A wheel disc boss simulation piece optimization design method, device, equipment and medium

Abstract

The application discloses a wheel disc boss simulation piece optimization design method, device, equipment and medium, the method comprises the steps that S1, full-size finite element analysis is carried out to real wheel disc, and the characteristic state vector of the region of interest is extracted, including true piece field intensity value, gradient tensor, true piece damage domain;S2, set the simulation piece as a flat boss structure and geometric size, calculate the stress concentration coefficient of the simulation piece of current configuration and geometric size;S3, the current applicable field intensity radius is obtained according to the stress concentration coefficient of the simulation piece;S4, the effective field intensity value of the simulation piece is obtained by field intensity integration according to the current applicable field intensity radius;the damage domain volume coincidence degree is calculated according to the true piece damage domain;S5, the geometric size of the simulation piece is updated, and iteration is repeated until the error of effective field intensity value and damage domain volume coincidence degree reaches the standard, and the final optimized simulation piece model is output.The application improves the confidence and design efficiency of wheel disc boss simulation piece optimization design.

Description

Technical Field

[0001] This application relates to the field of aero-engine technology, and in particular to a method, apparatus, equipment and medium for optimizing the design of a wheel disc boss simulation component. Background Technology

[0002] Key components of aero-engines (such as high-pressure compressor disks and blades) typically have complex geometries and are subjected to complex multiaxial stresses generated by high temperatures and high speeds during service. To assess the fatigue life of these components, it is usually necessary to design simplified characteristic simulations for low-cost testing.

[0003] Existing design methods (such as the traditional stress equivalence method) mainly rely on human experience, repeatedly adjusting the geometric dimensions of the simulated part (such as chamfer radius and hole diameter) to determine the maximum stress or stress concentration factor at its critical points. K t It approximates real components. However, existing technologies have the following significant drawbacks: 1. The size effect of the field strength radius is ignored: Existing academic research has shown that the key parameter of the stress field strength method—the field strength radius R—is not a constant, but varies with the geometric dimensions of the component and the stress concentration factor. However, current engineering design methods have not yet algorithmically incorporated this law. The field strength radius of real large-sized components is often different from that of scaled-down simulation parts. Directly applying a fixed field diameter will lead to deviations in life prediction. 2. Mismatch in Damage Area Morphology: Traditional methods focus only on the scalar stress value of the "critical point," neglecting the overall morphology of the "damage zone" surrounding the critical point. Research by Ma Zhiquan et al. indicates that the damage zone often exhibits an irregular "heart-shaped" or "kidney-shaped" appearance. If the volume or shape of the damage zone in the simulated part differs significantly from that of the real part, even if the maximum stress is the same, the different stress gradient environments may lead to completely different fatigue crack initiation mechanisms. 3. Low design efficiency: Existing iterative methods are "forward trial and error", which are difficult to handle complex situations with multiple coupled parameters. Summary of the Invention

[0004] This application provides an optimized design method for a roulette boss simulation component, which solves the technical problems of low confidence and low design efficiency in existing roulette boss simulation component design methods.

[0005] This application is achieved through the following solution: A method for optimizing the design of a roulette boss simulation component includes the following steps: S1. Perform full-scale finite element analysis on the real roulette wheel and extract the characteristic state vectors of the region of interest, including the field strength value of the real part calculated based on the radius of the material reference field strength, the gradient tensor of the principal stress direction of the real part, and the damage domain of the real part. S2. Set the simulation part as a flat plate boss structure and geometric dimensions. Based on the material standard fatigue test database, calculate the stress concentration factor of the simulation part with the current configuration and geometric dimensions through finite element analysis. S3. Obtain the applicable field radius based on the stress concentration factor of the simulated component; S4. Integrate the field strength of the simulated part based on the currently applicable field strength radius to obtain the effective field strength value of the simulated part; calculate the volume overlap of the damage domain based on the damage domain of the real part. S5. Update the geometry of the simulation component and repeat the iteration until the effective electric field strength value matches the electric field strength value of the real component. When the error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold, the final optimized simulation model of the flat boss structure is output.

