A detection system and method for a motor output shaft

Abstract

The application relates to the technical field of motor output shaft detection, and specifically discloses a motor output shaft detection system and method, which comprises a sample acquisition and classification module, a quality performance detection module, a mechanical performance detection module, a dynamic performance detection module, a use input judgment module and a memory; the application forms a comprehensive comprehensive performance investigation index of the current batch of motor output shaft samples from the three angles of the quality performance, the mechanical performance and the dynamic performance of the current batch of motor output shaft samples, thereby more accurately judging whether the current batch of motor output shaft samples can be put into industrial equipment assembly, timely performing online feedback, providing decision-making suggestions and data support for workers, making the motor output shaft detection process more flexible and efficient, and continuously adapting to market demands and changing detection environments, and helping to improve the overall performance of the motor output shaft.

Description

Technical Field

[0001] This invention relates to the field of motor output shaft detection technology, specifically to a detection system and method for motor output shafts. Background Technology

[0002] As the core component for power output, the motor output shaft's performance and quality directly affect the operational stability and reliability of the entire motor system. During motor operation, the output shaft must not only withstand the centrifugal force generated by high-speed rotation but also transmit the torque produced by the motor to drive various load devices. Therefore, there are relatively strict requirements for the performance and quality testing of the motor output shaft.

[0003] Currently, the technology and equipment for testing motor output shafts vary widely, and the testing methods for different types of motor output shafts are also quite different. There is an urgent need for a method to perform multi-dimensional testing and analysis of motor output shafts, so that the performance and quality evaluation results of motor output shafts can be more meaningful. Summary of the Invention

[0004] The purpose of this invention is to provide a detection system and method for the output shaft of a motor to solve the problems mentioned in the background.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] The first aspect of the present invention provides a detection system for the output shaft of a motor, comprising:

[0007] The sample acquisition and classification module is used to extract several motor output shaft samples from the motor output shaft samples formed by the precision forging process in the current batch, and divide them into three categories of motor output shaft samples according to an equal ratio.

[0008] The quality performance testing module is used to test the quality performance of each type of motor output shaft sample, obtain the quality performance parameters of each type of motor output shaft sample, and analyze the quality performance evaluation index of each type of motor output shaft sample to obtain the quality performance evaluation index of each type of motor output shaft sample.

[0009] Preferably, the quality performance of each type of motor output shaft sample is tested to obtain the quality performance parameters of each type of motor output shaft sample. The specific testing method is as follows:

[0010] The output shaft samples of each type of motor are scanned by a laser 3D scanner to obtain the contour detection model of each type of motor output shaft sample. Based on the edge detection algorithm, the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample are identified, thus obtaining the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample.

[0011] Test points are evenly distributed on each type of motor output shaft sample to obtain each test point of each type of motor output shaft sample. The surface roughness of each test point of each type of motor output shaft sample is detected by a roughness measuring instrument to obtain the surface roughness of each test point of each type of motor output shaft sample.

[0012] The surface images of each type of motor output shaft sample were acquired using an industrial camera. Based on image recognition technology, crack and scratch areas were extracted from each type of motor output shaft sample. The number of crack and scratch areas for each type of motor output shaft sample was then counted. The length and width of each crack area and the depth and length of each scratch area were extracted and then accumulated to obtain the total length, width, depth, and length of the crack area for each type of motor output shaft sample. These were then used as the crack length, crack width, scratch depth, and scratch length for each type of motor output shaft sample, respectively.

[0013] Preferably, the quality performance evaluation index corresponding to a certain type of motor output shaft sample is analyzed to obtain the quality performance evaluation index corresponding to a certain type of motor output shaft sample. The specific analysis method is as follows:

[0014] The contour shape feature detection values ​​of each type of motor output shaft sample are extracted from the quality performance parameters of each type of motor output shaft sample contour detection model, and denoted as [the following values ​​are used]. Simultaneously, the standard contour model of the motor output shaft is retrieved from the memory, and the standard feature detection values ​​of each contour shape are extracted from it, denoted as XZ′. j , i represents the number of each type of motor output shaft sample, i = 1, 2, ..., a, a represents the total number of type of motor output shaft sample numbers, j represents the number of each contour shape feature, j = 1, 2, ..., b, b represents the total number of contour shape feature numbers;

[0015] According to the formula Calculate the dimensional accuracy JQ of the production dimensions of each type of motor output shaft sample. i where e represents the natural constant;

[0016] The surface roughness of each test point of each type of motor output shaft sample is extracted, and the maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness are selected and denoted as follows: According to the formula

[0017]

[0018] The surface roughness uniformity JY of each type of motor output shaft sample was calculated. iCX0 represents the set reference surface roughness, and α1, α2, α3, and α4 represent the weights of the surface roughness uniformity corresponding to the set maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness, respectively.

[0019] The number of cracked areas and scratched areas of each type of motor output shaft sample were extracted and denoted as LN. i HN i Simultaneously, the crack length, crack width, scratch depth, and scratch length of each type of motor output shaft sample were extracted and denoted as LL. i LD i HH i HL i ;

[0020] According to the formula Calculate the defect degree QX of each type of motor output shaft sample. i β1, β2, β3, β4, β5, and β6 represent the weights of the defects corresponding to the number of cracked regions, the number of scratched regions, the crack length, the crack width, the scratch depth, and the scratch length, respectively.

[0021] According to the formula The quality performance evaluation index ZX corresponding to a certain type of motor output shaft sample is calculated, and w1, w2, and w3 represent the weights of the quality performance evaluation index corresponding to the set production dimensional accuracy, surface roughness uniformity, and defect rate, respectively.

[0022] The mechanical performance testing module is used to test the mechanical performance of each type II motor output shaft sample, obtain the mechanical performance parameters of each type II motor output shaft sample, and analyze the mechanical performance evaluation index of the type II motor output shaft sample to obtain the mechanical performance evaluation index of the type II motor output shaft sample.

[0023] Preferably, the mechanical properties of each type II motor output shaft sample are tested to obtain the mechanical property parameters corresponding to each type II motor output shaft sample. The specific testing method is as follows:

[0024] Each type of motor output shaft sample was divided into torque test samples and fatigue test samples. Torque test conditions for each working condition gradient were set, and the torque test conditions were numbered in order from low to high working conditions. The numbering order of the torque test samples for each working condition corresponded one-to-one with the numbering of the torque test conditions for each working condition gradient. Then, each torque test sample was tested for torque in turn under its corresponding working condition gradient torque test conditions. At the same time, the torque magnitude of each torque test sample at each test time point within the set test period was detected by a torque sensor, so as to obtain the torque magnitude of each torque test sample at each test time point within the set test period.

[0025] Fatigue test conditions were set for each stress level gradient, and each fatigue test condition was numbered in order of increasing stress level. The numbering sequence of each fatigue test sample was matched one-to-one with the numbering sequence of each stress level gradient fatigue test condition. Then, each fatigue test sample was subjected to fatigue test under its corresponding stress level gradient fatigue test condition in sequence. When obvious cracks appeared in each fatigue test sample, the test was stopped and this was taken as the fatigue failure standard. At the same time, the number of cycles that each fatigue test sample reached the fatigue failure standard was detected by a counter, and the number of cycles for each fatigue test sample was obtained as the fatigue life of each fatigue test sample.

