A Hypoid Gear Assembly Optimization Method, System, Terminal and Medium

Abstract

The present invention relates to the field of gear assembly, and specifically discloses an optimization method, system, terminal and medium for hypoid gear assembly. The distance between the contact pattern of the actual gear assembly and the edge of the tooth surface is obtained and recorded as the actual distance; a hypoid gear model is built; the axial installation errors of the pinion and the gear are configured; the distance between the contact pattern and the edge of the tooth surface in the current state is calculated and compared with the actual distance to obtain the third contact pattern deviation; it is judged whether the third contact pattern deviation is within the preset deviation range; if so, the currently configured axial installation errors of the pinion and the gear are output; otherwise, new axial installation errors of the pinion and the gear are configured according to the preset step size and the subsequent steps are continued. By calculating the distance between the contact pattern and the edge of the tooth surface, the present invention evaluates the offset of the contact pattern of the hypoid gear considering the installation error, and quantitatively selects the thickness of the adjustment shim according to the evaluation result, so as to realize the efficient and precise assembly of the hypoid gear.

Description

Technical Field

[0001] The present invention relates to the field of gear assembly, and specifically to a method, system, terminal and medium for optimizing the assembly of hypoid gears. Background Art

[0002] As a key component for power transmission between intersecting axes, hypoid gears are widely used in vehicles, aerospace and industrial speed reducers, and have the characteristics of high load-carrying capacity, long fatigue life, high reliability, etc. However, the meshing performance of hypoid gears is very sensitive to the topological structure of the tooth surface, and errors caused by machining and installation will cause deviations between the actual performance and the theoretical design of the gears, resulting in problems such as edge contact, vibration and noise.

[0003] Currently, in the assembly process of hypoid gears, production personnel adjust the thickness of the shims of the large and small gears based on the deviation of the contact imprint position between the test and the design, and compensate for the installation error. However, this assembly and adjustment process method has defects such as many iteration times, low efficiency, and poor accuracy, and it is difficult to ensure the consistency of the contact performance of the hypoid gear design and manufacturing. Summary of the Invention

[0004] To solve the above problems, the present invention provides a method, system, terminal and medium for optimizing the assembly of hypoid gears. By calculating the distance between the contact imprint and the edge of the tooth surface, the offset of the contact imprint of the hypoid gear considering the installation error is evaluated, and the thickness of the assembly and adjustment shim is quantitatively selected according to the evaluation result, so as to achieve the efficient and precise assembly of the hypoid gear.

[0005] In the first aspect, the technical solution of the present invention provides a method for optimizing the assembly of hypoid gears, including the following steps:

[0006] Obtain the distance between the contact imprint of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance;

[0007] Build a hypoid gear model;

[0008] Configure the axial installation error of the pinion and the axial installation error of the gear;

[0009] Adjust the positions of the pinion and the gear in the model according to the configured axial installation error, calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact imprint deviation;

[0010] Judge whether the third contact imprint deviation is within the preset deviation range;

[0011] If so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select the shim according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly;

[0012] Otherwise, configure new axial mounting errors of the pinion and the gear wheel according to a preset step size, and continue to execute subsequent steps.

[0013] In an optional embodiment, after building a quasi double-sided gear model, the following steps are further included:

[0014] Calculate the distance between the contact mark and the edge of the tooth surface in the state where there is no axial mounting error for both the pinion and the gear wheel, and record it as the ideal distance.

[0015] In an optional embodiment, after configuring the axial mounting errors of the pinion and the gear wheel, the following steps are further included:

[0016] Adjust the position of the pinion in the model according to the configured axial mounting error of the pinion. The gear wheel has no axial mounting error. Calculate the distance between the contact mark and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the first contact mark deviation.

[0017] Adjust the position of the gear wheel in the model according to the configured axial mounting error of the gear wheel. The pinion has no axial mounting error. Calculate the distance between the contact mark and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the second contact mark deviation.

[0018] In an optional embodiment, the distance between the contact mark and the edge of the tooth surface includes the minimum spatial distance L from the contact mark on the concave surface to the large end o1 , the minimum spatial distance L from the contact mark to the tooth tip o2 , the minimum spatial distance L from the contact mark to the small end o3 , the minimum spatial distance L from the contact mark to the tooth root o4 , and the minimum spatial distance L from the contact mark on the convex surface to the large end t1 , the minimum spatial distance L from the contact mark to the tooth tip t2 , the minimum spatial distance L from the contact mark to the small end t3 , the minimum spatial distance L from the contact mark to the tooth root t4 ;

[0019] The contact mark deviation includes the sum of the large end deviation, tooth tip deviation, small end deviation, and tooth root deviation of the contact mark on the concave surface, and the sum of the large end deviation, tooth tip deviation, small end deviation, and tooth root deviation of the contact mark on the convex surface;

[0020] Each deviation is the absolute value of the difference between the corresponding two distances.