[0006] Furthermore, in step S1, the field strength value of the real object... is the peak stress field intensity, is the equivalent field intensity calculated based on the material reference field intensity radius; is the gradient tensor of the principal stress directions of the actual part. Includes gradient components along the principal stress directions, used to characterize the rate of stress decay in three-dimensional space; topological set of the damage domain of the actual component. It is the spatial point set where the equivalent stress exceeds the fatigue limit.

[0007] Furthermore, step S3 specifically includes the following steps: S301. Using a pre-set material field strength radius evolution database, the field strength radius applicable to the current size of the simulation part is obtained in real time by looking up a table. .

[0008] Furthermore, step S3 specifically includes the following steps: S311. Using the fitting function of the pre-set material field strength radius evolution database, interpolate to calculate the field strength radius applicable to the current size of the simulation part. : ; in, For the reference field diameter of the material, The stress concentration factor is... For a relative specified stress gradient, and This is a correction coefficient function based on the fitting of material fatigue test data.

[0009] Furthermore, in step S4, based on the actual damage domain... The calculation of damage domain volume overlap includes the following steps: S41, The damage area of ​​the real part The damage domain Ω of the real part in the simulated part coordinate system is obtained by scaling and mapping to the simulated part coordinate system. real_scaled; S42. Calculate the damage domain of the simulated part with the current configuration and geometry using finite element analysis. ; S43. Using the cross-union ratio algorithm, calculate the damage domain Ω of the simulated component. sim Damage domain Ω of the real part in the simulated part coordinate system real_scaled Volume overlap: .

[0010] Furthermore, in step S5, the effective field strength value Compared with the field strength value of the real object The error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold. Specifically, this means: the effective field strength value Compared with the field strength value of the real object The error is less than 0.5% and the overlap of the damage domain volume is greater than 0.9.

[0011] Furthermore, in step S5, when updating the geometry of the simulation part, the geometry is adjusted by adjusting the geometry of the non-notch region of the simulation part, wherein the geometry of the non-notch region includes the geometry of the transition curve of the clamping segment.

[0012] This application also provides a device for optimizing the design of a roulette boss simulation component, comprising: The Real Roulette Analysis module is used to perform full-scale finite element analysis on a real roulette wheel, extracting feature state vectors of the region of interest, including the field strength values ​​of the real roulette wheel calculated based on the material reference field strength radius. Gradient tensor of principal stress directions of the real part True damage domain ; The stress concentration factor calculation module is used to set the simulation part as a flat plate boss structure and its geometry. Based on the material standard fatigue test database, it calculates the stress concentration factor of the simulation part with the current configuration and geometry through finite element analysis. K t ; The field strength radius calculation module is used to calculate the stress concentration factor of the simulated component. K t Obtain the currently applicable field radius ; The effective field strength value and damage domain volume overlap calculation module is used to calculate the effective field strength value and damage domain volume overlap value based on the currently applicable field strength radius. Integrating the field strength of the simulated object yields its effective field strength value. According to the damage domain of the actual component Calculate the overlap of the damage domain volume; The iterative output module is used to update the geometry of the simulation component, repeating the iteration until the effective field strength value is reached. Compared with the field strength value of the real object When the error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold, the final optimized simulation model of the flat boss structure is output.

[0013] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the aforementioned method for optimizing the design of the wheel boss simulation component.

[0014] This application also provides a computer program product, including a computer program or computer-executable instructions, which, when executed by a processor, implement the aforementioned wheel boss simulation component optimization design method.