[0026] Preferably, the mechanical performance evaluation index corresponding to each type of motor output shaft sample is analyzed to obtain the mechanical performance evaluation index corresponding to each type of motor output shaft sample. The specific analysis method is as follows:

[0027] Plot the torque variation curves of each torque test sample within a set testing period using each testing time point as the x-axis and the torque magnitude as the y-axis. Simultaneously, retrieve the reference torque variation curves for each operating condition gradient within the set testing period from memory. Compare the overlap between the torque variation curves of each torque test sample within the set testing period and the reference torque variation curves for each operating condition gradient within the set testing period to obtain the overlap length of the torque variation curves of each torque test sample within the set testing period, denoted as L. x x represents the number of each torque test sample, x = 1, 2, ..., p, and p represents the total number of torque test sample numbers;

[0028] Obtain the value of the length of the reference torque change curve for each working condition gradient within the set detection period, and denote it as L0;

[0029] The maximum and minimum torque values ​​are extracted from the torque variation curves of each torque test sample within the set testing period, and denoted as follows: The maximum and minimum reference torque values ​​are extracted from the reference torque variation curves of each working condition gradient within the set detection period, and denoted as follows: According to the formula The torque stability coefficient TW corresponding to the torque test sample is calculated. γ1, γ2, and γ3 represent the weights of the torque stability coefficients corresponding to the set torque change curve overlap length, maximum torque value, and minimum torque value, respectively.

[0030] The fatigue life of each fatigue test sample is extracted, and the reference fatigue life at each stress level is retrieved from the memory. The fatigue life of each fatigue test sample is compared with the reference fatigue life at each stress level. If the fatigue life of a fatigue test sample is greater than or equal to the reference fatigue life at a certain stress level, the fatigue test sample is recorded as a sample that meets the fatigue strength standard. If the fatigue life of a fatigue test sample is less than the reference fatigue life at a certain stress level, the fatigue test sample is recorded as a sample that does not meet the fatigue strength standard. The number of samples that meet the fatigue strength standard and the number of samples that do not meet the fatigue strength standard are counted and denoted as PD and PB, respectively.

[0031] According to the formula The fatigue strength coefficient PX corresponding to the fatigue test sample is calculated. ε1 and ε2 represent the proportion weights of the fatigue strength coefficients corresponding to the number of samples that meet the fatigue strength standard and the number of samples that do not meet the fatigue strength standard, respectively.

[0032] The mechanical performance evaluation index JX corresponding to the output shaft samples of the second type of motor is calculated according to the formula JX=TW×z1+PX×z2, where z1 and z2 represent the weights of the set torque stability coefficient and fatigue strength coefficient corresponding to the mechanical performance evaluation index, respectively. The dynamic performance testing module is used to test the dynamic performance of each of the three types of motor output shaft samples, obtaining the dynamic performance parameters for each type of motor output shaft sample, and then analyzing the dynamic performance evaluation index corresponding to the three types of motor output shaft samples to obtain the dynamic performance evaluation index for each type of motor output shaft sample.

[0033] Preferably, the dynamic performance of the output shaft samples of each of the three types of motors is tested to obtain the dynamic performance parameters of each of the three types of motor output shaft samples. The specific testing method is as follows:

[0034] The output shaft samples of each of the three types of motors were divided into radial runout test samples and axial runout test samples.

[0035] Each radial runout test sample is placed and fixed on the testing platform. Periodic simulated external forces are applied to the radial horizontal direction of the sample in a set manner to simulate the radial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external forces, the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction is detected by a high-precision displacement sensor to obtain the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction. At the same time, the vibration amplitude of each radial runout test sample is detected by a vibration sensor to obtain the vibration amplitude of each radial runout test sample. The noise decibel value of each radial runout test sample at each detection time point is detected by a sound sensor to obtain the noise decibel value of each radial runout test sample at each detection time point.

[0036] Each axial movement test sample is placed and fixed on the testing platform. Periodic simulated external forces are applied to the sample in the axial horizontal direction according to a set method to simulate the axial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external forces, the displacement change value of each axial movement test sample in the axial horizontal direction at each detection time point is detected by a high-precision displacement sensor, and the vibration amplitude of each axial movement test sample is detected by a vibration sensor, and the noise decibel value of each axial movement test sample at each detection time point is detected by a sound sensor.

[0037] Preferably, the dynamic performance evaluation indexes corresponding to the three types of motor output shaft samples are analyzed to obtain the dynamic performance evaluation indexes corresponding to the three types of motor output shaft samples. The specific analysis method is as follows:

[0038] The maximum displacement change value is extracted from the displacement change values ​​of each radially axial movement test sample at each detection time point in the radial horizontal direction, and denoted as . q represents the number of each radial runout test sample, q = 1, 2, ..., m, where m represents the total number of radial runout test sample numbers. The vibration amplitude of each radial runout test sample is extracted and denoted as ZF. q ;

[0039] The noise decibel value at each detection time point in the radial horizontal direction of each radially axial movement test sample is subtracted from the set permissible noise decibel value to obtain the noise decibel value deviation of each radially axial movement test sample at each detection time point in the radial horizontal direction. The maximum and minimum noise decibel value deviations are then extracted and denoted as follows: According to the formula

[0040] Calculate the radial runout coefficient CD1 of the radial runout test sample. ZF'、 The values ​​are represented as the set reference maximum radial displacement change value, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation. η1, η2, η3, and η4 represent the weighting of the axial displacement coefficients corresponding to the set maximum radial displacement change value, vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation, respectively.

[0041] The maximum displacement change value is extracted from the displacement change values ​​of each axially oriented test sample at each detection time point in the horizontal direction, and denoted as . r represents the number of each axial movement test sample, r = 1, 2, ..., n, where n represents the total number of axial movement test sample numbers. The vibration amplitude of each axial movement test sample is extracted and denoted as ZF. r ;

[0042] The noise decibel value at each detection time point in the axial horizontal direction of each axial movement test sample is subtracted from the set permissible noise decibel value to obtain the noise decibel value deviation of each axial movement test sample at each detection time point in the axial horizontal direction. The maximum and minimum noise decibel value deviations are then extracted and denoted as follows: According to the formula

[0043] The axial movement coefficient CD2 of the axial movement test sample was calculated. ZF′、 The values ​​are represented as the set reference maximum radial displacement change value, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation. σ1, σ2, σ3, and σ4 represent the weighting of the axial displacement coefficients corresponding to the set maximum displacement change value, vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation, respectively.

[0044] According to the formula The dynamic performance evaluation index DX corresponding to the three types of motor output shaft samples is calculated. v1 and v2 represent the weights of the dynamic performance evaluation index corresponding to the set radial axial movement test sample and the axial movement test sample, respectively.

[0045] The deployment determination module is used to determine whether the motor output shaft samples formed by the precision forging process in the current batch can be put into use in industrial equipment, and to provide corresponding feedback.

