Surface treatment method and system for saw chain guide plate

Abstract

The present invention discloses a surface treatment method and system for a saw chain guide, and relates to the technical field related to saw chain guides. The method comprises: determining a multi-layer composite coating of a target saw chain guide; analyzing the probability of peeling from the outer layer to the inner layer under preset impact conditions for the multi-layer composite coating, and generating multiple peeling probabilities; determining a target coating whose peeling probability is greater than a preset probability threshold based on multiple peeling probabilities; performing an interface reaction enhancement processing decision analysis on the target coating, and generating a target interface reaction enhancement decision; when depositing the target coating, performing synchronous processing through the target interface reaction enhancement decision. The method solves the technical problem that the interlayer bonding of the composite coating existing in the prior art causes the coating to peel and delaminate during use, thereby resulting in low working efficiency and insufficient durability of the saw chain guide, and achieves the technical effect of improving the anti-peeling property of the composite coating and the working efficiency and durability of the saw chain guide.

Description

Technical Field

[0001] The present application relates to the technical field related to saw chain guide plates, and in particular to a surface treatment method and system for saw chain guide plates. Background Art

[0002] Saw chain guides are widely used in cutting tools such as chain saws, and the quality of their surface treatment technology directly affects their service life and working performance. During use, saw chain guides are often affected by complex environments such as high temperature, high pressure, friction, and chemical corrosion. Therefore, their surfaces need to have good wear resistance, corrosion resistance, and strength stability. The current surface coating technologies for saw chain guides include metal coatings, ceramic coatings, and composite coatings. Composite coatings are usually composed of multiple layers of different materials, aiming to achieve optimal wear resistance, corrosion resistance, and impact resistance by combining different functional layers. However, in actual applications, problems such as interlayer bonding, durability, and spalling resistance of the coating still exist, which not only affects the long-term use of the coating, but may also cause the coating to peel off or delaminate during use, thereby reducing the working efficiency and life of the saw chain guide.

[0003] Therefore, in the current related technologies, there is a problem that the interlayer bonding of the composite coating causes the coating to peel off and delaminate during use, which in turn leads to the technical problem that the working efficiency and durability of the saw chain guide are low. Therefore, the present application proposes a surface treatment method and system for a saw chain guide. Summary of the invention

[0004] The present application provides a surface treatment method and system for a saw chain guide plate, thereby solving the technical problem in the prior art of interlayer bonding of the composite coating, which causes the coating to peel off and delaminate during use, thereby leading to low working efficiency and insufficient durability of the saw chain guide plate, thereby achieving the technical effect of improving the anti-peeling property of the composite coating and the working efficiency and durability of the saw chain guide plate.

[0005] The present application provides a surface treatment method for a saw chain guide, the method comprising: determining a multi-layer composite coating of a target saw chain guide; performing a peeling probability analysis from an outer layer to an inner layer under preset impact conditions on the multi-layer composite coating to generate multiple peeling probabilities; based on the multiple peeling probabilities, determining a target coating whose peeling probability is greater than a preset probability threshold; performing an interface reaction enhancement processing decision analysis on the target coating to generate a target interface reaction enhancement decision; and when depositing the target coating, performing synchronous processing through the target interface reaction enhancement decision.

[0006] In a possible implementation, a peeling probability analysis from the outer layer to the inner layer under preset impact conditions is performed on the multi-layer composite coating to generate multiple peeling probabilities, and the following processing is also performed: determining application scenario information of the target saw chain guide; configuring the preset impact conditions based on the application scenario information; performing an impact simulation test based on the application scenario information and the multi-layer composite coating, and performing a peeling probability analysis in combination with the preset impact conditions to generate the multiple peeling probabilities.

[0007] In a possible implementation, an impact simulation test is performed based on the application scenario information and the multi-layer composite coating, and a peeling probability analysis is performed in combination with the preset impact conditions to generate the multiple peeling probabilities, and the following processing is also performed: the application chain saw structure corresponding to the target saw chain guide is acquired, and digital simulation modeling is performed in combination with the application scenario information and the multi-layer composite coating to establish an impact test model; based on the impact test model, a peeling test of the multi-layer composite coating is performed within a preset life span to generate a multi-layer peeling impact test sample; the multi-layer peeling impact test sample is compared with the preset impact condition, and the multiple peeling probabilities are generated according to the comparison result.

[0008] In a possible implementation, the preset impact condition is configured based on the application scenario information, and the following processing is also performed: historical impact data is retrieved based on the application scenario information to generate a historical impact data set; outliers are removed from the historical impact data set and then impact gradient division is performed; the preset impact condition is established with the impact data corresponding to the highest gradient in the impact gradient division result.

[0009] In a possible implementation, an interface reaction enhancement processing decision analysis is performed on the target coating to generate a target interface reaction enhancement decision, and the following processing is also performed: obtaining surface information of a previous coating layer of the target coating; analyzing optimal ion-assisted deposition parameters based on the previous coating surface information and coating composition information of the target coating; and generating the target interface reaction enhancement decision using the optimal ion-assisted deposition parameters.

[0010] In a possible implementation, the optimal ion-assisted deposition parameters are analyzed based on the surface information of the previous coating layer and the coating composition information of the target coating, and the following processing is also performed: taking the surface information of the previous coating layer and the coating composition information of the target coating as constraints, collecting a set of historical ion-assisted deposition parameters, wherein any set of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters has a corresponding coating adhesion enhancement index; training an adhesion enhancement predictor with historical ion-assisted deposition parameters and coating adhesion enhancement index; taking multiple sets of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters as centers, respectively, to solve Expand, multiple expanded solution sets, and analyze the expanded solutions through the binding force enhancement predictor to generate multiple expanded binding force enhancement index sets; based on the multiple expanded binding force enhancement index sets, expand the fitness calculation of the multiple groups of historical ion-assisted deposition parameters to establish excitation solutions and taboo solutions; extract the excitation solution and the expanded solution corresponding to the excitation solution, as well as the taboo solution and the expanded solution corresponding to the taboo solution, and the solution whose expanded binding force enhancement index is greater than a preset threshold, to construct an updated solution set; continue to expand based on the updated solution set, and so on, iterate multiple times until the preset number of iterations is met to output the solution with the largest binding force enhancement index as the optimal ion-assisted deposition parameters.