[0015] Compared with the prior art, this application can produce the following significant beneficial effects: 1. High-fidelity reproduction of failure mechanism: By introducing the "damage domain topology (IoU)" evaluation index, it is ensured that the simulated part not only has the "maximum stress" like the real part, but also its "stress decay trend" and "damage volume" are like the real part, which greatly improves the confidence of the test results; 2. Solving the size effect problem: The innovative "dynamic field strength radius correction" is embedded in the optimization loop, which eliminates the calculation error of the field strength method caused by the large difference between the size of the sample and the actual part and the different stress concentration factors; 3. Intelligent design: It has achieved a leap from "manual trial and error" to "automatic generation by algorithm", shortening the design cycle from several weeks to several hours.

[0016] In addition to the purposes, features, and advantages described above, this application has other purposes, features, and advantages. A further detailed description of this application will be provided below with reference to the figures. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 This is a schematic flowchart of the optimized design method for the wheel boss simulation component according to a preferred embodiment of this application; Figure 2 This is a schematic diagram of the actual components of the wheel boss; Figure 3 This is a stress distribution cloud diagram of the actual component of the boss; Figure 4 A schematic diagram defining the geometric parameters of the simulated component; Figure 5 The final stress distribution contour map of the simulated component; Figure 6 This is a schematic diagram of the optimization design method for a wheel boss simulation component according to another preferred embodiment of this application; Figure 7 This is a schematic diagram of the module of the wheel boss simulation component optimization design device according to a preferred embodiment of this application; Figure 8 This is a schematic block diagram of an electronic device according to a preferred embodiment of this application; Figure 9 This is a schematic diagram of the internal structure of a computer device according to a preferred embodiment of this application. Detailed Implementation

[0019] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0020] It should be noted that the executing entity in this embodiment can be a computing service system with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or a roulette boss simulation component optimization design device capable of achieving the above functions. The following description uses a roulette boss simulation component optimization design device as the executing entity to illustrate this embodiment and the subsequent embodiments.

[0021] like Figure 1 The preferred embodiment of this application provides a method for optimizing the design of a wheel boss simulation component, including the following steps: S1, For a real roulette wheel (see...) Figure 2 Perform full-scale finite element analysis to extract the characteristic state vectors of the region of interest, including the actual field strength values ​​calculated based on the material reference field strength radius. Gradient tensor of principal stress directions of the real part True damage domain ; S2. Set the simulation part as a flat plate boss structure and its geometry. Based on the material standard fatigue test database, calculate the stress concentration factor of the simulation part with the current configuration and geometry through finite element analysis. K t ; S3. Based on the stress concentration factor of the simulated component K t Obtain the currently applicable field radius ; S4. Based on the currently applicable field strength radius Integrating the field strength of the simulated object yields its effective field strength value. According to the damage domain of the actual component Calculate the overlap of the damage domain volume; S5. Update the geometry of the simulation component and repeat the iteration, i.e., repeat steps S2 to S4, until the effective field strength value is reached. Compared with the field strength value of the real object When the error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold, the final optimized simulation model of the flat boss structure is output.

[0022] This embodiment discloses an optimization design method for a roulette wheel boss simulation component. Based on multidimensional stress gradient mapping and dynamic field strength correction, this method addresses the shortcomings of traditional methods that neglect size effects and damage zone shape matching. It proposes: constructing a feature vector containing the stress gradient tensor and damage domain topology; introducing a dynamic field strength radius correction algorithm based on the stress concentration coefficient during the inverse optimization process to adjust the integral radius in real time to compensate for size scaling errors; and using the volume intersection-over-union (IoU) technique to force the damage zone shape of the simulation component to be highly consistent with that of the real component. This embodiment achieves a leap from "passive trial and error" to "active generation," ensuring that small-sized simulation components can faithfully reproduce the fatigue failure mechanism of a real roulette wheel, significantly improving the accuracy of life prediction.