[0046] Preferably, the method for determining whether the motor output shaft samples formed by the precision forging process in the current batch can be used in industrial equipment is as follows:

[0047] According to the formula Calculate the comprehensive performance evaluation index KC of the current batch of motor output shaft samples. u1, u2, and u3 represent the weights of the comprehensive performance evaluation index corresponding to the quality performance evaluation index of Class I motor output shaft samples, the mechanical performance evaluation index of Class II motor output shaft samples, and the dynamic performance evaluation index of Class III motor output shaft samples, respectively.

[0048] The comprehensive performance evaluation index of the current batch of motor output shaft samples is compared with the set comprehensive performance evaluation index threshold. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is greater than or equal to the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples can be used in industrial equipment. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is less than the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples cannot be used in industrial equipment.

[0049] A second aspect of the present invention provides a detection method for a motor output shaft, comprising the following steps:

[0050] S1: Sample Acquisition and Classification: Extract several motor output shaft samples from the current batch of motor output shaft samples formed by precision forging process, and divide them into three categories of motor output shaft samples, each category of motor output shaft samples, and each category of motor output shaft samples according to an equal ratio.

[0051] S2: Quality performance testing: The quality performance of each type of motor output shaft sample is tested to obtain the quality performance parameters of each type of motor output shaft sample. Based on this, the quality performance evaluation index of the type of motor output shaft sample is analyzed to obtain the quality performance evaluation index of the type of motor output shaft sample.

[0052] S3: Mechanical performance testing: The mechanical performance of each type II motor output shaft sample is tested to obtain the mechanical performance parameters of each type II motor output shaft sample. Based on this, the mechanical performance evaluation index of the type II motor output shaft sample is analyzed to obtain the mechanical performance evaluation index of the type II motor output shaft sample.

[0053] S4: Dynamic performance testing: The dynamic performance of the output shaft samples of the three types of motors is tested to obtain the dynamic performance parameters of the output shaft samples of the three types of motors. Based on this, the dynamic performance evaluation index of the output shaft samples of the three types of motors is analyzed to obtain the dynamic performance evaluation index of the output shaft samples of the three types of motors.

[0054] S5: Use Determination: Determine whether the motor output shaft samples formed by the precision forging process of the current batch can be used in industrial equipment, and provide corresponding feedback.

[0055] The beneficial effects of this invention are:

[0056] This invention detects and analyzes the dimensional accuracy, surface roughness uniformity, and defect rate of each type of motor output shaft sample, and then comprehensively analyzes and obtains the quality performance evaluation index corresponding to each type of motor output shaft sample. Compared with single index evaluation, this multi-dimensional evaluation method can more comprehensively and scientifically reflect the overall quality status of the motor output shaft, providing sufficient basis for product quality judgment.

[0057] This invention combines the torque stability coefficient of the torque test sample and the fatigue strength coefficient of the fatigue test sample to comprehensively analyze the mechanical performance evaluation index corresponding to the two types of motor output shaft samples. It simulates the extreme conditions that the motor output shaft samples may face in actual use and comprehensively examines the performance changes of the motor output shaft samples under different conditions, thereby making the evaluation more realistic and reliable.

[0058] This invention applies periodic simulated external forces to each radial and axial axial movement test sample to simulate the radial and axial horizontal disturbance forces experienced by the motor output shaft during actual operation. This allows for the analysis of the dynamic performance evaluation index of the three types of motor output shaft samples, comprehensively examining their dynamic performance. The evaluation results provide direct guidance for the design optimization and manufacturing process improvement of motor output shafts, helping to improve the overall quality and performance of motor output shafts and meet the stringent requirements of industrial equipment for the dynamic performance of motor output shafts.

[0059] This invention forms a comprehensive performance evaluation index for the current batch of motor output shaft samples from three perspectives: quality performance, mechanical performance, and dynamic performance. Based on this index, it can more accurately determine whether the current batch of motor output shaft samples can be used for industrial equipment assembly, provide timely online feedback, and offer decision-making suggestions and data support to staff. This makes the motor output shaft testing process more flexible and efficient, and can continuously adapt to market demands and changing testing environments, thus helping to improve the overall performance of motor output shafts. Attached Figure Description

[0060] The invention will now be further described with reference to the accompanying drawings.

[0061] Figure 1 This is a schematic diagram of the system module connections of the present invention.

[0062] Figure 2 This is a schematic diagram illustrating the implementation steps of the method of the present invention. Detailed Implementation

[0063] 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.

[0064] Example 1

[0065] Please see Figure 1 As shown, the present invention is a detection system for motor output shaft, comprising: a sample acquisition and classification module, a quality performance detection module, a mechanical performance detection module, a dynamic performance detection module, a put-in-use determination module, and a memory.

[0066] The memory is connected to the quality performance testing module and the mechanical performance testing module. The sample acquisition and classification module is connected to the quality performance testing module, the mechanical performance testing module, and the dynamic performance testing module, respectively. The quality performance testing module, the mechanical performance testing module, and the dynamic performance testing module are connected to the put-in-use determination module, respectively.

[0067] The sample acquisition and classification module is used to extract several motor output shaft samples from the motor output shaft samples formed by the precision forging process in the current batch, and divide them into three categories of motor output shaft samples according to an equal ratio.

[0068] The quality performance testing module is used to test the quality performance of each type of motor output shaft sample, and obtain the quality performance parameters for each type of motor output shaft sample. The specific testing method is as follows:

[0069] The output shaft samples of each type of motor are scanned by a laser 3D scanner to obtain the contour detection model of each type of motor output shaft sample. Based on the edge detection algorithm, the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample are identified, thus obtaining the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample.

[0070] It should be noted that the contour shape features include, but are not limited to: journal, shoulder, and keyway contour shapes. The contour shape feature values ​​include, but are not limited to, journal diameter, shoulder diameter, keyway width, keyway depth, surface cylindricity, and chamfer between the output shaft end and the keyway end.

[0071] Test points are evenly distributed on each type of motor output shaft sample to obtain each test point of each type of motor output shaft sample. The surface roughness of each test point of each type of motor output shaft sample is detected by a roughness measuring instrument to obtain the surface roughness of each test point of each type of motor output shaft sample.

[0072] The surface images of each type of motor output shaft sample are acquired using an industrial camera. Based on image recognition technology, crack and scratch areas of each type of motor output shaft sample are extracted. The number of crack and scratch areas of each type of motor output shaft sample is then counted. The length and width of each crack area and the depth and length of each scratch area are extracted and then accumulated to obtain the total length, width, depth, and length of the crack area of ​​each type of motor output shaft sample. These are used as the crack length, crack width, scratch depth, and scratch length of each type of motor output shaft sample, respectively.

