A gear electroplating tooling design method based on electric field intelligent optimization simulation

Abstract

The application discloses a kind of based on electric field intelligent optimization simulation gear electroplating tooling design method, belong to gear electroplating tooling design field.For the problems such as low precision, long cycle, high cost and poor universality of existing tooling design relying on experience trial and error, the method is through the closed loop process of "modeling-computing-analysis-optimization-iteration", constructs the three-dimensional model including cathode gear, main anode, auxiliary anode and electrolytic cell, defines material and boundary attribute, after fine mesh division, obtains current density distribution by electric field simulation calculation, directional optimization auxiliary anode, iteration to current density non-uniformity reaches standard, outputs tooling model and verifies.The application effectively eliminates electroplating "tip effect" and "shielding effect", improves plating uniformity, shortens development cycle, reduces cost, adapts to various gears and electroplating materials, can be popularized to complex three-dimensional curved surface metal parts, and has strong practicability.

Description

Technical Field

[0001] This invention belongs to the field of gear electroplating tooling design technology, specifically involving a gear electroplating tooling design method based on intelligent electric field optimization simulation. It is applicable to the precise design of auxiliary anodes and other tooling in various gear electroplating processes, and can be extended to the design of electroplating tooling for metal parts with complex three-dimensional curved surfaces. Background Technology

[0002] As a core component in the field of mechanical transmission, the surface properties of gears directly determine the service life and operational stability of mechanical equipment. Electroplating is a key processing method to improve the surface hardness, wear resistance, and corrosion resistance of gears. During the gear electroplating process, due to the complex geometry and large curvature differences of the gear tooth tip and root, "point effect" and "shading effect" are easily generated, resulting in uneven electric field distribution on the gear surface. This leads to excessively thick plating at the tooth tip and insufficiently thin plating at the tooth root, and even defects such as plating nodules and peeling, seriously affecting the processing quality and service performance of the gear.

[0003] Currently, the design of gear electroplating fixtures (especially auxiliary anodes) mainly relies on the experience of technicians for trial and error. This involves an iterative cycle of "designing the fixture - trial plating - measuring the plating thickness - adjusting the fixture" to optimize the tooling. This traditional design method has several drawbacks: First, it has low design accuracy, making it difficult to precisely match the electric field distribution requirements of the complex surface of gears, and failing to fundamentally solve the problem of poor plating uniformity. Second, it has a long development cycle, with repeated trial plating and fixture adjustments consuming a significant amount of time. Third, it has high production costs, with material losses and increased labor costs during trial plating, and unqualified plating leading to the scrapping of gear products. Fourth, it has poor versatility; for gears with different modules, numbers of teeth, or different electroplating requirements, the fixture needs to be redesigned through trial and error, resulting in poor adaptability.

[0004] Therefore, there is an urgent need for a gear electroplating tooling design method that can accurately control the electric field distribution on the gear surface, shorten the tooling development cycle, reduce production costs, and has wide applicability, in order to overcome the shortcomings of existing technologies. Summary of the Invention

[0005] To address the technical problems of existing gear electroplating tooling designs that rely on experience-based trial and error, resulting in low accuracy, long cycles, high costs, and poor versatility, this invention provides a gear electroplating tooling design method based on intelligent electric field optimization simulation. Through intelligent electric field simulation and iterative optimization, the method achieves precise tooling design, solves the core problem of poor uniformity in gear electroplating coatings, and simultaneously improves design efficiency, reduces costs, and expands the scope of application.

[0006] To address the aforementioned technical problems, this invention provides the following technical solution: The core technical solution of this invention is to achieve precise design of gear electroplating fixtures through a closed-loop process of "modeling-calculation-analysis-optimization-iteration," with intelligent electric field optimization simulation as the core. The specific steps are as follows, fully corresponding to the technical features of claims 1 to 9 of this invention:

[0007] 1. Establish a geometric model A three-dimensional integral geometric model is constructed, comprising a cathode gear, a main anode, an auxiliary anode, and an electrolytic cell. This model is adaptable to cathode gears with different modules and numbers of teeth, and the initial structural parameters (such as shape, size, and initial installation position) of the main and auxiliary anodes can be adjusted according to electroplating requirements (such as different plating materials and thickness requirements). During the modeling process, the geometric features of key parts such as the tooth tip, tooth root, and tooth surface must be accurately reproduced to ensure that the model is consistent with the actual parts and tooling structure.

