Intelligent Design Method for Surface Strengthening Process of Transmission System Based on Gear Load-Carrying Capacity Evaluation

Abstract

The present invention provides an intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity, including: performing a surface strengthening process on the gear to obtain gear surface strengthening process parameters; measuring the surface integrity parameters of the gear to obtain the relationship between the gear surface strengthening process parameters and the surface integrity parameters; performing a gear load-carrying capacity test on the gear after the surface strengthening process to obtain the relationship between the predicted value of the surface integrity parameters and the gear load-carrying capacity; obtaining the performance of the transmission system under different surface strengthening processes; based on the measured gear load-carrying capacity and the performance of the transmission system, obtaining the importance of the gear load-carrying capacity to the performance of the transmission system; based on the importance, obtaining the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system, and completing the intelligent design of the surface strengthening process of the transmission system based on the evaluation of gear load-carrying capacity. The present invention can achieve the integration of design and manufacturing of processing parameters - transmission system performance.

Description

Technical Field

[0001] The present invention belongs to the technical field of machining and surface treatment, and particularly relates to an intelligent design method for the surface strengthening process of a transmission system based on the evaluation of the load-carrying capacity of gears. Background Art

[0002] Gears are important basic industrial components, and their service performance directly determines the service performance of high-end equipment represented by aero-engines. With the development of the new generation of high-end equipment towards extreme service environments such as high speed, heavy load, and high temperature, the design of the gear transmission system usually takes meeting comprehensive performance indicators as the first requirement. However, because the application targets of gears in different equipment are different, the requirements for working conditions, load-carrying capacity, anti-fatigue performance, dynamic characteristics, etc. also show diversification. Therefore, the design and manufacturing should be carried out in a coordinated and synchronous manner. However, in the existing gear processing design and manufacturing process, there is isolation, which makes the performance of the entire gear product unable to be further improved. The synergistic effect between the design and manufacturing links cannot be fully exerted, resulting in the performance of the gears after processing and manufacturing being difficult to meet the high-performance requirements of the design.

[0003] There is an obvious disconnection phenomenon in the design and manufacturing of the existing high-end equipment gear transmission system. At the design end, the design, strength check, and selection of processing methods of the transmission system are usually carried out according to experience or design manuals, and it is temporarily impossible to consider the processing process parameters and effects, resulting in the inability to achieve coordination between design and manufacturing; while at the processing end, usually according to the rough requirements given by the design end, it is impossible to further clarify the processing process parameters, processing steps, etc. The selection of the vast majority of key processing parameters is based on processing experience and relevant processing manuals, and it is impossible to further give corresponding parameters through design, resulting in the phenomenon that the processing quality often fails to meet the design requirements, or the parameters given by the design cannot be actually processed. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides an intelligent design method for the surface strengthening process of a transmission system based on the evaluation of the load-carrying capacity of gears, breaking through the gap between process parameters and design performance evaluation, and forming an integrated coordination of design and manufacturing.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] An intelligent design method for the surface strengthening process of a transmission system based on the evaluation of the load-carrying capacity of gears, comprising the following steps:

[0007] Perform surface strengthening process treatment on the gear to obtain gear surface strengthening process parameters;

[0008] Measure the surface integrity parameters of the gear after the surface strengthening process treatment to obtain the relationship between the gear surface strengthening process parameters and the surface integrity parameters;

[0009] Based on the relationship between the gear surface strengthening process parameters and the surface integrity parameters, the predicted values of the surface integrity parameters under different gear surface strengthening processes are obtained;

[0010] The gear load-carrying capacity test is carried out on the gear after the surface strengthening process, and based on the data-driven method, the relationship between the predicted value of the surface integrity parameter and the gear load-carrying capacity is obtained;

[0011] Based on the relationship between the predicted value of the surface integrity parameter and the gear load-carrying capacity, the predicted values of the gear load-carrying capacity under different gear surface strengthening processes are obtained;

[0012] Based on the measured gear load-carrying capacity and the working conditions requirements of the gear transmission system, the structural parameters of the entire gear transmission system are designed to obtain the performance of the transmission system under different surface strengthening processes;

[0013] Based on the measured gear load-carrying capacity under different surface strengthening process states and the performance of the transmission system, the importance of the gear load-carrying capacity to the transmission system performance is obtained;

[0014] Based on the importance, the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system is obtained, and the intelligent design of the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation is completed.

