Method, device and equipment for determining standard scratch depth of helicopter component and medium

Abstract

The invention relates to the technical field of material fatigue performance prediction, and discloses a method and device for determining the standard scratch depth of a helicopter component, equipment and a medium, and the method comprises the steps: obtaining stress field data of a helicopter transmission component model under different scratch configuration parameters; analyzing the stress field data to obtain a radius reference value and a depth reference value of the standard scratch configuration; based on the radius reference value and the depth reference value, generating statistical data of multiple groups of scratch defects, and performing equivalent processing on the statistical data to obtain a probability density function of an equivalent depth value; and determining an equivalent depth value corresponding to the preset probability according to the probability density function, and taking the equivalent depth value corresponding to the preset probability as a standard scratch depth value. The method solves the problem that the defect tolerance design of the helicopter transmission system structural part lacks a standardized scratch determination method.

Description

Technical Field

[0001] The invention relates to the field of material fatigue performance prediction, and in particular to a method, device, equipment and medium for determining a standard scratch depth of a helicopter component. Background Art

[0002] As a key aircraft, helicopters play an important role in military and civilian fields. Its three major moving parts - transmission system, turboshaft engine and rotor system - are core components, responsible for transmitting engine power, bearing rotor loads and transmitting them to the platform, and providing installation interfaces. In an emergency, ensure that the rotor spins down to ensure a safe landing. With the advancement of helicopter technology, the safety and reliability requirements of the transmission system have increased. However, in actual production, manufacturing and use, the transmission system is inevitably prone to defects such as impact, scratches, and corrosion, which lead to structural mutations and stress concentration, seriously affecting the service life and safety, and posing a threat to flight safety.

[0003] However, the existing technology still has some shortcomings and drawbacks in practical applications. In particular, for typical defects such as scratch defects, there is a lack of systematic basic data and reference life assessment models and design methods, which cannot provide sufficient technical support for the scratch defect tolerance design of transmission system structural parts. Summary of the invention

[0004] In view of this, the embodiments of the present invention provide a method, device, equipment and medium for determining the standard scratch depth of helicopter components to solve the problem of lack of a standardized scratch determination method in the defect tolerance design of helicopter transmission system structural parts.

[0005] In a first aspect, an embodiment of the present invention provides a method for determining a standard scratch depth of a helicopter component, the method comprising:

[0006] Obtain stress field data of helicopter transmission component model under different scratch configuration parameters;

[0007] Analyzing the stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration;

[0008] Based on the radius reference value and the depth reference value, multiple groups of scratch defect statistical data are generated, and the statistical data are quantified to obtain a probability density function of an equivalent depth value;

[0009] An equivalent depth value corresponding to a preset probability is determined according to the probability density function, and the equivalent depth value corresponding to the preset probability is used as a standard scratch depth value.

[0010] In an optional embodiment of the present application, the step of obtaining stress field data of a helicopter transmission component model under different scratch configuration parameters includes:

[0011] Obtaining physical parameters of helicopter transmission components;

[0012] Establishing a geometric model of the helicopter transmission component according to the physical parameters;

[0013] Applying different scratch defects to the geometric model to obtain a component model with scratch defects;

[0014] Numerical simulation is performed on the component model with scratch defects to obtain the stress field data of the component model under different scratch configuration parameters.

[0015] In an optional implementation manner of the present application, generating multiple groups of scratch defect statistics based on the radius reference value and the depth reference value includes:

[0016] Determining a radius range based on the radius reference value;

[0017] determining a depth range based on the depth reference value;

[0018] Within the radius range and the depth range, a plurality of groups of scratch defect statistical data are randomly generated, wherein the statistical data include depth values ​​and radius values ​​of the scratch defects.

[0019] In an optional implementation manner of the present application, the quantization processing of the statistical data to obtain a probability density function of an equivalent depth value includes:

[0020] Performing quantization processing on the depth value and radius value of the scratch defect in the statistical data to obtain a corresponding equivalent depth value;

[0021] Analyze the equivalent depth values ​​to obtain a distribution law of the equivalent depth values;

[0022] The equivalent depth value is fitted based on the distribution law to obtain the corresponding probability density function.