[0023] Preferably, in step S1, the field strength value of the real object... is the peak stress field intensity, is the equivalent field intensity calculated based on the material reference field intensity radius; is the gradient tensor of the principal stress directions of the actual part. Includes gradient components along the principal stress directions, used to characterize the rate of stress decay in three-dimensional space; topological set of the damage domain of the actual component. It is the spatial point set where the equivalent stress exceeds the fatigue limit.

[0024] Preferably, step S3 specifically includes the following steps: S301. Using a pre-set material field strength radius evolution database, the field strength radius applicable to the current size of the simulation part is obtained in real time by looking up a table. .

[0025] This embodiment utilizes a pre-set material field strength radius evolution database to obtain the field strength radius suitable for the current size of the simulation part in real time, ensuring the accuracy and reliability of the field strength radius.

[0026] Preferably, step S3 specifically includes the following steps: S311. Using the fitting function of the pre-set material field strength radius evolution database, interpolate to calculate the field strength radius applicable to the current size of the simulation part. : ; in, For the reference field diameter of the material, The stress concentration factor is... For a relative specified stress gradient, and This is a correction coefficient function based on the fitting of material fatigue test data.

[0027] In this embodiment, the field strength radius applicable to the current size simulation part is calculated by interpolation using the fitting function of the preset material field strength radius evolution database. This eliminates the need for real-time table lookup to obtain the field strength radius applicable to the current size simulation part, ensuring the accuracy and reliability of the field strength radius while further improving calculation efficiency.

[0028] Preferably, in step S4, based on the damage domain of the actual part... The calculation of damage domain volume overlap includes the following steps: S41, Damage domain of the real part The damage domain Ω of the real part in the simulated part coordinate system is obtained by scaling and mapping to the simulated part coordinate system. real_scaled ; S42. Calculate the damage domain of the simulated part with the current configuration and geometry using finite element analysis. ; S43. Using the cross-union ratio algorithm, calculate the damage domain Ω of the simulated component. sim Damage domain Ω of the real part in the simulated part coordinate system real_scaled Volume overlap: .

[0029] This embodiment is based on the damage domain topology shaping of "intersection over union (IoU)". It introduces shape similarity constraints into the objective function and uses the IoU algorithm to map the damage area of ​​the real component (the area where the stress exceeds the fatigue limit) to the coordinate system of the simulated component according to the geometric scaling ratio, and calculates the ratio of the intersection volume and the union volume of the real component and the current damage area of ​​the simulated component.

[0030] Preferably, in step S5, the effective field strength value Compared with the field strength value of the real object The error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold. Specifically, this means: the effective field strength value Compared with the field strength value of the real object The error is less than 0.5% and the overlap of the damage domain volume is greater than 0.9.

[0031] This embodiment sets the effective field strength value. Compared with the field strength value of the real object The error is less than 0.5% and the overlap of the damage domain volume is greater than 0.9, thus ensuring that the simulated part not only has the "maximum stress value" like the real part, but also its "stress attenuation trend" and "damage volume" are like the real part, which greatly improves the confidence of the test results.

[0032] Preferably, in step S5, when updating the geometry of the simulation part, the geometry is adjusted by adjusting the geometry of the non-notch region of the simulation part, wherein the geometry of the non-notch region includes the geometry of the transition curve of the clamping segment.

[0033] In this embodiment, when updating the geometry of the simulated part, it is preferable to maximize the overlap by adjusting the non-notch area of ​​the simulated part (such as the transition curve of the clamping section), thereby forcing the simulated part to generate a high-stress area consistent with the real part (see...). Figure 5 This further improves the simulation accuracy and confidence level of the experimental results.

[0034] Example: The design of a simulated component for a rotor disc boss of an aero-engine includes the following steps: Step S1: Extraction of real component features: The stress field of the wheel under a certain working condition was calculated using the commercial ANSYS / ABAQUS finite element software (e.g., Figure 3 (As shown).

[0035] Extract the actual field strength value of the focus point of the wheel boss. (Preliminary calculation based on traditional fixed field diameter).