[0021] In an optional embodiment, configuring the axial mounting errors of the pinion and the gear wheel according to a preset step size specifically includes:

[0022] Construct a Jacobian matrix according to the first contact mark deviation and the second contact mark deviation of the j-th iteration

[0023]

[0024] Among them, ΔL Ao1 is the large-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao2 is the tip deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao3 is the small-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao4 is the root deviation of the concave surface contact imprint in the first contact imprint deviation;

[0025] ΔL At1 is the large-end deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At2 is the tip deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At3 is the small-end deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At4 is the root deviation of the convex surface contact imprint in the first contact imprint deviation;

[0026] ΔL Bo1 is the large-end deviation of the concave surface contact imprint in the second contact imprint deviation, ΔL Bo2 is the tip deviation of the concave surface contact imprint in the second contact imprint deviation, ΔL Bo3 is the small-end deviation of the concave surface contact imprint in the second contact imprint deviation, ΔL Bo4 is the root deviation of the concave surface contact imprint in the second contact imprint deviation;

[0027] ΔL Bt1 is the large-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt2 is the tip deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt3 is the small-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt4 is the root deviation of the convex surface contact imprint in the second contact imprint deviation;

[0028] The change coefficient A of the pinion error and the change coefficient B of the gear error in the j-th iteration are calculated through the following formula j and j :

[0029]

[0030] Among them, ΔL o1 is the large-end deviation of the concave surface contact imprint in the third contact imprint deviation, ΔL o2is the tooth tip deviation of the concave contact impression in the third contact impression deviation, ΔL o3 is the small end deviation of the concave contact impression in the third contact impression deviation, ΔL o4 is the tooth root deviation of the concave contact impression in the third contact impression deviation;

[0031] ΔL t1 is the large end deviation of the convex contact impression in the third contact impression deviation, ΔL t2 is the tooth tip deviation of the convex contact impression in the third contact impression deviation, ΔL t3 is the small end deviation of the convex contact impression in the third contact impression deviation, ΔL t4 is the tooth root deviation of the convex contact impression in the third contact impression deviation;

[0032] The pinion axial mounting error ΔP for the j-th iteration is calculated by the following formula j :

[0033] ΔP j = ΔP j-1 + A j-1 ·ΔΔP

[0034] where ΔΔP is the iteration step of the pinion axial mounting error;

[0035] The gear axial mounting error ΔG for the j-th iteration is calculated by the following formula j :

[0036] ΔG j = ΔG j-1 + B j-1 ·ΔΔG

[0037] where ΔΔG is the iteration step of the gear axial mounting error.

[0038] In an alternative embodiment, before configuring the new pinion axial mounting error and gear axial mounting error, the following steps are further included:

[0039] Determine whether the number of iterations has reached the preset number;

[0040] If so, output the currently configured pinion axial mounting error and gear axial mounting error to select the gasket according to the currently configured pinion axial mounting error and gear axial mounting error to complete the assembly;

[0041] Otherwise, configure the new pinion axial mounting error and gear axial mounting error.

[0042] In an alternative embodiment, the selection of the gasket specifically includes:

[0043] Select the gasket according to the principle of proximity.

[0044] In a second aspect, the technical solution of the present invention provides a hypoid gear assembly optimization system, including:

[0045] Actual distance acquisition module: acquires the distance from the contact mark of the actual gear assembly to the edge of the tooth surface, denoted as the actual distance;

[0046] Model building module: builds a hypoid gear model;

[0047] Installation error configuration module: configures the axial installation error of the pinion and the axial installation error of the gear;

[0048] Contact mark deviation calculation module: adjusts the positions of the pinion and the gear in the model according to the configured axial installation error, calculates the distance from the contact mark to the edge of the tooth surface in the current state, and compares it with the actual distance to obtain the third contact mark deviation;

[0049] Assembly optimization execution module: determines whether the third contact mark deviation is within a preset deviation range; if so, outputs the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select a gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly; otherwise, configures new axial installation errors of the pinion and the gear according to a preset step length, and continues to execute the contact mark deviation calculation module.

[0050] In a third aspect, the technical solution of the present invention provides a terminal, including:

[0051] A memory for storing a hypoid gear assembly optimization program;

[0052] A processor for implementing the steps of the hypoid gear assembly optimization method as described in any one of the above when executing the hypoid gear assembly optimization program.

[0053] In a fourth aspect, the technical solution of the present invention provides a computer-readable storage medium, on which a hypoid gear assembly optimization program is stored, and when the hypoid gear assembly optimization program is executed by a processor, the steps of the hypoid gear assembly optimization method as described in any one of the above are implemented.

[0054] A hypoid gear assembly optimization method, system, terminal and medium provided by the present invention have the following beneficial effects compared with the prior art: First, obtain the actual distance, then build a model, adjust the axial installation errors of the pinion and the gear, calculate the theoretical distance, and analyze the influence of the installation errors on the contact pattern offset by comparing the deviation between the theoretical distance and the actual distance. The present invention evaluates the contact pattern offset of the hypoid gear considering the installation errors by calculating the distance from the contact pattern to the edge of the tooth surface, quantitatively selects the thickness of the shim according to the evaluation results, so as to achieve the efficient and precise assembly of the hypoid gear. Preferably, through the contact pattern sensitivity analysis strategy driven by the installation errors, the analysis efficiency is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings 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.