[0023] In an optional implementation of the present application, the calculation formula for the equivalent quantification processing is as follows:

[0024]

[0025] Among them, h is the depth value; r is the radius value; h′ is the equivalent depth value; r0 is the radius reference value; h0 is the depth reference value.

[0026] In an optional embodiment of the present application, the method further includes:

[0027] Detect target components with scratch defects in current helicopter transmission components;

[0028] Comparing the actual scratch depth value on the target component with the standard scratch depth value to obtain a comparison result;

[0029] The target component is quality assessed based on the comparison result to obtain a quality assessment result.

[0030] In an optional embodiment of the present application, performing quality assessment on the target component based on the comparison result to obtain a quality assessment result includes:

[0031] If the comparison result is that the actual scratch depth value is less than or equal to the standard scratch depth value, then determining that the quality assessment result is qualified;

[0032] Alternatively, if the comparison result is that the actual scratch depth value is greater than the standard scratch depth value, the quality assessment result is determined to be unqualified.

[0033] In a second aspect, an embodiment of the present invention provides a device for determining a standard scratch depth of a helicopter component, the device comprising:

[0034] An acquisition module is used to acquire stress field data of a helicopter transmission component model under different scratch configuration parameters;

[0035] An analysis module, used for analyzing the stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration;

[0036] A generating module, used for generating multiple groups of scratch defect statistical data based on the radius reference value and the depth reference value, and performing equivalent quantization processing on the statistical data to obtain a probability density function of an equivalent depth value;

[0037] The determination module is used to determine an equivalent depth value corresponding to a preset probability according to the probability density function, and use the equivalent depth value corresponding to the preset probability as a standard scratch depth value.

[0038] In a third aspect, an embodiment of the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0039] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method of the first aspect or any corresponding embodiment thereof.

[0040] The method provided in the embodiment of the present application has the following beneficial effects:

[0041] The method provided in the embodiment of the present application provides a basis for subsequent standard scratch configuration analysis by obtaining comprehensive stress field data, ensuring data diversity, covering different scratch configuration parameters, and improving the accuracy and applicability of the analysis. By deeply analyzing the stress field data, the radius and depth reference values ​​of the standard scratch configuration are determined, and clear reference values ​​are provided, providing a basis for the standardized processing of subsequent scratch defects. Generate multiple sets of statistical data of scratch defects to enhance the reliability and comprehensiveness of the analysis. Through quantization processing, the probability density function of the equivalent depth value is obtained, providing a scientific basis for determining the standard scratch depth value. The equivalent depth value corresponding to the preset probability is determined according to the probability density function. The equivalent depth value is used as the standard scratch depth value to ensure the consistency and dimensional accuracy of the prefabricated scratches and meet the needs of engineering applications.

[0042] The method provided in the embodiment of the present application provides a reliable basis for subsequent modeling by obtaining the physical parameters of the helicopter transmission components. A geometric model is established based on accurate physical parameters to provide an accurate structural basis for the application of scratch defects and stress field analysis. Different scratch defects are applied to the geometric model to simulate the scratch conditions in actual use, providing diversified data for subsequent stress field analysis. Stress field data under different scratch configuration parameters are obtained through numerical simulation, providing comprehensive data support for the mechanical property analysis of scratch defects.

[0043] The method provided in the embodiment of the present application determines the radius range based on the radius reference value, providing a clear range basis for the subsequent generation of multiple sets of scratch defect statistics. The depth range is determined based on the depth reference value to ensure that the generated scratch defect statistics are within a reasonable depth range. Multiple sets of scratch defect statistics are randomly generated within the determined radius and depth range, improving the diversity and comprehensiveness of the data and providing a solid foundation for subsequent analysis.