[0015] Preferably, the surface strengthening process treatment sequentially includes carburizing and quenching grinding treatment, single shot peening treatment with different shot peening intensities, shot peening coverage rates, and shot diameters, and secondary shot peening treatment with different shot peening passes, shot peening intensities, shot peening coverage rates, and shot diameters.

[0016] Preferably, the surface integrity parameters of the gear include the gear surface residual compressive stress, the gear surface roughness, and the gear surface hardness gradient.

[0017] Preferably, the gear load-carrying capacity test includes testing the contact fatigue strength, bending fatigue strength, and scuffing limit temperature of the gear after the surface strengthening process.

[0018] Preferably, the method for obtaining the relationship between the predicted value of the surface integrity parameter and the gear load-carrying capacity is as follows:

[0019] Based on the gear surface roughness and the gear surface hardness gradient, the gear contact fatigue strength is obtained;

[0020] Based on the gear surface hardness gradient and the gear surface residual compressive stress value, the gear bending fatigue strength is obtained;

[0021] Based on the gear surface hardness gradient, the gear surface roughness, and the gear surface aspect ratio, the gear scuffing limit temperature is obtained.

[0022] Preferably, the method for obtaining the importance of the gear load-carrying capacity to the performance of the transmission system is as follows:

[0023] Based on different surface strengthening process treatments performed on the gear, different safety performance indicators are obtained;

[0024] Based on the different safety performance indicators, using the SHAP machine learning model interpretation method, the importance of the contact fatigue strength, bending fatigue strength, and scuffing limit temperature of the gear to the comprehensive safety performance of the transmission system is obtained.

[0025] Preferably, the comprehensive safety performance of the transmission system includes the reliability and weight of the gear under different surface strengthening process states.

[0026] Preferably, the method for obtaining the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system is as follows:

[0027] Based on the importance of the contact fatigue strength, bending fatigue strength, and scuffing limit temperature to the comprehensive safety performance of the transmission system, polynomial regression analysis is performed using the least squares method to fit the comprehensive safety performance of the transmission system under different gear load-carrying capacities, and the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system is obtained.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: A bridge for directly evaluating from the gear load-carrying capacity to the performance of the transmission system is constructed, forming an active evaluation formula of "surface strengthening process parameters - surface integrity - gear load-carrying capacity - transmission system performance", breaking through the gap between process parameters and design performance evaluation, and forming an integrated collaboration of design and manufacturing. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0030] Figure 1 It is a flowchart of an intelligent design method for the surface strengthening process of a transmission system based on gear load-carrying capacity evaluation according to an embodiment of the present invention;

[0031] Figure 2 It is a gear bending, contact, and scuffing load-carrying capacity test according to an embodiment of the present invention;

[0032] Figure 3 It is a comparison of safety after carburizing and grinding, shot peening, and secondary shot peening treatments according to an embodiment of the present invention;

[0033] Figure 4For the embodiments of the present invention, the importance degrees of gear load-carrying capacities such as contact fatigue limit, bending fatigue limit, and scuffing limit temperature to safety performance

[0034] Figure 5 The comparison effect between the comprehensive safety factor calculated in the embodiments of the present invention and the actual safety factor is shown in the figure. Specific embodiments

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0037] Embodiment 1

[0038] As Figure 1 shown, for the intelligent design method of the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation, in this embodiment, taking the shot peening strengthening and secondary shot peening treatment of 16Cr3NiWMoVNbE aviation gears as an example, and taking the gear transmission system of the 230kW-class turbofan engine accessory gearbox as the design object, an intelligent design method of the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation is formed, which specifically includes the following steps:

[0039] S1: Perform surface strengthening process treatment on the gear to obtain gear surface strengthening process parameters; a further implementation manner is that the surface strengthening process treatment sequentially includes carburizing and quenching grinding treatment, single-shot peening treatment with different shot peening intensities, shot peening coverage rates, and shot diameters, and secondary shot peening treatment with different shot peening passes, shot peening intensities, shot peening coverage rates, and shot diameters.

[0040] S2: Measure the surface integrity parameters of the gear after the surface strengthening process treatment to obtain the relationship between the gear surface strengthening process parameters and the surface integrity parameters; based on the relationship between the gear surface strengthening process parameters and the surface integrity parameters, obtain the predicted values of the surface integrity parameters under different gear surface strengthening processes; a further implementation manner is that the surface integrity parameters of the gear include gear surface residual compressive stress, gear surface roughness, and gear surface hardness gradient.