[0073] Therefore, the quality performance evaluation index corresponding to a certain type of motor output shaft sample was analyzed, and the specific analysis method is as follows:

[0074] The contour shape feature detection values ​​of each type of motor output shaft sample are extracted from the quality performance parameters of each type of motor output shaft sample contour detection model, and denoted as [the following values ​​are used]. Simultaneously, the standard contour model of the motor output shaft is retrieved from the memory, and the standard feature detection values ​​of each contour shape are extracted from it, denoted as XZ′. j , i represents the number of each type of motor output shaft sample, i = 1, 2, ..., a, a represents the total number of type of motor output shaft sample numbers, j represents the number of each contour shape feature, j = 1, 2, ..., b, b represents the total number of contour shape feature numbers;

[0075] According to the formula Calculate the dimensional accuracy JQ of the production dimensions of each type of motor output shaft sample. i Example 1: Total number of motor output shaft samples a = 3, total number of contour shape features b = 2, standard contour feature values ​​XZ′1 = 10 mm, XZ2′ = 8 mm;

[0076] Motor output shaft sample 1 (i=1): Motor output shaft sample 2 (i=2): Motor output shaft sample 3 (i=3): The specific steps for calculating the accuracy of production dimensions are as follows:

[0077] Dimensional accuracy of sample 1: Dimensional accuracy of sample 2: Dimensional accuracy of sample 3: The closer the production dimension accuracy is to 1, the smaller the deviation between the detected value of the contour shape feature and the detected value of the standard contour shape feature, and the higher the production dimension accuracy.

[0078] The surface roughness of each test point of each type of motor output shaft sample is extracted, and the maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness are selected and denoted as follows: According to the formula

[0079]

[0080] The surface roughness uniformity JY of each type of motor output shaft sample was calculated. i CX0 represents the set reference surface roughness, and α1, α2, α3, and α4 represent the weights of the surface roughness uniformity corresponding to the set maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness, respectively.

[0081] Example 2:

[0082] The reference surface roughness CX0 is set to 3 μm, and the weights α1 = α2 = α3 = α4 = 0.25;

[0083] The number of samples for the motor output shaft is i=3, and the surface roughness data of each sample's test point are as follows:

[0084]

[0085] The surface roughness uniformity JY1 of samples 1, 2, and 3 is:

[0086]

[0087]

[0088] The closer the surface roughness uniformity i is to 1, the higher the surface roughness uniformity; thus, it can be used to quantitatively evaluate the surface processing quality of the motor output shaft, assist in optimizing the production process, select high-quality products, and improve the consistency of surface processing.

[0089] The number of cracked areas and scratched areas of each type of motor output shaft sample were extracted and denoted as LN. i HN i Simultaneously, the crack length, crack width, scratch depth, and scratch length of each type of motor output shaft sample were extracted and denoted as LL. i LD i HH i HL i ;

[0090] According to the formula Calculate the defect degree QX of each type of motor output shaft sample. iβ1, β2, β3, β4, β5, and β6 represent the weights of the defects corresponding to the number of cracked regions, the number of scratched regions, the crack length, the crack width, the scratch depth, and the scratch length, respectively.

[0091] Example 3:

[0092] The weights for the defect severity corresponding to the number of cracked regions, the number of scratched regions, crack length, crack width, scratch depth, and scratch length are set as follows: β1 = 0.2, β2 = 0.2, β3 = 0.15, β4 = 0.15.

[0093] β5 = 0.15, β6 = 0.15.

[0094] The sample data for the motor output shaft is as follows:

[0095]

[0096] The defect rates of samples 1, 2, and 3 are as follows:

[0097]

[0098] According to the formula The quality performance evaluation index ZX corresponding to a certain type of motor output shaft sample is calculated, and w1, w2, and w3 represent the weights of the quality performance evaluation index corresponding to the set production dimensional accuracy, surface roughness uniformity, and defect rate, respectively.

[0099] Example 4:

[0100] The weights for the quality performance evaluation indices corresponding to dimensional accuracy, surface roughness uniformity, and defect rate are set as follows:

[0101] w1 = 0.4, w2 = 0.3, w3 = 0.3; Substitute the dimensional accuracy, surface roughness uniformity, and defect rate from Example 1-3 into the formula for calculation:

[0102]

[0103] In one specific embodiment, the present invention detects and analyzes the dimensional accuracy, surface roughness uniformity, and defect rate of each type of motor output shaft sample, and then comprehensively analyzes to obtain the quality performance evaluation index corresponding to each type of motor output shaft sample. Compared with single index evaluation, this multi-dimensional evaluation method can more comprehensively and scientifically reflect the overall quality status of the motor output shaft, providing sufficient basis for product quality judgment.

[0104] The mechanical performance testing module is used to test the mechanical performance of each type II motor output shaft sample, and obtain the mechanical performance parameters of each type II motor output shaft sample. The specific testing method is as follows:

[0105] Each type of motor output shaft sample was divided into torque test samples and fatigue test samples. Torque test conditions for each working condition gradient were set, and the torque test conditions were numbered in order from low to high working conditions. The numbering order of the torque test samples for each working condition corresponded one-to-one with the numbering of the torque test conditions for each working condition gradient. Then, each torque test sample was tested for torque in turn under its corresponding working condition gradient torque test conditions. At the same time, the torque magnitude of each torque test sample at each test time point within the set test period was detected by a torque sensor, so as to obtain the torque magnitude of each torque test sample at each test time point within the set test period.

[0106] It should be noted that the operating condition specifically refers to the speed condition, and the operating condition gradient refers to the initial speed as the first speed gradient, and the subsequent operating condition gradients will gradually increase according to the speed increment. In a specific embodiment, if 1500 rpm is set as the first operating condition gradient and the speed increment is set to 500 rpm, then the second operating condition gradient is 2000 rpm, the third operating condition gradient is 2500 rpm, and so on. The number of operating condition gradients is consistent with the number of torque test samples.

[0107] Fatigue test conditions for each stress level gradient were set up, and the fatigue test conditions were numbered in order of increasing stress level. The numbering sequence of each fatigue test sample was matched one-to-one with the numbering sequence of each stress level gradient fatigue test condition. Then, each fatigue test sample was subjected to fatigue test under its corresponding stress level gradient fatigue test condition in sequence. When obvious cracks appeared in each fatigue test sample, the test was stopped and the result was taken as the fatigue failure standard. At the same time, the number of cycles for each fatigue test sample to reach the fatigue failure standard was detected by a counter, and the number of cycles for each fatigue test sample was obtained as the fatigue life of each fatigue test sample.

[0108] It should be noted that the stress level gradient refers to the initial stress level as the first stress level gradient, and the subsequent stress level gradients will gradually increase according to the stress level increment. In a specific embodiment, if 100MPa is set as the first stress level gradient and the stress level increment is set to 50MPa, then the second stress level gradient is 150MPa, the third working condition gradient is 200MPa, and so on. The number of stress level gradients is consistent with the number of fatigue test samples.

