A processing method suitable for wheel lapping

Abstract

The application relates to a processing method suitable for wheel turning, which comprises the following steps: collecting the tread data of a wheel to be turned and establishing an actual tread profile model of the wheel; comparing the actual tread profile model with standard profiles in a preset standard tread profile database, and establishing a turning amount model of the wheel according to the comparison result; respectively converting each turning amount sub-model in the turning amount model into a turning amount calculation logic expressed in the form of a wheel turning amount function; adding a judgment logic and a processing strategy hierarchical logic in a processing program; automatically calculating the required turning amount corresponding to each influencing factor by using the calculation logic, determining the final turning amount of the wheel in this time from the multiple required turning amounts according to the judgment logic, and determining the processing strategy and executing the turning processing according to the processing strategy hierarchical logic. The application effectively reduces the wheel turning wear and the wheel turning processing time, and effectively prolongs the service life of the wheel and improves the processing efficiency.

Description

Technical Field

[0001] This invention relates to a processing method suitable for wheel turning and repair, and relates to the field of rail transit vehicle wheel repair technology. Background Technology

[0002] Wheels are a critical component of the running gear of rail transit vehicles. During long-term operation, wheel treads can develop wear, abrasions, peeling, and polygonal damage, leading to increased vehicle vibration, decreased running quality, and even jeopardizing driving safety. Wheels require regular inspection, including checking wheel diameter, flange thickness, flange height, flange angle, wheel tread runout, and overall tread condition. Based on this inspection, wheels are then turned to restore their geometric shape.

[0003] For example, Chinese Patent No. CN115268365B discloses a wheel turning method, apparatus, equipment, and computer-readable storage medium. The method includes: collecting the initial flange thickness and initial tread thickness of the wheel; determining, based on the initial flange thickness and initial tread thickness, the turning feed rate and turning cycle corresponding to the maximum total mileage under different turning conditions and turning cycles, and turning the wheel. Chinese Patent No. CN119882604A discloses a digital control method and system for a non-dismounting wheel lathe. This method collects working data from the lathe equipment through sensors and a data acquisition device, archives the cutting data of the corresponding wheel within the lathe equipment to obtain wheel parameter information, and constructs an equipment health management model based on the wheel status dataset, working time, and historical fault statistics. The equipment health management model is used to predict faults in the lathe equipment.

[0004] According to existing patented technologies, existing wheel turning methods mainly involve collecting the initial flange thickness and initial tread thickness of the wheel; based on the initial flange thickness and initial tread thickness, determining the total mileage of the wheel when the tread thickness is cut to less than the minimum thickness under different turning feed rates and different turning cycles; the turning feed rate is the amount of tread thickness cut in each turning operation; the turning cycle is the mileage of the wheel between two adjacent turning operations; and the wheel is turned using the turning feed rate and turning cycle corresponding to the maximum total mileage.

[0005] Traditional wheel turning methods often employ a fixed contour approach, meaning that regardless of the actual wear condition of the wheel, machining is performed based on experience and a uniform standard tread shape. This method has the following drawbacks: 1. Low cutting efficiency: To avoid cutting vibration and tool wear risks, traditional processes use conservative cutting parameters (low feed rate, small depth of cut), resulting in excessively long turning times per cycle and impacting vehicle turnaround efficiency. 2. Significant over-machining issues: Current methods often use a one-cut standard contour repair strategy, cutting according to a uniform contour regardless of the actual wear condition of the wheel. This results in the removal of a large amount of still usable metal, significantly shortening the wheel's lifespan. In some projects, it has been found that over-machining of wheels prevents them from reaching the major overhaul replacement stage, leading to premature replacement in batches and significant economic losses.

[0006] Therefore, there is an urgent need for a new turning method that can improve cutting efficiency and fundamentally prevent over-machining. Summary of the Invention

[0007] The technical problem to be solved by this invention is to overcome the shortcomings of existing wheel turning methods, solve the problem of excessively long turning time per turn, which affects vehicle turnover efficiency and causes a large amount of still usable metal to be removed, and propose a processing method suitable for wheel turning.

