from the coating substrate model are divided with high accuracy. Furthermore, a coating substrate mesh model is formed by using hexahedral meshes for the dense interface region and tetrahedral meshes for the defect edge region. The resulting coating... The layered matrix mesh model can significantly improve the accuracy of the estimated stress distribution data obtained under subsequent high-temperature cycling and environmental pressure, providing reliable support for the accurate prediction of subsequent life degradation trends. This scheme matches the interface delamination crack initiation path obtained from the estimated stress distribution data with the actual working conditions of the coated components, and then predicts the life degradation trend of the stealth coating based on the interface delamination crack initiation path. This can improve the accuracy of the obtained stealth coating life degradation trend, thereby effectively reducing the risk of performance optimization failure caused by stress assessment distortion or life prediction deviation in traditional schemes, and improving the reliability of performance optimization of engine stealth coating components. Attached Figure Description

[0023] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 A flowchart illustrating the technical implementation of a method for optimizing the performance of engine stealth coating service components, as provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of a system architecture for optimizing the performance of engine stealth coating service components, provided as an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0027] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0028] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0029] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0030] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0031] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0032] Please see Figure 1 This embodiment provides a method for optimizing the performance of engine stealth coating components in service, including the following steps: Step S1: Obtain the measured service environment data of the target engine stealth coating components, and construct the coating substrate model and the thermo-coupling and radiation force control model based on the measured service environment data; Step S2: Based on the coating substrate model, a non-uniform heat flux load distribution is generated under a preset radiative transfer algorithm, and the temperature gradient change trend of the high-temperature surface is obtained according to the thermo-mechanical coupling and radiative force control model and the non-uniform heat flux load distribution. Step S3: Obtain the stealth coating stress distribution based on the temperature gradient change trend of the high-temperature surface, and divide the coating substrate model into a densified interface region and a defect edge region under the stealth coating stress distribution; Step S4: Based on the encrypted interface region, the coating substrate model is divided into hexahedral meshes at a preset mesh density to obtain a preliminary coating substrate mesh model. Based on the defect edge region, the preliminary coating substrate mesh model is divided into tetrahedral meshes at a preset mesh density to obtain a coating substrate mesh model. Step S5: Apply a preset high-temperature cycle and environmental pressure to the coating substrate mesh model to obtain the estimated stress distribution data; Step S6: Based on the estimated stress distribution data, the initiation path of interface delamination cracks is obtained under the preset fracture mechanics analysis algorithm, and the life degradation trend of the stealth coating is predicted based on the interface delamination crack initiation path. Step S7: Optimize the performance of the stealth coating components of the target engine based on the life degradation trend of the stealth coating.

[0033] In the above embodiments, the non-uniform heat flux load distribution generated by the coating substrate model is processed based on a preset radiative transfer algorithm. Combined with a thermo-coupling and radiative force control model, a high-temperature surface temperature gradient change trend is obtained that accurately reflects the temperature cycling and pressure fluctuations experienced by the engine stealth coating under real service conditions. Subsequently, based on the stealth coating stress distribution obtained from this high-temperature surface temperature gradient change trend, the dense interface region and defect edge region obtained from the coating substrate model are divided with high accuracy. Since the stress transmission and distribution in different regions have different physical characteristics, a hexahedral mesh is used for the dense interface region, and a tetrahedral mesh is used for the defect edge region to form the coating substrate mesh model. This differentiated meshing process... The obtained coating substrate mesh model can significantly improve the accuracy of the estimated stress distribution data obtained under subsequent high-temperature cycling and environmental pressure, providing reliable support for the accurate prediction of subsequent life degradation trends. In this embodiment, the interface delamination crack initiation path obtained based on the estimated stress distribution data is matched with the actual working conditions of the coated service components. The life degradation trend of the stealth coating is predicted based on the interface delamination crack initiation path, which can improve the accuracy of the obtained stealth coating life degradation trend. Based on the life degradation trend, the performance of the target engine stealth coating service components is optimized, which can effectively reduce the risk of performance optimization failure caused by stress assessment distortion or life prediction deviation in traditional solutions, and improve the reliability of performance optimization of engine stealth coating service components.