[0011] In a possible implementation, the expanded fitness calculation is performed on the multiple groups of historical ion-assisted deposition parameters based on the multiple expanded bonding strength enhancement indicator sets, and an excitation solution and a taboo solution are established. The following processing is also performed: extracting the first historical ion-assisted deposition parameter and the corresponding first expanded bonding strength enhancement indicator set; taking the coating bonding strength enhancement indicator corresponding to the first historical ion-assisted deposition parameter as a basis, and calculating the ratio of the excitation expansion solution and the taboo expansion solution based on the first expanded bonding strength enhancement indicator set to generate a first expanded fitness; if the first expanded fitness is greater than the preset fitness, adding the first historical ion-assisted deposition parameter to the excitation solution, otherwise adding it to the taboo solution.

[0012] The present application also provides a surface treatment system for a saw chain guide, comprising: a multi-layer composite coating determination module, used to determine the multi-layer composite coating of a target saw chain guide; multiple peeling probability generation modules, used to perform peeling probability analysis from an outer layer to an inner layer of the multi-layer composite coating under preset impact conditions to generate multiple peeling probabilities; a target coating determination module, used to determine a target coating whose peeling probability is greater than a preset probability threshold based on the multiple peeling probabilities; an enhanced processing decision analysis module, used to perform interface reaction enhanced processing decision analysis on the target coating to generate a target interface reaction enhanced decision; and a synchronous processing module, used to perform synchronous processing through a target interface reaction enhanced decision when depositing the target coating.

[0013] Through the surface treatment method and system of a saw chain guide proposed in this application, the multi-layer composite coating of the target saw chain guide is determined; the probability of peeling from the outer layer to the inner layer under preset impact conditions is analyzed for the multi-layer composite coating, and multiple peeling probabilities are generated; based on the multiple peeling probabilities, the target coating whose peeling probability is greater than the preset probability threshold is determined; the target coating is subjected to interface reaction enhancement processing decision analysis to generate a target interface reaction enhancement decision; when the target coating is deposited, the target interface reaction enhancement decision is used for synchronous processing. The technical problem of the interlayer bonding of the composite coating existing in the prior art, which causes the coating to peel and delaminate during use, and thus leads to low working efficiency and insufficient durability of the saw chain guide, is solved, and the technical effect of improving the anti-peeling property of the composite coating and the working efficiency and durability of the saw chain guide is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic flow chart of a surface treatment method for a saw chain guide provided in an embodiment of the present application.

[0016] Figure 2 A schematic structural diagram of a surface treatment system for a saw chain guide provided in an embodiment of the present application.

[0017] Explanation of reference numerals: multi-layer composite coating determination module 10 , multiple peeling probability generation modules 20 , target coating determination module 30 , enhanced processing decision analysis module 40 , synchronous processing module 50 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a surface treatment method for a saw chain guide plate, such as Figure 1 As shown, the method includes:

[0022] Step S100, determining a multi-layer composite coating of a target saw chain guide bar.

[0023] Preferably, determining the multi-layer composite coating of the target saw chain guide refers to determining the coating structure composed of multiple layers of different materials on the surface of the saw chain guide. These coating layers usually have different functions and characteristics, such as wear resistance, corrosion resistance, impact resistance, thermal stability, etc., so as to optimize the comprehensive performance of the saw chain guide by combining the advantages of different materials. Specifically, the multi-layer composite structure of the target coating may include an outer coating, an intermediate layer and an inner coating. The outer coating is usually a wear-resistant or corrosion-resistant material, and its main function is to protect the saw chain guide from wear, chemical corrosion or environmental erosion. The intermediate layer may use some reinforcing coatings, which may have high toughness, strength or spalling resistance, and play a role in improving the interlayer bonding and providing additional mechanical properties. The inner coating may be the coating with the strongest bonding with the substrate, ensuring that the coating is not easy to fall off during use and providing excellent adhesion. By determining the multi-layer composite coating of the target saw chain guide, these coating layers with specific functions and properties are selected and determined to achieve the goal of enhancing its durability and spalling resistance.

[0024] Step S200 , performing a peeling probability analysis from the outer layer to the inner layer under a preset impact condition on the multi-layer composite coating to generate a plurality of peeling probabilities.

[0025] Preferably, under a certain impact force, the peeling risk of each layer (from the outer layer to the inner layer) of the multi-layer composite coating under different conditions is analyzed, and a peeling probability value is generated for each layer to evaluate the stability and peeling resistance of different coating layers, wherein the preset impact condition refers to setting a certain impact condition according to the actual use environment (for example, the impact force and friction force that the saw chain guide may encounter during operation), which may include impact intensity, frequency, temperature change, etc. These factors may cause the coating to peel off, delaminate or be damaged in long-term use. Specifically, the peeling probability analysis refers to analyzing the peeling probability of the multi-layer composite coating under these preset impact conditions through physical modeling, numerical simulation or experimental methods. The probability of peeling of each layer of the composite coating (from the outer layer to the inner layer) may occur. The material properties, thickness, hardness, adhesion, etc. of different coatings will affect their peeling probability under impact. For example, the outer coating may be more easily peeled off due to impact, while the inner coating may be more resistant to peeling due to its close bonding with the substrate. For each layer in the multi-layer coating, a corresponding peeling probability value is generated according to its performance when subjected to impact, which represents the risk of peeling of the coating under specific impact conditions, and then multiple peeling probabilities are generated. Through this probability analysis, a detailed evaluation of each layer of the coating can be obtained, so as to understand which layers are more likely to have problems in actual use.