[0008] To solve the above-mentioned technical problems, the present invention proposes a processing method suitable for wheel turning repair, comprising the following steps:

[0009] S1. Collect the tread data of the wheel to be repaired and establish the actual tread shape model of the wheel;

[0010] S2. Compare the actual tread shape model with the standard profile in the preset standard tread profile database, and establish the wheel resurfacing amount model based on the comparison results; the resurfacing amount model includes the resurfacing quantum model corresponding to each of the multiple influencing factors affecting the wheel resurfacing amount.

[0011] S3. Transform each turning quantum model in the turning quantity model into a turning quantity calculation logic expressed in the form of wheel turning quantity function, and integrate each calculation logic into the wheel processing program;

[0012] S4. Add decision logic and processing strategy hierarchical logic to the processing program;

[0013] S5. Input the measured wheel condition detection data into the machining program, use the calculation logic to automatically calculate the required turning amount corresponding to each influencing factor, and determine the final turning amount of the wheel from multiple required turning amounts according to the judgment logic. Determine the machining strategy according to the machining strategy classification logic and execute the turning machining.

[0014] The beneficial effects of this invention are as follows: In determining the amount of wheel turning, this invention uses a turning model instead of personal experience; in making turning decisions, it uses logical formulas instead of repeated human trials; in setting machining process parameters, it uses different cutting parameters matched according to the amount of wheel turning instead of fixed cutting parameters; using the method of this invention for wheel turning effectively reduces wheel turning wear and wheel turning processing time, and effectively improves wheel service life and processing efficiency. Attached Figure Description

[0015] The invention will now be further described with reference to the accompanying drawings.

[0016] Figure 1 This is a general flowchart of the processing method applicable to wheel turning repair according to the present invention;

[0017] Figure 2 This is a schematic diagram of the tread profile curve of an embodiment of the present invention;

[0018] Figure 3 This is a schematic diagram of the flange thickness turning amount model in an example of the present invention;

[0019] Figure 4 This is a schematic diagram of a high-returning-amount model for wheel rims, as exemplified by this invention.

[0020] Figure 5 This is a schematic diagram of the wheel damage repair quantity model in an example of the present invention.

[0021] In the attached image:

[0022] 1. Wheel tread profile before resurfacing; 2. Standard wheel tread profile; 3. Wheel tread damage. Detailed Implementation

[0023] The present invention will now be described in detail with reference to the accompanying drawings, which will make the technical approach and operation steps of the present invention clearer.

[0024] Please see Figure 1 A machining method suitable for wheel turning is provided, including the following steps:

[0025] S1. Collect the tread data of the wheel to be repaired and establish the actual tread shape model of the wheel.

[0026] In the description of this invention, collecting tread data of the wheel to be turned and establishing an actual tread shape model of the wheel includes:

[0027] S11. Arrange the tread profile measuring instrument along the circumference of the wheel and continuously scan the wheel tread to collect the contour point cloud data of the wheel tread at different positions and obtain the tread shape curve.

[0028] S12. Generate the actual tread shape model of the wheel based on the tread shape curve obtained from the detection.

[0029] Specifically, a tread profile measuring instrument is used to detect the shape curve of the wheel tread of the operating vehicle, obtaining the wheel tread profile under different conditions, and forming the tread shape curve, such as... Figure 2 As shown, the horizontal axis represents the rim width, and the vertical axis represents the flange height.

[0030] S2. Compare the actual tread shape model with the standard profiles in the preset standard tread profile database, and establish the wheel rework amount model based on the comparison results. The rework amount model includes the rework quantum model corresponding to each of the multiple influencing factors affecting the wheel rework amount.

[0031] Specifically, the actual tread shape model obtained in step S1 is compared with the standard tread profile to obtain a refining amount model based on the wheel flange thickness, flange height, and wheel damage. The flange thickness refining amount model is shown below. Figure 3 The model for high-level wheel flange turning is shown below. Figure 4 The wheel damage repair quantity model is shown below. Figure 5 .

[0032] in, Figure 3 middle , The tread profile, wheel flange thickness, and wheel diameter are measured using a tread profile measuring instrument. , The flange thickness and wheel diameter are specified in the standard profile as defined in TB / T 449.

[0033] Figure 4 middle , The tread profile, wheel flange height, and wheel diameter are measured using a tread profile measuring instrument. , The flange height and diameter are those specified in the standard profile defined in TB / T 449.

[0034] Figure 5 middle The wheel diameter is measured using a tread profile measuring instrument. s represents the standard profile wheel diameter specified in TB / T 449 standard, and s represents the wheel damage depth.