[0041] Specifically, the relationship between the gear surface strengthening process parameters and the surface integrity parameters is as follows:

[0042] Calculation formulas between single-shot peening process parameters and surface integrity:

[0043] I: represents the peening intensity, unit: mmA;

[0044] C: represents the peening coverage, unit: %;

[0045] D: represents the shot diameter, unit: mm;

[0046] Surface hardness: SH = 54.11×I + 0.0201×C + 23.83×D + 733.5

[0047] Surface residual compressive stress: SR = 435.6×I - 0.53872×C + 110.2×D - 1017.2

[0048] Maximum residual compressive stress: MR = -485.2×I - 8.385×e -6 ×C 2 -6.149×D 2.68 -1179

[0049] Surface roughness parameter Sa: Sa = 0.4247×I + 1.964×10 -5 ×C + 0.1232×D + 0.2993

[0050] Gear surface aspect ratio Str: Str = 0.4778×I + 2×104×C + 0.076×D + 0.6534.

[0051] Among them, the gear surface aspect ratio belongs to the surface roughness parameter.

[0052] Calculation formulas between double-shot peening process parameters and surface integrity:

[0053] Surface hardness: SH = 28.41×(I1 + I2) + 0.0106×(C1 + C2) + 12.51×(D1 + D2) + 770.2

[0054] Surface residual compressive stress: SR = 252.65×(I1 + I2) - 0.3124×(C1 + C2) + 63.92×(D1 + D2) - 1180

[0055] Maximum residual compressive stress:

[0056] R = -271.7×(I1 + I2) - 4.69×e -6 ×(C1 2 +C2 2 ) - 3.44×(D1 2.68 +D2 2.68 ) - 1320

[0057] Surface roughness parameter Sa:

[0058] Sa = 0.1699×(I1 + I2) + 7.856×10 -9 ×(C1 + C2) + 0.04928×(D1 + D2) + 0.2394

[0059] Surface roughness parameter Str:

[0060] Str = 0.2532×(I1 + I2) + 1.06×10 -6 ×(C1 + C2) + 0.04028×(D1 + D2) + 0.6926

[0061] S3: Conduct a gear load-carrying capacity test on the gear after surface strengthening treatment, and based on the data-driven method, obtain the relationship between the predicted values of surface integrity parameters and the gear load-carrying capacity; based on the relationship between the predicted values of surface integrity parameters and the gear load-carrying capacity, obtain the predicted values of the gear load-carrying capacity under different gear surface strengthening processes. A further implementation manner is that the gear load-carrying capacity test includes testing the contact fatigue strength, bending fatigue strength, and scuffing limit temperature of the gear after surface strengthening treatment.

[0062] In this embodiment, a pulsating cyclic loading testing machine is used to test the bending fatigue strength of a gear with a module of 3 and 24 teeth after carburizing and grinding, shot peening, and secondary shot peening treatment. A Strama gear contact fatigue testing machine is used to test the gear contact fatigue limit of a gear pair with a large gear of 4.5 modules and 28 teeth and a small gear of 4.5 modules and 27 teeth. A standard FZG gear testing machine is used to test the scuffing limit temperature of a gear pair with a large gear of 4.5 modules and 24 teeth and a small gear of 4.5 modules and 16 teeth, as Figure 2 shown, so as to obtain the gear contact fatigue limit (strength), bending fatigue limit, and scuffing limit temperature of the carburizing and grinding state, shot peening state, and secondary shot peening strengthening treatment state.

[0063] Specifically, in this embodiment, the gear contact fatigue strength limit, bending fatigue strength limit, and scuffing limit temperature measured in the carburizing and grinding state, shot peening state, and secondary shot peening strengthening state, and the gear surface integrity parameters measured in these three process states are shown in Table 1.

[0064] Table 1

[0065]

[0066] By using the data-driven method in the prior art "Research on the Relationship between Surface Integrity and Contact Fatigue of Carburized Gears", the calculation relationship between the predicted values of the surface integrity parameters of the 16Cr3NiWMoVNbE gears in this embodiment and the gear load-carrying capacity is obtained.