[0026] Furthermore, step S200 also includes step S210, determining application scenario information of the target saw chain guide; step S220, configuring the preset impact condition based on the application scenario information; step S230, performing an impact simulation test based on the application scenario information and the multi-layer composite coating, and performing a spalling probability analysis in combination with the preset impact condition to generate the multiple spalling probabilities.

[0027] Preferably, by fully understanding the actual working environment and use conditions of the saw chain guide, the impact conditions that may be encountered during the work process are simulated, and then the anti-stripping ability of the coating is evaluated. Specifically, the application scenario information of the target saw chain guide is determined, that is, the information on the environment and working conditions of the saw chain guide in actual use is obtained, which may include different types of working environments and operating methods, such as working media (the saw chain guide may be used for cutting different materials such as wood, metal, concrete, etc., and each material may cause different friction, impact and corrosion to the surface coating of the guide), working conditions (different cutting operations may involve different forces, speeds, temperatures, humidity and other factors. For example, when the saw chain works in a high temperature environment, the coating may be subjected to higher thermal loads and mechanical shocks) and impact types (the saw chain guide may encounter different impact types during use, such as sudden collisions, vibrations or friction, and different impact types may cause different forms of damage to the coating).

[0028] Preferably, specific impact conditions are set according to the determined application scenario information, usually including impact intensity, which simulates the impact force encountered by the saw chain guide during operation, which may be related to factors such as the cutting force of the saw chain and collision with hard objects; impact frequency, which takes into account the impact frequency that the saw chain guide may encounter in long-term operation, such as the number of impacts per minute or the total impact time; temperature change, which takes into account the thermal expansion, thermal shock or thermal fatigue that the coating may experience under high or low temperature conditions; friction conditions, because the friction coefficient of the saw chain guide is directly related to its service life, the effect of friction intensity on the coating must also be considered. When configuring these preset impact conditions, ensure that these conditions match the impact force and environmental conditions that the saw chain guide will encounter in actual applications.

[0029] Preferably, the impact simulation test refers to simulating the performance of the coating under these preset impact conditions by numerical simulation or experimental test, so as to simulate the physical process that the saw chain guide may experience in the application scenario, especially the reaction of the coating when encountering impact. For example, the simulation test is performed using finite element analysis (FEA), that is, using computer simulation technology to establish a mathematical model of the saw chain guide and its coating, and using numerical methods to calculate the stress, deformation, peeling and other responses of the coating under impact. Each layer of the coating may respond to the impact force in a different way, and the simulation results can provide the failure mode and peeling risk of each layer of the coating under impact; finally, according to the simulation results combined with the preset impact conditions, the coating peeling probability is analyzed, including determining the peeling risk of each layer of the coating under specific impact conditions according to the results of the impact simulation test, that is, calculating the peeling probability. For each layer in the multi-layer composite coating, multiple peeling probability values ​​are generated according to different impact conditions and coating material properties. For example, the outer coating, the inner coating and the bonding layer at the interface between the substrate and the coating may have different peeling probabilities, and the stability and peeling resistance of the multi-layer composite coating in the actual use environment are comprehensively evaluated.

[0030] Furthermore, step S220 also includes step S221, retrieving historical impact data based on the application scenario information to generate a historical impact data set; step S222, performing impact gradient division on the historical impact data set after removing outliers; and step S223, establishing the preset impact condition with the impact data corresponding to the highest gradient in the impact gradient division result.

[0031] Preferably, actual impact conditions that affect the performance of the saw chain guide coating are extracted through historical data analysis and processing, and appropriate preset impact conditions are formulated accordingly, wherein historical impact data retrieval refers to obtaining impact conditions in a real environment by retrieving past actual working data, especially impact data involving saw chain guides or similar equipment, and then generating a historical impact data set. Specifically, relevant historical data is retrieved according to the application scenario of the target saw chain guide (such as operating environment, saw chain load, cutting medium, etc.). For example, if the saw chain guide is mainly used for wood cutting, the historical data includes impact data generated during the wood cutting process. The historical impact data can come from actual equipment monitoring records, operation logs, field test data, etc., such as parameters such as impact intensity, frequency, duration, temperature, etc., and are integrated and generated from multiple different sources (such as the operating environment and cutting materials of different saw chain guides), including historical data of multiple impact events.

[0032] Preferably, in the historical impact data set, there may be some extreme abnormal values ​​that do not conform to the actual operating conditions, called outliers, which may be caused by measurement errors, data input errors or extreme working conditions and are not representative. These outliers are removed to ensure the accuracy and reliability of the analysis. For example, statistically based standard deviation analysis, box plot analysis, Z-score detection, etc. are used to detect and remove data points that obviously deviate from the normal data distribution. After removing the outliers, the remaining valid data will be divided into impact gradients, that is, by classifying the intensity of the impact data, the impact intensity is divided into multiple gradients within a certain range. For example, the data can be divided into three gradients according to the impact intensity: low impact (smaller impact force, which will not cause significant damage to the coating), medium impact (medium-intensity impact, which may occur in some abnormal situations, such as when the saw chain encounters a harder material or object) and high impact (high-intensity impact, which usually occurs under extreme working conditions, such as when the saw chain collides with a hard object).