[0036] Extracting the damage domain of the real part That is, 370 MPa The set of all units was observed to have a specific spatial volume distribution.

[0037] Extracting the gradient tensor of the principal stress directions of the real part Post-processing calculations show that the radial stress attenuation rate at this location is 132 MPa / mm, and the axial stress attenuation rate is 75 MPa / mm.

[0038] Step S2: Initialize the design domain and dynamic correction logic: The simulated component is set as a flat boss structure (e.g.) Figure 4 As shown in the figure), the initial geometric dimensions are shown in Table 1 below. Table 1. Geometric dimensions of the simulated feature (unit: mm)

[0039] Meanwhile, based on the material standard fatigue test database, in each round of geometric topology optimization iteration, the nominal stress concentration factor is calculated through finite element analysis, and the field strength radius corresponding to the current configuration is calculated by interpolation. To ensure that when the size of the simulated part changes, When changes occur, the integral radius is automatically adjusted to compensate for physical errors caused by size effects.

[0040] Step S3, Reverse Topology Optimization: The system runs a reverse optimization algorithm and enters an automated iterative loop: Nth iteration: The algorithm fine-tunes the boss tilt angle and transition fillet radius of the simulated part; Parameter calculation: Based on the stress concentration factor of the current configuration. Substituting the above correction function, the applicable field radius is calculated. ; Field strength calculation: Using dynamically changing... Integrating the field strength of the simulated object yields its effective field strength value. ; Topological comparison: Damage domain of the real component The damage domain volume overlap (IoU) is calculated by scaling the model coordinate system proportionally. Convergence: After multiple iterations, the IoU increased to greater than 0.9, and the field strength error remained within 0.5%.

[0041] Step S4: Output the final optimized simulation model of the flat plate boss structure: Output the final optimized model of the boss feature simulation part.

[0042] like Figure 6 As shown, another preferred embodiment of this application provides an optimization design method for a roulette boss simulation component. This method constructs a "multi-dimensional field strength feature vector" and introduces a "dynamic field strength radius correction mechanism". It uses a topology optimization algorithm to directly inversely calculate the optimal simulation component configuration, ensuring that the simulation component is highly faithful to the real component in terms of microscopic damage mechanism.

[0043] Preferably, such as Figure 7 As shown, another preferred embodiment of this application also provides a device for optimizing the design of a wheel boss simulation component, comprising: The Real Roulette Analysis module is used to perform full-scale finite element analysis on a real roulette wheel, extracting feature state vectors of the region of interest, including the field strength values ​​of the real roulette wheel calculated based on the material reference field strength radius. Gradient tensor of principal stress directions of the real part True damage domain ; The stress concentration factor calculation module is used to set the simulation part as a flat plate boss structure and its geometry. Based on the material standard fatigue test database, it calculates the stress concentration factor of the simulation part with the current configuration and geometry through finite element analysis. K t ; The field strength radius calculation module is used to calculate the stress concentration factor of the simulated component. K t Obtain the currently applicable field radius ; The effective field strength value and damage domain volume overlap calculation module is used to calculate the effective field strength value and damage domain volume overlap value based on the currently applicable field strength radius. Integrating the field strength of the simulated object yields its effective field strength value. According to the damage domain of the actual component Calculate the overlap of the damage domain volume; The iterative output module is used to update the geometry of the simulation component, repeating the iteration until the effective field strength value is reached. Compared with the field strength value of the real object When the error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold, the final optimized simulation model of the flat boss structure is output.

[0044] The roulette wheel boss simulation design optimization device provided in this embodiment adopts the roulette wheel boss simulation design optimization method in the above embodiments, solving the technical problems of low confidence and low design efficiency in existing roulette wheel boss simulation design methods. Compared with the prior art, the beneficial effects of the roulette wheel boss simulation design optimization device provided in this embodiment are the same as those of the roulette wheel boss simulation design optimization method provided in the above embodiments, and other technical features in the roulette wheel boss simulation design optimization device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0045] like Figure 8 As shown, a preferred embodiment of this embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the wheel boss simulation component optimization design method in the above embodiment.

