Cutter surface treatment and quality evaluation method and system

Abstract

The invention provides a tool surface treatment and quality evaluation method and system, and relates to the technical field of tool surface treatment.The tool surface treatment and quality evaluation method comprises the steps that initial surface parameter extraction is conducted on the surface of a target tool, and the initial surface parameters are tool surface parameters before the target tool starts cutting; performing cutting process simulation according to the cutting record, and establishing an interaction model; in combination with the initial surface parameters, the tool wear performance is analyzed through the interactive model, and a tool surface treatment optimization strategy is constructed; and performing surface treatment quality evaluation according to the tool surface treatment optimization strategy, and feeding back a quality evaluation result to the tool surface treatment optimization strategy. By means of the method and device, the technical problem that in the prior art, due to the fact that only the macroform of the tool surface is emphasized in the traditional surface treatment process, the relevance between the evaluation index and the actual cutting performance is weak can be solved, and the technical effect of improving scientificity and pertinence of tool surface treatment is achieved.

Description

Technical Field

[0001] This application relates to the technical field of tool surface treatment, and particularly to a method and system for tool surface treatment and quality assessment. Background Art

[0002] To solve the problems of wear and failure faced by tools during long-term cutting, tool surface treatment technologies have emerged. Common surface treatment methods include coating technology, heat treatment, laser cladding, etc. These technologies can effectively improve the hardness and wear resistance of the tool surface and extend its service life. However, there are still some defects in the existing tool surface treatment technologies in practical applications.

[0003] Currently, in the traditional surface treatment process, it usually focuses on evaluating the smoothness or roughness of the tool surface, and judges the machining performance of the tool through this index. Although these methods can provide certain surface state data, they often only focus on the macroscopic morphology of the tool surface and fail to fully consider the complex physical effects during the cutting process, such as cutting force, temperature distribution and their deep relationship with the tool surface state. This makes the correlation between the traditional evaluation method and the actual cutting performance relatively weak, and it is difficult to comprehensively and accurately reflect the performance of the tool during use. Especially under extreme working conditions such as high load and high temperature, the performance of the tool may be very different. For example, even if the tool surface is very smooth, if its high-temperature resistance is poor, it may still wear quickly or even fail, and vice versa. This disconnection between surface finish and cutting effect leads to the traditional evaluation method being unable to provide comprehensive and scientific optimization guidance for tool surface treatment, and the traditional roughness measurement can no longer meet the needs of optimizing tool performance under cutting conditions.

[0004] In summary, there is a technical problem in the prior art that due to only focusing on the macroscopic morphology of the tool surface in the traditional surface treatment process and failing to fully consider the complex physical effects during the cutting process, the correlation between the evaluation index and the actual cutting performance is relatively weak. Summary of the Invention

[0005] The purpose of this application is to provide a method and system for tool surface treatment and quality assessment to solve the technical problem in the prior art that due to only focusing on the macroscopic morphology of the tool surface in the traditional surface treatment process and failing to fully consider the complex physical effects during the cutting process, the correlation between the evaluation index and the actual cutting performance is relatively weak.

[0006] In view of the above problems, this application provides a method and system for tool surface treatment and quality assessment.

[0007] In a first aspect, the present application provides a tool surface treatment and quality evaluation method, which is implemented through a tool surface treatment and quality evaluation system, including: extracting initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting; simulating the cutting process based on the cutting records to establish an interaction model; combining the initial surface parameters, analyzing the tool wear performance through the interaction model, and constructing an optimization strategy for tool surface treatment; evaluating the quality of the surface treatment according to the tool surface treatment optimization strategy, and feeding back the quality evaluation result to the tool surface treatment optimization strategy.

[0008] In a second aspect, the present application further provides a tool surface treatment and quality evaluation system for executing the tool surface treatment and quality evaluation method as described in the first aspect, including: a parameter extraction module for extracting initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting; a model establishment module for simulating the cutting process based on the cutting records to establish an interaction model; a strategy construction module for combining the initial surface parameters, analyzing the tool wear performance through the interaction model, and constructing an optimization strategy for tool surface treatment; a quality evaluation module for evaluating the quality of the surface treatment according to the tool surface treatment optimization strategy and feeding back the quality evaluation result to the tool surface treatment optimization strategy.