[0033] Preferably, the impact data corresponding to the highest gradient in the impact gradient division result is used to establish the preset impact condition. The impact data with the highest gradient usually represents the strongest impact condition that the coating may experience under extreme working conditions. Based on these highest gradient impact data, the most severe impact conditions that the saw chain guide may encounter in actual applications can be set, which not only includes the intensity of the impact, but also may involve factors such as the frequency, duration, and temperature of the impact. The preset impact conditions are usually used to simulate the use state of the saw chain guide coating under extreme conditions, thereby helping to evaluate the durability, spalling resistance, and stability of the coating. By analyzing historical impact data, the maximum impact conditions that the saw chain guide may encounter in actual applications are determined, and a preset impact condition for the coating is established, which provides a basis for subsequent impact testing, coating optimization, and life prediction.

[0034] Furthermore, step S230 also includes step S231, obtaining the application chain saw structure corresponding to the target saw chain guide, and performing digital simulation modeling in combination with the application scenario information and the multi-layer composite coating to establish an impact test model; step S232, performing a peeling test of the multi-layer composite coating within a preset life based on the impact test model, and generating a multi-layer peeling impact test sample; step S233, comparing the multi-layer peeling impact test sample with the preset impact condition, and generating the multiple peeling probabilities according to the comparison result.

[0035] Preferably, the chain saw structure in which the saw chain guide is located in actual application is obtained and analyzed. The chain saw is the main application equipment of the saw chain guide, and its structure includes engine, chain, guide plate, handle and other parts. Understanding the working mode of the chain saw and the specific application mode of the saw chain guide is used to determine the use conditions of the target coating in the actual environment. For example, how the chain affects the guide plate coating through friction and impact between the chain and the guide plate during high-speed rotation; the workload of the chain saw on different materials (such as wood, concrete or metal), as well as the cutting speed and pressure of the saw chain, etc., will affect the wear and peeling of the coating; The impacts that the saw chain guide may suffer during operation, such as collision between the chain and hard objects, sudden vibrations, etc., directly affect the stability of the coating; based on the application chain saw structure and application scenario information of the target saw chain guide (such as working environment, impact force type, temperature change, etc.), combined with the multi-layer composite structure of the coating (such as wear-resistant outer layer, enhanced adhesion of the inner layer, etc.), a digital simulation model is established to simulate the various impacts and stresses that the saw chain guide is subjected to during operation, including the stress state, deformation and possibility of peeling of the coating under the simulated impact force, and then analyze the peeling behavior of the coating.

[0036] Preferably, a digital simulation test model is used to simulate the peeling of the coating within a preset service life cycle (for example, the length of time the coating is simulated during use of the saw chain guide). The life cycle simulation refers to simulating the gradual degradation of the coating under multiple impacts, friction and temperature changes according to the expected working time of the saw chain guide. According to the impact test model established in the early stage, the peeling of the coating under different conditions is tested by simulating different impact conditions. The test results generated by each simulation form a peeling impact test sample, which records the impact conditions under which the coating peels off. Then, the multiple simulation test samples are compared and analyzed with the preset impact conditions, that is, by comparing the simulation results with the impact conditions in actual applications, the peeling probability of different coatings under specific impact conditions is determined. Specifically, the test results generated during the simulation process (such as the cracking, peeling or wear of the coating under simulated impact) are compared and analyzed with the actual preset impact conditions, and the peeling probability of each layer of coating under different impact conditions is calculated, and the anti-peeling performance of different coatings is obtained, so as to determine which coatings are more likely to peel off during use.

[0037] Step S300: Based on the multiple spalling probabilities, determine a target coating whose spalling probability is greater than a preset probability threshold.

[0038] Preferably, among the multiple peeling probability data obtained by simulation, testing and other methods, coatings with peeling probabilities higher than a preset threshold are screened out, and these coatings are determined as target coatings, that is, coatings that need to be optimized in actual applications. Specifically, the preset probability threshold is a standard value preset according to actual needs and performance requirements, and is usually determined according to the application environment of the coating, the expected service life, the performance requirements of the coating and relevant standards. The peeling probability of each layer of coating is then compared with the preset probability threshold. Assuming that the preset threshold is 20%, if the peeling probability of a certain layer is greater than 20%, it indicates that the coating has a high risk of peeling under impact, friction and other environments. Finally, the coating with a peeling probability greater than the preset threshold is marked as a target coating. The target coating has a high risk of peeling, which may affect the performance and service life of the saw chain guide, and measures are taken to improve its anti-peeling, wear resistance or durability to extend the service life of the saw chain guide and improve its working performance.

[0039] Step S400, performing an interface reaction enhancement processing decision analysis on the target coating to generate a target interface reaction enhancement decision.

[0040] Preferably, the target coating is subjected to an interface reaction enhancement treatment decision analysis, i.e., the coating interface reaction enhancement is evaluated, and corresponding treatment decisions are made according to the analysis results to improve the bonding strength and durability between the coating and the substrate, thereby reducing the risk of coating peeling. Specifically, the interface between the coating and the substrate (i.e., the saw chain guide) is the key to the coating performance, and the interface bonding strength directly affects the wear resistance, peeling resistance and corrosion resistance of the coating. The interface reaction enhancement treatment is to strengthen the bonding between the coating and the substrate by certain technical means, for example, by adding or changing the interface layer between the coating and the substrate to make it have a stronger bonding strength; during the coating deposition process, the interface bonding strength is improved by processes such as heating and annealing, so that the coating is more firmly attached to the surface of the substrate; certain chemical reactions (such as laser treatment, plasma treatment) are used to Improve the affinity between the coating and the substrate surface and enhance its interface stability; the purpose of the interface reaction enhancement treatment decision analysis is to evaluate the impact of different enhancement treatment technologies on the target coating. The main factors considered in the decision analysis include the compatibility of the coating and the substrate (the chemical and physical compatibility between different coatings and substrate materials will affect the final interface bonding effect), the feasibility and cost of the enhancement treatment (evaluate different interface enhancement methods to determine which method is technically feasible and the most cost-effective) and the durability of the enhancement effect (evaluate the stability and durability of the coating interface bonding force after the enhancement treatment to ensure that the coating will not peel off under long-term working conditions). Finally, a target interface reaction enhancement decision is generated, which clearly proposes which interface enhancement treatment to perform on the target coating, thereby improving the durability and anti-peeling properties of the coating.