[0044] The method provided in the embodiment of the present application converts the depth value and radius value of the scratch defect into an equivalent depth value through equivalence processing, thereby simplifying the analysis process and highlighting the main impact of the scratch defect on the performance of the component. The distribution law of the equivalent depth value is analyzed to provide a basis for the subsequent probability density function fitting. The equivalent depth value is fitted based on the distribution law to obtain the corresponding probability density function, which provides a mathematical model for determining the standard scratch depth value. Timely detect the target components with scratch defects in the current helicopter transmission components to provide a clear object for subsequent quality assessment. Compare the actual scratch depth value on the target component with the standard scratch depth value to obtain an accurate comparison result, which provides a direct basis for quality assessment. Perform a quality assessment on the target component based on the comparison result to obtain a clear quality assessment result, which provides scientific guidance for the use and maintenance of the component. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 is a flow chart of a method for determining a standard scratch depth of a helicopter component according to some embodiments of the present invention;

[0047] Figure 2 is a histogram of equivalent depth frequency distribution after quantization according to an embodiment of the present invention;

[0048] Figure 3 is a schematic diagram of function fitting of equivalent depth probability density according to an embodiment of the present invention;

[0049] Figure 4 is a structural block diagram of a device for determining a standard scratch depth of a helicopter component according to an embodiment of the present invention;

[0050] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0052] According to an embodiment of the present invention, a method, device, apparatus and medium for determining a standard scratch depth of a helicopter component are provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0053] In this embodiment, a method for determining a standard scratch depth of a helicopter component is provided. Figure 1 4 is a flow chart of a method for determining a standard scratch depth of a helicopter component according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0054] Step S11, obtaining stress field data of the helicopter transmission component model under different scratch configuration parameters.

[0055] In the embodiment of the present application, the process of obtaining stress field data is a key link in the standard scratch determination method for defect tolerance design of helicopter transmission system structural parts, specifically including the use of numerical simulation technology to simulate and analyze the impact of scratch defects on the stress distribution of helicopter transmission components.

[0056] In the embodiment of the present application, step S11 includes the following steps A1-A4:

[0057] Step A1, obtaining physical parameters of helicopter transmission components.

[0058] In the embodiment of the present application, the physical parameters of the helicopter transmission components may include the material properties of the components (such as elastic modulus, yield strength, Poisson's ratio, etc.), geometric dimensions (such as length, width, height and detailed dimensions of each part), actual features (such as fillets, chamfers, holes, slots, etc.) and other related parameters (such as mass, density, etc.). These physical parameters are the key to establishing an accurate simulation model because they will directly affect the results of numerical simulation and subsequent analysis.

[0059] Step A2: establishing a geometric model of helicopter transmission components according to physical parameters.

[0060] In the embodiment of the present application, a three-dimensional modeling software (such as SolidWorks, CATIA, UG, etc.) is used to construct a geometric model of a transmission member according to the obtained physical parameters and actual shape. In the modeling process, it is necessary to ensure the accuracy of the model, including the accurate representation of size, shape and features. For example, fillets and chamfers need to be modeled according to the actual size because they affect the distribution of stress. If the transmission member has a complex internal structure or assembly relationship, it is also necessary to consider the impact of these internal structures and assembly relationships on the model and represent them in the model. After the geometric model is initially established, model verification is required, which can be completed by comparing with the actual transmission member, preliminary stress analysis or manual assistance. If there are problems or inaccuracies in the model, it is corrected and re-verified until the model meets the requirements. After the model verification is passed, the model can also be optimized, including simplifying the model (such as removing small features that have little effect on the analysis results), adjusting the meshing strategy, etc. Finally, the optimized geometric model is output to a format suitable for numerical simulation software (such as .stp, .iges, .x_t, etc.) for subsequent numerical simulation and stress analysis.

[0061] Step A3: applying different scratch defects to the geometric model to obtain a component model with scratch defects.

[0062] In an embodiment of the present application, the scratch defect includes vertical scratches of different depths and radii, wherein the selection of these parameters should be based on the damage conditions encountered by the actual transmission components during use, and the specific requirements for stress analysis. According to the defined scratch defect parameters, select tools and methods to apply vertical scratches on the geometric model, such as using specific tools in the 3D modeling software (stretching, cutting, chamfering and other tools) to create scratch shapes, or simulate vertical scratches by modifying the geometric data of the model. Create a vertical scratch shape on the surface of the geometric model, and adjust its depth and radius to match the required defect. Generate a series of component models with different scratch defects as needed, wherein these models can include scratch combinations of different depths and radii to simulate various damage conditions.