[0009] The technical solutions provided in the present application have at least the following technical effects or advantages: by extracting the initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting; simulating the cutting process based on the cutting records to establish an interaction model; combining the initial surface parameters, analyzing the tool wear performance through the interaction model, and constructing an optimization strategy for tool surface treatment; evaluating the quality of the surface treatment according to the tool surface treatment optimization strategy and feeding back the quality evaluation result to the tool surface treatment optimization strategy. That is to say, by achieving the technical goal of more comprehensively and accurately evaluating the tool surface quality and cutting performance, the scientificity and pertinence of tool surface treatment are improved, thereby achieving the technical effect of improving the wear resistance, cutting efficiency and machining accuracy of the tool.

[0010] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically illustrates the embodiments of the present application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. Brief Description of the Drawings

[0011] To more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are merely exemplary. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0012] Figure 1 It is a schematic flow diagram of the method for tool surface treatment and quality evaluation of the present application; Figure 2 It is a schematic structural diagram of the tool surface treatment and quality evaluation system of the present application.

[0013] Description of the reference numerals: Parameter extraction module 11, Model establishment module 12, Strategy construction module 13, Quality evaluation module 14. Detailed Embodiments

[0014] By providing a method and system for tool surface treatment and quality evaluation, the present application solves the technical problem in the prior art that due to only focusing on the macroscopic morphology of the tool surface in the traditional surface treatment process and failing to fully consider the complex physical effects during the cutting process, the correlation between the evaluation index and the actual cutting performance is weak. It realizes the technical goal of more comprehensively and accurately evaluating the tool surface quality and cutting performance, achieves the technical effect of improving the scientificity and pertinence of tool surface treatment, thereby improving the wear resistance, cutting efficiency and machining accuracy of the tool.

[0015] Next, the technical solutions in the present application will be clearly and completely described with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. Additionally, it should be noted that for the convenience of description, only the parts related to the present application are shown in the drawings rather than all of them.

[0016] Embodiment 1. Please refer to the attached Figure 1 , the present application provides a method for tool surface treatment and quality evaluation, which is applied to a tool surface treatment and quality evaluation system and specifically includes: Step 1: Extract the initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting.

[0017] Specifically, when extracting the initial surface parameters of the target tool surface, the relevant physical properties of the tool surface are clarified. The tool surface has characteristics such as roughness and wear, which directly affect the cutting performance of the tool. The initial surface parameters represent the state of the tool before starting cutting. Before the tool enters the actual machining state, a comprehensive evaluation is carried out to understand the possible friction, wear, and heat conduction performance of the tool surface, and the possible wear patterns of the tool during cutting can be predicted.

[0018] Step 2: Use the cutting records to simulate the cutting process and establish an interaction model.

[0019] Specifically, the cutting records refer to the historical data of the interaction between the same type of tool and the same type of workpiece of the target tool during the historical cutting process, including cutting force, cutting speed, temperature, tool wear conditions, etc. When simulating the cutting process, the cutting records are used as input data to provide various key parameters in the actual cutting process, and can accurately simulate the interaction behavior between the tool and the workpiece, and predict the performance of the tool under different working conditions.

[0020] Next, a mathematical model of the interaction between the target tool and the target workpiece is created through the cutting process simulation, which can truly reflect the interaction mechanism between the two. The interaction model not only considers the physical contact between the tool and the workpiece, but also involves factors such as force transmission, heat diffusion, and tool wear, accurately reflecting various complex factors in the cutting process, so that the simulation results can be as close to the actual situation as possible.

[0021] Step 3: Combine the initial surface parameters and analyze the tool wear performance through the interaction model to construct an optimization strategy for tool surface treatment.