[0041] Furthermore, step S400 also includes step S410, obtaining surface information of a previous coating layer of the target coating; step S420, analyzing optimal ion-assisted deposition parameters based on the surface information of the previous coating layer and coating composition information of the target coating; and step S430, generating the target interface reaction enhancement decision using the optimal ion-assisted deposition parameters.

[0042] Preferably, in the coating process, especially in the ion-assisted deposition technology (IAD), the most suitable deposition parameters are determined by analyzing the surface information of the target coating and the previous coating, so as to enhance the bonding force between the coating and the substrate and improve the performance of the coating, especially the anti-stripping and durability. Specifically, the interface characteristics of the target coating (usually the outermost layer or the target optimized coating) and its previous coating are obtained, including obtaining the surface roughness, porosity, morphology and other information of the previous coating by surface morphology analysis technology (such as scanning electron microscope SEM, atomic force microscope AFM, etc.), using X-ray photoelectron spectroscopy (XPS) and other analysis methods to understand the chemical composition, surface chemical state and possible oxidation or contamination state of the target coating, and then analyzing the optimal ion-assisted deposition parameters based on the surface information of the previous coating and the coating composition information of the target coating, and improving the coating quality and adhesion by introducing an ion beam during the deposition process, that is, improving the interface bonding by controlling the parameters of the ion beam. Specifically, if there are too many rough areas or pores on the surface of the previous coating, it may be necessary Increase the energy of the ion beam or adjust the deposition angle to improve the adhesion of the coating. Different coating materials have different physical and chemical properties. For example, the ion beam deposition parameters of metal coatings and ceramic coatings may be different. By analyzing the chemical composition of the target coating (such as metal, ceramic, polymer, etc.), the most suitable deposition parameters such as ion beam energy, ion source type, deposition atmosphere, etc. can be determined to improve the interface bonding and the overall performance of the coating; then determine the optimal ion-assisted deposition parameters, such as the energy and intensity of the ion beam, the incident angle of the ion beam, the ratio of ion to atomic deposition, and the deposition rate and temperature, etc., to help optimize the deposition process of the target coating, maximize the bonding strength of the coating, and reduce the risk of peeling; finally, generate the target interface reaction enhancement decision based on the optimal ion-assisted deposition parameters, that is, decide how to use these optimized deposition conditions to enhance the interface bonding between the target coating and the previous coating, such as selecting appropriate ion beam intensity, deposition time, deposition atmosphere and other process conditions, and adjust these parameters according to actual application requirements to ensure the reliability and stability of the target coating in the application.

[0043] Further, step S420 also includes step S421, collecting a set of historical ion-assisted deposition parameters with the surface information of the previous coating layer and the coating composition information of the target coating as constraints, wherein any set of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters has a corresponding coating adhesion enhancement index; step S422, training an adhesion enhancement predictor with the historical ion-assisted deposition parameters and the coating adhesion enhancement index; step S423, using multiple sets of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters as centers, respectively, to expand the solution, multiple expanded solution sets, and use the adhesion enhancement predictor to train the adhesion enhancement predictor. The expanded solution is analyzed to generate multiple sets of expanded binding force enhancement indicators; step S424, based on the multiple sets of expanded binding force enhancement indicators, the multiple groups of historical ion-assisted deposition parameters are expanded and calculated for fitness, and an excitation solution and a taboo solution are established; step S425, the excitation solution and the expanded solution corresponding to the excitation solution, as well as the taboo solution and the expanded solution corresponding to the taboo solution whose expanded binding force enhancement indicators are greater than a preset threshold are extracted to construct an updated solution set; step S426, based on the updated solution set, the expansion is continued, and so on, iterated multiple times until the preset number of iterations is met and the solution with the largest binding force enhancement indicator is output as the optimal ion-assisted deposition parameters.

[0044] Preferably, the surface information of the previous coating layer and the coating composition information of the target coating are constrained, which means that the surface information of the previous coating layer is combined with the composition information of the target coating to limit the selection range of the deposition parameters, so as to collect a set of historical ion-assisted deposition parameters, including ion-assisted deposition parameters used in historical experiments, such as ion beam energy, deposition angle, deposition rate, etc., and each set of parameters corresponds to a coating adhesion enhancement index, which is used to measure the adhesion, wear resistance or spalling resistance of the coating. A prediction model is constructed based on a machine learning model (such as a regression model or a neural network), by associating the ion-assisted deposition parameters in the historical data with the coating adhesion enhancement index. , used as training data to train the prediction model, learn the relationship between historical ion-assisted deposition parameters and the coating's bonding enhancement effect, and obtain a bonding enhancement predictor, which can infer the influence of different deposition parameters on the coating's bonding enhancement effect; in the optimization process, based on each set of historical ion-assisted deposition parameters, take it as the center to expand the solution, that is, by making slight adjustments to the existing parameters (such as adjusting the ion beam energy, incident angle, etc.), generate a new set of parameters (expanded solution), and then obtain multiple expanded solution sets, representing new candidate solutions in the ion-assisted deposition parameter space, and then use the bonding enhancement predictor to analyze these expanded solutions and predict the bonding enhancement index under each new parameter combination.

