Cylindrical roller bearing retainer split claw locking amount design method and system

Abstract

The invention discloses a method and a system for designing the locking amount of a split claw of a cylindrical roller bearing retainer, and aims to solve the problems that the design of the locking amount of the split claw of the cylindrical roller bearing retainer does not consider part machining errors and a springback effect after a lock claw split pressing process and cannot adapt to a combination scheme of different split claw structure parameters. The problem that the cylindrical roller bearing is scrapped due to the fact that a rolling body interferes with an inner ring and falls off in the assembling process is solved. According to the method, after the maximum boundary and the minimum boundary of the locking amount before silver plating of the cylindrical roller bearing retainer locking claw are calculated, a dimension corresponding relation data set of different retainer splitting claw thicknesses, splitting claw lengths and the minimum boundary of the locking amount of the retainer locking claw is constructed, and the relation of the three is obtained by using a radial basis function neural network; in subsequent application, the minimum boundary of the locking amount of the locking claw can be obtained according to the thickness and the length of the split claw of the retainer. The invention belongs to the field of cylindrical roller bearing retainer design.

Description

Technical Field

[0001] This invention relates to the field of cylindrical roller bearing cage design, and specifically to a method and system for designing the locking amount of the pawls of cylindrical roller bearing cages based on multi-parameter fusion analysis and dynamic compensation. Background Technology

[0002] As a crucial load-bearing component in mechanical equipment, cylindrical roller bearings require cage locking point structures that simultaneously meet the dual demands of preventing rolling element detachment and facilitating assembly and disassembly. Cage pocket locking claw structures based on splitting and forming are widely used due to their ease of assembly and disassembly. However, existing locking amount design methods often rely on design experience or analogy, lacking systematic theoretical analysis and selection principles. They fail to consider part machining errors and the springback effect after the locking claw splitting process, making it impossible to adapt to combinations of different locking claw structure parameters. This can lead to interference between rolling elements and the inner ring, rolling element detachment, and other issues during assembly, severely impacting the development cycle and even causing product scrapping and significant economic losses. Summary of the Invention

[0003] To address the problem that the design of the locking amount of the locking claws in cylindrical roller bearing cages does not take into account the machining errors of the parts and the springback effect after the locking claw clamping process, and cannot adapt to different combinations of locking claw structural parameters, resulting in interference between the rolling elements and the inner ring and the rolling elements falling off during assembly, leading to the scrapping of the cylindrical roller bearing, this invention proposes a method and system for designing the locking amount of the locking claws in cylindrical roller bearing cages.

[0004] The technical solution adopted in this invention is:

[0005] It includes the following steps:

[0006] S1. Calculate the maximum locking amount of the cylindrical roller bearing cage locking claws before silver plating;

[0007] S2. Based on the finite element model, considering the cage pocket machining error, rolling element machining error, different claw structure parameters and springback effect after the clamping process, calculate the minimum boundary of the locking amount of the cylindrical roller bearing cage claw before silver plating.

[0008] S3. Based on S2, construct a dataset showing the dimensional correspondence between different cage claw thicknesses, claw lengths, and the minimum boundary of cage locking claw tightening amount, referred to as a multidimensional dataset;

[0009] S4. Input the multidimensional dataset into the radial basis neural network for training. Input the wedge thickness and wedge length, and output the minimum boundary value of the cage locking amount to obtain the trained radial basis neural network.

[0010] S5. Obtain the arbitrary cage claw thickness and claw length and input them into the trained radial basis neural network to obtain the minimum boundary value of claw locking amount under the conditions of the cage claw thickness and claw length. Then, calculate the maximum boundary value of claw locking amount according to S1. Based on the minimum boundary value of claw locking amount and the maximum boundary value of claw locking amount, obtain the cage claw locking amount range.

[0011] The beneficial effects of this invention are as follows:

[0012] This invention incorporates part machining errors and the springback effect after the locking claw splitting process into the calculation of the locking amount. Combined with the referenced radial basis function neural network, it establishes the dimensional relationship between the cage claw thickness, claw length, and the minimum boundary value of the claw locking amount using the radial basis function neural network. This facilitates the rapid calculation of the minimum boundary value of the claw locking amount and can adapt to cage schemes with different claw thicknesses and lengths. It can quickly calculate the cage locking amount design results, shorten the development cycle, and reduce R&D costs. At the same time, the established trained radial basis function neural network is more in line with the actual product processing of the application unit. With the increase of application, the model adaptability and design accuracy are continuously improved, which greatly reduces the number of scrapped cylindrical roller bearings.