[0022] Specifically, the interaction model is a mathematical model of the interaction between the tool and the workpiece, which comprehensively considers factors such as cutting force, temperature, and wear, and can simulate how the tool contacts, deforms, and wears with the workpiece during the cutting process. By combining the initial surface parameters and the interaction model, the performance of the tool under actual working conditions can be accurately simulated. By analyzing these results, a prediction of tool wear can be obtained, and the parts that are prone to significant wear can be identified.

[0023] Finally, based on the analysis of the tool wear performance, an optimization strategy for tool surface treatment can be constructed. The surface treatment optimization strategy is an improvement measure proposed for the tool wear situation, aiming to improve the performance of the tool such as wear resistance, hardness, or thermal stability. Common surface treatment methods include coating, heat treatment, laser cladding, etc. The optimization strategy needs to be formulated according to the wear analysis results. For example, if a certain part of the tool wears too fast, a more wear-resistant coating may need to be added to this area or a material with higher hardness may be used to extend the service life of the tool.

[0024] Step 4: Conduct quality assessment of the surface treatment according to the optimized tool surface treatment strategy, and feedback the quality assessment results to the optimized tool surface treatment strategy.

[0025] Specifically, the optimized tool surface treatment strategy is an improvement measure constructed through analysis based on factors such as the wear condition, cutting force, and temperature shown by the tool during use. Furthermore, by changing the surface characteristics of the tool, such as adding a coating or increasing hardness, the wear resistance and service life of the tool can be improved. After implementing the surface treatment measures, quality assessment is required to ensure that the optimization strategy achieves the expected effect.

[0026] Next, the quality assessment of the surface treatment is to judge the implemented surface treatment method and determine its effect and the degree of improvement in tool performance. Quality assessment usually includes checking factors such as the surface finish, hardness, and coating adhesion of the tool to ensure that the state of the tool after surface treatment meets the design requirements. For example, if the coated tool is more wear-resistant than the uncoated tool, the effect of the coating can be confirmed through hardness testing or wear tests, which can provide feedback for subsequent production and ensure the effectiveness of the optimization strategy.

[0027] Finally, adjust and improve the existing optimization strategy according to the assessment results. If the assessment results show that the surface treatment effect is not good, such as insufficient coating adhesion or insignificant hardness improvement, it is necessary to readjust the surface treatment plan to improve its effect. For example, if in the hardness test, the coating hardness only increases to three hundred hardness while the target hardness is five hundred hardness, then it is necessary to adjust the composition or thickness of the coating to achieve the target.

[0028] The tool surface treatment and quality assessment method is applied to the tool surface treatment and quality assessment system, which can achieve the technical goal of more comprehensively and accurately evaluating the tool surface quality and cutting performance, improve the scientificity and pertinence of tool surface treatment, and thus improve the wear resistance, cutting efficiency, and machining accuracy of the tool.

[0029] Furthermore, this application also includes: establishing a target tool model based on the geometric parameters and material properties of the target tool, and establishing a target workpiece model based on the geometric parameters and material properties of the target workpiece; extracting cutting records corresponding to different surface parameters of the same type of tool according to the target tool, and obtaining the action records and assigning them to the target tool model and the target workpiece model to obtain target action parameters, where the action record is the record when the same type of tool acts on the same type of workpiece extracted from the cutting record, and the same type of workpiece is the workpiece of the same type as the target workpiece; performing grid division on the target action parameters to obtain an action grid, and establishing an interaction model through the analysis of cutting force, temperature, and surface wear of the action record in the action grid.

[0030] Specifically, when establishing the target tool model, the geometric parameters and material properties of the target tool are used. The geometric parameters include the tool's dimensions, shape, cutting edge angles, etc., which determine the actual performance of the tool during machining. The material properties include hardness, wear resistance, toughness, etc., which affect the cutting performance and service life of the tool.

[0031] Similarly, when establishing the target workpiece model, it needs to be constructed based on the geometric parameters and material properties of the target workpiece. The geometric parameters of the workpiece usually include its shape, dimensions, surface condition, etc., which are closely related to the tool contact situation during the machining process. The material properties are important variables that affect factors such as cutting force and surface quality during the machining of the workpiece.