[0045] Preferably, for each set of expanded solutions, the corresponding bonding enhancement index is obtained through the bonding enhancement predictor, and then the fitness of these expanded solutions is calculated. The fitness usually indicates the performance or quality under the current conditions. For the objective function of maximizing the bonding strength of the coating, the higher the fitness, the better the quality of the solution, and then the incentive solution and the taboo solution are determined, among which the incentive solution is those with high fitness, indicating that this set of expanded parameters can significantly improve the bonding strength of the coating. Usually, these solutions will be retained first and continue to be improved in the next round of optimization; the taboo solution is those with low fitness that cannot meet the optimization goal, which may be excluded or restricted in the next iteration; then, by screening out high-quality solution sets (incentive solutions and qualified taboo solutions to expand solutions), including selecting incentive solutions with higher fitness The solution and the corresponding expanded solution are extracted, and the parameter solution set around it is expanded. At the same time, the solution with the expanded bonding strength enhancement index greater than the preset threshold in the taboo solution and its expanded solution is extracted as the updated solution set and enters the next round of optimization iteration. By continuously expanding and optimizing the solution set, the fitness of each group of parameters is repeatedly evaluated, and the solution set is updated through the principles of evolutionary algorithms (such as selection, crossover, mutation and other operations). Each round of iteration will generate new candidate solutions and evaluate them through the bonding strength enhancement predictor. After many iterations, the final optimal solution is output, that is, the ion-assisted deposition parameters with the highest bonding strength enhancement index. This set of parameters is the most suitable ion-assisted deposition parameters for the current coating and application conditions, which can significantly improve the bonding between the coating and the substrate, thereby ensuring the stability, durability and anti-peeling properties of the coating.

[0046] Furthermore, step S424 also includes step S424a, extracting the first historical ion-assisted deposition parameters and the corresponding first expanded bonding strength enhancement index set; step S424b, based on the coating bonding strength enhancement index corresponding to the first historical ion-assisted deposition parameters, performing ratio calculation of the excitation expansion solution and the taboo expansion solution based on the first expanded bonding strength enhancement index set to generate a first expanded fitness; step S424c, if the first expanded fitness is greater than the preset fitness, adding the first historical ion-assisted deposition parameters to the excitation solution, otherwise adding them to the taboo solution.

[0047] Preferably, in the process of optimizing ion-assisted deposition parameters, appropriate deposition parameters are selected by calculating the fitness of the expanded solution and determining whether to add it to the excitation solution or the taboo solution. Specifically, the first historical ion-assisted deposition parameters (such as ion beam energy, deposition angle, deposition atmosphere, etc.) and the corresponding first expanded bonding strength enhancement index set are extracted from the historical data. The first expanded bonding strength enhancement index set is an expanded solution set generated based on the first historical ion-assisted deposition parameters, and the expanded bonding strength enhancement index obtained by the prediction model (such as the bonding strength enhancement predictor) quantifies the degree of enhancement of the adhesion or bonding strength of the coating under these new parameters; based on the coating bonding strength enhancement index corresponding to the first historical ion-assisted deposition parameters, the performance of the expanded solution is evaluated to calculate the ratio between the excitation solution and the taboo solution. Specifically, by comparing the bonding strength enhancement index of each expanded solution in the first expanded bonding strength enhancement index set with a preset threshold (for example, the threshold is a certain expected bonding strength enhancement index), the excitation solution and the taboo solution can be calculated. The proportion of solutions represents the effectiveness and quality of the expanded solution set, that is, in a set of expanded solutions, what proportion of solutions are worthy of adoption (exciting solutions) and what proportion need to be excluded (taboo solutions), and then the expanded fitness corresponding to each historical ion-assisted deposition parameter is obtained, that is, the first expanded fitness. If the proportion of exciting solutions is high, it means that the parameter combination performs well in improving the adhesion of the coating and has a high fitness; if the proportion of taboo solutions is high, it means that the parameter combination is inappropriate and has a low fitness; if the first expanded fitness is greater than the preset fitness, it means that the historical ion-assisted deposition parameters perform well in the generated expanded solutions (that is, most of the expanded solutions can effectively improve the adhesion of the coating), and the first historical ion-assisted deposition parameters are added to the exciting solutions. Conversely, if the first expanded fitness is less than the preset fitness, it means that the historical ion-assisted deposition parameters perform poorly in the generated expanded solutions (that is, most of the expanded solutions fail to effectively improve the adhesion), and they are added to the taboo solutions, indicating that the parameter combination is not suitable for continued use and may be excluded during the optimization process. In this way, the optimization process can gradually eliminate unsuitable parameters and finally find the optimal ion-assisted deposition parameters to maximize the adhesion of the coating.

[0048] Step S500, when the target coating is deposited, synchronous processing is performed through target interface reaction enhancement decision.

[0049] Preferably, during the coating deposition process, real-time adjustment and optimization are performed based on the previous analysis results (especially the enhanced processing decision for the interface between the coating and the substrate), that is, through synchronous processing, the decision of interface reaction enhancement is implemented in each link of the deposition process to ensure that the bonding force between the coating and the substrate is maximized during the actual deposition process. The deposition of the target coating is a key process step in the coating manufacturing process, which usually includes physical vapor deposition (PVD), chemical vapor deposition (CVD) or ion assisted deposition (IAD) and other technologies. In these deposition processes, the coating material is deposited on the surface of the substrate (such as a saw chain guide) in the form of atoms or molecules to form the desired functional coating (such as wear resistance, corrosion resistance, etc.). Specifically, Combine the previous decision results (target interface reaction enhancement decision) with the actual deposition process to ensure that the optimized interface enhancement strategy is implemented at each stage of coating deposition. That is, during the deposition process, the deposition process parameters are monitored and adjusted in real time so as to be dynamically optimized according to the target interface reaction enhancement decision. For example, during the deposition process, the energy and deposition angle of the ion beam are adjusted according to the real-time monitored coating surface state or deposition rate to ensure the best coating adhesion; according to the interface enhancement decision, the composition of the atmosphere during the deposition process (such as gas flow, pressure, etc.) is adjusted to enhance the interface bonding between the coating and the substrate; the process parameters are adjusted in real time through the feedback mechanism to ensure the maximization of the interface enhancement effect and improve the performance and durability of the coating.