[0008] 2. Define material and boundary properties Material properties and boundary conditions are defined for the established three-dimensional overall geometric model: the electrolyte is set as a conductive medium with a specific conductivity, which can be flexibly adjusted according to the specific electroplating process requirements; the main anode and auxiliary anode are made of good conductor materials to ensure effective current conduction; the cathode gear is made of the gear substrate to be electroplated, which is also a good conductor. In the boundary condition settings, a process current (determined according to the actual electroplating process parameters) is applied to the main anode, and the cathode gear is set to zero potential. At the same time, reaction kinetic formulas matching the electroplating process are configured on the cathode and anode surfaces. The reaction kinetic formulas are matched with the electroplating material of the cathode gear, which includes any one of copper, nickel, and chromium.

[0009] 3. Refined grid division The three-dimensional overall geometric model is meshed using a mesh generation tool. To ensure the accuracy of the electric field calculation, the mesh is refined in areas with large curvature changes, such as the tooth tip and tooth root of the gear. The mesh refinement also includes the transition between the tooth surface and the tooth profile. The mesh generation accuracy meets the requirement that the electric field calculation error does not exceed 5%. For areas with small curvature changes, such as the electrolytic cell and the main anode, a relatively sparse mesh can be used to balance calculation accuracy and calculation efficiency.

[0010] 4. Intelligent Optimization Calculation of Electric Field The meshed model is imported into the electric field simulation software, and the Laplace equation of the electric field is solved using a steady-state solver. The current density distribution cloud map and specific values ​​on the gear surface are obtained through intelligent calculation, which accurately reflects the electric field distribution state of various parts of the gear and provides data support for subsequent optimization.

[0011] 5. Results Analysis Based on the results of intelligent electric field optimization calculations, regions with excessively high current density on the gear surface (mainly the tooth tip, affected by the tip effect) and regions with excessively low current density (mainly the tooth root, affected by the shielding effect) are identified to assess the uniformity of the coating on the gear surface. At the same time, based on Faraday's law and combined with current density distribution data, the coating thickness at different parts of the cathode gear surface is calculated to further verify whether the coating uniformity meets the process requirements.

[0012] 6. Tooling-oriented optimization To address the uneven current density distribution identified in the results analysis, the auxiliary anode was optimized in a targeted manner: for areas with excessively low current density, the auxiliary anode was adjusted to be closer to the cathode gear, or the effective conductive surface area of ​​the auxiliary anode was increased to enhance the electric field strength in that area; for areas with excessively high current density, the auxiliary anode was moved away from the cathode gear, or the effective conductive surface area of ​​the auxiliary anode was reduced. Alternatively, an insulating shielding layer could be added to the corresponding area of ​​the auxiliary anode to weaken the electric field strength in that area. The adjustment of the auxiliary anode was quantitative, with the distance between the auxiliary anode and the cathode gear adjusted to an accuracy of no less than 0.1 mm, and the effective conductive surface area of ​​the auxiliary anode adjusted within the range of 50% to 150% of the initial area.

[0013] 7. Model Iterative Update The optimized auxiliary anode structure parameters are updated into the 3D overall geometric model established in step 1. Steps 2 (defining material and boundary properties), 3 (refining the mesh), and 4 (intelligent electric field optimization calculation) are repeated to complete one model iteration. The number of model iterations should not exceed 10. If the threshold requirement is not met after 10 iterations, return to step 6 to readjust the tooling optimization scheme.

[0014] 8. Threshold Determination A current density non-uniformity threshold is set, which is set to ±10%~±15% and can be flexibly adjusted according to the specific gear electroplating process requirements. The current density distribution results on the gear surface obtained after each iteration are compared with the set threshold to determine whether the process requirements are met.

[0015] 9. Output the final model When the non-uniformity of the current density distribution on the working tooth surface of the gear is lower than a set threshold, the iteration process is terminated, and the final gear electroplating fixture design model (including optimized auxiliary anode, main anode, and electrolytic cell structural parameters) is output. Furthermore, the method includes a step of verifying the output final fixture design model: applying the final fixture model to the actual gear electroplating process, detecting the uniformity of the coating thickness on the gear surface, and ensuring that the coating thickness fluctuation range does not exceed ±1μm.

[0016] 10. Method universality The design method described in this invention can be extended to the design of electroplating fixtures for metal parts with complex three-dimensional curved surfaces, including cams, spline shafts, and irregular gears. The fixture can be accurately designed simply by adjusting the three-dimensional geometric model according to the geometric characteristics of the specific parts, and it has strong versatility.