[0032] Next, the cutting records corresponding to different surface parameters of the same type of tool are extracted from the target tool. These records are obtained when cutting the same type of workpiece with different surface-treated tools under the same conditions. The effect records are extracted from the cutting records and assigned to the target tool model and the target workpiece model. Among them, the assignment refers to performing simulation training through historical data. Subsequently, by analyzing the effect records, the influence of different surface parameters on the cutting performance of the tool can be understood, and thus the effect parameters of the target tool can be obtained.

[0033] Then, the target effect parameters are meshed to obtain an effect mesh. The meshing is to more accurately simulate various physical phenomena during the cutting process in subsequent analysis. Each mesh element represents a small area where the tool contacts the workpiece, or an area where the tool and the workpiece are not in contact. Through these meshes, the changes in parameters such as cutting force, temperature, and surface wear can be better tracked. In the mesh, by analyzing the data such as cutting force, temperature, and surface wear in the effect records, an interaction model between the tool and the workpiece is established, which helps to predict the performance of the tool under different machining conditions and can provide information such as tool wear and cutting force changes, thereby optimizing the tool and the machining process.

[0034] Furthermore, this application also includes: meshing the non-contact area of the target tool model in the effect mesh with a first meshing granularity to obtain a first effect mesh; meshing the non-contact area of the target workpiece model in the effect mesh with a second meshing granularity to obtain a second effect mesh; meshing the contact area in the effect mesh with a third meshing granularity to obtain a third effect mesh; and combining the first effect mesh, the second effect mesh, and the third effect mesh as the effect mesh.

[0035] Specifically, when meshing the non-contact area of the target tool model, the first meshing granularity is used. The non-contact area refers to the part where the tool surface and the workpiece surface do not contact, that is, the area where the tool will not directly contact the workpiece during the cutting process. The first meshing granularity usually refers to the coarseness or fineness of the meshing. The larger the meshing granularity, the larger the mesh elements, the smaller the computational amount, but the accuracy may decrease. By meshing the non-contact area, the first action mesh is obtained, and this mesh reflects the area of the relative movement between the tool and the workpiece.

[0036] Next, the non-contact area of the target workpiece model is meshed with the second meshing granularity to obtain the second action mesh. The non-contact area of the workpiece refers to the part where the workpiece surface does not directly contact the tool, usually the blank area during the cutting process. The second meshing granularity is usually different from the first meshing granularity and can be adjusted according to the characteristics of the workpiece and the required computational accuracy. By meshing the non-contact area of the workpiece, a finer area division can be obtained, so as to more accurately analyze the physical changes in these parts.

[0037] On this basis, the contact area in the action mesh is then meshed with the third meshing granularity to obtain the third action mesh. The contact area refers to the part where the tool and the workpiece actually contact, involving changes in factors such as cutting force, temperature, and wear. The meshing of the contact area usually has a finer granularity in order to more accurately simulate the interaction between the tool and the workpiece. For example, if the contact area between the tool and the workpiece is small, the meshing needs to be more detailed to capture subtle cutting changes and temperature fluctuations.

[0038] Finally, the first action mesh, the second action mesh, and the third action mesh are merged to form the final action mesh to form a complete mesh system. The action mesh not only includes the non-contact areas of the tool and the workpiece, but also finely describes the contact area, thus making the subsequent physical analysis more comprehensive. By merging these meshes, it can be ensured that during the entire cutting process, the physical changes in different areas can be accurately simulated, thereby improving the accuracy of the analysis results.

[0039] Furthermore, this application also includes: monitoring action points according to action determination conditions in the third action mesh to obtain action points, where the action points are force application points; updating the action points based on the nearest neighbor search to update the first action mesh, the second action mesh, and the third action mesh; obtaining the force application area with the updated third action mesh.