[0034] It should be noted that the stealth coating includes an infrared stealth coating, and the measured data from the service environment includes: external thermo-coupled loads, temperature gradient distribution, and coating surface cross-sectional morphology data, i.e., scanning data of the infrared stealth coating surface and cross-sectional morphology. The external thermo-coupled loads include time-series loads and material parameters of each material layer, and the material parameters of each material layer include thermal expansion coefficients, elastic modulus, and pressure-temperature correlation characteristics. Furthermore, the constructed coating substrate model is a physical geometric model of the infrared stealth coating and the substrate.

[0035] It should be noted that the non-uniform heat flux load distribution is a non-uniform heat flux load distribution diagram, which quantifies the influence of the infrared stealth coating-substrate physical geometry model, i.e., the heterogeneous body inside the infrared stealth coating and its infrared scattering characteristic structure on the local heat distribution of the coating-substrate module.

[0036] In one embodiment, the non-uniform heat flux load distribution can be directly calculated from the optical heat transfer interface of the multiphysics coupling simulation platform to obtain the temperature gradient change trend of the high-temperature surface.

[0037] In one embodiment, the encryption interface region is the interface region between the adhesive layer and the substrate, and the defect edge region is the heterogeneous body inside the low emissivity layer and the anti-oxidation layer, the adhesive layer and the anti-oxidation layer, as well as the infrared scattering characteristics and defect region of the infrared stealth coating. In this embodiment, the encryption interface region is divided into hexahedral meshes using a hexahedral-dominant encryption network, and the defect edge region is divided into tetrahedral meshes using a tetrahedral transition mesh.

[0038] In one embodiment, curvature features can also be obtained based on the surface cross-sectional topography data of the coating, and the curvature features of the corresponding positions of the corresponding regions of the coating substrate model can be labeled based on the curvature features to generate surface roughness parameters; the mesh independence of the obtained coating substrate mesh model can be verified based on the surface roughness data to control the number of iterations and the residual threshold of the method in the above embodiment to improve efficiency.

[0039] Furthermore, the step of acquiring measured service environment data of the target engine stealth coating component and constructing a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data includes: acquiring measured service environment data of the target engine stealth coating component and constructing a preliminary coating substrate model based on the measured service environment data; generating a thermo-coupling and radiation force control model under preset coating material characteristic data based on the preliminary coating substrate model and the measured service environment data; and obtaining a coating substrate model under preset thermal boundary conditions based on the preliminary coating substrate model and the thermo-coupling and radiation force control model.

[0040] In the above embodiments, firstly, measured service environment data of the target engine stealth coating component is obtained, and a preliminary coating substrate model is constructed based on this data. This ensures that the basic parameters of the obtained model, such as geometric dimensions and coating thickness, match the actual component. Subsequently, based on the preliminary coating substrate model and the measured service environment data, a thermo-mechanical coupling and radiation force control model is generated under preset coating material characteristic data. This control model can describe the dynamic coupling relationship between the temperature field and the stress field. Finally, based on the preliminary coating substrate model and the thermo-mechanical coupling and radiation force control model, the final coating substrate model is obtained under preset thermal boundary conditions. Through the above construction process of the coating substrate model and the thermo-mechanical coupling and radiation force control model, the obtained coating substrate model has a high degree of matching with the actual component, and the obtained thermo-mechanical coupling and radiation force control model can effectively reflect the thermo-mechanical synergistic effect borne by the coating component, thereby improving the reliability of the subsequent stealth coating life degradation trend and improving the reliability of performance optimization of the engine stealth coating component.

[0041] In one embodiment, the non-uniform heat flux density field obtained by an external simulation platform through infrared radiation transmission simulation can be used as the thermal boundary condition.

[0042] Furthermore, before generating the thermal coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment under preset coating material characteristic data, the method further includes: obtaining coating surface cross-sectional morphology data and coating material layer contact type based on the measured data of the service environment; obtaining the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure based on the coating surface cross-sectional morphology data; converting the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure into a topological structure to obtain the coating optical load distribution; and updating the preliminary coating substrate model based on the surface cross-sectional morphology data, the coating optical load distribution, and the coating material layer contact type of the measured data of the service environment.