[0035] Figures 3-5The standard wheel tread profile is the standard profile in the TB / T 449 standard. For example, the LM thin flange profile commonly used in urban rail transit is specified in TB / T 449 as having nine standard profiles with different flange thicknesses, including LM-31.5, LM-31, LM-30, LM-29.5, LM-29, LM-28, LM-27.5, LM-27, and LM-26. When establishing a wheel refinishing model, the standard profile that best matches the wheel condition is selected. The selection principles include the following aspects:

[0036] 1. Based on the principle of selecting the flange thickness downwards, the specific requirements are shown in Table 1.

[0037] Table 1. Requirements for Selecting Standard Profiles

[0038] Rim thickness ＞31.5 31~31.5 30~31 29.5~30 29~29.5 28~29 27.5~28 27~27.5 27 Select standard silhouette LM-31.5 LM-31 LM-30 LM-29.5 LM-29 LM-28 LM-27.5 LM-27 LM-26

[0039] 2. The selected standard profile must be fully covered by the actual measured wheel tread profile (i.e., there will be no uncut areas after wheel turning). If it is not fully covered, the selected standard profile must be downgraded by one level.

[0040] Before wheel resurfacing, the condition of the train wheels must be inspected to determine whether resurfacing is necessary. Factors affecting resurfacing include wheel flange height, wheel flange thickness, wheel runout, and tread damage.

[0041] In the description of this invention, comparing the actual tread shape model with the standard profile in a preset standard tread profile database, and establishing a wheel refinishing amount model based on the comparison results includes:

[0042] S21. Select the standard profile corresponding to the current wheel from the preset standard tread profile database.

[0043] In the description of this invention, selecting the standard profile corresponding to the current wheel from a preset standard tread profile database includes:

[0044] S211. Based on the measured wheel flange thickness, select the standard profile from the standard tread profile database that is closest to and less than or equal to the measured wheel flange thickness.

[0045] S212. If the selected standard profile exceeds the profile range of the actual tread shape model of the current wheel, then select a standard profile with a lower flange thickness.

[0046] S22. Compare the selected standard profile with the actual tread shape model of the wheel to obtain the difference in rim thickness and rim height.

[0047] S23. Establish a quantum model for rim thickness repair based on the rim thickness difference value.

[0048] In the description of this invention, establishing a quantum model for rim thickness refinishing based on the rim thickness difference includes:

[0049] S231. Obtain the actual flange thickness before wheel turning and the standard flange thickness corresponding to the standard profile.

[0050] S232. Based on the thickness difference between the actual rim thickness and the standard rim thickness, the thickness difference is used as the model input and the wheel diameter turning amount is used as the model output to establish the correspondence between the rim thickness difference and the diameter turning amount, thus obtaining the rim thickness turning quantum model.

[0051] S24. Establish a quantum model for high flange turning based on the flange height difference.

[0052] In the description of this invention, establishing a quantum model for high-level wheel rim refinishing based on the rim height difference includes:

[0053] S241. Obtain the actual flange height before wheel turning and the standard flange height corresponding to the standard profile.

[0054] S242. Based on the difference between the actual rim height and the standard rim height, the rim height difference is used as the model input and the wheel diameter turning amount is used as the model output. The correspondence between the rim height difference and the diameter turning amount is established to obtain the rim height turning quantum model.

[0055] S25. Based on the tread damage depth measured by the tread profile measuring instrument, establish a quantum model for tread damage repair.

[0056] In the description of this invention, the establishment of a quantum model for tread damage repair based on the tread damage depth measured by a tread profile measuring instrument includes:

[0057] S251, Obtain the damage depth of the wheel tread.

[0058] S252. Using damage depth as model input and wheel diameter rework amount as model output, establish the correspondence between damage depth and diameter rework amount to obtain a quantum model for tread damage rework.

[0059] S26. Based on the tread runout value measured by the tread profile measuring instrument, establish a quantum model for tread runout repair.

[0060] In the description of this invention, establishing a quantum model for tread runout repair based on the tread runout value measured by a tread profile measuring instrument includes:

[0061] S261. Obtain the runout value of the wheel tread.

[0062] S262. Using the runout value as the model input and the wheel diameter turning amount as the model output, establish the correspondence between the runout value and the diameter turning amount to obtain the tread runout turning quantum model.