[0056] Figure 1 FIG. is a schematic flow chart of a hypoid gear assembly optimization method provided by an embodiment of the present invention.

[0057] Figure 2 FIG. is a schematic diagram of the distance from the contact pattern to the edge of the tooth surface.

[0058] Figure 3 FIG. is a schematic block diagram of a hypoid gear assembly optimization structure provided by an embodiment of the present invention.

[0059] Figure 4 FIG. is a schematic structural diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] In order to enable those skilled in the art of the present technology to better understand the solutions of the present invention, the following will further describe the present invention in detail with reference to the drawings and specific embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention.

[0062] Figure 1It is a schematic flow diagram of a hypoid gear assembly optimization method provided by an embodiment of the present invention. Among them, Figure 1 The execution subject can be a hypoid gear assembly optimization method system. The hypoid gear assembly optimization method provided by the embodiment of the present invention is executed by a computer device. Correspondingly, the hypoid gear assembly optimization method system runs in the computer device. According to different requirements, the order of steps in this flowchart can be changed, and some can be omitted.

[0063] The method of this embodiment evaluates the offset of the hypoid gear contact pattern considering the installation error by defining the distance between the contact pattern and the tooth surface edge, and quantitatively selects the thickness of the shim according to the evaluation result, so as to achieve the efficient and precise assembly of the hypoid gear.

[0064] As Figure 1 shown, the method includes the following flow steps.

[0065] S1, Obtain the distance between the contact pattern of the actually assembled gear and the tooth surface edge, denoted as the actual distance.

[0066] Figure 2 It is a schematic diagram of the distance between the contact pattern and the tooth surface edge. The distance includes the minimum spatial distances from the contact pattern to the large end, tooth tip, small end, and tooth root, which are L1, L2, L3, and L4 respectively. Specifically, the distance between the contact pattern of this embodiment and the tooth surface edge includes the minimum spatial distance L o1 from the concave contact pattern to the large end, the minimum spatial distance L o2 from the concave contact pattern to the tooth tip, the minimum spatial distance L o3 from the concave contact pattern to the small end, the minimum spatial distance L o4 from the concave contact pattern to the tooth root, and the minimum spatial distance L t1 from the convex contact pattern to the large end, the minimum spatial distance L t2 from the convex contact pattern to the tooth tip, the minimum spatial distance L t3 from the convex contact pattern to the small end, and the minimum spatial distance L t4 from the convex contact pattern to the tooth root.

[0067] It should be noted that the gear contact patterns in this embodiment include the concave and convex contact patterns of the large gear and the concave and convex contact patterns of the small gear. For the shim selection of the large gear, the concave and convex contact patterns of the large gear are used, and for the shim selection of the small gear, the concave and convex contact patterns of the small gear are used.

[0068] The purpose of this step is to obtain the contact pattern parameters of the actually assembled gear, and use the contact pattern of the actual assembly for subsequent calculation and analysis to achieve the purpose of overlapping the theoretical contact pattern and the actual contact pattern.

[0069] S2, Build a hypoid gear model.

[0070] The model established in this embodiment is a TCA (Tooth Contact Analysis) model, and the subsequent steps are all based on this model for theoretical calculation of the contact pattern.

[0071] S3. Configure the axial mounting error of the pinion and the axial mounting error of the gear.

[0072] For a hypoid gear, the mounting errors include the axial error P of the pinion, the axial error G of the gear, the offset error E, and the shaft angle error α. The direction away from the gear for the axial error is positive, the direction away from the axis for the offset error is negative, and the direction that increases the shaft angle for the shaft angle error is positive.

[0073] Since E and A are determined by the manufacturing accuracy of the housing or casing, and the offset of the shaft angle cannot be adjusted during the assembly and adjustment process, only P and G can be defined as target variables. Also, because the thickness of the gasket is limited, the optimization of the hypoid gear assembly process is actually a discrete multi-objective approximation optimization problem with two variables.

[0074] Therefore, in this embodiment, the axial mounting error of the pinion and the axial mounting error of the gear are configured, and multiple optimization iterations are performed. When the calculation exceeds the maximum number of iterations or the error meets the preset accuracy condition, the final assembly process results P and G are output.

[0075] S4. Adjust the positions of the pinion and the gear in the model according to the configured axial mounting error, calculate the distance between the contact pattern and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact pattern deviation.

[0076] The contact pattern deviation includes the sum of the large-end deviation, the tip deviation, the small-end deviation, and the root deviation of the contact pattern on the concave surface, as well as the sum of the large-end deviation, the tip deviation, the small-end deviation, and the root deviation of the contact pattern on the convex surface.

[0077] Each deviation is the absolute value of the difference between the corresponding two distances.

[0078] S5. Determine whether the third contact pattern deviation is within the preset deviation range.