[0109] Therefore, the mechanical performance evaluation index corresponding to the output shaft samples of the second type of motor was analyzed, and the specific analysis method is as follows:

[0110] Plot the torque variation curves of each torque test sample within a set testing period using each testing time point as the x-axis and the torque magnitude as the y-axis. Simultaneously, retrieve the reference torque variation curves for each operating condition gradient within the set testing period from memory. Compare the overlap between the torque variation curves of each torque test sample within the set testing period and the reference torque variation curves for each operating condition gradient within the set testing period to obtain the overlap length of the torque variation curves of each torque test sample within the set testing period, denoted as L. x x represents the number of each torque test sample, x = 1, 2, ..., p, and p represents the total number of torque test sample numbers;

[0111] Obtain the value of the length of the reference torque change curve for each working condition gradient within the set detection period, and denote it as L0;

[0112] The maximum and minimum torque values ​​are extracted from the torque variation curves of each torque test sample within the set testing period, and denoted as follows: The maximum and minimum reference torque values ​​are extracted from the reference torque variation curves of each working condition gradient within the set detection period, and denoted as follows: According to the formula The torque stability coefficient TW corresponding to the torque test sample is calculated. γ1, γ2, and γ3 represent the weights of the torque stability coefficients corresponding to the set torque change curve overlap length, maximum torque value, and minimum torque value, respectively.

[0113] Example 5:

[0114] The total number of torque test samples is set to p = 3, with weights γ1 = 0.5, γ2 = 0.3, γ3 = 0.2, and the reference curve length L0 = 100. The maximum and minimum reference torque values ​​are as follows:

[0115]

[0116] The torque test sample data is as follows:

[0117] Sample number Curve coincidence length Maximum sample torque Minimum torque of the sample 1 80 49 31 2 70 51 29 3 85 48 32

[0118] The calculation process for the torque stability coefficient of the torque test sample is as follows:

[0119]

[0120] The fatigue life of each fatigue test sample is extracted, and the reference fatigue life at each stress level is retrieved from the memory. The fatigue life of each fatigue test sample is compared with the reference fatigue life at each stress level. If the fatigue life of a fatigue test sample is greater than or equal to the reference fatigue life at a certain stress level, the fatigue test sample is recorded as a sample that meets the fatigue strength standard. If the fatigue life of a fatigue test sample is less than the reference fatigue life at a certain stress level, the fatigue test sample is recorded as a sample that does not meet the fatigue strength standard. The number of samples that meet the fatigue strength standard and the number of samples that do not meet the fatigue strength standard are counted and denoted as PD and PB, respectively.

[0121] According to the formula The fatigue strength coefficient PX corresponding to the fatigue test samples is calculated. ε1 and ε2 represent the weights of the fatigue strength coefficients corresponding to the number of samples meeting the fatigue strength standard and the number of samples failing the fatigue strength standard, respectively. The weights can be determined through: Experience-based judgment: Experts / engineers subjectively set ε1 based on industry experience and product requirements. For example, if meeting the standard is emphasized, ε1 is set high. Data statistics: Historical data is used to analyze the impact of meeting / failing standards on product performance and statistically determine the weights. Analytic Hierarchy Process (AHP): A hierarchical structure is constructed to compare the importance of factors and calculate weights, providing a more systematic approach. Goal-oriented approach: Based on the company's quality goals, such as strictly controlling non-compliance, the weight of ε2 is increased to balance the impact of both.

[0122] Example 6:

[0123] Data from 25 samples were collected. The weights of the fatigue strength coefficients corresponding to the number of samples that met the fatigue strength standard and the number of samples that did not meet the fatigue strength standard were set as follows: ε1 = 0.6 and ε2 = 0.4, respectively.

[0124] Then, fatigue tests were conducted on 25 samples. The results showed that 18 samples met the fatigue strength standard, while 7 samples failed to meet the fatigue strength standard.

[0125] The calculation process for the fatigue strength coefficient of the fatigue test sample is as follows:

[0126]

[0127] The mechanical performance evaluation index JX corresponding to the output shaft sample of the second type of motor is calculated according to the formula JX=TW×z1+PX×z2. z1 and z2 represent the weight of the mechanical performance evaluation index corresponding to the set torque stability coefficient and fatigue strength coefficient, respectively.

[0128] Example 7:

[0129] The weights of the torque stability coefficient and fatigue strength coefficient corresponding to the mechanical performance evaluation index are set as z1 = 0.5 and z2 = 0.5, respectively. The mechanical performance evaluation index is calculated using the data from Examples 5 and 6: JX = 1.044 × 0.5 + 1.8606 × 0.5 = 0.522 + 0.9303 = 1.4523.

[0130] In one specific embodiment, the present invention combines the torque stability coefficient of the torque test sample and the fatigue strength coefficient of the fatigue test sample to comprehensively analyze the mechanical performance evaluation index corresponding to the two types of motor output shaft samples. This simulates the extreme conditions that the motor output shaft samples may face in actual use, and comprehensively examines the performance changes of the motor output shaft samples under different conditions, thereby making the evaluation more realistic and reliable.

[0131] The dynamic performance testing module tests the dynamic performance of the output shaft samples of the three types of motors, and obtains the dynamic performance parameters of the output shaft samples of the three types of motors. The specific testing method is as follows:

[0132] The output shaft samples of each of the three types of motors were divided into radial runout test samples and axial runout test samples.

[0133] Each radial runout test sample is placed and fixed on the testing platform. Periodic simulated external forces are applied to the radial horizontal direction of the sample in a set manner to simulate the radial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external forces, the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction is detected by a high-precision displacement sensor to obtain the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction. At the same time, the vibration amplitude of each radial runout test sample is detected by a vibration sensor to obtain the vibration amplitude of each radial runout test sample. The noise decibel value of each radial runout test sample at each detection time point is detected by a sound sensor to obtain the noise decibel value of each radial runout test sample at each detection time point.

[0134] Each axial movement test sample is placed and fixed on the testing platform. Periodic simulated external force is applied to the sample in the axial horizontal direction according to a set method to simulate the axial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external force, the displacement change value of each axial movement test sample in the axial horizontal direction at each detection time point is detected by a high-precision displacement sensor to obtain the displacement change value of each axial movement test sample in the axial horizontal direction at each detection time point. At the same time, the vibration amplitude of each axial movement test sample is detected by a vibration sensor to obtain the vibration amplitude of each axial movement test sample. The noise decibel value of each axial movement test sample at each detection time point is detected by a sound sensor to obtain the noise decibel value of each axial movement test sample at each detection time point.

[0135] Based on this, the dynamic performance evaluation indexes corresponding to the three types of motor output shaft samples were analyzed, and the specific analysis method is as follows:

[0136] The maximum displacement change value is extracted from the displacement change values ​​of each radially axial movement test sample at each detection time point in the radial horizontal direction, and denoted as . q represents the number of each radial runout test sample, q = 1, 2, ..., m, where m represents the total number of radial runout test sample numbers. The vibration amplitude of each radial runout test sample is extracted and denoted as ZF. q ;

[0137] The noise decibel value at each detection time point in the radial horizontal direction of each radially axial movement test sample is subtracted from the set permissible noise decibel value to obtain the noise decibel value deviation of each radially axial movement test sample at each detection time point in the radial horizontal direction. The maximum and minimum noise decibel value deviations are then extracted and denoted as follows: According to the formula

[0138] Calculate the radial runout coefficient CD1 of the radial runout test sample. ZF′、 The values ​​are represented as the set reference maximum radial displacement change value, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation. η1, η2, η3, and η4 represent the weighting of the axial displacement coefficients corresponding to the set maximum radial displacement change value, vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation, respectively.