[0046] This embodiment provides an electronic device that uses the wheel boss simulation component optimization design method in the above embodiment to solve the technical problems of low confidence and low design efficiency in existing wheel boss simulation component design methods. Compared with the prior art, the beneficial effects of the electronic device provided in this embodiment are the same as those of the wheel boss simulation component optimization design method provided in the above embodiment, and other technical features in the electronic device are the same as those disclosed in the method of the above embodiment, which will not be repeated here.

[0047] like Figure 9 As shown in the preferred embodiment, this embodiment also provides a computer device, which may be a terminal or a liveness detection server, and its internal structure diagram may be as follows. Figure 9As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The network interface is used to communicate with other external computer devices via a network connection. When the computer program is executed by the processor, it implements the steps of the aforementioned optimized design method for the roulette wheel boss simulation component.

[0048] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the solution of this embodiment, and does not constitute a limitation on the computer device to which the solution of this embodiment is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0049] The computer device provided in this application adopts the wheel boss simulation component optimization design method in the above embodiments, which solves the technical problems of low confidence and low design efficiency of existing wheel boss simulation component design methods. Compared with the prior art, the beneficial effects of the computer device provided in this embodiment are the same as the beneficial effects of the wheel boss simulation component optimization design method provided in the above embodiments, and other technical features in the electronic device are the same as the features disclosed in the above embodiments, which will not be repeated here.

[0050] A preferred embodiment of this example also provides a storage medium, which includes a stored program that, when the program is executed, controls the device where the storage medium is located to perform the steps of the wheel boss simulation component optimization design method in the above embodiment.

[0051] It should be noted that the steps shown in the flowchart in 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 may be executed in a different order than that shown here.

[0052] If the functions described in this embodiment are implemented as software functional units and sold or used as independent products, they can be stored in one or more computing device-readable storage media. Based on this understanding, the parts of this embodiment that contribute to the prior art or the technical solution can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computing device (which may be a personal computer, server, mobile computing device, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this embodiment. The aforementioned storage media include: USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0053] Those skilled in the art will understand that the embodiments of this example can be provided as methods, systems, or computer program products. Therefore, this example can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this example can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code. The solutions in this example can be implemented using various computer languages, such as the object-oriented programming language C++ and the embedded programming language C.

[0054] This embodiment is described with reference to flowchart illustrations and / or block diagrams of the method, apparatus (system), and computer program product according to this embodiment. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0055] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0056] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0057] This embodiment also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described roulette boss simulation component optimization design method.

[0058] The computer program product provided in this embodiment solves the technical problems of low confidence and low design efficiency in existing wheel boss simulation design methods. Compared with the prior art, the beneficial effects of the computer program product provided in this embodiment are the same as those of the wheel boss simulation optimization design method provided in the above embodiments, and will not be repeated here.

[0059] Obviously, those skilled in the art can make various modifications and variations to this embodiment without departing from the spirit and scope of this embodiment. Therefore, if these modifications and variations of this embodiment fall within the scope of the claims of this embodiment and their equivalents, this embodiment is also intended to include these modifications and variations.