[0043] The above embodiments acquire coating surface cross-sectional morphology data and coating material layer contact types based on measured data from the service environment. The surface cross-sectional morphology data reflects the true geometric features of the coating surface and the distribution morphology of internal heterostructures. Based on this data, the scattering characteristic aperture, defect shape, and distribution density of the stealth coating heterostructures are obtained and converted into a topological structure to obtain the coating optical load distribution. This optical load distribution can quantify the scattering, reflection, and absorption effects of the heterostructures on infrared radiation, effectively reflecting differences in local thermal distribution. This embodiment updates the preliminary coating substrate model based on the surface cross-sectional morphology data, coating optical load distribution, and coating material layer contact types. The updated model not only covers the contact relationships between coating layers but also the local optical load characteristics induced by heterostructures. This further improves the matching degree between the subsequent coating substrate model obtained from the preliminary model and the actual service environment, thereby improving the accuracy of predicting the life degradation trend of the stealth coating and enhancing the reliability of performance optimization for engine stealth coating service components.

[0044] In one embodiment, the infrared stealth coating's internal heterostructure and its infrared scattering characteristic structure, namely the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure, are transformed into a topological structure from the coating surface cross-sectional morphology data in the service environment measured data of the infrared stealth coating. This process can be achieved using a reverse thinking method. Based on the geometric characteristics of its topological structure, the corresponding optical load distribution is calculated. Then, the surface cross-sectional morphology data and the coating optical load distribution are imported into the preliminary coating substrate model. At the same time, the contact settings of the preliminary coating substrate model are performed according to the coating material layer contact type in the service environment measured data.

[0045] Furthermore, the step of generating a thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment under preset coating material characteristic data includes: obtaining the thermal expansion stress-strain relationship under preset high-temperature cycling conditions based on the measured data of the service environment external thermo-coupling load; obtaining a thermo-coupling model based on the preliminary coating substrate model and the thermal expansion stress-strain relationship under preset coating material characteristic data; obtaining a radiation force control model based on the thermo-coupling model and the coating substrate model, and generating a thermo-coupling and radiation force control model based on the radiation force control model and the thermo-coupling model.

[0046] The above embodiments, based on external thermo-coupled loads from measured data in service environments, obtain the thermal expansion stress-strain relationship under preset high-temperature cycling conditions. This relationship reflects the intrinsic correlation between the thermal expansion characteristics and stress response of the coating material under temperature cycling. Subsequently, based on the preliminary coating substrate model and the thermal expansion stress-strain relationship, a thermo-coupled model is obtained under preset coating material characteristic data. This obtained thermo-coupled model can describe the dynamic process of stress change with temperature under thermal cycling of the stealth coating. Furthermore, this embodiment obtains a radiation force control model based on the thermo-coupled model and the coating substrate model. This radiation force control model is used to describe... The correlation between the infrared radiation characteristics and heat flow distribution of the stealth coating in service environment is integrated with the above-mentioned thermo-mechanical coupling model to form a thermo-mechanical coupling and radiation force control model that can simultaneously characterize the thermo-mechanical synergy and radiation effect. This control model unifies the temperature field, stress field and radiation force in the control model, improves the accuracy of the subsequently generated non-uniform heat flow load distribution and the temperature gradient change trend of high-temperature surface, thereby improving the accuracy of subsequent stress distribution calculation and the reliability of crack initiation path prediction, and thus ensuring the reliability of performance optimization based on life degradation trend, and improving the reliability of performance optimization of engine stealth coating service components.

[0047] In one embodiment, the thermal expansion stress-strain relationship can be obtained by calculating the stress-strain curve caused by the thermal expansion of an external thermo-coupled load under high-temperature cycling conditions through fluid dynamics simulation.

[0048] Further, the process of dividing the coating substrate model into hexahedral meshes based on the encrypted interface region at a preset mesh density to obtain a preliminary coating substrate mesh model, and dividing the preliminary coating substrate mesh model into tetrahedral meshes based on the defect edge region at a preset mesh density to obtain a coating substrate mesh model, includes: obtaining an adaptive step size based on the thermo-coupling and radiation force control model under a preset implicit time integration algorithm; extracting the stress-strain relationship during the heating and cooling stages in the coating substrate model according to the adaptive step size, and obtaining the shear stress and normal stress of the stealth coating interface region based on the stress-strain relationship during the heating and cooling stages; obtaining the critical inflection point of material layer peeling stress based on the shear stress and normal stress of the stealth coating interface region; obtaining a historical coating substrate mesh model, and comparing and analyzing the critical inflection point of material layer peeling stress with the historical coating substrate mesh model to obtain an optimized mesh density, and using the optimized mesh density as the mesh density.