[0017] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages compared with the prior art:

[0018] 1. Solving core process defects: Through intelligent optimization simulation and iterative adjustment of electric field, the "tip effect" and "shading effect" in the gear electroplating process are effectively eliminated, so that the current density distribution in complex parts such as gear tooth tip and tooth root is uniform, avoiding defects such as excessively thick coating and nodule formation or excessively thin coating and peeling, significantly improving the uniformity of gear coating, thereby improving the service performance and service life of gear.

[0019] 2. Improve design accuracy: Applying intelligent electric field simulation technology to tooling design breaks through the limitations of traditional trial-and-error methods. It can accurately predict the electric field distribution and coating thickness on the gear surface, enabling directional and quantitative optimization of tooling such as auxiliary anodes. This significantly improves the accuracy of tooling design and meets the personalized needs of different gears and different electroplating processes.

[0020] 3. Shorten development cycle and reduce production costs: The traditional physical trial-and-error cycle of "production-trial plating-measurement-adjustment" is transformed into a virtual cycle of "intelligent calculation-optimization-iteration". This eliminates the need for repeated trial production of tooling and trial plating of gears, significantly shortening the tooling development cycle. At the same time, it reduces material waste, labor costs and the scrap rate of defective products, greatly reducing the development cost of gear electroplating tooling and subsequent production and manufacturing costs.

[0021] 4. Enhanced process stability and product consistency: The tooling designed based on precise calculation results can stably control the electric field distribution during the gear electroplating process, which greatly improves the stability of the electroplating process, ensures that the uniformity of the coating thickness of gears produced in batches meets the standards, solves the problem of large product quality fluctuations in traditional processes, and improves product qualification rate and consistency.

[0022] 5. High versatility and wide applicability: This method can be adapted to gears with different modules and numbers of teeth, and is compatible with various electroplating materials such as copper, nickel, and chromium. At the same time, it can be widely applied to the electroplating tooling design of metal parts with complex three-dimensional curved surfaces such as cams, spline shafts, and irregular gears. There is no need to develop new design methods for different parts. It has a wide range of applications and is highly practical.

[0023] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0024] Figure 1 This is a flowchart of a gear electroplating tooling design method based on intelligent electric field optimization simulation according to the present invention.

[0025] Figure 2 This is a schematic diagram of the initial geometric model of a gear electroplating fixture, which is a design method for gear electroplating fixtures based on intelligent electric field optimization simulation according to the present invention.

[0026] Figure 3 The image shows the current density distribution and thickness distribution of the gear surface in the initial state (before optimization) of the gear electroplating fixture design method based on electric field intelligent optimization simulation of the present invention. From left to right, 3-1 is the current density distribution A / dm2, and 3-2 and 3-3 are the thickness distribution μm.

[0027] Figure 4 This is a schematic diagram of the optimized auxiliary anode and tooling layout of the gear electroplating fixture design method based on intelligent electric field optimization simulation of the present invention.

[0028] Figure 5 The image shows the optimized current density and thickness distribution of the gear surface (after optimization) according to the gear electroplating fixture design method based on electric field intelligent optimization simulation of the present invention. From left to right, 5-1 represents the current density distribution (A / dm2), and 5-2 and 5-3 represent the thickness distribution (μm). Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] It should be noted that the terms "vertical," "horizontal," "up," "down," "left," "right," and similar expressions used in this article are for illustrative purposes only and do not represent the only possible implementation.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to limit the invention; the term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0032] To make the technical solution, purpose, and beneficial effects of the present invention clearer, the following description is provided in conjunction with the appendix. Figure 1-5 The present invention will be further described in detail with reference to specific embodiments. It should be noted that the embodiments described herein are only for explaining the present invention and are not intended to limit the scope of protection of the present invention. All equivalent modifications made based on the technical solutions of the present invention fall within the scope of protection of the present invention.

[0033] Example 1: Design of a copper electroplating fixture for a gearbox gear This embodiment focuses on the copper plating process of a certain type of gearbox gear (module 2.5, number of teeth 28). The electroplating fixture is designed using the method of this invention, and the specific steps are as follows:

[0034] 1. Establish a geometric model Using 3D modeling software, a 3D overall geometric model of the gearbox, including the gear (cathode), main anode (copper plate), auxiliary anode (copper), and electrolytic cell, was constructed. The geometric dimensions of the gear tooth tip, tooth root, and tooth surface were strictly restored according to the actual part drawings. The initial shape of the auxiliary anode was set to arc, and the initial installation position was 5mm away from the gear tooth surface.