[0063] Step A4, performing numerical simulation on the component model with scratch defects to obtain stress field data of the component model under different scratch configuration parameters.

[0064] In the embodiment of the present application, first, the geometric model of the helicopter transmission component with scratch defects is imported into the numerical simulation software, such as ANSYS, Abaqus, SolidWorks Simulation, etc. Secondly, the physical properties of the material, such as elastic modulus, Poisson's ratio, yield strength, etc., are set in the simulation software. According to the actual working conditions of the transmission component, the corresponding boundary conditions, such as fixed constraints, loading forces or moments, etc., are set. Again, the model is meshed, and the continuum is divided into a finite number of small units (such as tetrahedrons, hexahedrons, etc.) for numerical calculation, and the mesh is locally refined in the scratch defect area. Finally, a suitable solver is selected, and the solution parameters, such as solution type (static, dynamic), convergence criteria, etc., are set. Start the simulation calculation, and the software will solve the model based on physical equations and numerical methods (such as finite element method) to calculate the stress field distribution of the component model under different scratch configuration parameters. After the simulation calculation is completed, the stress field data, including the stress value of each point, the stress distribution cloud map, etc., are extracted from the result file.

[0065] Step S12, analyzing the stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration.

[0066] In the embodiment of the present application, the stress field data of the component model under different scratch configuration parameters are analyzed, especially focusing on the impact of scratch defects on stress distribution and concentration. Through comparison and analysis, a standard scratch configuration can be determined, which will serve as a benchmark for subsequent scratch defect evaluation and tolerance design.

[0067] Specifically, the radius reference value is a standard value of the scratch defect radius, indicating that at this radius, the impact of the scratch defect on the component stress reaches a specific level. Similarly, the depth reference value is a standard value of the scratch defect depth, indicating that at this depth, the impact of the scratch defect on the component performance also reaches a specific degree. The determination of these two reference values ​​is based on an in-depth analysis of the numerical simulation results, and they will serve as an important basis for subsequent scratch defect evaluation and tolerance design.

[0068] Step S13, based on the radius reference value and the depth reference value, generate multiple groups of scratch defect statistical data, and perform quantization processing on the statistical data to obtain a probability density function of an equivalent depth value.

[0069] In the embodiment of the present application, the corresponding range is first determined based on the reference values ​​of radius and depth, and multiple groups of scratch defect statistics are randomly generated within this range, each group of data includes the depth and radius value of the scratch. Then, these data are quantized to convert scratch defects of different depths and radii into an equivalent depth value calculated based on the standard radius value. Then, all the equivalent depth values ​​after quantization are analyzed, their distribution law is observed, and a probability density function is fitted based on this law.

[0070] In the embodiment of the present application, based on the radius reference value and the depth reference value, multiple sets of scratch defect statistics are generated, including the following steps B1-B3:

[0071] Step B1, determining a radius range based on a radius reference value.

[0072] In an embodiment of the present application, after determining the radius reference value of the standard scratch configuration, a reasonable radius range is set according to the reference value to generate statistical data of multiple groups of scratch defects. In actual operation, the radius range is determined based on engineering experience, historical data or expert judgment. For example, the radius range is set to 0.1mm to 0.5mm, which is based on actual observations of different scratch defect radii and radius reference values. This range includes both smaller scratch defects and larger scratch defects, so that the impact of scratch defects on the stress field of helicopter transmission components can be more comprehensively evaluated.

[0073] Step B2: determining a depth range based on the depth reference value.

[0074] In an embodiment of the present application, after determining the depth reference value of the standard scratch configuration, a reasonable depth range is set according to the reference value to generate statistical data of multiple groups of scratch defects. In actual operation, the depth range is determined based on engineering experience, historical data or expert judgment. For example, the depth range is set to 0.1mm to 0.5mm, which is determined based on actual observations of different scratch defect depths and the feasibility of simulation calculations. This range includes both smaller scratch defects and larger scratch defects, which helps to more accurately evaluate the impact of scratch defects on the performance of helicopter transmission components.