[0067] A further implementation manner is that the method for obtaining the relationship between the predicted values of the surface integrity parameters and the gear load-carrying capacity is as follows:

[0068] Based on the gear surface roughness and the gear surface hardness gradient, the gear contact fatigue strength is obtained;

[0069] Specifically:

[0070] σ Hlim = 455.745 × Sa -0.105 + 1.868 × SH + 164.614 × e -0.0003MR - 257.833

[0071] Based on the gear surface hardness gradient and the gear surface residual compressive stress value, the gear bending fatigue strength is obtained; specifically, σ Flim = 0.809 × SH - 0.049 × SR + 28.95

[0072] Based on the gear surface hardness gradient, the gear surface roughness, and the gear surface aspect ratio, the gear scuffing limit temperature is obtained. Specifically, T Sint = 0.430 × SH + 9.9 × Sa - 60.969 × Str

[0073] Wherein, σ Hlim is the gear contact fatigue strength; σ Flim is the gear bending fatigue strength; T Sint is the gear scuffing limit temperature; Sa is the gear surface roughness; SH represents the gear surface hardness gradient (gear surface microhardness); MR is the maximum residual compressive stress value of the gear subsurface layer; SR is the gear surface residual compressive stress value; Str represents the gear surface aspect ratio.

[0074] S4: Based on the measured gear load-carrying capacity and the operating conditions requirements of the gear transmission system, the structural parameters of the entire gear transmission system are designed to obtain the performance of the transmission system under different surface strengthening processes; A further implementation manner is that the comprehensive safety performance of the transmission system includes the gear reliability and weight under different surface strengthening process states.

[0075] This embodiment takes the accessory gearbox of a 230kW-class turbofan engine as the research object. According to the working conditions and design parameter requirements of aeroengine gear transmission, the structural parameters of the entire gear transmission system are designed for the gear transmission system after carburizing grinding, shot peening, and secondary shot peening. The transmission gears of the aeroengine accessory gearbox are all designed with involute cylindrical gears. The preliminary design and strength check of the gear geometric structure parameters are carried out according to the design requirements such as transmission ratio and gear center distance. The pressure angle of the aviation involute cylindrical spur gears involved in this embodiment is all selected as 25°, the gear module is selected as 2.5mm, and the tooth width is calculated according to the strength after different process treatments, so as to determine the safety performance of the gear set in its transmission system.

[0076] Taking the calculation of its safety performance as an example, this embodiment evaluates the safety performance by using the comprehensive safety factor method.

[0077] Evaluation process of the comprehensive safety factor method:

[0078]

[0079] Among them, S I represents the comprehensive safety factor;

[0080] w i represents the evaluation weights of the safety factor by various methods. This invention mainly adopts entropy evaluation weight, fuzzy comprehensive evaluation weight, CRITIC weight, independence weight, and information quantity weight; s i represents the minimum contact, bending, and scuffing safety factors in the gear transmission system.

[0081] The distribution of the influence weights of the minimum contact, bending, and scuffing safety factors calculated by 5 methods such as the entropy evaluation method is shown in Table 2. It can be found that the weights of the contact, bending, and scuffing safety factors obtained by the entropy evaluation weight method are 0.1612, 0.716, and 0.1228 respectively, and the weight of the bending safety factor accounts for the largest proportion; in addition, the safety factor weights calculated by the fuzzy comprehensive evaluation weight, CRITIC weight, and information quantity weight methods are all larger than the contact and scuffing safety factor weights. And the weight of the scuffing safety factor calculated by the independence weight method is the largest, reaching 0.4655; while the weights of the contact safety factor and the bending safety factor are almost the same, which are 0.2675 and 0.267 respectively. The comprehensive safety evaluation weights of the minimum contact, bending, and scuffing safety factors calculated by 5 methods such as the entropy evaluation weight, fuzzy comprehensive evaluation weight, CRITIC weight, independence weight, and information quantity weight are 0.1723, 0.62072, and 0.20698 respectively. The safety factors of contact, bending, and scuffing can be comprehensively evaluated through this weight coefficient, providing a method for efficiently evaluating the safety performance of the aeroengine transmission system.

[0082] Table 2

[0083]

[0084]

[0085] The comprehensive safety factors of the gear transmission system after shot peening strengthening and secondary shot peening treatment are increased by 3.23% and 21.68% respectively compared with the carburizing and grinding state, as Figure 3 shown. The effect of secondary shot peening on improving the comprehensive safety performance is more obvious. Therefore, the reliability of the gear transmission system can be improved through secondary shot peening strengthening treatment, and the human-machine safety of aero-engines and pilots can be enhanced.