[0063] S3. Transform each turning quantum model in the turning quantity model into a turning quantity calculation logic expressed in the form of wheel turning quantity function, and integrate each calculation logic into the wheel processing program.

[0064] Specifically, to apply the turning amount model obtained in step S2 to on-site operations, the turning amount model is converted into a function representing the turning amount per millimeter of the wheel before being integrated into the machining program. Simultaneously, correction coefficients and finishing allowances are added, which can be flexibly adjusted based on feedback from actual on-site turning conditions. The function represents the turning amount per millimeter of wheel flange height, flange thickness, wheel runout, and tread damage. , , , .like Figure 1 As shown, once the turning amount is determined, the machining program corresponding to the cutting amount is executed according to different influencing factors (rim height, rim thickness, wheel runout, tread damage). Figure 1 (①, ②, ③, ④ in the text).

[0065] In the description of this invention, each turning quantum model in the turning amount model is transformed into a turning amount calculation logic expressed in the form of a wheel turning amount function, and each calculation logic is integrated into the wheel processing program, including:

[0066] S31. Set the corresponding ratio coefficient and fine-tuning margin for each of the turning quantum models in the turning quantity model.

[0067] S32. Based on the input parameters, ratio coefficients, and finishing margins of each refinishing quantum model, construct the wheel refinishing quantity function expression corresponding to each refinishing quantum model.

[0068] Specifically, wheel flange thickness and wheel turning work. :

[0069] ;

[0070] in, This is the ratio coefficient. To repair the thickness of the front wheel flange, For standard profile rim thickness, To increase the wheel flange thickness by 1mm, the wheel turning allowance is increased. The relevant parameters are obtained from the wheel turning model and are the parameters in the turning model. , Allow for a margin of error in the finishing touches.

[0071] Wheel flange height wheel turning amount :

[0072] ;

[0073] in, This is the ratio coefficient. To repair the high front wheel flange, For standard profile rim height, To reduce the wheel flange height by 1mm, the wheel turning amount is reduced. The relevant parameters are obtained from the wheel turning model and are the parameters in the turning model. , Allow for a margin of error in the finishing touches.

[0074] Wheel tread damage repair amount :

[0075] ;

[0076] in, This is the ratio coefficient. The depth of wheel damage. Allow for a margin of error in the finishing touches.

[0077] Wheel tread runout repair measurement :

[0078] ;

[0079] in, This is the ratio coefficient. The movement of the wheel tread. Allow for a margin of error in the finishing touches.

[0080] The above , These are the flange thickness and flange height corresponding to the standard profile in the TB / T449 standard.

[0081] S33. Embed the function expressions into the wheel machining program in the form of program statements.

[0082] S4. Add decision logic and processing strategy hierarchical logic to the processing program.

[0083] Specifically, the amount of wheel turning work. , , , The function formula is incorporated into the wheel turning program, and a judgment logic is added to the program. Before wheel turning, the wheel tread is inspected, and the corresponding value is set ( , , , Inputting s, t) into the machine tool, the program automatically calculates and determines the final turning amount of the wheel. (Select the maximum value). An example of the processing procedure is as follows:

[0084] “N20K1=1

[0085] N30a=0.5

[0086] N40

[0087] N50

[0088] N60

[0089] N70

[0090] ...

[0091] N… =MAXVAL( , ); △x = max( , )

[0092] N… =MAXVAL( , ); △x = max(previous result, )

[0093] N… =MAXVAL( , ); △x = max(previous result, )

[0094] ..."

[0095] Based on the characteristics of the enterprise's machine tools, tooling, cutting tools, and on-site conditions, the wheel turning work is classified into different levels. Different levels of turning work are achieved by using different cutting cycles to keep the depth of cut within a certain range (1.5mm to 2.5mm) for each cycle. This ensures the stability of wheel turning work while minimizing the number of passes. At the same time, the turning work is decomposed into a defect elimination part and a profile restoration part. The two parts can be matched with different cutting parameters. The former uses high feed roughing and the latter uses low feed finishing to achieve a refined improvement in processing efficiency.

[0096] In the description of this invention, the addition of decision logic and processing strategy hierarchical logic to the processing procedure includes:

[0097] S41. Set the turning amount level classification rule. The level classification rule divides the turning amount into multiple consecutive numerical intervals. Each numerical interval corresponds to a different number of roughing passes.