[0075] Step B3: randomly generate multiple groups of scratch defect statistics within a radius range and a depth range, wherein the statistical data include depth values ​​and radius values ​​of the scratch defects.

[0076] In the embodiment of the present application, after the radius range and the depth range are determined, a random number generator or other statistical methods are used based on these two ranges to generate multiple sets of depth values ​​and radius values ​​of scratch defects. The generated data will represent various scratch defects expected to appear on helicopter transmission components. In actual operation, a computer program or simulation software can be used to generate these statistical data. The generated data will be used for subsequent quantification processing to obtain the probability density function of the equivalent depth value and finally determine the standard scratch depth.

[0077] In the embodiment of the present application, the statistical data is quantized to obtain a probability density function of an equivalent depth value, including the following steps C1-C3:

[0078] Step C1, performing quantization processing on the depth value and radius value of the scratch defect in the statistical data to obtain the corresponding equivalent depth value.

[0079] In the embodiment of the present application, the calculation formula for the quantization process is as follows:

[0080]

[0081] Among them, h is the depth value; r is the radius value; h′ is the equivalent depth value; r0 is the radius reference value; h0 is the depth reference value.

[0082] As an example, the scratch size of a standard component is set to R = 0.2mm, h is a variable depth value, the scratch opening is 90 degrees, and is perpendicular to the principal stress direction. A scratch defect of any depth h and radius r is equivalent to a scratch defect of an equivalent depth h′ and a standard radius r0 (0.2mm), that is, h′ is calculated by the above formula, which is the equivalent depth. Based on the above formula, 3000 sets of statistical data are randomly generated in a normal distribution with a mean of 0.3mm and a standard deviation of 0.2mm in the depth range of 0.1mm to 0.5mm and the radius range of 0.1 to 0.5mm, and then the statistical data is quantified to obtain the probability density function of the equivalent depth value.

[0083] Step C2: Analyze the equivalent depth values ​​to obtain the distribution law of the equivalent depth values.

[0084] In an embodiment of the present application, first, all equivalent depth values ​​obtained after quantization processing are collected, and these equivalent depth values ​​are sorted and classified, for example, the data is arranged in order of size, or the data is grouped. Secondly, the distribution law of the equivalent depth value is analyzed, wherein the analysis process may include drawing a frequency distribution histogram, calculating statistics (such as mean, standard deviation, etc.) or performing other statistical analysis. Finally, the distribution type of the equivalent depth value (such as whether it is a normal distribution, a Weibull distribution, etc.) is determined based on the analysis results.

[0085] Step C3, fitting the equivalent depth value based on the distribution law to obtain the corresponding probability density function.

[0086] As an example, the distribution law of the equivalent depth after quantization is analyzed, and the frequency distribution histogram of the equivalent depth after quantization is drawn, such as Figure 2 As shown. By observing the frequency distribution histogram, it can be found that the equivalent depth distribution shows a Weibull distribution trend. The data points are fitted with a Weibull distribution to obtain the probability density function of the equivalent depth, as shown below:

[0087]

[0088] Where f(h) is the probability density function and h is the equivalent depth.

[0089] Step S14, determining an equivalent depth value corresponding to a preset probability according to the probability density function, and taking the equivalent depth value corresponding to the preset probability as a standard scratch depth value.

[0090] In the embodiment of the present application, the preset probability represents a measure of the acceptability of the scratch depth. For example, if a probability of 90% is selected, it means that it is expected to find an equivalent depth value so that 90% of the scratch depths will not exceed this value. The corresponding equivalent depth value can be determined by the probability density function through this preset probability. The determined equivalent depth value is finally used as the standard scratch depth value. The standard scratch depth value will be used in the quality assessment and decision-making process to determine whether the scratches on the helicopter transmission components exceed the acceptable level.

[0091] As an example, after obtaining the probability density function of the equivalent depth, a function curve is fitted according to the probability density function, such as Figure 3 As shown. By comparison, it can be found that the fitting effect is good, indicating that the probability density function can well describe the actual distribution of the equivalent depth value. Then, based on this probability density function, the equivalent scratch depth under 90% probability is calculated, and the standard scratch depth is 0.39mm. This value will be used in the subsequent quality assessment process to determine whether the scratches on the component are qualified.