[0049] The above embodiments obtain an adaptive step size based on a thermo-coupling and radiation force control model. This adaptive step size can be shortened to improve accuracy when stress or temperature changes drastically, and extended to improve solution efficiency during periods of gradual change, thereby improving the accuracy of the stress-strain relationship obtained during the subsequent heating and cooling stages. The heating and cooling stages are the stages where the stealth coating experiences the most drastic stress changes under thermal cycling loads. The stress-strain relationship extracted during these stages can accurately reflect the mechanical response characteristics of the interface region. Based on this stress-strain relationship during the heating and cooling stages, the shear stress and normal stress of the stealth coating interface region are obtained to reflect the material properties of the coating interface at the transition point from elastic deformation to damage evolution. By comparing the critical inflection point of material layer peel stress with the historical coating substrate mesh model, it is possible to identify areas where the preset mesh density is insufficient to accurately capture the stress peak and to deduce the optimized mesh density. This allows the mesh generation to be adaptively adjusted based on the aforementioned thermo-coupling and radiation force control model, coating substrate model, and historical coating substrate mesh model, ensuring sufficient mesh resolution in the stress concentration area of ​​the interface. This improves the accuracy of subsequent stress distribution data prediction, thereby improving the accuracy of subsequent crack initiation path prediction. Ultimately, this ensures the accuracy of performance optimization based on life degradation trends and improves the reliability of performance optimization of engine stealth coating components in service.

[0050] Furthermore, the step of obtaining the interface delamination crack initiation path based on the estimated stress distribution data under a preset fracture mechanics analysis algorithm, and predicting the stealth coating life degradation trend based on the interface delamination crack initiation path, includes: obtaining the interlayer interface delamination crack initiation path based on the coating substrate model under a preset finite element method algorithm; deriving the relationship between crack propagation rate and stress distribution based on the estimated stress distribution data and the interlayer interface delamination crack initiation path; and obtaining the stealth coating life degradation trend based on the relationship between crack propagation rate and stress distribution under a preset fatigue life prediction algorithm.

[0051] In the above embodiments, the finite element method algorithm can track the crack initiation and propagation process without re-meshing, identify the region at the interlayer interface that meets the crack initiation conditions, and thus obtain the interlayer interface layered crack initiation path reflecting the path trajectory of the crack from its initial position to its propagation. Based on the estimated stress distribution data and the interlayer interface layered crack initiation path, the relationship between crack propagation rate and stress distribution is deduced. The crack propagation rate determines the time process from crack initiation to final failure of the coating, enabling subsequent lifetime prediction to accurately reflect the effect of stress distribution characteristics on the coating failure process. This avoids the prediction deviation problem caused by ignoring the influence of stress distribution in traditional schemes, thereby improving the accuracy of the obtained stealth coating lifetime degradation trend and improving the reliability of performance optimization of engine stealth coating service components.

[0052] In one embodiment, the preset fatigue life prediction algorithm is the Basquin-Coffin-Manson formula.

[0053] Preferably, the finite element method algorithm is the extended finite element method.

[0054] Further, the step of obtaining the stealth coating life degradation trend based on the crack propagation rate and stress distribution relationship under a preset fatigue life prediction algorithm includes: acquiring measured service environment thermo-mechanical coupling data of the stealth coating, coating service environment measurement results, and composite load failure mode data; performing residual comparison based on the crack propagation rate and stress distribution relationship and the measured service environment thermo-mechanical coupling data of the stealth coating to obtain interlayer interface stress deviation results; performing least squares fitting based on the interlayer interface stress deviation results and the coating service environment measurement results to obtain measured deviation results, and obtaining coating material property parameters based on the measured deviation results; correcting the thermo-mechanical coupling and radiation force control model based on the coating material property parameters and the composite load failure mode data to obtain a corrected thermo-mechanical coupling and radiation force control model; and obtaining the stealth coating life degradation trend based on the corrected thermo-mechanical coupling and radiation force control model.

[0055] In one embodiment, the physical properties of the coating material include the coefficient of thermal expansion and interface strength parameters of the stealth coating.