[0040] Specifically, in the third action grid, action point monitoring is carried out according to the action determination conditions to obtain the action points. The action determination conditions refer to the conditions set according to the mechanical principles and the characteristics of the cutting process, which are used to judge which grid cells have the action of force, usually the action of cutting force, friction force, etc. When the force at a certain position in the grid cell reaches the set standard, it will be recognized as an action point. The action point usually refers to the position where the force acts, and usually corresponds to the key part of the contact or cutting area between the tool and the workpiece during the cutting process. For example, if the cutting force exceeds a certain threshold, it can be marked as an action point in the grid, indicating that the force at this position is relatively large and has a significant impact on the tool and the workpiece.

[0041] Next, the action points are updated based on the nearest neighbor search. The nearest neighbor search is a technique for finding the relationship between adjacent grid cells by calculating the distance. In the cutting simulation, the position of the action point may change with the movement of the tool during the cutting process. Therefore, it is necessary to dynamically update the action points. Through the nearest neighbor search, the action points at the new position can be quickly identified and the update can be reflected in the grid. After the update, the first action grid, the second action grid, and the third action grid will be adjusted accordingly, ensuring the real-time performance and accuracy of the grid model and being able to adapt to the continuously changing contact state between the tool and the workpiece during the cutting process.

[0042] Then, the force-bearing area is obtained from the updated third action grid. Among them, the force-bearing area can be expressed as a concentrated force-bearing area, which refers to the area in the grid where relatively large mechanical actions occur during the cutting process. These areas usually correspond to the parts where the tool and the workpiece are in the most frequent contact or the force is most concentrated. Through the updated grid, the high-stress areas can be accurately identified and further used to analyze tool wear and cutting efficiency. For example, if a certain part in the third action grid shows a relatively large force, it may be due to the angle or speed of the contact between the tool and the workpiece during the cutting process. At this time, it is necessary to optimize the design of the tool or the workpiece to reduce excessive wear.

[0043] Furthermore, this application also includes: monitoring the surface temperature change of the target tool to obtain the overheated area; tracking the diffusion of the overheated area through the heat conduction of the third action grid to obtain the heat-affected area.

[0044] Specifically, the surface temperature change of the target tool is monitored to obtain the overheated area. The temperature change refers to the temperature change on the tool surface due to factors such as cutting force and friction during the cutting process. The overheated area refers to the area where the tool surface temperature exceeds a certain critical value, indicating that due to excessive heat generated during the cutting process, it cannot be dissipated in time. By monitoring the temperature change of the tool, it can be determined which parts have too high a temperature, thus identifying these overheated areas.

[0045] Next, heat conduction refers to the process by which heat is transferred from a region of higher temperature to a region of lower temperature. In the third action grid, heat conduction can be carried out by simulating heat flow and tracking how the temperature in the overheated region diffuses to the surrounding regions. The heat-affected zone includes the overheated region and the regions where the temperature increases due to the heat transfer from the overheated region. The heat-affected zone may affect the material properties of the cutting tool or the surface quality of the workpiece, so special attention needs to be paid. Through the simulation of heat conduction, the expansion range of the overheated region can be understood in detail, which helps to analyze the possible thermal damage problems of the cutting tool and the workpiece during the cutting process.

[0046] Furthermore, this application also includes: performing deformation analysis on the surface of the target cutting tool based on the initial surface parameters to obtain the deformed region; constructing an optimization strategy for cutting tool surface treatment for the deformed region to perform surface treatment.

[0047] Specifically, performing deformation analysis on the surface of the target cutting tool based on the initial surface parameters, and the deformation analysis is to simulate the shape change of the cutting tool after being stressed during the cutting process through physical principles. During the cutting process, the cutting tool will undergo elastic or plastic deformation due to factors such as cutting force and friction, especially the surface of the cutting tool. The deformed region refers to the region on the surface of the cutting tool where significant deformation occurs, which may be deformed due to large cutting force or high temperature.