[0013] This invention is applicable to the precise determination of cage locking parameters under high precision and high reliability requirements, which can effectively improve the bearing assembly qualification rate and operational stability, and shorten the development cycle. Attached Figure Description

[0014] Figure 1 This is a flowchart of the present invention;

[0015] Figure 2 This is a schematic diagram of the cage locking claws;

[0016] Figure 3 This is a schematic diagram of cage deformation;

[0017] Figure 4 This is a diagram showing the positional relationship between the locking claw and the roller before the splitting action;

[0018] Figure 5 It is a multi-factor locking quantity boundary finite element model;

[0019] Figure 6 It is a diagram showing the circumferential displacement distribution of the cage's claw at different cross sections;

[0020] Figure 7 It is the circumferential displacement distribution of the claws with different cage locking amounts; Detailed Implementation

[0021] Specific implementation method one: Combining Figures 1-7 This embodiment describes a method for designing the locking amount of the cage pawl for cylindrical roller bearings, which includes the following steps:

[0022] S1, such as Figure 2 As shown, considering the variation in the silver layer thickness of the cylindrical roller bearing cage and the manufacturing error of the rollers, the maximum locking amount of the locking claws of the cylindrical roller bearing cage before silver plating is calculated to meet the requirement of "preventing rolling elements from falling off".

[0023] (1)

[0024] In the formula, This is the maximum locking limit of the cage locking claws before silver plating. For roller dimensions, This is due to dimensional deviation of the rollers. Minimum silver layer thickness, For additional locking amount, a value of 0.01mm is recommended.

[0025] S2. Based on the finite element model, considering the machining error of the cage pocket, the machining error of the rolling elements, different wedge structure parameters, and the springback effect after the wedge pressing process, calculate the minimum boundary of the locking amount of the cylindrical roller bearing cage wedge before silver plating to ensure the normal operation of the cylindrical roller bearing and avoid interference between the rolling elements and the raceway. Figure 3 As shown, in the actual machining process, the contact position between the deformed claw and the rolling element is... It is difficult to determine, therefore, the minimum boundary value of the lock claw and lock opening size of the silver-plated front retainer is... The calculation is difficult.

[0026] like Figure 4 As shown, point With point The diameter of the space is any point Distance from the roller for:

[0027] (2)

[0028] in, To maintain the size of the bracket pocket, To maintain the dimensional deviation of the bracket pocket, This refers to the lower tolerance of the roller dimensions. To maintain the inner diameter of the cage.

[0029] like Figure 5 As shown, the circumferential displacement distribution of the cage wedge at different cross-sections When the circumferential displacement of a certain section satisfies At times, such as Figure 6 As shown, at this point in the cross section... Effective circumferential displacement for:

[0030] (3)

[0031] in, This represents the maximum silver layer thickness.

[0032] The minimum locking limit of the cage locking claws before silver plating is:

[0033] (4)

[0034] S3. Using parameters such as cage claw thickness (claw thickness at the cutting point) and claw length as key variables, construct a multidimensional dataset based on S2 to establish the dimensional correspondence between different cage claw thicknesses, claw lengths and the minimum boundary of cage locking amount.

[0035] S4. Divide the multidimensional dataset into an 8:2 ratio to obtain a training set and a test set. Input the training set into a radial basis function neural network (RBFNN) for training. Input the wedge thickness and wedge length, consider the nonlinear relationship between the wedge thickness, wedge length and the minimum boundary value of the cage locking amount, use a Gaussian function as the activation function, and output the predicted minimum boundary value of the cage locking amount. Thus, the trained radial basis function neural network is obtained.

[0036] S5. Based on the trained radial basis function neural network, obtain the minimum boundary value of the cage pawl locking amount under arbitrary cage pawl thickness and length conditions. Combine this with the maximum boundary value of the cage pawl locking amount obtained in S1 to confirm the cage pawl locking amount range. .