[0092] In the embodiment of the present application, the method further includes the following steps D1-D3:

[0093] Step D1, detecting target components with scratch defects in the current helicopter transmission components.

[0094] In the embodiment of the present application, it is first necessary to conduct a detailed inspection of each component in the helicopter transmission system, including visual inspection, precise measurement, and non-destructive testing. During the inspection, special attention should be paid to whether there are scratch defects on the surface of the component. These scratches can appear as grooves or wear marks of different lengths, widths, and depths. If scratch defects are found, the "target components" with problems are determined, and these components will be regarded as objects that require further evaluation and processing. For each target component identified as having a scratch defect, the location, size, shape, and other information of the scratches must be recorded in detail, and the component must be marked.

[0095] Step D2, comparing the actual scratch depth value on the target component with the standard scratch depth value to obtain a comparison result.

[0096] In the embodiment of the present application, first, it is necessary to measure the depth value of the actual scratch on the target component and obtain the previously determined standard scratch depth value, wherein the standard scratch depth value is determined in the previous step based on the probability density function and the preset probability, and represents a measure of the acceptability of the scratch depth. The actual scratch depth value is compared with the standard scratch depth value. Finally, based on the comparison result, it is determined whether the scratch defect on the target component exceeds the acceptable standard.

[0097] Step D3, performing quality assessment on the target component based on the comparison result to obtain a quality assessment result.

[0098] In an embodiment of the present application, if the comparison result is that the actual scratch depth value is less than or equal to the standard scratch depth value, the quality assessment result is determined to be qualified; or, if the comparison result is that the actual scratch depth value is greater than the standard scratch depth value, the quality assessment result is determined to be unqualified.

[0099] In the embodiment of the present application, the quality of the target component is evaluated based on the comparison results. This evaluation process can be a simple logical judgment: if the actual scratch depth value is less than or equal to the standard scratch depth value, it means that the scratch defect is within the acceptable range, so the quality evaluation result is determined to be "qualified"; if the actual scratch depth value is greater than the standard scratch depth value, it means that the scratch defect exceeds the acceptable range, so the quality evaluation result is determined to be "unqualified". Finally, the quality evaluation result is given in a clear manner, which can be in the form of a written report, electronic record or oral notification. This result will be used to determine whether further repair or replacement measures are needed.

[0100] In this embodiment, a device for determining the standard scratch depth of a helicopter component is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made are not repeated. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0101] This embodiment provides a device for determining the standard scratch depth of a helicopter component. Figure 4 As shown, including:

[0102] An acquisition module 41 is used to acquire stress field data of a helicopter transmission component model under different scratch configuration parameters;

[0103] An analysis module 42 is used to analyze stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration;

[0104] A generating module 43 is used to generate multiple groups of scratch defect statistics based on the radius reference value and the depth reference value, and perform quantization processing on the statistical data to obtain a probability density function of an equivalent depth value;

[0105] The determination module 44 is used to determine the equivalent depth value corresponding to the preset probability according to the probability density function, and use the equivalent depth value corresponding to the preset probability as the standard scratch depth value.

[0106] In an optional embodiment of the present application, an acquisition module 41 is used to acquire physical parameters of a helicopter transmission component; establish a geometric model of the helicopter transmission component based on the physical parameters; apply different scratch defects to the geometric model to obtain a component model with scratch defects; perform numerical simulation on the component model with scratch defects to obtain stress field data of the component model under different scratch configuration parameters.

[0107] In an optional embodiment of the present application, a generation module 43 is used to determine a radius range based on a radius reference value; determine a depth range based on a depth reference value; and randomly generate multiple groups of scratch defect statistics within the radius range and the depth range, wherein the statistical data include depth values ​​and radius values ​​of the scratch defects.

[0108] In an optional embodiment of the present application, a generation module 43 is used to quantize the depth values ​​and radius values ​​of the scratch defects in the statistical data to obtain corresponding equivalent depth values; analyze the equivalent depth values ​​to obtain the distribution law of the equivalent depth values; and fit the equivalent depth values ​​based on the distribution law to obtain the corresponding probability density function.

