A method, system, device and medium for detecting a good product of a main journal of a crankshaft

Abstract

This application relates to the field of workpiece quality inspection technology, and in particular to a method, system, equipment, and medium for inspecting the quality of crankshaft main journals. The method includes acquiring longitudinal position information, performing fine grinding analysis based on the longitudinal position information to obtain fine grinding data; acquiring feed speed information of the fine grinding data, performing fine grinding stage analysis based on the feed speed information to obtain fine grinding stage information; acquiring lateral position information of the fine grinding stage information, performing position change analysis on the lateral position information to obtain lateral change rate data; acquiring dimensional information corresponding to the fine grinding stage information, performing dimensional change analysis on the dimensional information to obtain dimensional change rate data; comparing the lateral change rate data and the dimensional change rate data with a change threshold, and determining the good condition information of the main journal based on the comparison result. This reduces the dependence of main journal dimension measurement on the measuring device, improves the accuracy of crankshaft main journal dimension inspection, and detects chronic deterioration of the measuring device in advance.

Description

Technical Field

[0001] This application relates to the field of workpiece quality inspection technology, and in particular to a method, system, equipment and medium for inspecting the quality of crankshaft main journals. Background Technology

[0002] In the precision machining of workpieces, especially components of precision machinery such as engines, the control and inspection of finished product dimensions are crucial to ensuring product quality. Precision components of engines include crankshafts. After crankshaft machining, the dimensions of the main journals need to be measured. Substandard main journal dimensions can lead to uneven load distribution, poor lubrication, increased vibration, and may even cause accelerated bearing wear or failure. Therefore, during crankshaft main journal grinding, dimensional inspection of the engine crankshaft main journals is performed to adjust the feed rate in real time and to assess the machining results, eliminating defective parts.

[0003] The machining of the main journal of the engine crankshaft involves controlling the feed speed of the grinding wheel based on the dimensions, stopping machining once the target dimension is reached. After machining, the main journal is measured again; if the dimensions exceed the preset target, it is judged as a defective product; if the measured dimensions are within the target range, it is judged as a good product. However, the current inspection method relies on the operating status of the inspection device. When the measuring device malfunctions or foreign objects intrude during the measurement process, the results cannot be accurately judged. These problems need to be solved. Summary of the Invention

[0004] To reduce the reliance on measuring devices for crankshaft main journal dimension measurement and improve the accuracy of crankshaft main journal dimension inspection, this application provides a method, system, equipment, and medium for good crankshaft main journal inspection, employing the following technical solution:

[0005] In a first aspect, this application provides a method for detecting the quality of crankshaft main journals, including:

[0006] Obtain longitudinal position information, perform fine grinding part analysis based on longitudinal position information, and obtain fine grinding part data;

[0007] The feed rate information of the fine grinding section is obtained, and the fine grinding stage is analyzed based on the feed rate information to obtain the fine grinding stage information;

[0008] Obtain the lateral position information corresponding to the fine grinding stage, perform position change analysis on the lateral position information, and obtain the lateral change rate data;

[0009] Obtain the dimensional information corresponding to the fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain dimensional change rate data;

[0010] The change threshold is compared based on the lateral change rate data and the dimensional change rate data, and the good condition information of the main spindle is obtained based on the comparison results.

[0011] Preferred options also include:

[0012] The lateral position information and size information are smoothed separately.

[0013] Preferably, the specific steps for analyzing the fine-grinding area based on the longitudinal position information to obtain the fine-grinding area data are as follows:

[0014] The Z-axis position array information is numerically judged. If the Z-axis position array information is greater than or equal to the first preset comparison value of one part, and the Z-axis position array information is less than or equal to the second preset comparison value of one part, the longitudinal position information is determined to correspond to one of the processing parts, and the fine grinding part data is obtained.

[0015] Preferably, the specific steps for performing fine grinding stage analysis based on feed rate information to obtain fine grinding stage information are as follows:

[0016] Based on the Z-axis position array information and the interval position array information of three adjacent time points, the average rate information is constructed according to the Z-axis position array information, the interval position array information and the acquisition time difference information between them.

[0017] If the feed rate information with the first speed weight is less than or equal to the average speed information, and the feed rate information with the second speed weight is greater than or equal to the average speed information, the fine grinding stage information is determined.

[0018] Preferably, the specific steps for performing position change analysis on the lateral position information to obtain lateral change rate data are as follows:

[0019] Position change analysis is performed based on the position array information of two adjacent X-axis times and the corresponding processing time array information to obtain the lateral change rate data.