[0056] Furthermore, the performance optimization of the target engine stealth coating service components based on the stealth coating life degradation trend includes: locating high stress concentration areas in the coating substrate model based on the estimated stress distribution data; performing reverse adjustments based on the high stress concentration areas and the estimated stress distribution data to generate a collaborative performance optimization model corresponding to the stealth coating life degradation trend; generating a stealth coating performance optimization path based on the collaborative performance optimization model; and optimizing the performance of the target engine stealth coating service components based on the stealth coating performance optimization path.

[0057] The above embodiments locate high-stress concentration areas in the coating substrate model based on estimated stress distribution data, reflecting the high-risk locations where the stealth coating is most prone to interface delamination and crack initiation during service. Then, based on the high-stress concentration areas and estimated stress distribution data, a collaborative performance optimization model corresponding to the stealth coating's life degradation trend is generated through reverse adjustment. This collaborative performance optimization model can effectively reduce the peak interface stress and delay the crack initiation and propagation process, thereby exhibiting better service performance in terms of life degradation trend. Based on the generated stealth coating performance optimization path, performance optimization can be performed, which can reduce the risk of optimization failure caused by stress assessment distortion or life prediction deviation, and improve the reliability of performance optimization of engine stealth coating service components.

[0058] Please see Figure 2This embodiment also provides a performance optimization system for engine stealth coating service components, used to implement any of the above-mentioned engine stealth coating service component performance optimization methods, including: a model building module, used to acquire measured service environment data of the target engine stealth coating service component, and construct a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data; a temperature gradient change trend acquisition module, used to generate a non-uniform heat flux load distribution based on the coating substrate model under a preset radiation transfer algorithm, and obtain the high-temperature surface temperature gradient change trend according to the thermo-coupling and radiation force control model and the non-uniform heat flux load distribution; a region division module, used to obtain the stealth coating stress distribution according to the high-temperature surface temperature gradient change trend, and divide the coating substrate model into a densified interface region and a defect edge region under the stealth coating stress distribution; non-uniform The module includes a mesh generation module for performing hexahedral mesh generation on the coating substrate model at a preset mesh density based on the encrypted interface region, obtaining a preliminary coating substrate mesh model, and tetrahedral mesh generation on the preliminary coating substrate mesh model at a preset mesh density based on the defect edge region, obtaining a final coating substrate mesh model. A pre-estimated stress distribution acquisition module applies preset high-temperature cycling and environmental pressure to the coating substrate mesh model to acquire pre-estimated stress distribution data. A coating life degradation trend acquisition module obtains the interface delamination crack initiation path based on the pre-estimated stress distribution data using a preset fracture mechanics analysis algorithm, and predicts the stealth coating life degradation trend based on the interface delamination crack initiation path. A coating service component performance optimization module optimizes the performance of the target engine stealth coating service components based on the stealth coating life degradation trend.

[0059] Furthermore, the model building module is used to acquire measured service environment data of the target engine stealth coating service components, and to build a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data. This includes: acquiring measured service environment data of the target engine stealth coating service components, and building a preliminary coating substrate model based on the measured service environment data; generating a thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured service environment data, under preset coating material characteristic data; and obtaining the coating substrate model under preset thermal boundary conditions based on the preliminary coating substrate model and the thermo-coupling and radiation force control model.

[0060] The above embodiments process the non-uniform heat flux load distribution generated by the coating substrate model based on a preset radiative transfer algorithm. Combined with a thermo-coupling and radiative force control model, a high-temperature surface temperature gradient change trend is obtained that accurately reflects the temperature cycling and pressure fluctuations experienced by the engine stealth coating under real service conditions. Subsequently, based on the stealth coating stress distribution obtained from this high-temperature surface temperature gradient change trend, the dense interface region and defect edge region obtained from the coating substrate model are divided with high accuracy. Furthermore, a coating substrate mesh model is formed by using a hexahedral mesh for the dense interface region and a tetrahedral mesh for the defect edge region. The resulting coating... The layered matrix mesh model can significantly improve the accuracy of the estimated stress distribution data obtained under subsequent high-temperature cycling and environmental pressure, providing reliable support for the accurate prediction of subsequent life degradation trends. In this embodiment, the interface delamination crack initiation path obtained based on the estimated stress distribution data is matched with the actual working conditions of the coated service components. Then, the life degradation trend of the stealth coating is predicted based on the interface delamination crack initiation path, which can improve the accuracy of the obtained stealth coating life degradation trend. This effectively reduces the risk of performance optimization failure caused by stress assessment distortion or life prediction deviation in traditional solutions, and improves the reliability of performance optimization of engine stealth coating service components.