[0098] S42. Set the calculation rules for the roughing depth of cut and finishing allowance for each roughing operation, and the corresponding rules for matching the roughing feed rate according to the roughing depth of cut.

[0099] If the wheel turning measurement The machining strategy is divided into five levels: (0–6) mm, (6–11) mm, (11–16) mm, (16–21) mm, and above 21 mm, corresponding to 1, 2, 3, 4, and 5 roughing passes for machining overturning, respectively. An example of the grading logic for the machining strategy is as follows:

[0100] “ ; This refers to the turning amount in the diameter direction. Radial turning amount

[0101] ...

[0102] IFr>10.25THEN

[0103] Leave a 0.25mm finishing allowance, and distribute the remaining cutting amount evenly.

[0104] ELSIFr>7.75THEN

[0105] Leave a 0.25mm finishing allowance, and distribute the remaining cutting amount evenly.

[0106] ELSIFr>5.25THEN

[0107] Leave a 0.25mm finishing allowance, and distribute the remaining cutting amount evenly.

[0108] ELSIFr>2.75THEN

[0109] Leave a 0.25mm finishing allowance, and distribute the remaining cutting amount evenly.

[0110] ELSE

[0111] Leave a 0.25mm finishing allowance.

[0112] END_IF;

[0113] ..."

[0114] Due to differences in wheel condition, the depth of cut varies during rough machining. To improve cutting efficiency, the roughing feed rate can be automatically matched to the different depths of cut. For example, if the feed rate is set to 0.3 when the depth of cut is 2.5mm, but the actual depth of cut is only 1.5mm, the feed rate can be increased to... , ;

[0115] CYCLE95(“CONTOUR1_1”) ,0.25,0.25,r2,0.2,9);

[0116] (Subroutine, roughing depth of cut) ), finish turning allowance X (0.25), finish turning allowance Z (0.25), rough turning feed (r2), finish turning feed (0.2), machining strategy is 9 (rough first, then finish)).

[0117] S5. Input the measured wheel condition detection data into the machining program, use the calculation logic to automatically calculate the required turning amount corresponding to each influencing factor, and determine the final turning amount of the wheel from multiple required turning amounts according to the judgment logic. Determine the machining strategy according to the machining strategy classification logic and execute the turning machining.

[0118] Specifically, during wheel turning, the wheel condition data measured on-site (rim thickness, rim height, damage, wheel runout) is input into the machine tool, which automatically calculates the wheel turning amount and determines the turning amount for this wheel turning. . Lathe repair amount Once determined, the number of tool passes and the roughing depth of cut are automatically calculated according to the program logic in step S4, and the cutting parameters for roughing and finishing are automatically selected, thereby achieving high efficiency and preventing excessive turning.

[0119] In another embodiment of the present invention, a machining system suitable for wheel turning is also provided, the system comprising:

[0120] The data acquisition module is used to collect the tread data of the wheel to be repaired and to build an actual tread shape model of the wheel.

[0121] The model building module is used to compare the actual tread shape model with the standard profile in the preset standard tread profile database, and to build the wheel rework amount model based on the comparison results; the rework amount model includes the rework quantum model corresponding to each of the multiple influencing factors affecting the wheel rework amount.

[0122] The program input module is used to convert each turning quantum model in the turning quantity model into turning quantity calculation logic expressed in the form of wheel turning quantity function, and to integrate each calculation logic into the wheel processing program;

[0123] The logic input module is used to add decision logic and processing strategy hierarchical logic to the processing program;

[0124] The actual measurement and judgment module is used to input the actual wheel condition detection data into the machining program, automatically calculate the required turning amount corresponding to each influencing factor using calculation logic, determine the final turning amount of the wheel in this case from multiple required turning amounts according to the judgment logic, determine the machining strategy according to the machining strategy classification logic, and execute the turning machining.

[0125] The following is an example of the refinishing of LM-type tread wheels in a subway project vehicle.

[0126] 1. Data acquisition and creation of wheel shape model

[0127] The wheel tread profile is measured using a wheel tread profile measuring instrument to obtain the trajectory coordinates (some coordinates are shown in Table 2), and the wheel tread profile is formed based on the trajectory coordinates.