[0050] In the above, refer to Figure 1 A surface treatment method for a saw chain guide plate according to an embodiment of the present invention is described in detail. Figure 2 A surface treatment system for a saw chain guide bar according to an embodiment of the present invention is described.

[0051] A surface treatment system for a saw chain guide according to an embodiment of the present invention is used to solve the technical problem that the interlayer bonding of the composite coating in the prior art causes the coating to peel off and delaminate during use, thereby resulting in low working efficiency and insufficient durability of the saw chain guide, thereby achieving the technical effect of improving the anti-peeling property of the composite coating and the working efficiency and durability of the saw chain guide. A surface treatment system for a saw chain guide includes: a multi-layer composite coating determination module 10, multiple peeling probability generation modules 20, a target coating determination module 30, an enhanced processing decision analysis module 40, and a synchronous processing module 50.

[0052] A multi-layer composite coating determination module 10 is used to determine the multi-layer composite coating of the target saw chain guide; multiple peeling probability generation modules 20 are used to perform peeling probability analysis from the outer layer to the inner layer under preset impact conditions for the multi-layer composite coating to generate multiple peeling probabilities; a target coating determination module 30 is used to determine a target coating whose peeling probability is greater than a preset probability threshold based on the multiple peeling probabilities; an enhanced processing decision analysis module 40 is used to perform interface reaction enhanced processing decision analysis on the target coating to generate a target interface reaction enhanced decision; a synchronous processing module 50 is used to perform synchronous processing through the target interface reaction enhanced decision when depositing the target coating.

[0053] The specific configuration of the multiple spalling probability generation modules 20 will be described in detail below. The multiple spalling probability generation modules 20 further include: determining the application scenario information of the target saw chain guide; configuring the preset impact condition based on the application scenario information; performing an impact simulation test based on the application scenario information and the multi-layer composite coating, and performing spalling probability analysis in combination with the preset impact condition to generate the multiple spalling probabilities.

[0054] The specific configuration of the multiple spalling probability generation modules 20 will be described in detail below. The multiple spalling probability generation modules 20 further include: obtaining the application chain saw structure corresponding to the target saw chain guide, and performing digital simulation modeling in combination with the application scenario information and the multi-layer composite coating to establish an impact test model; performing a spalling test of the multi-layer composite coating within a preset life based on the impact test model to generate a multi-layer spalling impact test sample; comparing the multi-layer spalling impact test sample with the preset impact condition, and generating the multiple spalling probabilities according to the comparison result.

[0055] The specific configuration of the multiple spalling probability generation modules 20 will be described in detail below. The multiple spalling probability generation modules 20 further include: retrieving historical impact data based on the application scenario information to generate a historical impact data set; performing impact gradient division after removing outliers on the historical impact data set; and establishing the preset impact condition with the impact data corresponding to the highest gradient in the impact gradient division result.

[0056] The specific configuration of the enhanced processing decision analysis module 40 will be described in detail below. The enhanced processing decision analysis module 40 further includes: obtaining the surface information of the previous coating layer of the target coating; analyzing the optimal ion-assisted deposition parameters based on the surface information of the previous coating layer and the coating composition information of the target coating; and generating the target interface reaction enhancement decision with the optimal ion-assisted deposition parameters.

[0057] The specific configuration of the enhanced processing decision analysis module 40 will be described in detail below. The enhanced processing decision analysis module 40 further includes: taking the surface information of the previous coating layer and the coating composition information of the target coating layer as constraints, collecting a set of historical ion-assisted deposition parameters, wherein any set of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters has a corresponding coating adhesion enhancement index; training an adhesion enhancement predictor with historical ion-assisted deposition parameters and coating adhesion enhancement index; taking multiple sets of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters as centers, respectively, expanding solutions, multiple expanded solution sets, and using the adhesion enhancement predictor The detector analyzes the expanded solution to generate multiple sets of expanded binding force enhancement indicators; based on the multiple sets of expanded binding force enhancement indicators, the expanded fitness of the multiple groups of historical ion-assisted deposition parameters is calculated to establish an excitation solution and a taboo solution; the excitation solution and the expanded solution corresponding to the excitation solution, as well as the taboo solution and the expanded solution corresponding to the taboo solution whose expanded binding force enhancement indicators are greater than a preset threshold are extracted to construct an updated solution set; based on the updated solution set, the expansion is continued, and so on, iterated multiple times until the preset number of iterations is met to output the solution with the largest binding force enhancement indicator as the optimal ion-assisted deposition parameters.

[0058] The specific configuration of the enhancement processing decision analysis module 40 will be described in detail below. The enhancement processing decision analysis module 40 further includes: extracting the first historical ion-assisted deposition parameter and the corresponding first expanded bonding strength enhancement index set; based on the coating bonding strength enhancement index corresponding to the first historical ion-assisted deposition parameter, performing a ratio calculation of the excitation expansion solution and the taboo expansion solution based on the first expanded bonding strength enhancement index set to generate a first expansion fitness; if the first expansion fitness is greater than the preset fitness, adding the first historical ion-assisted deposition parameter to the excitation solution, otherwise adding it to the taboo solution.