[0035] 2. Define material and boundary properties The electrolyte is set to copper sulfate electrolyte, and the conductivity is adjusted to 0.02 S / cm; the main anode and auxiliary anode are made of pure copper (good conductor), and the cathode gear is made of 45 steel substrate; the process current of the main anode is 20A, the cathode gear is set to zero potential, and the reaction kinetic formulas on the cathode and anode surfaces are matched with the copper electroplating process.

[0036] 3. Refined grid division The three-dimensional overall geometric model was meshed using a meshing tool. The mesh was refined at the tooth tip, tooth root, and the transition between the tooth surface and the tooth profile. The mesh size was set to 0.1 mm, and the mesh size for the electrolytic cell and main anode area was set to 0.5 mm. The meshing accuracy met the requirement that the electric field calculation error should not exceed 5%.

[0037] 4. Intelligent Optimization Calculation of Electric Field The mesh model was imported into the electric field simulation software, and the Laplace equation of the electric field was solved using the steady-state solver. After calculation, the current density distribution cloud map on the gear surface was obtained, showing that the current density at the tooth tip is 22.3 A / dm², and the current density at the tooth root is 5.7 A / dm², with significant differences in distribution.

[0038] 5. Results Analysis Analysis shows that the current density at the tooth tip is too high due to the tip effect, while the current density at the tooth root is too low due to the shielding effect, resulting in extremely poor plating uniformity. According to Faraday's law, the plating thickness at the tooth tip is expected to be 18 μm, and the plating thickness at the tooth root is expected to be 4 μm, which far exceeds the 10±1 μm range required by the electroplating copper process.

[0039] 6. Tooling-oriented optimization To address the aforementioned issues, the auxiliary anodes were directionally optimized: the auxiliary anodes in the area corresponding to the tooth tip were moved away from the gear, with the spacing adjusted to 7mm (adjustment accuracy 0.1mm), and an insulating shielding layer was added to the surface of the auxiliary anodes in this area to reduce the effective conductive surface area to 80% of the initial area; the auxiliary anodes in the area corresponding to the tooth root were moved closer to the gear, with the spacing adjusted to 3mm, increasing the effective conductive surface area to 120% of the initial area. Optimization was achieved using a quantitative adjustment method.

[0040] 7. Model Iterative Update The optimized auxiliary anode structure parameters are updated to the three-dimensional overall geometric model. The material and boundary properties are redefined, fine mesh generation and intelligent electric field optimization calculation are performed to complete the first iteration. The above iteration process is repeated until the current density distribution on the gear surface tends to be uniform after 4 iterations.

[0041] 8. Threshold Determination In this embodiment, the current density non-uniformity threshold is set at ±15% (which meets the requirements of the copper plating process). After the fourth iteration, the maximum current density on the gear surface is 11.9A / dm², the minimum current density is 9.8A / dm², and the non-uniformity is 10.1%, which is lower than the set threshold and meets the process requirements.

[0042] 9. Output the final model and validate it. The iteration was terminated, and the final gear electroplating fixture design model was output (including the optimized auxiliary anode position, size, and insulation shielding layer configuration). The fixture model was applied to the actual copper electroplating process, and the coating thickness on the gear surface was tested. The results showed that the coating thickness at the tooth tip, tooth root, and tooth surface was stable within the range of 10±0.8μm, with a fluctuation range of no more than ±1μm, which was verified as qualified.

[0043] This embodiment, through the gear electroplating fixture designed by the method of the present invention, successfully solves the problem of poor coating uniformity during the copper electroplating process of the gearbox gear. The fixture development cycle is shortened by 60% compared with the traditional method, the production cost is reduced by 45%, and the product qualification rate is increased to over 98%, fully demonstrating the practicality and superiority of the present invention.

[0044] Example 2: Design of a nickel plating fixture for an irregularly shaped gear This embodiment focuses on the electroplating nickel process of a certain irregular gear (module 3.0, number of teeth 22). The electroplating fixture is designed using the method of this invention, and the steps are basically the same as in Embodiment 1, with the following differences:

[0045] 1. The electrolyte is nickel sulfate electrolyte, with conductivity adjusted to 0.018 S / cm, and the reaction kinetic formula is adapted to the nickel plating process;

[0046] 2. The current density non-uniformity threshold is set to ±12%, the spacing between the auxiliary anode and the gear is adjusted to 0.1 mm, and the effective conductive surface area is adjusted to 60%~140% of the initial area;

[0047] 3. After five iterations of optimization, the non-uniformity of the current density on the gear surface was reduced to 9.5%, which is lower than the set threshold. In actual electroplating verification, the coating thickness was stable within the range of 12±1μm, which meets the requirements of the nickel plating process for irregular gears.