[0139] Example 8:

[0140] The number of samples was set to 3. The reference values ​​for maximum radial displacement change, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation were 0.1 mm, 14 μm, 7 dB, and -4 dB, respectively. The weights η1, η2, η3, and η4 were 0.3, 0.2, 0.3, and 0.2, respectively.

[0141] The basic data of the sample are as follows:

[0142]

[0143]

[0144] The radial runout coefficient of the test sample is as follows:

[0145] Sample 1 Item Sum: Sample 2 sub-items sum: Sample 3 items sum: but The maximum displacement change value is extracted from the displacement change values ​​of each axially oriented test sample at each detection time point in the horizontal direction, and denoted as . r represents the number of each axial movement test sample, r = 1, 2, ..., n, where n represents the total number of axial movement test sample numbers. The vibration amplitude of each axial movement test sample is extracted and denoted as ZF. r ;

[0146] The noise decibel value at each detection time point in the axial horizontal direction of each axial movement test sample is subtracted from the set permissible noise decibel value to obtain the noise decibel value deviation of each axial movement test sample at each detection time point in the axial horizontal direction. The maximum and minimum noise decibel value deviations are then extracted and denoted as follows: Based on the formula:

[0147] The axial movement coefficient CD2 of the axial movement test sample was calculated. ZF′、 The values ​​are represented as the set reference maximum radial displacement change value, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation. σ1, σ2, σ3, and σ4 represent the weighting of the axial displacement coefficients corresponding to the set maximum displacement change value, vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation, respectively.

[0148] Example 9:

[0149] The specific data for the axial movement test samples are as follows:

[0150]

[0151] The reference values ​​for maximum radial displacement variation, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation are set to 0.12 mm, 15 μm, 8 dB, and -5 dB, respectively; and the weights σ1, σ2, σ3, and σ4 are 0.3, 0.2, 0.3, and 0.2, respectively.

[0152] Sample 1 Item Sum:

[0153] Sample 2 sub-items sum:

[0154] Sample 3 items sum:

[0155] but

[0156] According to the formula The dynamic performance evaluation index DX corresponding to the three types of motor output shaft samples is calculated. v1 and v2 represent the weights of the dynamic performance evaluation index corresponding to the set radial axial movement test sample and the axial movement test sample, respectively.

[0157] Example 10:

[0158] The weights of the dynamic performance evaluation index corresponding to the radial axial movement coefficient of the test sample and the axial movement coefficient of the test sample are set as follows: v1 = 0.4, v2 = 0.6. Based on the data from Examples 8 and 9, the calculation process of the dynamic performance evaluation index corresponding to the three types of motor output shaft samples is as follows:

[0159]

[0160] In one specific embodiment, the present invention applies periodic simulated external forces to each radial and axial axial axial movement test sample to simulate the radial and axial horizontal disturbance forces experienced by the motor output shaft during actual operation. This allows for the analysis of the dynamic performance evaluation index of the three types of motor output shaft samples, comprehensively examining their dynamic performance. The evaluation results provide direct guidance for the design optimization and manufacturing process improvement of the motor output shaft, helping to improve the overall quality and performance of the motor output shaft and meet the stringent requirements of industrial equipment for the dynamic performance of the motor output shaft.

[0161] The deployment judgment module is used to determine whether the motor output shaft samples formed by the precision forging process in the current batch can be used in industrial equipment, and to provide corresponding feedback. The specific judgment method is as follows:

[0162] According to the formula Calculate the comprehensive performance evaluation index KC for the current batch of motor output shaft samples. u1, u2, and u3 represent the weights of the comprehensive performance evaluation index corresponding to the quality performance evaluation index of Class I motor output shaft samples, the mechanical performance evaluation index of Class II motor output shaft samples, and the dynamic performance evaluation index of Class III motor output shaft samples, respectively.

[0163] Example 11: Quality performance evaluation index for Class I motor output shaft samples, mechanical performance evaluation index for Class II motor output shaft samples, and dynamic performance evaluation index for Class III motor output shaft samples, based on Examples 4, 7, and 10;

[0164] Set the weights to u1 = 0.4, u2 = 0.3, u3 = 0.3;

[0165] but

[0166] The comprehensive performance evaluation index KC of the current batch of motor output shaft samples is compared with the set comprehensive performance evaluation index threshold. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is greater than or equal to the preset comprehensive performance evaluation index threshold, then the current batch of motor output shaft samples is determined to be usable in industrial equipment. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is less than the preset comprehensive performance evaluation index threshold, then the current batch of motor output shaft samples is determined to be unusable in industrial equipment. The preset comprehensive performance evaluation index threshold is 100. The comprehensive performance evaluation index KC of the current batch of motor output shaft samples is 112.425. Since 112.425 ≥ 100, the condition of "comprehensive performance evaluation index greater than or equal to the preset threshold" is met. Therefore, it is determined that "the current batch of motor output shaft samples can be used in industrial equipment."

[0167] It should be noted that the specific process of the above feedback work is as follows: when it is determined that the current batch of motor output shaft samples can be used in industrial equipment, the staff will be notified via SMS that the current batch of motor output shaft samples can be used for industrial equipment assembly; when it is determined that the current batch of motor output shaft samples cannot be used in industrial equipment, the staff will be notified via SMS that there are problems with the production conditions of the current batch of motor output shaft samples, and the production conditions need to be changed in time for retesting.

[0168] In one specific embodiment, the present invention forms a comprehensive performance evaluation index for the current batch of motor output shaft samples from three perspectives: quality performance, mechanical performance, and dynamic performance. Based on this index, it can more accurately determine whether the current batch of motor output shaft samples can be used for industrial equipment assembly, provide timely online feedback, and offer decision-making suggestions and data support to staff. This makes the motor output shaft testing process more flexible and efficient, and can continuously adapt to market demands and changing testing environments, thus helping to improve the overall performance of the motor output shaft.

[0169] The memory is used to store the standard profile model of the motor output shaft, the reference torque change curves of each working condition gradient within a set detection period, and the reference fatigue life under each stress level.

[0170] Example 2

[0171] Please see Figure 2 As shown, the present invention is a detection method for the output shaft of a motor, comprising the following steps:

[0172] S1: Sample Acquisition and Classification: Extract several motor output shaft samples from the current batch of motor output shaft samples formed by precision forging process, and divide them into three categories of motor output shaft samples, each category of motor output shaft samples, and each category of motor output shaft samples according to an equal ratio.

[0173] S2: Quality performance testing: The quality performance of each type of motor output shaft sample is tested to obtain the quality performance parameters of each type of motor output shaft sample. Based on this, the quality performance evaluation index of the type of motor output shaft sample is analyzed to obtain the quality performance evaluation index of the type of motor output shaft sample.

[0174] S3: Mechanical performance testing: The mechanical performance of each type II motor output shaft sample is tested to obtain the mechanical performance parameters of each type II motor output shaft sample. Based on this, the mechanical performance evaluation index of the type II motor output shaft sample is analyzed to obtain the mechanical performance evaluation index of the type II motor output shaft sample.