[0059] A surface treatment system for a saw chain guide provided by an embodiment of the present invention can execute a surface treatment method for a saw chain guide provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0060] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0061] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A surface treatment method for a saw chain guide, characterized in that: include: Determine the multi-layer composite coating of the target saw chain guide; Performing a peeling probability analysis from an outer layer to an inner layer under a preset impact condition on the multi-layer composite coating to generate a plurality of peeling probabilities; Based on the multiple spalling probabilities, determining a target coating having a spalling probability greater than a preset probability threshold; Performing an interface reaction enhancement processing decision analysis on the target coating to generate a target interface reaction enhancement decision; When the target coating is deposited, simultaneous processing is performed through target interface reaction enhancement decisions.

2. A surface treatment method for a saw chain guide plate according to claim 1, characterized in that: The multi-layer composite coating is subjected to a peeling probability analysis from the outer layer to the inner layer under a preset impact condition to generate multiple peeling probabilities, including: Determining application scenario information of the target saw chain guide bar; Configuring the preset impact condition based on the application scenario information; An impact simulation test is performed based on the application scenario information and the multi-layer composite coating, and a spalling probability analysis is performed in combination with the preset impact conditions to generate the multiple spalling probabilities.

3. A surface treatment method for a saw chain guide plate according to claim 2, characterized in that: An impact simulation test is performed based on the application scenario information and the multi-layer composite coating, and a spalling probability analysis is performed in combination with the preset impact condition to generate the multiple spalling probabilities, including: Acquire an applied chain saw structure corresponding to a target saw chain guide, and perform digital simulation modeling in combination with the application scenario information and the multi-layer composite coating to establish an impact test model; Based on the impact test model, a peeling test of the multi-layer composite coating is performed within a preset lifespan to generate a multi-layer peeling impact test sample; The multi-layer peeling impact test sample is compared with the preset impact condition, and the plurality of peeling probabilities are generated according to the comparison result.

4. A surface treatment method for a saw chain guide plate according to claim 3, characterized in that: Configuring the preset impact condition based on the application scenario information includes: Perform historical impact data retrieval based on the application scenario information to generate a historical impact data set; After removing outliers from the historical impact data set, impact gradient division is performed; The preset impact condition is established based on the impact data corresponding to the highest gradient in the impact gradient division result.

5. The surface treatment method of a saw chain guide plate according to claim 1, characterized in that: Performing an interface reaction enhancement processing decision analysis on the target coating to generate a target interface reaction enhancement decision, including: Acquire surface information of a previous coating layer of the target coating; Analyzing optimal ion-assisted deposition parameters based on the surface information of the previous coating layer and the coating composition information of the target coating layer; The target interface reaction enhancement decision is generated using the optimal ion-assisted deposition parameters.

6. A surface treatment method for a saw chain guide plate according to claim 5, characterized in that: Analyzing the optimal ion-assisted deposition parameters based on the surface information of the previous coating layer and the coating composition information of the target coating layer includes: Taking the surface information of the previous coating layer and the coating composition information of the target coating layer as constraints, collecting a set of historical ion-assisted deposition parameters, wherein any set of historical ion-assisted deposition parameters in the set of historical ion-assisted deposition parameters has a corresponding coating adhesion enhancement index; Training the adhesion enhancement predictor with historical ion-assisted deposition parameters and coating adhesion enhancement indicators; Taking multiple groups of historical ion-assisted deposition parameters in the historical ion-assisted deposition parameter set as the center, respectively, expanding the solution to generate multiple expanded solution sets, and analyzing the expanded solutions through the binding force enhancement predictor to generate multiple expanded binding force enhancement index sets; Based on the multiple expanded binding force enhancement index sets, the multiple sets of historical ion-assisted deposition parameters are expanded and fitness calculations are performed to establish incentive solutions and taboo solutions; Extracting the excitation solution and the expansion solution corresponding to the excitation solution, and the taboo solution and the expansion solution corresponding to the taboo solution whose expansion combination strength enhancement index is greater than a preset threshold, and constructing an updated solution set; The update solution set is expanded continuously based on the update solution set, and so on, iterated multiple times until the preset number of iterations is met to output the solution with the largest binding force enhancement index as the optimal ion-assisted deposition parameters.

7. A surface treatment method for a saw chain guide plate according to claim 6, characterized in that: Based on the multiple expanded binding force enhancement index sets, the multiple sets of historical ion-assisted deposition parameters are expanded and fitness calculations are performed to establish incentive solutions and taboo solutions, including: extracting a first historical ion-assisted deposition parameter and a corresponding first expanded bonding strength enhancement index set; Based on the coating bonding strength enhancement index corresponding to the first historical ion-assisted deposition parameter, a ratio calculation of an excitation expansion solution and a taboo expansion solution is performed based on the first expanded bonding strength enhancement index set to generate a first expansion fitness; If the first expanded fitness is greater than a preset fitness, the first historical ion-assisted deposition parameter is added to an excitation solution, otherwise it is added to a taboo solution.

8. A surface treatment system for a saw chain guide, characterized in that: The system is used to implement a surface treatment method for a saw chain guide plate according to any one of claims 1 to 7, and the system comprises: A multi-layer composite coating determination module, used to determine the multi-layer composite coating of a target saw chain guide bar; Multiple spalling probability generation modules, used for performing spalling probability analysis from the outer layer to the inner layer under preset impact conditions on the multi-layer composite coating, and generating multiple spalling probabilities; A target coating determination module, configured to determine a target coating having a spalling probability greater than a preset probability threshold based on the multiple spalling probabilities; An enhanced processing decision analysis module is used to perform an interface reaction enhanced processing decision analysis on the target coating to generate a target interface reaction enhanced decision; The synchronous processing module is used to perform synchronous processing through target interface reaction enhancement decision when depositing the target coating.

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