[0109] In an optional embodiment of the present application, the device also includes: an evaluation module, used to detect a target component with a scratch defect in the current helicopter transmission component; compare the actual scratch depth value on the target component with the standard scratch depth value to obtain a comparison result; and perform a quality evaluation on the target component based on the comparison result to obtain a quality evaluation result.

[0110] In an optional embodiment of the present application, the evaluation module is used to determine that the quality evaluation result is qualified if the comparison result is that the actual scratch depth value is less than or equal to the standard scratch depth value; or, if the comparison result is that the actual scratch depth value is greater than the standard scratch depth value, determine that the quality evaluation result is unqualified.

[0111] See also Figure 5 , Figure 5 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 5As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0112] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0113] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0114] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created by the use of a computer device based on the presentation of a small program landing page, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0115] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0116] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0117] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0118] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for determining the standard scratch depth of a helicopter component, characterized in that: The method comprises: Obtain stress field data of helicopter transmission component model under different scratch configuration parameters; Analyzing the stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration; Based on the radius reference value and the depth reference value, multiple groups of scratch defect statistical data are generated, and the statistical data are quantified to obtain a probability density function of an equivalent depth value; An equivalent depth value corresponding to a preset probability is determined according to the probability density function, and the equivalent depth value corresponding to the preset probability is used as a standard scratch depth value.

2. The method according to claim 1, characterized in that The step of obtaining stress field data of a helicopter transmission component model under different scratch configuration parameters includes: Obtaining physical parameters of helicopter transmission components; Establishing a geometric model of the helicopter transmission component according to the physical parameters; Applying different scratch defects to the geometric model to obtain a component model with scratch defects; Numerical simulation is performed on the component model with scratch defects to obtain the stress field data of the component model under different scratch configuration parameters.

3. The method according to claim 1, characterized in that The generating of multiple groups of scratch defect statistics based on the radius reference value and the depth reference value includes: Determining a radius range based on the radius reference value; determining a depth range based on the depth reference value; Within the radius range and the depth range, a plurality of groups of scratch defect statistical data are randomly generated, wherein the statistical data include depth values ​​and radius values ​​of the scratch defects.

4. The method according to claim 1, characterized in that The quantization processing of the statistical data to obtain a probability density function of an equivalent depth value includes: Performing quantization processing on the depth value and radius value of the scratch defect in the statistical data to obtain a corresponding equivalent depth value; Analyze the equivalent depth values ​​to obtain a distribution law of the equivalent depth values; The equivalent depth value is fitted based on the distribution law to obtain the corresponding probability density function.

5. The method according to claim 4, characterized in that The calculation formula for the current quantification process is as follows: Among them, h is the depth value; r is the radius value; h′ is the equivalent depth value; r0 is the radius reference value; h0 is the depth reference value.

6. The method according to claim 1, characterized in that The method further comprises: Detect target components with scratch defects in current helicopter transmission components; Comparing the actual scratch depth value on the target component with the standard scratch depth value to obtain a comparison result; The target component is quality assessed based on the comparison result to obtain a quality assessment result.

7. The method according to claim 6, characterized in that The step of performing quality assessment on the target component based on the comparison result to obtain a quality assessment result includes: If the comparison result is that the actual scratch depth value is less than or equal to the standard scratch depth value, then determining that the quality assessment result is qualified; Alternatively, if the comparison result is that the actual scratch depth value is greater than the standard scratch depth value, the quality assessment result is determined to be unqualified.

8. A device for determining the standard scratch depth of a helicopter component, characterized in that: The device comprises: An acquisition module is used to acquire stress field data of a helicopter transmission component model under different scratch configuration parameters; An analysis module, used for analyzing the stress field data to obtain a radius reference value and a depth reference value of a standard scratch configuration; A generating module, used for generating multiple groups of scratch defect statistical data based on the radius reference value and the depth reference value, and performing equivalent quantization processing on the statistical data to obtain a probability density function of an equivalent depth value; The determination module is used to determine an equivalent depth value corresponding to a preset probability according to the probability density function, and use the equivalent depth value corresponding to the preset probability as a standard scratch depth value.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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