[0048] Next, for the deformed region, construct an optimization strategy for cutting tool surface treatment for surface treatment. The surface treatment optimization strategy refers to designing a suitable surface treatment method according to the deformation of the cutting tool surface to improve the performance of the cutting tool such as wear resistance, hardness or surface finish. Surface treatment includes methods such as coating, heat treatment, and chemical treatment, which can slow down the deformation of the cutting tool and enhance the service life of the cutting tool. The optimization strategy needs to consider the working environment of the cutting tool, material characteristics, and the specific conditions of the deformed region. For example, if the deformed region is mainly concentrated in the cutting edge part of the cutting tool, wear-resistant coatings or enhanced heat treatment can be considered to increase the hardness of this region and avoid excessive wear during the cutting process.

[0049] Furthermore, this application also includes: analyzing the influence of cutting force and temperature on the wear rate in surface wear in the third action grid to plot the change trend of the wear rate; analyzing the influence of cutting force and temperature on the tool failure mode in surface wear in the heat-affected zone to obtain the failure mode set; based on the change trend of the wear rate and the failure mode set, extracting and constructing the optimization strategy for cutting tool surface treatment from the set of optimization strategies for cutting tool surface treatment.

[0050] Specifically, in the third action grid, by analyzing the influence of cutting force and temperature on the wear rate in surface wear, the changing trend of the wear rate is plotted. The cutting force refers to the force acting between the tool and the workpiece during the cutting process, and the temperature is the heat generated due to friction and deformation during the cutting process. During the cutting process of the tool, both the cutting force and the temperature will have a direct impact on the wear of the tool surface, thereby determining the wear rate of the tool. The wear rate refers to the speed at which the material on the tool surface wears, and it will change with the changes in the cutting force and temperature. By analyzing the influence of these factors on the wear rate, a trend graph of the wear rate changing with the cutting force and temperature can be plotted, which helps to obtain the tool wear situation under different cutting conditions, thereby providing a basis for optimizing the tool usage parameters. For example, through the analysis of the influence of cutting force and temperature on the wear rate in surface wear, the change table of the wear rate is as follows: Table 1: Change Table of the Influence of Cutting Force and Temperature on the Wear Rate

[0051] Next, in the heat-affected zone, by analyzing the influence of cutting force and temperature on the tool failure modes in surface wear, a set of failure modes is obtained. The heat-affected zone refers to the area where the temperature rises due to the overheating of the tool, and these areas may cause the failure of the tool. The failure mode refers to the different manifestation ways in which the tool loses its function due to wear, cracks, thermal fatigue, etc. during the working process. By analyzing the influence of cutting force and temperature on the tool failure modes, the possible failure situations of the tool under different working conditions can be predicted, and then a set of failure modes can be obtained. The set of failure modes includes various possible forms of tool failure, such as crack propagation, coating spalling, tool fracture, etc.

[0052] Finally, based on the changing trend of the wear rate and the set of failure modes, the tool surface treatment optimization strategy is extracted and constructed from the tool surface treatment optimization strategy set. Through the previous analysis of the wear rate and failure modes, the performance changes of the tool under different working conditions can be clearly understood. The optimization strategy is a measure formulated to improve the tool performance according to these analysis results. The tool surface treatment optimization strategy includes means such as coating, heat treatment, and surface strengthening to improve the wear resistance, hardness, and heat resistance of the tool, thereby extending the service life of the tool. By combining the changing trend of the wear rate and the set of failure modes, the most effective surface treatment methods can be extracted. For example, for some failure modes, a thicker coating protection may be required, while for areas with too fast wear rate, the hardness of the tool may need to be increased.

[0053] In summary, the tool surface treatment and quality evaluation method provided by the present application has the following technical effects: by extracting the initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting; simulating the cutting process with the cutting records to establish an interaction model; combining the initial surface parameters, analyzing the tool wear performance through the interaction model, and constructing an optimization strategy for tool surface treatment; evaluating the quality of the surface treatment according to the tool surface treatment optimization strategy, and feeding back the quality evaluation result to the tool surface treatment optimization strategy. That is to say, by achieving the technical goal of more comprehensively and accurately evaluating the tool surface quality and cutting performance, the scientificity and pertinence of tool surface treatment are improved, thereby achieving the technical effects of improving the wear resistance, cutting efficiency, and machining accuracy of the tool.