[0020] Preferably, the specific steps for performing dimensional change analysis on the dimensional information to obtain dimensional change rate data are as follows:

[0021] Dimensional change analysis is performed based on the measured dimensional data at adjacent time points and the corresponding processing time array information to obtain dimensional change rate data.

[0022] Preferably, the specific steps for comparing the change threshold based on the lateral change rate data and the dimensional change rate data, and determining the good condition information of the main journal based on the comparison result, are as follows:

[0023] Obtain the change threshold information. If the largest lateral change rate data is less than the change threshold information, and the difference between the average lateral change rate data and the average size change rate data is less than the change threshold information, the main spindle is judged to be a good product.

[0024] Secondly, this application provides a crankshaft main journal good quality inspection system, including:

[0025] The first acquisition module is used to acquire longitudinal position information, perform fine grinding part analysis based on the longitudinal position information, and obtain fine grinding part data.

[0026] The second acquisition module is used to acquire the feed speed information of the fine grinding part, and to perform fine grinding stage analysis based on the feed speed information to obtain fine grinding stage information.

[0027] The third acquisition module is used to acquire the lateral position information of the corresponding fine grinding stage, perform position change analysis on the lateral position information, and obtain lateral change rate data.

[0028] The fourth acquisition module is used to acquire the dimensional information of the corresponding fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain dimensional change rate data;

[0029] The good product analysis module is used to compare the change thresholds based on the lateral change rate data and the dimensional change rate data, and to determine the good product status information of the main spindle based on the comparison results.

[0030] Thirdly, this application provides a crankshaft main journal good quality inspection device, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the crankshaft main journal good quality inspection method as described above.

[0031] Fourthly, this application provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the crankshaft main journal goodness detection method as described above when running.

[0032] In summary, compared with the prior art, the beneficial effects of the technical solution provided in this application include at least the following:

[0033] This application analyzes longitudinal position information and corresponding feed rate information to determine which stage of operation belongs to the fine grinding stage. It then analyzes the positional changes of the transverse position information during the fine grinding stage to obtain transverse change rate data. Next, it analyzes the changes in the dimensional information during the fine grinding stage to obtain dimensional change rate data. Based on the transverse and dimensional change rate data, it compares the change thresholds and determines whether the crankshaft main journal has met the machining standards according to the changes in position and dimensional change rates. This reduces the occurrence of misjudgments of good products due to measuring device malfunctions, reduces the dependence of main journal dimension measurement on the measuring device, and improves the accuracy of crankshaft main journal dimension detection. Attached Figure Description

[0034] Figure 1This is a schematic flowchart of a crankshaft main journal good quality inspection method described in an embodiment of this application.

[0035] Figure 2 This is a schematic diagram of a crankshaft main journal good quality inspection system according to an embodiment of this application.

[0036] Explanation of reference numerals in the attached figures:

[0037] 1. First acquisition module; 2. Second acquisition module; 3. Third acquisition module; 4. Fourth acquisition module; 5. Good product analysis module. Detailed Implementation

[0038] The following combination Figures 1-2 The present application will be described in further detail below. The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0039] Reference Figure 1 The present application relates to a method for detecting the quality of crankshaft main journals, which specifically includes:

[0040] Step S1: Obtain longitudinal position information, perform fine grinding part analysis based on longitudinal position information, and obtain fine grinding part data;

[0041] Step S2: Obtain the feed rate information of the fine grinding part, and perform fine grinding stage analysis based on the feed rate information to obtain fine grinding stage information;

[0042] Step S3: Obtain the lateral position information corresponding to the fine grinding stage, perform position change analysis on the lateral position information, and obtain the lateral change rate data;

[0043] Step S4: Obtain the dimensional information corresponding to the fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain the dimensional change rate data;

[0044] Step S5: Compare the change thresholds based on the lateral change rate data and the dimensional change rate data, and determine the good condition information of the main spindle journal based on the comparison results.

[0045] Specifically, the processing equipment and processing space are set with a coordinate system. The grinding end of the processing equipment is usually placed longitudinally. Its position is adjusted by longitudinal lifting or horizontal adjustment to grind the workpiece placed at the processing position, such as the crankshaft main journal of an engine. This application obtains the longitudinal position information of the grinding end in the coordinate system, performs a fine grinding area analysis on the longitudinal position information, and determines which part of the processing belongs to the fine grinding area by the longitudinal position change, thus obtaining fine grinding area data. It also analyzes the feed rate information of the corresponding part to determine which running stage belongs to the fine grinding stage. After obtaining the fine grinding area and stage, it performs a position change analysis on the lateral position information in the fine grinding stage to obtain lateral change rate data. Finally, it performs a change analysis on the dimensional information of the fine grinding stage to obtain dimensional change rate data. By comparing the change thresholds based on the lateral change rate data and the dimensional change rate data, and judging whether the crankshaft main journal has been processed to standard based on the change rate of position and size, the occurrence of misjudgment of good products due to measurement device failure is reduced, the dependence of main journal size measurement on the measurement device is reduced, and the accuracy of crankshaft main journal size detection is improved.