[0175] S4: Dynamic performance testing: The dynamic performance of the output shaft samples of the three types of motors is tested to obtain the dynamic performance parameters of the output shaft samples of the three types of motors. Based on this, the dynamic performance evaluation index of the output shaft samples of the three types of motors is analyzed to obtain the dynamic performance evaluation index of the output shaft samples of the three types of motors.

[0176] S5: Use Determination: Determine whether the motor output shaft samples formed by the precision forging process of the current batch can be used in industrial equipment, and provide corresponding feedback.

[0177] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A detection system for the output shaft of a motor, characterized in that, include: The sample acquisition and classification module is used to extract several motor output shaft samples from the motor output shaft samples formed by the precision forging process in the current batch, and divide them into three categories of motor output shaft samples according to an equal ratio. The quality performance testing module is used to test the quality performance of each type of motor output shaft sample, obtain the quality performance parameters of each type of motor output shaft sample, and analyze the quality performance evaluation index of the type of motor output shaft sample to obtain the quality performance evaluation index of the type of motor output shaft sample. The mechanical performance testing module is used to test the mechanical performance of each type II motor output shaft sample, obtain the mechanical performance parameters of each type II motor output shaft sample, and analyze the mechanical performance evaluation index of the type II motor output shaft sample to obtain the mechanical performance evaluation index of the type II motor output shaft sample. The dynamic performance testing module is used to test the dynamic performance of the output shaft samples of the three types of motors, obtain the dynamic performance parameters of the output shaft samples of the three types of motors, and analyze the dynamic performance evaluation index of the output shaft samples of the three types of motors to obtain the dynamic performance evaluation index of the output shaft samples of the three types of motors. The deployment judgment module is used to determine whether the motor output shaft samples formed by the precision forging process in the current batch can be put into use in industrial equipment and to provide corresponding feedback. The specific method for determining whether the current batch of motor output shaft samples can be used in industrial equipment is as follows: According to the formula Calculate the comprehensive performance evaluation index of the current batch of motor output shaft samples. , This represents the quality performance evaluation index corresponding to a type of motor output shaft sample. This represents the mechanical performance evaluation index corresponding to the output shaft sample of the second type of motor. This represents the dynamic performance evaluation index corresponding to the output shaft samples of the three types of motors. These represent the weighted proportions of the comprehensive performance evaluation indices corresponding to the quality performance evaluation index for Class I motor output shaft samples, the mechanical performance evaluation index for Class II motor output shaft samples, and the dynamic performance evaluation index for Class III motor output shaft samples, respectively. The comprehensive performance evaluation index of the current batch of motor output shaft samples is compared with the set comprehensive performance evaluation index threshold. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is greater than or equal to the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples can be used in industrial equipment. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is less than the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples cannot be used in industrial equipment.

2. The detection system for the output shaft of a motor according to claim 1, characterized in that, The quality performance of each type of motor output shaft sample is tested to obtain the quality performance parameters of each type of motor output shaft sample. The specific testing method is as follows: The output shaft samples of each type of motor are scanned by a laser 3D scanner to obtain the contour detection model of each type of motor output shaft sample. Based on the edge detection algorithm, the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample are identified, thus obtaining the detection values ​​of each contour shape feature on the contour detection model of each type of motor output shaft sample. Test points are evenly distributed on each type of motor output shaft sample to obtain each test point of each type of motor output shaft sample. The surface roughness of each test point of each type of motor output shaft sample is detected by a roughness measuring instrument to obtain the surface roughness of each test point of each type of motor output shaft sample. The surface images of each type of motor output shaft sample were acquired using an industrial camera. Based on image recognition technology, crack and scratch areas were extracted from each type of motor output shaft sample. The number of crack and scratch areas for each type of motor output shaft sample was then counted. The length and width of each crack area and the depth and length of each scratch area were extracted and then accumulated to obtain the total length, width, depth, and length of the crack area for each type of motor output shaft sample. These were then used as the crack length, crack width, scratch depth, and scratch length for each type of motor output shaft sample, respectively.

3. The detection system for the output shaft of a motor according to claim 1, characterized in that, The quality performance evaluation index corresponding to a certain type of motor output shaft sample is analyzed to obtain the quality performance evaluation index corresponding to a certain type of motor output shaft sample. The specific analysis method is as follows: The contour shape feature detection values ​​of each type of motor output shaft sample are extracted from the quality performance parameters of each type of motor output shaft sample contour detection model, and denoted as... Simultaneously, the standard contour model of the motor output shaft is retrieved from the memory, and the standard feature detection values ​​of each contour shape are extracted from it, denoted as... , i represents the number of each type of motor output shaft sample, i=1,2,....,a, a represents the total number of type of motor output shaft sample numbers, j represents the number of each contour shape feature, j=1,2,....,b, b represents the total number of contour shape feature numbers; According to the formula Calculate the dimensional accuracy of the production dimensions of each type of motor output shaft sample. Where e represents the natural constant; The surface roughness of each test point of each type of motor output shaft sample is extracted, and the maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness are selected and denoted as follows: ; According to the formula Calculate the surface roughness uniformity of each type of motor output shaft sample. , This is represented as the set reference surface roughness. These represent the weights of the surface roughness uniformity corresponding to the set maximum surface roughness, minimum surface roughness, median surface roughness, and mode surface roughness, respectively. The number of cracked areas and scratched areas of each type of motor output shaft sample were extracted and denoted as follows: Simultaneously, the crack length, crack width, scratch depth, and scratch length of each type of motor output shaft sample were extracted and denoted as follows: The defect degree of each type of motor output shaft sample was obtained through comprehensive analysis. ; According to the formula Calculate the quality performance evaluation index corresponding to a type of motor output shaft sample. , These represent the weighted proportions of the quality performance evaluation indices corresponding to the set production dimensional accuracy, surface roughness uniformity, and defect rate.

4. The detection system for the output shaft of a motor according to claim 1, characterized in that, The mechanical properties of each type II motor output shaft sample are tested to obtain the mechanical property parameters of each type II motor output shaft sample. The specific testing method is as follows: Each type of motor output shaft sample was divided into torque test samples and fatigue test samples. Torque test conditions for each working condition gradient were set, and the torque test conditions were numbered in order from low to high working conditions. The numbering order of the torque test samples for each working condition corresponded one-to-one with the numbering of the torque test conditions for each working condition gradient. Then, each torque test sample was tested for torque in turn under its corresponding working condition gradient torque test conditions. At the same time, the torque magnitude of each torque test sample at each test time point within the set test period was detected by a torque sensor, so as to obtain the torque magnitude of each torque test sample at each test time point within the set test period. Fatigue test conditions were set for each stress level gradient, and each fatigue test condition was numbered in order of increasing stress level. The numbering sequence of each fatigue test sample was matched one-to-one with the numbering sequence of each stress level gradient fatigue test condition. Then, each fatigue test sample was subjected to fatigue test under its corresponding stress level gradient fatigue test condition in sequence. When obvious cracks appeared in each fatigue test sample, the test was stopped and this was taken as the fatigue failure standard. At the same time, the number of cycles that each fatigue test sample reached the fatigue failure standard was detected by a counter, and the number of cycles for each fatigue test sample was obtained as the fatigue life of each fatigue test sample.