[0054] Embodiment 2. Based on the tool surface treatment and quality evaluation method in the foregoing embodiment and with the same inventive concept, the present application also provides a tool surface treatment and quality evaluation system. Please refer to the attached Figure 2 , including: a parameter extraction module 11, which is used to extract the initial surface parameters of the target tool surface, where the initial surface parameters are the tool surface parameters before the target tool starts cutting; a model establishment module 12, which is used to simulate the cutting process with the cutting records to establish an interaction model; a strategy construction module 13, which is used to combine the initial surface parameters and analyze the tool wear performance through the interaction model to construct an optimization strategy for tool surface treatment; a quality evaluation module 14, which is used to evaluate the quality of the surface treatment according to the tool surface treatment optimization strategy and feed back the quality evaluation result to the tool surface treatment optimization strategy.

[0055] Furthermore, the tool surface treatment and quality evaluation system is also used for: establishing a target tool model based on the geometric parameters and material properties of the target tool, and establishing a target workpiece model based on the geometric parameters and material properties of the target workpiece; extracting the cutting records corresponding to different surface parameters of the same type of tool according to the target tool, and obtaining the action records and assigning them to the target tool model and the target workpiece model to obtain target action parameters, where the action records are the records when the same type of tool acts on the same type of workpiece extracted from the cutting records, and the same type of workpiece is the workpiece of the same type as the target workpiece; dividing the target action parameters into grids to obtain action grids, and establishing an interaction model through the analysis of the cutting force, temperature, and surface wear of the action records in the action grids.

[0056] Further, the tool surface treatment and quality assessment system is also used for: dividing the non-contact area of the target tool model in the action grid with a first division granularity to obtain a first action grid; dividing the non-contact area of the target workpiece model in the action grid with a second division granularity to obtain a second action grid; dividing the contact area in the action grid with a third division granularity to obtain a third action grid; and merging the first action grid, the second action grid, and the third action grid as the action grid.

[0057] Further, the tool surface treatment and quality assessment system is also used for: monitoring action points in the third action grid according to action determination conditions to obtain action points, where the action points are force application points; updating the action points based on nearest neighbor search to update the first action grid, the second action grid, and the third action grid; and obtaining a force application area with the updated third action grid.

[0058] Further, the tool surface treatment and quality assessment system is also used for: monitoring the surface temperature change of the target tool to obtain an overheated area; and tracking the diffusion of the overheated area through heat conduction of the third action grid to obtain a heat affected area.

[0059] Further, the tool surface treatment and quality assessment system is also used for: performing deformation analysis on the surface of the target tool based on the initial surface parameters to obtain a deformation area; and constructing an optimization strategy for tool surface treatment for the deformation area for surface treatment.

[0060] Further, the tool surface treatment and quality assessment system is also used for: analyzing the influence of cutting force and temperature on the wear rate in surface wear in the third action grid to plot the change trend of the wear rate; analyzing the influence of cutting force and temperature on the tool failure mode in surface wear in the heat affected area to obtain a set of failure modes; and extracting and constructing the optimization strategy for tool surface treatment from the set of optimization strategies for tool surface treatment based on the change trend of the wear rate and the set of failure modes.

[0061] The various embodiments in this specification are described in a progressive manner, and the key point of each embodiment is the difference from other embodiments. The tool surface treatment and quality assessment method and specific examples in the foregoing Embodiment 1 are equally applicable to the tool surface treatment and quality assessment system in this embodiment. Through the foregoing detailed description of the tool surface treatment and quality assessment method, those skilled in the art can clearly know the tool surface treatment and quality assessment system in this embodiment. Therefore, for the sake of brevity of the specification, it will not be elaborated herein.

[0062] The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but rather is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these changes and variations.