[0046] As one implementation method, the specific steps for analyzing the fine-grinding area based on the longitudinal position information to obtain the fine-grinding area data are as follows:

[0047] The Z-axis position array information is numerically judged. If the Z-axis position array information is greater than or equal to the first preset comparison value of one part, and the Z-axis position array information is less than or equal to the second preset comparison value of one part, the longitudinal position information is determined to correspond to one of the processing parts, and the fine grinding part data is obtained.

[0048] Specifically, in this embodiment, after acquiring the grinding machine data, the system extracts the fine grinding stage data for each part. However, data fluctuations are large during rapid feed and rough grinding stages, which can interfere with the judgment results. Fine grinding stage data fluctuations are smaller and more suitable for judgment; therefore, it is necessary to determine the fine grinding part and obtain its fine grinding data for further judgment. This application analyzes the fine grinding part of the workpiece. During the detection process, Z-axis position information is acquired, and this information is compared with the judgment range value to determine which part is currently being processed.

[0049] This application embodiment determines which grinding location the data belongs to based on the Z-axis position. The spindle journal grinding locations typically include 5 locations: 1J to 5J. The finishing grinding location data is obtained when Z_POS[i] >= Z_POS_1J-1 and Z_POS[i] <= Z_POS_1J+1. Here, Z_POS[i] is the Z-axis position array information, 1J is the Z-axis position during grinding, Z_POS_1J-1 is the first preset comparison value, and Z_POS_1J+1 is the second preset comparison value. Further analysis is performed on the feed rate information of the locations that meet the conditions.

[0050] As one implementation method, the specific steps for analyzing the fine grinding stage based on the feed rate information to obtain the fine grinding stage information are as follows:

[0051] Based on the Z-axis position array information and the interval position array information of three adjacent time points, the average rate information is constructed according to the Z-axis position array information, the interval position array information and the acquisition time difference information between them.

[0052] If the feed rate information with the first speed weight is less than or equal to the average speed information, and the feed rate information with the second speed weight is greater than or equal to the average speed information, the fine grinding stage information is determined.

[0053] Specifically, in this embodiment of the application, the feed rate information of the corresponding fine grinding part is extracted and analyzed. The fine grinding stage is determined by comparing the actual feed rate with the set feed rate of the processing parameters.

[0054] Specifically, after obtaining the Z-axis position array information, the system obtains the position array information at three time points at intervals between the Z-axis position array information, and analyzes and judges the feed rate information, which is specifically the preset feed rate information. and In this case, the data is determined to be from the fine grinding stage. Here, Z_POS[i] is the Z-axis position array information, Z_POS[i-3] is the interval position array information, and Δt is the time difference between the acquisition of the three data points, thus calculating the average rate information. V Z The Z-axis feed rate is set to a specific value, i.e., the feed rate information. 0.9 in the formula represents the first speed weight, and 1.1 represents the second speed weight. Under certain conditions, the finishing stage corresponding to the finishing section is determined, allowing for further data acquisition and analysis.

[0055] As one implementation method, it also includes:

[0056] The lateral position information and size information are smoothed separately.

[0057] Specifically, because the original data contains noise, directly comparing the rate of change results in large errors, so noise reduction and smoothing processing is required. In this embodiment, when it is determined to be fine grinding, the acquired data, such as position data and size data, are smoothed. SciPy.signal.savgol_filter is used for smoothing, with window_length set to 29-31 and polyorder set to 3-5.

[0058] `SciPy.signal.savgol_filter` is a function in the SciPy library used to apply the Savitzky-Golay filter, a common digital filtering method used in time series data smoothing and differential calculations. `window_length` is the window length, i.e., the number of data points used for each fitted polynomial, and is a positive odd integer. `Polyorder` is the order of the polynomial, which is less than the window length.

[0059] As one implementation method, the specific steps for performing position change analysis on the lateral position information to obtain lateral change rate data are as follows:

[0060] Position change analysis is performed based on the position array information of two adjacent X-axis times and the corresponding processing time array information to obtain the lateral change rate data.