[0061] For ease of understanding, the concepts of each term in the above embodiments are explained as follows: The infrared stealth coating-substrate physical geometry model includes the geometric structure and dimensions of the infrared stealth coating and the substrate. The thickness of each material layer of the infrared stealth coating, the distribution of the infrared stealth coating material layers, and the shape of the substrate are consistent with the actual service components. It also integrates the internal heterogeneous body of the infrared stealth coating and its infrared scattering characteristics and surface roughness topological features. The coating surface cross-sectional morphology data can be converted into a geometric entity through reverse thinking. The model can also be obtained by constructing a digital model using three-dimensional modeling tools.

[0062] The thermo-coupling and radiation force control model is the dynamic thermo-coupling and infrared radiation heat transfer term coupling equation, which describes the mathematical model of the synergistic effect of thermal expansion and thermo-circulation of the infrared stealth coating. It can also be obtained by calculating the curve of the infrared stealth coating stress with temperature through a fluid dynamics simulation platform, and by combining the Poisson's ratio, thermal expansion coefficient, thermal conductivity, elastic modulus and other parameters of the infrared stealth coating and the substrate to establish the transient correlation between the temperature field and the stress field.

[0063] The aforementioned radiation transfer algorithm, also known as the infrared radiation transfer simulation algorithm, is a calculation method based on the principle of geometric optics. It is used to quantify the influence of heterogeneous bodies and their infrared scattering characteristics on the scattering, reflection, and absorption effects of light within the infrared stealth coating, generating a non-uniform heat flux density distribution map. The heat flux density is then input into the boundary conditions of the infrared stealth coating surface to characterize the local heat distribution differences caused by the heterogeneous bodies and their infrared scattering characteristics within the infrared stealth coating.

[0064] The hexahedral mesh and tetrahedral transition unit: For the high stress gradient characteristics of the composite interface region of the infrared stealth coating substrate, a regularly arranged hexahedral mesh is used to improve the calculation accuracy; Due to the high geometric complexity of the heterogeneous body inside the infrared stealth coating and its infrared scattering characteristic edges, a tetrahedral mesh is used to adapt to the curvature change, and the calculation efficiency and convergence are balanced through adaptive mesh division.

[0065] The implicit time integration algorithm is used to solve the thermo-coupling and radiation force control model, i.e., the nonlinear temperature-stress-radiation coupling control equation. It dynamically adjusts the step size through adaptive time step control, shortening the step size to improve accuracy when the temperature or stress changes drastically, and extending the step size to improve the solution efficiency during the smooth phase.

[0066] The extended finite element method is a numerical method for simulating crack propagation. Based on stress distribution data, it tracks the crack initiation path without re-meshing the mesh, and then predicts the life degradation trend of the stealth coating of the service component by calculating the crack propagation rate and combining it with the fatigue cumulative damage model, i.e., the fatigue life prediction algorithm.

[0067] The Basquin-Coffin-Manson formula is a mathematical description of fatigue from low cycle to high cycle. It correlates measured data such as cyclic stress, cyclic strain, and elastic modulus with fatigue life to predict the life of the target object under cyclic loading.

[0068] The aforementioned collaborative performance optimization module is a multi-parameter collaborative multi-objective collaborative optimization model. Based on the distribution data of high stress concentration areas and the service life degradation trend of stealth coatings, i.e., the service life degradation curve, it reversely adjusts the component ratio and interface structure parameters of infrared stealth coatings, verifies the optimization scheme through response surface model, and outputs the compressive performance improvement path of the stealth coating performance optimization path that matches the target service conditions.

[0069] It is understood that the above system embodiments correspond to the method embodiments of the present invention, and can implement the engine stealth coating service component performance optimization method provided by any of the above method embodiments of the present invention.