[0128] Table 2 Tread trajectory coordinates

[0129] Serial Number X (rim width) mm Y (rim height) mm …… …… …… 47 0.5322 11.9319 48 0.5585 12.0569 49 0.6054 12.3012 50 0.6807 12.7234 …… …… ……

[0130] 2. Build a wheel turning model based on the wheel's condition.

[0131] Based on the existing wheel tread profile and the LM standard profile, a wheel turning model is established. The model is used to determine the turning amount in the wheel diameter direction for every 1mm increase in rim thickness. If the flange thickness meets the requirements, but the flange height exceeds the tolerance, the wheel turning will reduce the flange height by 1mm, and the turning amount in the diameter direction will be reduced accordingly. To eliminate wheel damage, the wheel is reworked in the diametrical direction by approximately twice the depth of the damage. To repair wheel runout exceeding tolerance, the wheel is reworked in the diametrical direction by an amount equal to the runout value.

[0132] 3. Based on wheel condition and turning model, intelligently determine wheel turning amount.

[0133] Based on on-site measurements of the wheel's condition, the wheel flange thickness was 27.5mm, flange height was 28mm, wheel damage was 0.5mm, and wheel runout was 1.2mm. These measured values ​​were then substituted into the turning allowance formula. Take 1, refinement allowance Take 0.5, select the LM28 profile according to the standard profile for processing, and the result will be automatically calculated. =4mm , , The maximum amount of turning is taken as the turning amount of this wheel, which is 4mm of machining in the diameter direction of the wheel.

[0134] It should be noted that, The initial value is set to 1. Statistical analysis is performed based on on-site wheel turning data. If no black residue appears on the wheel tread after turning, the value can be appropriately adjusted. The value is reduced; if dark skin appears frequently, the value is adjusted appropriately based on the probability and depth of dark skin appearance. The value is increased, and the amount of increase is related to the depth of skin darkness (D). .generally The value ranges from 0.9 to 1.2.

[0135] 4. Wheel turning work quantity classification and dynamic optimization of high-efficiency cutting parameters

[0136] The turning allowance for this wheel is 4mm. The machine tool automatically calculates that only one roughing operation and one finishing operation are needed to complete the wheel turning. The actual depth of the roughing operation is as follows: 1.75mm, feed rate The feed rate is 0.39 mm / rev, the finishing depth of cut is 0.25 mm, and the feed rate is 0.2 mm / rev.

[0137] After implementing the method of this invention, statistics were collected on site and compared with conventional wheel turning methods. The wheel turning wear was reduced from 0.24mm to 0.1mm, and the wheel turning processing time was shortened from 30 minutes to 18 minutes, effectively improving the wheel service life and processing efficiency. The wheel turning wear comparison is shown in Table 3.

[0138] Table 3 Comparison of wheel turning wear

[0139] category Before optimization After optimization Wheel wear and tear per 10,000 kilometers (wheel turning and repair) 0.24mm 0.1mm Wheel repair time for each wheelset 0.5h 0.3h

[0140] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A processing method suitable for wheel turning repair, characterized in that, Includes the following steps: S1. Collect the tread data of the wheel to be repaired and establish the actual tread shape model of the wheel; S2. Compare the actual tread shape model with the standard profile in the preset standard tread profile database, and establish the wheel resurfacing amount model based on the comparison results; the resurfacing amount model includes the resurfacing quantum model corresponding to each of the multiple influencing factors affecting the wheel resurfacing amount. S3. Transform each turning quantum model in the turning quantity model into a turning quantity calculation logic expressed in the form of wheel turning quantity function, and integrate each calculation logic into the wheel processing program; S4. Add decision logic and processing strategy hierarchical logic to the processing program; S5. Input the measured wheel condition detection data into the machining program, use the calculation logic to automatically calculate the required turning amount corresponding to each influencing factor, and determine the final turning amount of the wheel from multiple required turning amounts according to the judgment logic. Determine the machining strategy according to the machining strategy classification logic and execute the turning machining.

2. The processing method for wheel turning and repair according to claim 1, characterized in that, The process of collecting tread data of the wheel to be repaired and establishing an actual tread shape model of the wheel includes: S11. Arrange the tread profile measuring instrument along the circumference of the wheel and continuously scan the wheel tread to collect the contour point cloud data of the wheel tread at different positions and obtain the tread shape curve. S12. Generate the actual tread shape model of the wheel based on the tread shape curve obtained from the detection.