[0079] S6. If so, output the currently configured axial mounting error of the pinion and the axial mounting error of the gear, so as to select the gasket according to the currently configured axial mounting error of the pinion and the axial mounting error of the gear to complete the assembly.

[0080] It can be understood that under the current axial mounting error, the theoretical contact pattern is close to the actual contact pattern, and the thickness of the gasket is selected according to the current axial mounting error for compensation.

[0081] It should be noted that since the gasket thickness is discrete, the gasket can be selected based on the principle of proximity, and finally, efficient and precise production and assembly of cycloidal equal-height teeth can be achieved.

[0082] S7, otherwise, configure the axial mounting error of the pinion and the axial mounting error of the gear, and continue to execute the steps after configuring the axial mounting error.

[0083] This method defines the distance between the contact mark and the edge of the tooth surface, builds a quasi-double helical gear model, calculates the distance between the contact mark and the edge of the tooth surface based on the built quasi-double helical gear model, analyzes the offset of the contact mark based on this distance, and then selects the gasket according to the calculated offset, so as to avoid manual adjustment based on experience and improve the assembly compensation accuracy and efficiency.

[0084] The axial mounting error configured in the above steps can be adjusted manually according to a certain step size, but this method is less efficient. To further improve the optimization efficiency, the embodiment of the present invention also provides a method for optimizing the assembly of hypoid gears, which adjusts the axial mounting error configured in the current iteration based on the result of the previous iteration, including the following steps.

[0085] SS1, obtain the distance between the contact mark of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance.

[0086] The distance between the contact mark and the edge of the tooth surface includes the minimum spatial distance L from the contact mark on the concave surface to the large end o1 , the minimum spatial distance L from the contact mark to the tooth tip o2 , the minimum spatial distance L from the contact mark to the small end o3 , the minimum spatial distance L from the contact mark to the tooth root o4 , and the minimum spatial distance L from the contact mark on the convex surface to the large end t1 , the minimum spatial distance L from the contact mark to the tooth tip t2 , the minimum spatial distance L from the contact mark to the small end t3 , the minimum spatial distance L from the contact mark to the tooth root t4 .

[0087] SS2, build a quasi-double helical gear model.

[0088] SS3, calculate the distance between the contact mark and the edge of the tooth surface in the state where there is no axial mounting error for both the pinion and the gear, denoted as the ideal distance.

[0089] SS4, configure the axial mounting error of the pinion and the axial mounting error of the gear.

[0090] SS5, adjust the position of the pinion in the model according to the configured axial mounting error of the pinion, with no axial mounting error for the gear, calculate the distance between the contact mark and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the first contact mark deviation.

[0091] The contact imprint deviation includes the sum of the large-end deviation, tip deviation, small-end deviation, and root deviation of the concave contact imprint, as well as the sum of the large-end deviation, tip deviation, small-end deviation, and root deviation of the convex contact imprint.

[0092] Each deviation is the absolute value of the difference between two corresponding distances.

[0093] SS6. Adjust the position of the large gear in the model according to the configured axial installation error of the large gear. The small gear has no axial installation error. Calculate the distance from the contact imprint to the edge of the tooth surface in the current state and compare it with the ideal distance to obtain the second contact imprint deviation.

[0094] SS7. Adjust the positions of the small gear and the large gear in the configured axial installation error adjustment model. Calculate the distance from the contact imprint to the edge of the tooth surface in the current state and compare it with the actual distance to obtain the third contact imprint deviation.

[0095] SS8. Determine whether the third contact imprint deviation is within the preset deviation range.

[0096] The third contact imprint deviation includes and For example, if the preset deviation range is predefined as <1mm, when both of these deviations are less than 1mm, it is determined that the third contact imprint deviation is within the preset deviation range.

[0097] SS9. If so, output the currently configured axial installation error of the small gear and the axial installation error of the large gear to select the gasket according to the currently configured axial installation error of the small gear and the axial installation error of the large gear to complete the assembly.

[0098] SS10. Otherwise, determine whether the number of iterations has reached the preset number.

[0099] SS11. If so, output the currently configured axial installation error of the small gear and the axial installation error of the large gear to select the gasket according to the currently configured axial installation error of the lower gear and the axial installation error of the large gear to complete the assembly.

[0100] SS12. Otherwise, configure new axial installation errors for the small gear and the large gear and continue to execute the subsequent steps.