[0070] It should be noted that the system embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the system embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0071] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for optimizing the performance of engine stealth coating components in service, characterized in that, Includes the following steps: Obtain measured service environment data of the target engine stealth coating components, and construct a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data; Based on the coating substrate model, a non-uniform heat flux load distribution is generated under a preset radiative transfer algorithm, and the temperature gradient change trend of the high-temperature surface is obtained according to the thermo-mechanical coupling and radiative force control model and the non-uniform heat flux load distribution. The stress distribution of the stealth coating is obtained based on the temperature gradient change trend of the high-temperature surface, and the coating substrate model is divided into a densified interface region and a defect edge region under the stress distribution of the stealth coating; Based on the encrypted interface region, the coating substrate model is divided into hexahedral meshes at a preset mesh density to obtain a preliminary coating substrate mesh model. Based on the defect edge region, the preliminary coating substrate mesh model is divided into tetrahedral meshes at a preset mesh density to obtain a coating substrate mesh model. A preset high-temperature cycle and environmental pressure are applied to the coating substrate mesh model to obtain the estimated stress distribution data; Based on the estimated stress distribution data, the initiation path of interfacial delamination cracks is obtained under a preset fracture mechanics analysis algorithm, and the life degradation trend of the stealth coating is predicted based on the initiation path of the interfacial delamination cracks. Based on the life degradation trend of the stealth coating, the performance of the stealth coating components of the target engine in service is optimized.

2. The method for optimizing the performance of engine stealth coating service components as described in claim 1, characterized in that, The process of acquiring measured service environment data of the target engine stealth coating components and constructing a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data includes: Obtain measured service environment data of the target engine stealth coating components, and construct a preliminary coating substrate model based on the measured service environment data; Based on the preliminary coating substrate model and the measured data of the service environment, a thermo-coupling and radiation force control model is generated under the preset coating material property data. Based on the preliminary coating substrate model and the thermo-coupling and radiation force control model, the coating substrate model is obtained under preset thermal boundary conditions.

3. The method for optimizing the performance of engine stealth coating service components as described in claim 2, characterized in that, Before generating the thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment, under the preset coating material characteristic data, the process also includes: Based on the measured data of the service environment, the surface cross-sectional morphology data of the coating and the contact type of the coating material layer are obtained; Based on the surface cross-sectional morphology data of the coating, the scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure are obtained; The scattering characteristic aperture of the stealth coating heterostructure, the defect shape of the stealth coating heterostructure, and the distribution density of the stealth coating heterostructure are transformed into a topological structure to obtain the optical load distribution of the coating. The preliminary coating substrate model is updated based on the surface cross-sectional morphology data, the coating optical load distribution, and the coating material layer contact type based on the measured data of the service environment.

4. The method for optimizing the performance of engine stealth coating service components as described in claim 2, characterized in that, The process of generating a thermo-coupling and radiation force control model based on the preliminary coating substrate model and the measured data of the service environment, under preset coating material characteristic data, includes: The thermal expansion stress-strain relationship was obtained under preset high-temperature cycling conditions based on the measured data of the service environment external thermo-coupled load. Based on the preliminary coating substrate model and the thermal expansion stress-strain relationship, a thermo-mechanical coupling model is obtained under preset coating material property data; A radiation force control model is obtained based on the thermo-coupling model and the coating substrate model, and a thermo-coupling and radiation force control model is generated based on the radiation force control model and the thermo-coupling model.

5. The method for optimizing the performance of engine stealth coating service components as described in claim 1, characterized in that, The process of dividing the coating substrate model into hexahedral meshes at a preset mesh density based on the encrypted interface region to obtain a preliminary coating substrate mesh model, and then dividing the preliminary coating substrate mesh model into tetrahedral meshes at a preset mesh density based on the defect edge region to obtain the coating substrate mesh model, includes obtaining the mesh density by: An adaptive step size is obtained based on the aforementioned thermo-coupling and radiation force control model under a preset implicit time integration algorithm; Based on the adaptive step size, the stress-strain relationship during the heating and cooling stages is extracted under the coating substrate model, and the shear stress and normal stress of the stealth coating interface region are obtained based on the stress-strain relationship during the heating and cooling stages. The critical inflection point of material layer peel stress is obtained based on the shear stress and normal stress of the stealth coating interface region. A historical coating substrate mesh model is obtained, and the critical inflection point of the material layer peel stress is compared and analyzed with the historical coating substrate mesh model to obtain an optimized mesh density, which is then used as the mesh density.