[0061] Specifically, this application calculates the real-time rate of change through servo feed and dimensional measurement, and uses this rate of change to determine the quality of the workpiece. In this embodiment, the servo feed is calculated. The servo axis rate of change typically refers to the rate of change of axis position, speed, or acceleration in a servo control system. In this embodiment, the servo rate of change refers to the change in servo position per unit time. This embodiment calculates the rate of change between every two data acquisition points to analyze the lateral rate of change data. The lateral rate of change data is specifically as follows:

[0062]

[0063] Among them, V x The data represents the X-axis position change rate, i.e., the lateral change rate. x_pos[i] is the X-axis position array information, x_pos[i-1] is the X-axis position array information of the previous adjacent time, t[i] is the processing time array information, and t[i-1] is the processing time array information of the previous adjacent time. Having obtained the lateral change rate data, we further obtain dimensional data to analyze the dimensional change rate.

[0064] As one implementation method, the specific steps for performing dimensional change analysis on dimensional information to obtain dimensional change rate data are as follows:

[0065] Dimensional change analysis is performed based on the measured dimensional data at adjacent time points and the corresponding processing time array information to obtain dimensional change rate data.

[0066] Specifically, this embodiment calculates dimensional change rate data. Upon obtaining lateral change rate data, it acquires measured dimensional data and corresponding processing time array information, and performs analysis based on the measured dimensional data and corresponding processing time array information. The measured dimensional change rate represents the change in size per unit time. This embodiment calculates the real-time change rate between every two data acquisition points. The measured dimensional change rate is specifically as follows:

[0067]

[0068] Among them, V D Here, d[i] represents the dimensional change rate data, D[i-1] represents the measured dimensional data, D[i-1] represents the measured dimensional data of the previous adjacent time, t[i] represents the processing time array information, and t[i-1] represents the processing time array information of the previous adjacent time. After analyzing and obtaining the lateral change rate data and dimensional change rate data, a good product analysis is performed on the workpiece.

[0069] As one implementation method, the specific steps for comparing the change threshold based on the lateral change rate data and the dimensional change rate data, and determining the good product status information of the main journal based on the comparison result, are as follows:

[0070] Obtain the change threshold information. If the largest lateral change rate data is less than the change threshold information, and the difference between the average lateral change rate data and the average size change rate data is less than the change threshold information, the main spindle is judged to be a good product.

[0071] Specifically, the rate of change threshold information in this application embodiment is selected based on the patterns of several normal samples. After obtaining the rate of change threshold information, the lateral rate of change data and the dimensional rate of change data need to meet two judgment conditions.

[0072] In the fine grinding stage, the change in measured dimensions is small, and the grinding time is long, resulting in a very small change rate. If the change rate exceeds a certain threshold, the product is judged as defective. Specifically:

[0073] MAX(V D )<λ

[0074] Among them, MAX(V) D ) represents the maximum rate of change of the measured size, and λ represents the change threshold information.

[0075] Furthermore, as the servo axis feeds, the dimension will decrease accordingly, and normally the rates of change of both are close. Comparing the average rates of change of both, if they exceed a certain threshold, the product is judged as defective. Specifically:

[0076]

[0077] in, The average rate of change of position along the x-axis. To measure the average rate of change of dimensions, λ represents the change threshold information.

[0078] In this embodiment, the workpiece is determined to be good if the first and second conditions are met. By comparing whether the rate of change of the servo axis is consistent with the rate of change of the measured dimension, the processing dimension is determined to be good. Compared with the traditional method of only monitoring the measured dimension, this invention can detect defects caused by abnormalities in the measuring device or foreign objects directly stuck between the measuring head and the workpiece, thus making up for the shortcomings of low defect detection rate in the past.

[0079] Reference Figure 2 This application provides a crankshaft main journal good quality inspection system, which includes:

[0080] The first acquisition module is used to acquire longitudinal position information, perform fine grinding part analysis based on the longitudinal position information, and obtain fine grinding part data.

[0081] The second acquisition module is used to acquire the feed speed information of the fine grinding part, and to perform fine grinding stage analysis based on the feed speed information to obtain fine grinding stage information.

[0082] The third acquisition module is used to acquire the lateral position information of the corresponding fine grinding stage, perform position change analysis on the lateral position information, and obtain lateral change rate data.

[0083] The fourth acquisition module is used to acquire the dimensional information of the corresponding fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain dimensional change rate data;

[0084] The good product analysis module is used to compare the change thresholds based on the lateral change rate data and the dimensional change rate data, and to determine the good product status information of the main spindle based on the comparison results.