[0101] SS12.1. Construct the Jacobian matrix according to the first contact imprint deviation and the second contact imprint deviation in the jth iteration

[0102]

[0103] where ΔL Ao1 is the large-end deviation of the concave contact imprint in the first contact imprint deviation, ΔLAo2 is the tip deviation of the concave contact impression in the first contact impression deviation, ΔL Ao3 is the small end deviation of the concave contact impression in the first contact impression deviation, ΔL Ao4 is the root deviation of the concave contact impression in the first contact impression deviation;

[0104] ΔL At1 is the large end deviation of the convex contact impression in the first contact impression deviation, ΔL At2 is the tip deviation of the convex contact impression in the first contact impression deviation, ΔL At3 is the small end deviation of the convex contact impression in the first contact impression deviation, ΔL At4 is the root deviation of the convex contact impression in the first contact impression deviation;

[0105] ΔL Bo1 is the large end deviation of the concave contact impression in the second contact impression deviation, ΔL Bo2 is the tip deviation of the concave contact impression in the second contact impression deviation, ΔL Bo3 is the small end deviation of the concave contact impression in the second contact impression deviation, ΔL Bo4 is the root deviation of the concave contact impression in the second contact impression deviation;

[0106] ΔL Bt1 is the large end deviation of the convex contact impression in the second contact impression deviation, ΔL Bt2 is the tip deviation of the convex contact impression in the second contact impression deviation, ΔL Bt3 is the small end deviation of the convex contact impression in the second contact impression deviation, ΔL Bt4 is the root deviation of the convex contact impression in the second contact impression deviation;

[0107] SS12.2, calculate the change coefficient A of the pinion error and the change coefficient B of the gear error in the j-th iteration through the following formula j and j :

[0108]

[0109] where ΔL o1 is the large end deviation of the concave contact impression in the third contact impression deviation, ΔL o2 is the tip deviation of the concave contact impression in the third contact impression deviation, ΔL o3 is the small end deviation of the concave contact impression in the third contact impression deviation, ΔL o4 is the root deviation of the concave contact impression in the third contact impression deviation;

[0110] ΔL t1 is the large-end deviation of the convex surface contact impression in the third contact impression deviation, ΔL t2 is the tip deviation of the convex surface contact impression in the third contact impression deviation, ΔL t3 is the small-end deviation of the convex surface contact impression in the third contact impression deviation, ΔL t4 is the root deviation of the convex surface contact impression in the third contact impression deviation.

[0111] SS12.3. Calculate the pinion axial mounting error ΔP at the j-th iteration through the following formula j :

[0112] ΔP j = ΔP j-1 + A j-1 ·ΔΔP

[0113] where ΔΔP is the iteration step of the pinion axial mounting error;

[0114] SS12.4. Calculate the gear axial mounting error ΔG at the j-th iteration through the following formula j :

[0115] ΔG j = ΔG j-1 + B j-1 ·ΔΔG

[0116] where ΔΔG is the iteration step of the gear axial mounting error.

[0117] Considering that the thickness of the gasket is generally 0.5 mm, etc., the values of ΔΔP and ΔΔG can be 0.01. Additionally, ΔP 0 = 0.

[0118] In this embodiment, following the principle of single variable, analyze the influence of each mounting error on the offset direction of the contact impression. Determine the directions of ΔP and ΔG based on the position where the contact impression deviates. Based on multiple groups of TCA analysis, P and G have a certain linear relationship with L 1 ~L 4 Therefore, iterative solution can be performed through a multi-objective optimization algorithm, and the algorithm is as shown in the formula of step SS12.2.

[0119] It should be noted that the above steps are used for analysis and calculation for both the pinion and the gear. For the compensation of the pinion, calculate the contact impression of the pinion under each axial mounting error. For the compensation of the gear, calculate the contact impression of the gear under each axial mounting error.

[0120] In the above, embodiments of a hypoid gear assembly optimization method have been described in detail. Based on the hypoid gear assembly optimization method described in the above embodiments, an embodiment of the present invention further provides a hypoid gear assembly optimization system corresponding to this method.

[0121] Figure 2 FIG. 4 is a schematic block diagram of a hypoid gear assembly optimization structure provided by an embodiment of the present invention. The hypoid gear assembly optimization system 300 can be divided into multiple functional modules according to the functions it performs, as Figure 2 shown. The functional modules may include: an actual distance acquisition module 310, a model building module 320, an installation error configuration module 330, a contact pattern deviation calculation module 340, and an assembly optimization execution module 350. The module referred to in the present invention means a series of computer program segments that can be executed by at least one processor and can complete fixed functions, and are stored in a memory.

[0122] Actual distance acquisition module 310: Acquire the distance between the contact pattern of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance.

[0123] Model building module 320: Build a hypoid gear model.

[0124] Installation error configuration module 330: Configure the axial installation error of the pinion and the axial installation error of the gear.

[0125] Contact pattern deviation calculation module 340: Adjust the positions of the pinion and the gear in the model according to the configured axial installation error, calculate the distance between the contact pattern and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact pattern deviation.

[0126] Assembly optimization execution module 350: Determine whether the third contact pattern deviation is within a preset deviation range; if so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select a gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly; otherwise, trigger the execution of the installation error configuration module to configure a new axial installation error of the pinion and a new axial installation error of the gear according to a preset step size, and continue to execute the contact pattern deviation calculation module.

[0127] In an alternative embodiment, the contact pattern deviation calculation module 340 is further configured to calculate the distance between the contact pattern and the edge of the tooth surface in a state where there is no axial installation error for both the pinion and the gear, denoted as the ideal distance.