6. The method for optimizing the performance of engine stealth coating service components as described in claim 1, characterized in that, The step of obtaining the interface delamination crack initiation path based on the estimated stress distribution data under a preset fracture mechanics analysis algorithm, and predicting the stealth coating lifetime degradation trend based on the interface delamination crack initiation path, includes: Based on the coating substrate model, the initiation path of interlayer delamination cracks is obtained under the preset finite element method algorithm. The relationship between crack propagation rate and stress distribution is derived by extrapolating the predicted stress distribution data and the initiation path of delamination cracks at the interlayer interface. Based on the relationship between crack propagation rate and stress distribution, the life degradation trend of stealth coating is obtained under a preset fatigue life prediction algorithm.

7. The method for optimizing the performance of engine stealth coating service components as described in claim 6, characterized in that, The process of obtaining the stealth coating life degradation trend based on the relationship between crack propagation rate and stress distribution under a preset fatigue life prediction algorithm includes: Acquire measured thermal coupling data of stealth coatings in service environments, measurement results of coating service environments, and failure mode data under combined loads; Based on the relationship between crack propagation rate and stress distribution and the measured thermal coupling data of stealth coating in service environment, residual comparison is performed to obtain the interlayer interface stress deviation result. The measured deviation results are obtained by least squares fitting based on the interlayer interface stress deviation results and the coating service environment measurement results, and the coating material properties are obtained based on the measured deviation results. The thermo-coupling and radiation force control model is modified based on the physical properties of the coating material and the failure mode data of the composite load, resulting in the modified thermo-coupling and radiation force control model. The degradation trend of stealth coating lifetime is obtained based on the modified thermo-coupling and radiation force control model.

8. The method for optimizing the performance of engine stealth coating service components as described in claim 7, characterized in that, The performance optimization of the target engine stealth coating components based on the stealth coating life degradation trend includes: Based on the estimated stress distribution data, high stress concentration areas are located in the coating substrate model; Based on the high stress concentration area and the estimated stress distribution data, a reverse adjustment is performed to generate a collaborative performance optimization model corresponding to the life degradation trend of the stealth coating; Based on the collaborative performance optimization model, a stealth coating performance optimization path is generated, and the performance of the target engine stealth coating service components is optimized based on the stealth coating performance optimization path.

9. A performance optimization system for engine stealth coating service components, characterized in that, A method for optimizing the performance of engine stealth coating service components as described in any one of claims 1 to 8, comprising: The model building module is used to acquire the service environment measured data of the target engine stealth coating service components, and to build the coating substrate model and the thermo-coupling and radiation force control model based on the service environment measured data; The temperature gradient change trend acquisition module is used to generate a non-uniform heat flux load distribution based on the coating substrate model under a preset radiation transfer algorithm, and obtain the temperature gradient change trend of the high-temperature surface according to the thermo-coupling and radiation force control model and the non-uniform heat flux load distribution. The region division module is used to obtain the stealth coating stress distribution based on the temperature gradient change trend of the high-temperature surface, and to divide the coating substrate model into a densified interface region and a defect edge region under the stealth coating stress distribution. The non-uniform mesh generation module is used to perform hexahedral mesh generation on the coating substrate model based on the encrypted interface region at a preset mesh density to obtain a preliminary coating substrate mesh model, and to perform tetrahedral mesh generation on the preliminary coating substrate mesh model based on the defect edge region at a preset mesh density to obtain a coating substrate mesh model. The estimated stress distribution acquisition module is used to apply a preset high-temperature cycle and environmental pressure to the coating substrate mesh model to acquire estimated stress distribution data. The coating life degradation trend acquisition module is used to obtain the interface delamination crack initiation path based on the estimated stress distribution data under a preset fracture mechanics analysis algorithm, and predict the stealth coating life degradation trend based on the interface delamination crack initiation path. The coating service component performance optimization module is used to optimize the performance of the target engine stealth coating service components based on the life degradation trend of the stealth coating.

10. The engine stealth coating service component performance optimization system as described in claim 9, characterized in that, The model building module is used to acquire measured service environment data of the target engine stealth coating components, and to build a coating substrate model and a thermo-coupling and radiation force control model based on the measured service environment data, including: Obtain measured service environment data of the target engine stealth coating components, and construct a preliminary coating substrate model based on the measured service environment data; Based on the preliminary coating substrate model and the measured data of the service environment, a thermo-coupling and radiation force control model is generated under the preset coating material property data. Based on the preliminary coating substrate model and the thermo-coupling and radiation force control model, the coating substrate model is obtained under preset thermal boundary conditions.

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