[0086] S5: Based on the measured gear load-carrying capacity and the performance of the transmission system under different surface strengthening process states, obtain the importance of the gear load-carrying capacity to the performance of the transmission system;

[0087] A further implementation manner lies in that the method for obtaining the importance of the gear load-carrying capacity to the performance of the transmission system is:

[0088] Based on different surface strengthening process treatments on the gear, obtain different safety performance indicators;

[0089] Based on different safety performance indicators, adopt the SHAP machine learning model interpretation method to obtain the importance of the contact fatigue strength, bending fatigue strength, and scuffing limit temperature of the gear to the comprehensive safety performance of the transmission system.

[0090] SHAP machine learning model interpretation method:

[0091] The SHapley Additive exPlanations (SHAP) model interpretation method adopted in the present invention is widely used to interpret various machine learning and deep learning models. Its basic idea is to achieve the purpose of interpreting various black-box models by calculating the marginal contribution when each feature is added to the model, so as to realize the influence weights of different parameters. The calculation of SHAP values is as follows:

[0092]

[0093] In the formula, is the predicted value of the model for the i-th sample; y base is the average predicted value of all samples; m is the number of input features of the i-th sample; x ij is the j-th input feature of the i-th sample; f(x ij ) is the SHAP value of the sample feature x ij . When f(x ij) When it is greater than 0, this feature has a positive impact on the model evaluation result. On the contrary, it means that this feature has a negative impact on the model evaluation result. By obtaining the SHAP values of all features of n samples, the importance of m features is calculated respectively. The formula for calculating the importance of feature j is:

[0094]

[0095] where I(x j ) is the influence weight on a certain feature parameter.

[0096] In this embodiment, different safety performance indexes are obtained based on strengthening processes such as carburizing grinding, shot peening, and secondary shot peening of a typical 230kW-class accessory casing. The SHAP machine learning model interpretation method is used to evaluate the importance of the load-carrying capacity of aviation gears. Through the SHAP model interpretation method, the minimum safety factor of the aero-engine transmission system is evaluated for different contact, bending, and scuffing load-carrying capacity data, so as to conduct active design to improve the safety of the aero-engine transmission system.

[0097] Based on the SHAP machine learning model, the importance of the gear contact fatigue limit, bending fatigue limit, and scuffing limit temperature to the comprehensive safety performance of the gear transmission system is 36.73%, 32.65%, and 30.62% respectively, as Figure 4 shown. It can be found that the importance of contact, bending, and scuffing to the gear safety performance is almost the same. Therefore, when designing the transmission system, it is necessary to comprehensively consider its corresponding safety performance to ensure the stable and reliable operation of the transmission system.

[0098] S6: Based on the importance, obtain the relationship between the gear load-carrying capacity prediction value and the transmission system performance, and complete the intelligent design of the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation.

[0099] A further implementation method is that the method for obtaining the relationship between the gear load-carrying capacity prediction value and the transmission system performance is:

[0100] Based on the importance of the contact fatigue strength, bending fatigue strength, and scuffing limit temperature to the comprehensive safety performance of the transmission system, polynomial regression analysis is performed using the least squares method to fit the comprehensive safety performance of the transmission system under different gear load-carrying capacities, and the relationship between the gear load-carrying capacity prediction value and the transmission system performance is obtained.

[0101] In this embodiment, polynomial regression analysis is performed using the least squares method to fit the formula of the comprehensive performance of the aero-engine transmission system. By corresponding the gear load-carrying capacity data under different process states with the comprehensive safety factor for evaluation, the comprehensive safety factor under different gear load-carrying capacities is obtained.

[0102] The expression of the comprehensive safety factor obtained by the least squares method in this embodiment is as follows. It can be found that it has a linear relationship with the contact fatigue limit, bending fatigue strength limit, scuffing limit temperature, etc. of the gear.