[0128] In an alternative embodiment, the contact imprint deviation calculation module 340 is further configured to adjust the position of the pinion in the model according to the configured axial installation error of the pinion. The ring gear has no axial installation error. Calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the first contact imprint deviation; adjust the position of the ring gear in the model according to the configured axial installation error of the ring gear. The pinion has no axial installation error. Calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the second contact imprint deviation.

[0129] The hypoid gear assembly optimization system of this embodiment is used to implement the foregoing hypoid gear assembly optimization method. Therefore, the specific implementation manners in this system can be seen in the embodiment part of the hypoid gear assembly optimization method in the foregoing text. Therefore, its specific implementation manners can be referred to the descriptions of the corresponding individual embodiment parts and will not be elaborated here.

[0130] In addition, since the hypoid gear assembly optimization system of this embodiment is used to implement the foregoing hypoid gear assembly optimization method, its functions correspond to those of the above method and will not be repeated here.

[0131] Figure 4 FIG. 400 is a schematic structural diagram of a terminal 400 provided by an embodiment of the present invention, including: a processor 410, a memory 420, and a communication unit 430. When the processor 410 implements the hypoid gear assembly optimization program stored in the memory 420, the following steps are implemented:

[0132] Obtain the distance between the contact imprint of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance;

[0133] Build a hypoid gear model;

[0134] Configure the axial installation error of the pinion and the axial installation error of the ring gear;

[0135] Adjust the positions of the pinion and the ring gear in the model according to the configured axial installation error, calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact imprint deviation;

[0136] Determine whether the third contact imprint deviation is within a preset deviation range;

[0137] If so, output the currently configured axial installation error of the pinion and the axial installation error of the ring gear, so as to select a gasket according to the currently configured axial installation error of the pinion and the axial installation error of the ring gear to complete the assembly;

[0138] Otherwise, configure new axial installation errors of the pinion and the ring gear according to a preset step size, and continue to execute the subsequent steps.

[0139] The terminal 400 includes a processor 410, a memory 420, and a communication unit 430. These components communicate via one or more buses. Those skilled in the art can understand that the structure of the server shown in the figure does not limit the present invention. It can be a bus structure, a star structure, and can also include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0140] Among them, the memory 420 can be used to store the execution instructions of the processor 410. The memory 420 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. When the execution instructions in the memory 420 are executed by the processor 410, the terminal 400 can execute some or all of the steps in the above method embodiments.

[0141] The processor 410 is the control center of the storage terminal, connecting various parts of the entire electronic terminal through various interfaces and lines. By running or executing the software programs and / or modules stored in the memory 420, and by calling the data stored in the memory, it executes various functions of the electronic terminal and / or processes data. The processor can be composed of an integrated circuit (IC). For example, it can be composed of a single packaged IC, or can be composed of multiple packaged ICs with the same or different functions connected. For example, the processor 410 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single arithmetic core or can include multiple arithmetic cores.

[0142] The communication unit 430 is used to establish a communication channel so that the storage terminal can communicate with other terminals. It receives user data sent by other terminals or sends user data to other terminals.

[0143] The present invention also provides a computer storage medium. The storage medium here can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), etc.

[0144] The computer storage medium stores a hypoid gear assembly optimization program. When the hypoid gear assembly optimization program is executed by the processor, the following steps are implemented:

[0145] Obtain the distance between the contact mark of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance;

[0146] Build a quasi-double-sided gear model;

[0147] Configure the axial installation error of the pinion and the axial installation error of the gear;

[0148] Adjust the positions of the pinion and the gear in the model according to the configured axial installation error, calculate the distance between the contact mark and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact mark deviation;

[0149] Judge whether the third contact mark deviation is within the preset deviation range;

[0150] If so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select a gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly;

[0151] Otherwise, configure new axial installation errors of the pinion and the gear according to the preset step size, and continue to execute the subsequent steps.

[0152] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be realized by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disc, etc., which can store program codes. The medium includes several instructions to enable a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention.

[0153] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces, and the indirect coupling or communication connection of the device or unit can be in an electrical, mechanical, or other form.

[0154] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0155] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0156] The above-disclosed are only the preferred embodiments of the present invention, but the present invention is not limited thereto. Any non-creative changes that can be thought of by those skilled in the art and several improvements and refinements made without departing from the principle of the present invention should fall within the protection scope of the present invention.