[0048] Furthermore, applying the method of this invention to the design of cam electroplating chromium fixtures, by adjusting the three-dimensional geometric model and process parameters, also achieved a significant improvement in the uniformity of the cam surface plating, further demonstrating the versatility and wide applicability of the method of this invention.

[0049] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Anyone skilled in the art can make various modifications and alterations without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be determined by the claims.

Claims

1. A method for designing gear electroplating tooling based on intelligent electric field optimization simulation, characterized in that, Includes the following steps: (1) Establishing a geometric model: Constructing a three-dimensional overall geometric model including the cathode gear, main anode, auxiliary anode and electrolytic cell; (2) Define material and boundary properties: Set the electrolyte as a medium with a specific conductivity, the main anode and auxiliary anode as good conductors, apply the process current to the main anode, set the cathode gear to zero potential, and configure the reaction kinetic formula on the cathode and anode surfaces; (3) Refined mesh generation: The three-dimensional overall geometric model is meshed, and the mesh is refined in areas with large curvature changes, such as the tooth tip and tooth root of the gear; (4) Intelligent optimization calculation of electric field: The steady-state solver is used to solve the Laplace equation of electric field to obtain the current density distribution cloud map and specific values ​​on the gear surface; (5) Results analysis: Identify areas with excessively high and low current density on the gear surface, evaluate the uniformity of the coating, and calculate the coating thickness on the cathode gear surface according to Faraday's law; (6) Tooling orientation optimization: For areas with low current density, adjust the corresponding auxiliary anode to make it closer to the cathode gear or increase the effective conductive surface area of ​​the auxiliary anode; for areas with high current density, adjust the corresponding auxiliary anode to make it farther away from the cathode gear, reduce the effective conductive surface area of ​​the auxiliary anode, or add an insulating shielding layer in the corresponding area. (7) Model Iteration Update: Update the optimized auxiliary anode structure parameters to the three-dimensional overall geometric model described in step (1), and repeat the operations from step (2) to step (4); (8) Threshold determination: Set a threshold for current density non-uniformity, and compare the current density distribution result on the gear surface obtained after iteration with the threshold; (9) Output the final model: When the non-uniformity of the current density distribution on the working tooth surface of the gear is lower than the threshold, the iteration is terminated and the final gear electroplating fixture design model is output.

2. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (1), the three-dimensional overall geometric model can be adapted to cathode gears with different modules and different numbers of teeth, and the initial structural parameters of the main anode and auxiliary anode can be adjusted according to the electroplating requirements.

3. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (2), the conductivity of the electrolyte can be adjusted according to the specific electroplating process requirements, and the reaction kinetic formula is matched with the electroplating material of the cathode gear. The electroplating material includes any one of copper, nickel, and chromium.

4. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (3), the area for mesh refinement also includes the transition between the gear tooth surface and the tooth profile, and the mesh division accuracy meets the requirement that the electric field calculation error does not exceed 5%.

5. The gear electroplating tooling design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (8), the current density non-uniformity threshold is set to ±10%~±15%, which can be flexibly adjusted according to the specific gear electroplating process requirements.

6. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (6), the auxiliary anode is adjusted using a quantitative adjustment method. The adjustment accuracy of the distance between the auxiliary anode and the cathode gear is not less than 0.1 mm, and the adjustment range of the effective conductive surface area of ​​the auxiliary anode is 50% to 150% of the initial area.

7. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, In step (7), the number of model iterations is no more than 10. When the number of iterations reaches 10 and the threshold requirement is still not met, return to step (6) to readjust the tooling optimization scheme.

8. The gear electroplating tooling design method based on intelligent electric field optimization simulation according to claim 1, characterized in that, The method also includes a step of verifying the output final tooling design model: applying the final tooling model to the actual gear electroplating process, detecting the uniformity of the coating thickness on the gear surface, and ensuring that the coating thickness fluctuation range does not exceed ±1μm.

9. The gear electroplating fixture design method based on intelligent electric field optimization simulation according to any one of claims 1 to 8, characterized in that, The method can be extended to the design of electroplating fixtures for metal parts with complex three-dimensional curved surfaces, including cams, spline shafts, and irregular gears.

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