Claims

1. A method for optimizing the design of a wheel boss simulation component, characterized in that, Including the following steps: S1. Perform full-scale finite element analysis on the real roulette wheel and extract the characteristic state vectors of the region of interest, including the field strength value of the real part calculated based on the radius of the material reference field strength, the gradient tensor of the principal stress direction of the real part, and the damage domain of the real part. S2. Set the simulation part as a flat plate boss structure and geometric dimensions. Based on the material standard fatigue test database, calculate the stress concentration factor of the simulation part with the current configuration and geometric dimensions through finite element analysis. S3. Obtain the applicable field radius based on the stress concentration factor of the simulated component, specifically including one of the following steps: S301. Using a pre-set material field strength radius evolution database, the field strength radius applicable to the current size of the simulation part is obtained in real time by looking up a table. ; S311. Using the fitting function of the pre-set material field strength radius evolution database, interpolate to calculate the field strength radius applicable to the current size of the simulation part. : ； in, For the reference field diameter of the material, The stress concentration factor is... For a relative specified stress gradient, and This is a correction coefficient function fitted based on material fatigue test data; S4. Integrate the field strength of the simulated component based on the currently applicable field strength radius to obtain the effective field strength value of the simulated component. Then, based on the damage domain of the actual component... The calculation of damage domain volume overlap includes the following steps: S41, The damage area of ​​the real part The damage domain Ω of the real part in the simulated part coordinate system is obtained by scaling and mapping to the simulated part coordinate system. real_scaled ; S42. Calculate the damage domain of the simulated part with the current configuration and geometry using finite element analysis. ; S43. Using the cross-union ratio algorithm, calculate the damage domain Ω of the simulated component. sim Damage domain Ω of the real part in the simulated part coordinate system real_scaled Volume overlap: ； S5. Update the geometric dimensions of the simulated part and repeat the iteration until the error between the effective field strength value and the field strength value of the real part is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold. Then, output the final optimized simulated part model of the flat plate boss structure.

2. The method for optimizing the design of the wheel boss simulation component according to claim 1, characterized in that, In step S1, the field strength value of the real part is the peak value of the stress field strength, which is the equivalent field strength value calculated based on the material reference field strength radius; the gradient tensor of the principal stress direction of the real part includes the gradient component of the principal stress direction, which is used to characterize the rate of stress decay in the three-dimensional spatial direction. The topological set of the damage domain of a real component is the set of spatial points where the equivalent stress exceeds the fatigue limit.

3. The method for optimizing the design of a wheel boss simulation component according to claim 1, characterized in that, In step S5, the effective field strength value Compared with the field strength value of the real object The error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold. Specifically, this means: the effective field strength value Compared with the field strength value of the real object The error is less than 0.5% and the overlap of the damage domain volume is greater than 0.

9.

4. The method for optimizing the design of the wheel boss simulation component according to claim 1, characterized in that, In step S5, when updating the geometry of the simulation part, the geometry of the non-notch region of the simulation part is adjusted, including the geometry of the transition curve of the clamping segment.

5. A device for optimizing the design of a wheel boss simulation component, used to implement the method as described in any one of claims 1 to 4, characterized in that, include: The Real Roulette Analysis module is used to perform full-scale finite element analysis on a real roulette wheel, extracting feature state vectors of the region of interest, including the field strength values ​​of the real roulette wheel calculated based on the material reference field strength radius. Gradient tensor of principal stress directions of the real part True damage domain ; The stress concentration factor calculation module is used to set the simulation part as a flat plate boss structure and its geometry. Based on the material standard fatigue test database, it calculates the stress concentration factor of the simulation part with the current configuration and geometry through finite element analysis. K t ; The field strength radius calculation module is used to calculate the stress concentration factor of the simulated component. K t Obtain the currently applicable field radius ; The effective field strength value and damage domain volume overlap calculation module is used to calculate the effective field strength value and damage domain volume overlap value based on the currently applicable field strength radius. Integrating the field strength of the simulated object yields its effective field strength value. ; Based on the damage domain of the actual component Calculate the overlap of the damage domain volume; The iterative output module is used to update the geometry of the simulation component, repeating the iteration until the effective field strength value is reached. Compared with the field strength value of the real object When the error is less than the set threshold and the overlap of the damage domain volume is greater than the set threshold, the final optimized simulation model of the flat plate boss structure is output.

6. An electronic device, the electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, when the processor executes the computer program, it implements the roulette boss simulation component optimization design method as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the roulette boss simulation component optimization design method as described in any one of claims 1 to 4.

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