3. The processing method for wheel turning and repair according to claim 1, characterized in that, The step of comparing the actual tread shape model with the standard profiles in the preset standard tread profile database, and establishing the wheel refinishing amount model based on the comparison results, includes: S21. Select the standard profile corresponding to the current wheel from the preset standard tread profile database; S22. Compare the selected standard profile with the actual tread shape model of the wheel to obtain the difference in rim thickness and rim height. S23. Establish a quantum model for wheel rim thickness turning based on the wheel rim thickness difference value; S24. Establish a quantum model for high-level wheel flange repair based on the flange height difference; S25. Based on the tread damage depth measured by the tread profile measuring instrument, establish a quantum model for tread damage repair; S26. Based on the tread runout value measured by the tread profile measuring instrument, establish a quantum model for tread runout repair.

4. The processing method for wheel turning and repair according to claim 3, characterized in that, The step of selecting the standard profile corresponding to the current wheel from the preset standard tread profile database includes: S211. Based on the measured wheel flange thickness, select the standard profile from the standard tread profile database that is closest to and less than or equal to the measured wheel flange thickness. S212. If the selected standard profile exceeds the profile range of the actual tread shape model of the current wheel, then select a standard profile with a lower flange thickness.

5. The processing method for wheel turning and repair according to claim 3, characterized in that, The establishment of a quantum model for rim thickness refinishing based on the rim thickness difference includes: S231. Obtain the actual wheel flange thickness before wheel resurfacing and the standard wheel flange thickness corresponding to the standard profile. S232. Based on the thickness difference between the actual rim thickness and the standard rim thickness, the thickness difference is used as the model input and the wheel diameter turning amount is used as the model output to establish the correspondence between the rim thickness difference and the diameter turning amount, thus obtaining the rim thickness turning quantum model.

6. The processing method for wheel turning and repair according to claim 3, characterized in that, The establishment of the quantum model for high-level wheel rim refining based on the rim height difference includes: S241. Obtain the actual flange height before wheel resurfacing and the standard flange height corresponding to the standard profile; S242. Based on the difference between the actual rim height and the standard rim height, the rim height difference is used as the model input and the wheel diameter turning amount is used as the model output. The correspondence between the rim height difference and the diameter turning amount is established to obtain the rim height turning quantum model.

7. The processing method for wheel turning and repair according to claim 3, characterized in that, The establishment of a quantum model for tread damage repair based on the tread damage depth measured by the tread profile measuring instrument includes: S251. Obtain the damage depth of the wheel tread; S252. Using damage depth as model input and wheel diameter rework amount as model output, establish the correspondence between damage depth and diameter rework amount to obtain a quantum model for tread damage rework.

8. The processing method for wheel turning according to claim 3, characterized in that, The establishment of a quantum model for tread runout repair based on the tread runout value measured by the tread profile measuring instrument includes: S261. Obtain the runout value of the wheel tread; S262. Using the runout value as the model input and the wheel diameter turning amount as the model output, establish the correspondence between the runout value and the diameter turning amount to obtain the tread runout turning quantum model.

9. The processing method for wheel turning and repair according to claim 1, characterized in that, The process of converting each turning quantum model in the turning quantity model into turning quantity calculation logic expressed in the form of wheel turning quantity functions, and integrating each calculation logic into the wheel machining program, includes: S31. Set the corresponding ratio coefficient and refinement margin for each refinishing quantum model in the refinishing quantity model; S32. Based on the input parameters, ratio coefficients, and finishing margins of each refinishing quantum model, construct the wheel refinishing quantity function expression corresponding to each refinishing quantum model; S33. Embed the function expressions into the wheel machining program in the form of program statements.

10. The processing method for wheel turning and repair according to claim 1, characterized in that, The addition of decision logic and processing strategy grading logic to the processing procedure includes: S41. Set the turning amount level classification rule, wherein the level classification rule divides the turning amount into multiple consecutive numerical intervals, and each numerical interval corresponds to a different number of roughing passes. S42. Set the calculation rules for the roughing depth of cut and finishing allowance for each roughing operation, and the corresponding rules for matching the roughing feed rate according to the roughing depth of cut.

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