Claims

1. Tool surface treatment and quality assessment method, characterized in that: include: Extracting initial surface parameters of the target tool surface, wherein the initial surface parameters are tool surface parameters before the target tool starts cutting; Use cutting records to simulate the cutting process and build an interactive model; In combination with the initial surface parameters, the tool wear performance is analyzed through the interactive model to construct a tool surface treatment optimization strategy; The quality assessment of the surface treatment is performed according to the tool surface treatment optimization strategy, and the quality assessment result is fed back to the tool surface treatment optimization strategy.

2. The tool surface treatment and quality assessment method according to claim 1, characterized in that: Simulate the cutting process based on cutting records and build interactive models, including: Establishing a target tool model based on the geometric parameters and material properties of the target tool, and establishing a target workpiece model based on the geometric parameters and material properties of the target workpiece; Extracting cutting records corresponding to different surface parameters of the same type of tools according to the target tool, and obtaining action records to assign to the target tool model and the target workpiece model, to obtain target action parameters, wherein the action record is a record when the same type of tool extracted from the cutting record acts on the same type of workpiece, and the same type of workpiece is a workpiece of the same type as the target workpiece; The target action parameters are meshed to obtain an action grid, and the cutting force, temperature and surface wear recorded in the action grid are analyzed to establish an interactive model.

3. The tool surface treatment and quality assessment method according to claim 2, characterized in that: Gridding the target action parameters to obtain an action grid includes: Meshing a non-contact area of ​​the target tool model in the action grid with a first division granularity to obtain a first action grid; Meshing a non-contact area of ​​the target workpiece model in the active mesh with a second meshing granularity to obtain a second active mesh; Meshing the contact area in the action grid with a third granularity to obtain a third action grid; The first active mesh, the second active mesh and the third active mesh are combined as the active mesh.

4. The tool surface treatment and quality assessment method according to claim 3, characterized in that: The cutting force analysis recorded in the action grid by the action includes: In the third action grid, action point monitoring is performed according to the action determination condition to obtain an action point, wherein the action point is a force receiving point; The action point is updated based on the nearest neighbor search, and the first action grid, the second action grid and the third action grid are updated by updating the action point; The force area is obtained by using the updated third action grid.

5. The tool surface treatment and quality assessment method according to claim 4, characterized in that: Analysis of the temperature recorded in the action grid by the action, including: Monitoring the surface temperature change of the target tool to obtain an overheating area; Through the heat conduction of the third action grid, the diffusion of the overheated area is tracked to obtain the heat affected area.

6. The tool surface treatment and quality assessment method according to claim 5, characterized in that: Analysis of the surface wear recorded in the action grid by the action includes: Performing deformation analysis on the target tool surface based on the initial surface parameters to obtain a deformation area; For the deformation area, a tool surface treatment optimization strategy is constructed for surface treatment.

7. The tool surface treatment and quality assessment method according to claim 6, characterized in that: The interactive model is used to analyze tool wear performance and build a tool surface treatment optimization strategy, including: In the third action grid, the influence of cutting force and temperature on the wear rate in surface wear is analyzed, and the change trend of the wear rate is plotted; In the heat affected area, a failure mode set is obtained by analyzing the influence of cutting force and temperature on tool failure modes in surface wear; Based on the variation trend of the wear rate and the failure mode set, the tool surface treatment optimization strategy is extracted and constructed from the tool surface treatment optimization strategy set.

8. Tool surface treatment and quality assessment system, characterized in that: The steps for implementing the tool surface treatment and quality assessment method according to any one of claims 1 to 7 include: A parameter extraction module, wherein the parameter extraction module is used to extract initial surface parameters of the target tool surface, wherein the initial surface parameters are tool surface parameters before the target tool starts cutting; A model building module, wherein the model building module is used to simulate the cutting process based on the cutting records and to build an interactive model; A strategy building module, wherein the strategy building module is used to analyze tool wear performance through the interactive model in combination with the initial surface parameters, and to build a tool surface treatment optimization strategy; A quality assessment module is used to perform a quality assessment of the surface treatment according to the tool surface treatment optimization strategy, and feed back the quality assessment result to the tool surface treatment optimization strategy.

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