[0085] This application provides a crankshaft main journal good quality inspection device, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the crankshaft main journal good quality inspection method as described above.

[0086] This application provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the crankshaft main journal goodness detection method as described above when it is run.

[0087] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the device and product described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0088] In the several embodiments provided in this application, it should be understood that the disclosed methods, systems, apparatus and program products can be implemented in other ways.

[0089] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0090] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for detecting the quality of crankshaft main journals, characterized in that, include: Obtain longitudinal position information, perform fine grinding part analysis based on longitudinal position information, and obtain fine grinding part data. Specifically, this includes: performing numerical judgment on Z-axis position array information; if the Z-axis position array information is greater than or equal to a first preset comparison value of one part, and if the Z-axis position array information is less than or equal to a second preset comparison value of one part, determine that the longitudinal position information corresponds to one processing part, and obtain fine grinding part data. The feed rate information of the fine grinding section is acquired, and the fine grinding stage is analyzed based on the feed rate information to obtain the fine grinding stage information. Specifically, this includes: constructing average rate information based on the Z-axis position array information and the interval position array information of three adjacent time points, and the acquisition time difference information between the Z-axis position array information, the interval position array information, and the information between them; and determining the fine grinding stage information when the feed rate information with the first speed weight is less than or equal to the average rate information, and the feed rate information with the second speed weight is greater than or equal to the average rate information. Obtain the lateral position information corresponding to the fine grinding stage, perform position change analysis on the lateral position information, and obtain the lateral change rate data; Obtain the dimensional information corresponding to the fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain dimensional change rate data; The change threshold is compared based on the lateral change rate data and the dimensional change rate data, and the good condition information of the main spindle is obtained based on the comparison results.

2. The method for detecting good quality crankshaft main journals according to claim 1, characterized in that, Also includes: The lateral position information and size information are smoothed separately.

3. The method for detecting good quality crankshaft main journals according to claim 1, characterized in that, The specific steps for performing position change analysis on the lateral position information to obtain the lateral change rate data are as follows: Position change analysis is performed based on the position array information of two adjacent X-axis times and the corresponding processing time array information to obtain the lateral change rate data.

4. The method for detecting good quality crankshaft main journals according to claim 1, characterized in that, The specific steps for performing dimensional change analysis on the dimensional information to obtain dimensional change rate data are as follows: Dimensional change analysis is performed based on the measured dimensional data at adjacent time points and the corresponding processing time array information to obtain dimensional change rate data.

5. The method for detecting good quality crankshaft main journals according to claim 1, characterized in that, The specific steps for comparing the change threshold based on the lateral change rate data and the dimensional change rate data, and determining the good product status information of the main journal based on the comparison result, are as follows: Obtain the change threshold information. If the largest lateral change rate data is less than the change threshold information, and the difference between the average lateral change rate data and the average size change rate data is less than the change threshold information, the main spindle is judged to be a good product.

6. A crankshaft main journal good quality inspection system, characterized in that, include: The first acquisition module is used to acquire longitudinal position information, perform fine grinding part analysis based on the longitudinal position information, and obtain fine grinding part data. Specifically, it includes: performing numerical judgment on Z-axis position array information; if the Z-axis position array information is greater than or equal to a first preset comparison value of one part, and if the Z-axis position array information is less than or equal to a second preset comparison value of one part, it determines that the longitudinal position information corresponds to one processing part and obtains fine grinding part data. The second acquisition module is used to acquire the feed rate information of the fine grinding part data, and to perform fine grinding stage analysis based on the feed rate information to obtain fine grinding stage information. Specifically, it includes: constructing average rate information based on the Z-axis position array information and the interval position array information of three adjacent time points, and the acquisition time difference information between the Z-axis position array information, the interval position array information, and the information between them; and determining the fine grinding stage information when the feed rate information with the first speed weight is less than or equal to the average rate information, and the feed rate information with the second speed weight is greater than or equal to the average rate information. The third acquisition module is used to acquire the lateral position information of the corresponding fine grinding stage, perform position change analysis on the lateral position information, and obtain lateral change rate data. The fourth acquisition module is used to acquire the dimensional information of the corresponding fine grinding stage, perform dimensional change analysis on the dimensional information, and obtain dimensional change rate data; The good product analysis module is used to compare the change thresholds based on the lateral change rate data and the dimensional change rate data, and to determine the good product status information of the main spindle based on the comparison results.

7. A crankshaft main journal quality inspection device, characterized in that, The method includes a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the crankshaft main journal good quality inspection method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute, when run, the crankshaft main journal good quality inspection method according to any one of claims 1-5.

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