[0037] S6. The cage pawl locking amount is designed through this invention. After actual processing verification, it is added to the multidimensional dataset to realize dynamic compensation of "design-verification-update" and gradually improve the adaptability and design accuracy of the trained radial basis neural network.

[0038] Specific Implementation Method Two: This implementation method differs from Specific Implementation Method One in that it includes a cylindrical roller bearing cage pawl locking amount design system, which is used to implement the cylindrical roller bearing cage pawl locking amount design method.

[0039] The other steps and parameters are the same as in Specific Implementation Method 1.

[0040] Specific Implementation Method 3: This implementation method differs from Specific Implementation Method 1 or 2 in that it uses a storage medium that stores at least one instruction, which is loaded and executed by a processor to implement the cylindrical roller bearing cage pawl locking amount design method.

[0041] It should be understood that any method described in this invention can be provided as a computer program product, software, or computerized method, which may include a non-transitory machine-readable medium on which instructions are stored, which can be used to program a computer system or other electronic device. The storage medium may include, but is not limited to, magnetic storage media, optical storage media; magneto-optical storage media include: read-only memory (ROM), random access memory (RAM), erasable programmable memory (e.g., EPROM and EEPROM), and flash memory layers; or other types of media suitable for storing electronic instructions.

[0042] Other steps and parameters are the same as in specific implementation method one or two.

[0043] This invention may have other embodiments. Without departing from the spirit and essence of this invention, those skilled in the art can make various corresponding changes and modifications according to this invention, but these corresponding changes and modifications should all fall within the protection scope of the appended claims.

Claims

1. A method for designing the locking amount of the cage pawl in a cylindrical roller bearing, characterized in that: It includes the following steps: S1. Calculate the maximum locking amount of the cylindrical roller bearing cage locking claws before silver plating; S2. Based on the finite element model, considering the cage pocket machining error, rolling element machining error, different claw structure parameters and springback effect after the clamping process, calculate the minimum boundary of the locking amount of the cylindrical roller bearing cage claw before silver plating. S3. Based on S2, construct a dataset showing the dimensional correspondence between different cage claw thicknesses, claw lengths, and the minimum boundary of cage locking claw tightening amount, referred to as a multidimensional dataset; S4. Input the multidimensional dataset into the radial basis neural network for training. Input the wedge thickness and wedge length, and output the minimum boundary value of the cage locking amount to obtain the trained radial basis neural network. S5. Obtain the arbitrary cage claw thickness and claw length and input them into the trained radial basis neural network to obtain the minimum boundary value of claw locking amount under the conditions of the cage claw thickness and claw length. Then, calculate the maximum boundary value of claw locking amount according to S1. Based on the minimum boundary value of claw locking amount and the maximum boundary value of claw locking amount, obtain the cage claw locking amount range.

2. The method for designing the locking amount of the pawl on a cylindrical roller bearing cage according to claim 1, characterized in that: The specific process of S1 is as follows: （1） In the formula, This is the maximum locking limit of the cage locking claws before silver plating. For roller dimensions, This is due to dimensional deviation of the rollers. Minimum silver layer thickness, Additional locking amount.

3. The method for designing the locking amount of the pawl of a cylindrical roller bearing cage according to claim 2, characterized in that: The specific process of S2 is as follows: （2） in, To maintain the size of the bracket pocket.

4. The method for designing the locking amount of the pawl on a cylindrical roller bearing cage according to claim 3, characterized in that: The The calculation formula is: （3） in, This represents the maximum silver layer thickness.

5. The method for designing the locking amount of the pawl of a cylindrical roller bearing cage according to claim 4, characterized in that: The The calculation formula is: （4） in, To maintain the dimensional deviation of the bracket pocket, This refers to the lower tolerance of the roller dimensions. To maintain the inner diameter of the cage, For contact point The diameter.

6. A design system for locking the pawls of a cylindrical roller bearing cage, characterized in that: The system is used to execute a method for designing the locking amount of the cage pawl of a cylindrical roller bearing as described in any one of claims 1 to 5.

7. A storage medium, characterized in that: The storage medium stores at least one instruction, which is loaded and executed by a processor to implement a cylindrical roller bearing cage pawl locking amount design method as described in any one of claims 1 to 5.

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