Claims

1. A method for optimizing the assembly of hypoid gears, characterized in that, it includes the following steps: Obtain the distance between the contact pattern of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance; build a hypoid gear model; Calculate the distance between the contact pattern and the edge of the tooth surface in the state where there is no installation error in the axial direction of the pinion and the axial direction of the gear, denoted as the ideal distance; Configure the axial installation error of the pinion and the axial installation error of the gear; Adjust the position of the pinion in the model according to the configured axial installation error of the pinion, with no axial installation error for the gear, calculate the distance between the contact pattern and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the first contact pattern deviation; Adjust the position of the gear in the model according to the configured axial installation error of the gear, with no axial installation error for the pinion, calculate the distance between the contact pattern and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the second contact pattern deviation; Adjust the positions of the pinion and the gear in the model according to the configured axial installation error, calculate the distance between the contact pattern and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact pattern deviation; Judge whether the third contact pattern deviation is within the preset deviation range; If so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select the gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly; Otherwise, configure new axial installation errors for the pinion and the gear according to the preset step size, and continue to execute the steps after configuring the axial installation error; The distance of the contact mark from the edge of the tooth surface includes the minimum spatial distance L from the contact mark on the concave surface to the large end o1 , the minimum spatial distance L from the contact mark to the tooth tip o2 , the minimum spatial distance L from the contact mark to the small end o3 , the minimum spatial distance L from the contact mark to the tooth root o4 , and the minimum spatial distance L from the contact mark on the convex surface to the large end t1 , the minimum spatial distance L from the contact mark to the tooth tip t2 , the minimum spatial distance L from the contact mark to the small end t3 , the minimum spatial distance L from the contact mark to the tooth root t4 ; The contact pattern deviation includes the sum of the large-end deviation, tooth tip deviation, small-end deviation, and tooth root deviation of the contact pattern on the concave surface, and the sum of the large-end deviation, tooth tip deviation, small-end deviation, and tooth root deviation of the contact pattern on the convex surface; Each deviation is the absolute value of the difference between the corresponding two distances; Configure the axial installation errors of the small wheel and the large wheel according to the preset step size, specifically including: constructing the Jacobian matrix J based on the first contact imprint deviation and the second contact imprint deviation in the j-th iteration j -1 : Among them, ΔL Ao1 is the large-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao2 is the tip deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao3 is the small-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao4 is the root deviation of the concave surface contact imprint in the first contact imprint deviation; ΔL At1 is the large-end deviation of the convex surface contact impression in the first contact impression deviation, ΔL At2 is the tip deviation of the convex surface contact impression in the first contact impression deviation, ΔL At3 is the small-end deviation of the convex surface contact impression in the first contact impression deviation, ΔL At4 is the root deviation of the convex surface contact impression in the first contact impression deviation; ΔL Bo1 is the large-end deviation of the concave contact imprint in the second contact imprint deviation, ΔL Bo2 is the tip deviation of the concave contact imprint in the second contact imprint deviation, ΔL Bo3 is the small-end deviation of the concave contact imprint in the second contact imprint deviation, ΔL Bo4 is the root deviation of the concave contact imprint in the second contact imprint deviation; ΔL Bt1 is the large-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt2 is the tip deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt3 is the small-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt4 is the root deviation of the convex surface contact imprint in the second contact imprint deviation; Calculate the change coefficient A of the pinion error at the j-th iteration through the following formula j and the change coefficient B of the gear error j : Among them, ΔL o1 is the large-end deviation of the concave surface contact impression in the third contact impression deviation, ΔL o2 is the tip deviation of the concave surface contact impression in the third contact impression deviation, ΔL o3 is the small-end deviation of the concave surface contact impression in the third contact impression deviation, ΔL o4 is the root deviation of the concave surface contact impression in the third contact impression deviation; ΔL t1 is the large-end deviation of the convex surface contact impression in the third contact impression deviation, ΔL t2 is the tip deviation of the convex surface contact impression in the third contact impression deviation, ΔL t3 is the small-end deviation of the convex surface contact impression in the third contact impression deviation, ΔL t4 is the root deviation of the convex surface contact impression in the third contact impression deviation; The small wheel axial installation error ΔP at the j-th iteration is calculated by the following formula j :[[]]END]] ΔP j = ΔP j-1 + A j-1 · ΔΔP Among them, ΔΔP is the iterative step size of the axial installation error of the pinion; Calculate the large wheel axial installation error ΔG in the j-th iteration through the following formula j : ΔG j = ΔG j-1 + B j-1 · ΔΔG Among them, ΔΔG is the iterative step size of the axial installation error of the gear.

2. The method for optimizing the assembly of hypoid gears according to claim 1, characterized in that, Before configuring the new axial installation errors of the pinion and the gear, it further includes the following steps: Judge whether the number of iterations has reached the preset number; If so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select the gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly; Otherwise, configure new axial installation errors for the pinion and the gear.

3. The method for optimizing the assembly of hypoid gears according to claim 2, characterized in that, The selection of the gasket specifically includes: Select the gasket according to the principle of proximity.