[0103] S I = 0.00639×σ Hlim - 0.00682×σ Flim + 0.00607×T Sint - 5.833

[0104] Wherein, S I represents the comprehensive safety performance of the transmission system, σ Hlim gear contact fatigue limit; σ Flim gear contact fatigue limit; T Sint gear scuffing limit temperature. The comparison effect between the comprehensive safety factor calculated by this expression and the actual safety factor is as Figure 5 shown. It can be found that the prediction error is 1% in the case of carburizing and grinding, 1.68% in the case of shot peening, and 1.20% in the case of secondary shot peening. The maximum prediction error can be controlled within 1.7%, indicating the prediction accuracy of the formula.

[0105] By directly inputting the shot peening or secondary shot peening process parameters, the comprehensive safety performance of the aero-engine gear transmission system can be obtained, providing the safety performance for the design of the processing parameters; or by specifying the comprehensive safety factor, the optimal process parameter combination can be obtained, providing the processing parameters for the design performance; through this method, the integration of processing parameter - transmission system performance design - manufacturing can be realized.

[0106] The embodiments described above are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. An intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity, characterized in that Including the following steps: Perform surface strengthening process treatment on the gear to obtain gear surface strengthening process parameters; Measure the surface integrity parameters of the gear after surface strengthening process treatment to obtain the relationship between the gear surface strengthening process parameters and the surface integrity parameters; Based on the relationship between the gear surface strengthening process parameters and the surface integrity parameters, obtain the predicted values of the surface integrity parameters under different gear surface strengthening processes; Conduct gear load-carrying capacity tests on the gears after surface strengthening process treatment, and based on the data-driven method, obtain the relationship between the predicted values of the surface integrity parameters and the gear load-carrying capacity; Based on the relationship between the predicted values of the surface integrity parameters and the gear load-carrying capacity, obtain the predicted values of the gear load-carrying capacity under different gear surface strengthening processes; Based on the measured gear load-carrying capacity and the operating conditions requirements of the gear transmission system, design the structural parameters of the entire gear transmission system to obtain the performance of the transmission system under different surface strengthening processes; Based on the measured gear load-carrying capacity under different surface strengthening process states and the performance of the transmission system, obtain the importance of the gear load-carrying capacity to the transmission system performance; Based on the importance, obtain the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system, and complete the intelligent design of the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation.

2. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 1, characterized in that, The surface strengthening process treatment sequentially includes carburizing and quenching grinding treatment, single shot peening treatment with different shot peening intensities, shot peening coverage rates, and shot diameters, and secondary shot peening treatment with different shot peening passes, shot peening intensities, shot peening coverage rates, and shot diameters.

3. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 1, characterized in that, The surface integrity parameters of the gear include gear surface residual compressive stress, gear surface roughness, and gear surface hardness gradient.

4. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 1, wherein The gear load-carrying capacity test includes testing the contact fatigue strength, bending fatigue strength, and scuffing limit temperature of the gears after surface strengthening process treatment.

5. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 4, characterized in that The method for obtaining the relationship between the predicted value of the surface integrity parameter and the gear load-carrying capacity is: Based on the gear surface roughness and the gear surface hardness gradient, obtain the gear contact fatigue strength; Based on the gear surface hardness gradient and the gear surface residual compressive stress value, obtain the gear bending fatigue strength; Based on the gear surface hardness gradient, gear surface roughness, and gear surface aspect ratio, obtain the gear scuffing limit temperature.

6. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 5, characterized in that The method for obtaining the importance of the gear load-carrying capacity to the transmission system performance is: Based on different surface strengthening process treatments performed on the gear, obtain different safety performance indicators; Based on the different safety performance indicators, use the SHAP machine learning model interpretation method to obtain the importance of the gear contact fatigue strength, bending fatigue strength, and scuffing limit temperature to the comprehensive safety performance of the transmission system.

7. The intelligent design method for the surface strengthening process of the transmission system based on the gear load-carrying capacity evaluation according to claim 6, characterized in that The comprehensive safety performance of the transmission system includes the gear reliability and weight under different surface strengthening process states.

8. The intelligent design method for the surface strengthening process of a transmission system based on the evaluation of gear load-carrying capacity according to claim 1, characterized in that The method for obtaining the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system is: Based on the importance of contact fatigue strength, bending fatigue strength, and scuffing limit temperature to the comprehensive safety performance of the transmission system, polynomial regression analysis is carried out using the least squares method to fit the comprehensive safety performance of the transmission system under different gear load-carrying capacities, and the relationship between the predicted value of the gear load-carrying capacity and the performance of the transmission system is obtained.

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