4. A system for optimizing the assembly of hypoid gears, characterized in that, it includes, Actual distance acquisition module: Obtain the distance between the contact pattern of the actual gear assembly and the edge of the tooth surface, denoted as the actual distance; Model building module: Build a hypoid gear model; Installation error configuration module: Configure the axial installation error of the pinion and the axial installation error of the gear; Contact imprint deviation calculation module: Adjust the positions of the pinion and the gear in the model according to the configured axial installation error, calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the actual distance to obtain the third contact imprint deviation; Assembly optimization execution module: Determine whether the third contact imprint deviation is within the preset deviation range; If so, output the currently configured axial installation error of the pinion and the axial installation error of the gear, so as to select a gasket according to the currently configured axial installation error of the pinion and the axial installation error of the gear to complete the assembly; Otherwise, trigger the execution of the installation error configuration module to configure new axial installation errors of the pinion and the gear according to the preset step size, and continue to execute the contact imprint deviation calculation module; It further includes: Calculate the distance between the contact imprint and the edge of the tooth surface in the state where there is no installation error in the axial direction of the pinion and the axial direction of the gear, and record it as the ideal distance; Adjust the position of the pinion in the model according to the configured axial installation error of the pinion, and there is no axial installation error for the gear. Calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the first contact imprint deviation; Adjust the position of the gear in the model according to the configured axial installation error of the gear, and there is no axial installation error for the pinion. Calculate the distance between the contact imprint and the edge of the tooth surface in the current state, and compare it with the ideal distance to obtain the second contact imprint deviation; The distance of the contact imprint from the edge of the tooth surface includes the minimum spatial distance L from the contact imprint on the concave surface to the large end o1 , the minimum spatial distance L from the contact imprint to the tooth tip o2 , the minimum spatial distance L from the contact imprint to the small end o3 , the minimum spatial distance L from the contact imprint to the tooth root o4 , and the minimum spatial distance L from the contact imprint on the convex surface to the large end t1 , the minimum spatial distance L from the contact imprint to the tooth tip t2 , the minimum spatial distance L from the contact imprint to the small end t3 , the minimum spatial distance L from the contact imprint to the tooth root t4 ; The contact imprint deviation includes the sum of the large end deviation, tooth tip deviation, small end deviation, and tooth root deviation of the concave contact imprint, and the sum of the large end deviation, tooth tip deviation, small end deviation, and tooth root deviation of the convex contact imprint; Each deviation is the absolute value of the difference between the corresponding two distances; Configure the axial installation error of the pinion and the axial installation error of the gear according to the preset step size, specifically including: Construct the Jacobian matrix J based on the first contact imprint deviation and the second contact imprint deviation of the j-th iteration j -1 : Among them, ΔL Ao1 is the large-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao2 is the tip deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao3 is the small-end deviation of the concave surface contact imprint in the first contact imprint deviation, ΔL Ao4 is the root deviation of the concave surface contact imprint in the first contact imprint deviation; ΔL At1 is the large-end deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At2 is the tip deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At3 is the small-end deviation of the convex surface contact imprint in the first contact imprint deviation, ΔL At4 is the root deviation of the convex surface contact imprint in the first contact imprint deviation; ΔL Bo1 is the large-end deviation of the concave contact impression in the second contact impression deviation, ΔL Bo2 is the tip deviation of the concave contact impression in the second contact impression deviation, ΔL Bo3 is the small-end deviation of the concave contact impression in the second contact impression deviation, ΔL Bo4 is the root deviation of the concave contact impression in the second contact impression deviation; ΔL Bt1 is the large-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt2 is the tip deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt3 is the small-end deviation of the convex surface contact imprint in the second contact imprint deviation, ΔL Bt4 is the root deviation of the convex surface contact imprint in the second contact imprint deviation; Calculate the small wheel error change coefficient A for the j-th iteration through the following formula j and the large wheel error change coefficient B j : Among them, ΔL o1 is the large-end deviation of the concave surface contact imprint in the third contact imprint deviation, ΔL o2 is the tip deviation of the concave surface contact imprint in the third contact imprint deviation, ΔL o3 is the small-end deviation of the concave surface contact imprint in the third contact imprint deviation, ΔL o4 is the root deviation of the concave surface contact imprint in the third contact imprint deviation; ΔL t1 is the large-end deviation of the convex surface contact imprint in the third contact imprint deviation, ΔL t2 is the tip deviation of the convex surface contact imprint in the third contact imprint deviation, ΔL t3 is the small-end deviation of the convex surface contact imprint in the third contact imprint deviation, ΔL t4 is the root deviation of the convex surface contact imprint in the third contact imprint deviation; The axial installation error ΔP of the pinion in the j-th iteration is calculated by the following formula j :[[]]END]] ΔP j = ΔP j-1 + A j-1 ·ΔΔP Wherein, ΔΔP is the iteration step size of the axial installation error of the pinion; Calculate the large wheel axial installation error ΔG in the j-th iteration through the following formula j : ΔG j = ΔG j-1 + B j-1 · ΔΔG Wherein, ΔΔG is the iteration step size of the axial installation error of the gear.

5. A terminal, Characterized in that, It includes: A memory for storing the hypoid gear assembly optimization program; A processor for implementing the steps of the hypoid gear assembly optimization method as described in any one of claims 1-3 when executing the hypoid gear assembly optimization program.

6. A computer-readable storage medium, Characterized in that, The readable storage medium stores a hypoid gear assembly optimization program, and when the hypoid gear assembly optimization program is executed by a processor, it implements the steps of the hypoid gear assembly optimization method as described in any one of claims 1-3.

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