5. The detection system for the output shaft of a motor according to claim 1, characterized in that, The mechanical performance evaluation index corresponding to each type of motor output shaft sample is analyzed to obtain the mechanical performance evaluation index corresponding to each type of motor output shaft sample. The specific analysis method is as follows: Using each detection time point as the x-axis and the torque magnitude as the y-axis, plot the torque change curve of each torque test sample within the set detection period. At the same time, extract the reference torque change curve of each working condition gradient within the set detection period from the memory. The torque variation curves of each torque test sample within a set testing period are compared with the reference torque variation curves of each operating condition gradient within the set testing period to obtain the overlap length of the torque variation curves of each torque test sample within the set testing period, denoted as . x represents the number of each torque test sample, x=1,2,....,p, and p represents the total number of torque test sample numbers; Obtain the numerical value of the reference torque change curve length for each working condition gradient within the set detection period, denoted as . ; The maximum and minimum torque values ​​are extracted from the torque variation curves of each torque test sample within the set testing period, and denoted as follows: The maximum and minimum reference torque values ​​are extracted from the reference torque variation curves of each working condition gradient within the set detection period, and are denoted as follows: ; According to the formula Calculate the torque stability coefficient corresponding to the torque test sample. , These represent the weighted proportions of the torque stability coefficient corresponding to the set torque variation curve overlap length, maximum torque value, and minimum torque value, respectively. The fatigue life of each fatigue test sample is extracted, and the reference fatigue life under each stress level is extracted from the memory. The fatigue life of each fatigue test sample is compared with the reference fatigue life at each stress level. If the fatigue life of a sample is greater than or equal to the reference fatigue life at a certain stress level, the sample is recorded as meeting the fatigue strength standard. If the fatigue life of a sample is less than the reference fatigue life at a certain stress level, the sample is recorded as failing the fatigue strength standard. The number of samples meeting the fatigue strength standard and the number of samples failing the fatigue strength standard are then counted and denoted as follows: ; According to the formula Calculate the fatigue strength coefficient corresponding to the fatigue test sample. , These represent the weighted proportions of the fatigue strength coefficient corresponding to the number of samples that meet the fatigue strength standard and the number of samples that do not meet the fatigue strength standard, respectively. According to the formula Calculate the mechanical performance evaluation index corresponding to the output shaft sample of the second type of motor. , These represent the weighting of the mechanical performance evaluation index corresponding to the set torque stability coefficient and fatigue strength coefficient, respectively.

6. The detection system for the output shaft of a motor according to claim 1, characterized in that, The dynamic performance of the output shaft samples of the three types of motors is tested to obtain the dynamic performance parameters of the output shaft samples of the three types of motors. The specific testing method is as follows: The output shaft samples of each of the three types of motors were divided into radial runout test samples and axial runout test samples. Each radial runout test sample is placed and fixed on the testing platform. Periodic simulated external forces are applied to the radial horizontal direction of the sample in a set manner to simulate the radial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external forces, the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction is detected by a high-precision displacement sensor to obtain the displacement change value of each radial runout test sample at each detection time point in the radial horizontal direction. At the same time, the vibration amplitude of each radial runout test sample is detected by a vibration sensor to obtain the vibration amplitude of each radial runout test sample. The noise decibel value of each radial runout test sample at each detection time point is detected by a sound sensor to obtain the noise decibel value of each radial runout test sample at each detection time point. Each axial movement test sample is placed and fixed on the testing platform. Periodic simulated external forces are applied to the sample in the axial horizontal direction according to a set method to simulate the axial horizontal disturbance force experienced by the motor output shaft during actual operation. During the application of external forces, the displacement change value of each axial movement test sample in the axial horizontal direction at each detection time point is detected by a high-precision displacement sensor, and the vibration amplitude of each axial movement test sample is detected by a vibration sensor, and the noise decibel value of each axial movement test sample at each detection time point is detected by a sound sensor.

7. The detection system for the output shaft of a motor according to claim 1, characterized in that, The dynamic performance evaluation indexes corresponding to the three types of motor output shaft samples were analyzed to obtain the dynamic performance evaluation indexes corresponding to the three types of motor output shaft samples. The specific analysis method is as follows: The maximum displacement change value is extracted from the displacement change values ​​of each radially axial movement test sample at each detection time point in the radial horizontal direction, and denoted as . Let q represent the number of each radial axial movement test sample, q = 1, 2, ..., m, where m represents the total number of radial axial movement test sample numbers. The vibration amplitude of each radial axial movement test sample is extracted and denoted as... ; The noise decibel value at each detection time point in the radial horizontal direction of each radially axial movement test sample is subtracted from the set permissible noise decibel value to obtain the noise decibel value deviation of each radially axial movement test sample at each detection time point in the radial horizontal direction. The maximum and minimum noise decibel value deviations are then extracted and denoted as follows: ; According to the formula Calculate the radial runout coefficient of the test sample. e represents the natural constant. This is represented by the set reference maximum radial displacement change value, radial vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation. These represent the weighted proportions of the axial displacement coefficients corresponding to the set maximum radial displacement change, vibration amplitude, maximum noise decibel deviation, and minimum noise decibel deviation, respectively. Similarly, the axial movement coefficient of the axial movement test sample is obtained through analysis. ; According to the formula Calculate the dynamic performance evaluation index corresponding to the output shaft samples of the three types of motors. , These represent the weighted proportions of the dynamic performance evaluation index corresponding to the radial axial ...

8. A method for using a detection system for a motor output shaft as described in any one of claims 1-7, characterized in that, Includes the following steps: S1: Sample Acquisition and Classification: Extract several motor output shaft samples from the current batch of motor output shaft samples formed by precision forging process, and divide them into three categories of motor output shaft samples, each category of motor output shaft samples, and each category of motor output shaft samples according to an equal ratio. S2: Quality performance testing: The quality performance of each type of motor output shaft sample is tested to obtain the quality performance parameters of each type of motor output shaft sample. Based on this, the quality performance evaluation index of the type of motor output shaft sample is analyzed to obtain the quality performance evaluation index of the type of motor output shaft sample. S3: Mechanical performance testing: The mechanical performance of each type II motor output shaft sample is tested to obtain the mechanical performance parameters of each type II motor output shaft sample. Based on this, the mechanical performance evaluation index of the type II motor output shaft sample is analyzed to obtain the mechanical performance evaluation index of the type II motor output shaft sample. S4: Dynamic performance testing: The dynamic performance of the output shaft samples of the three types of motors is tested to obtain the dynamic performance parameters of the output shaft samples of the three types of motors. Based on this, the dynamic performance evaluation index of the output shaft samples of the three types of motors is analyzed to obtain the dynamic performance evaluation index of the output shaft samples of the three types of motors. S5: Use Determination: Determine whether the motor output shaft samples formed by the precision forging process of the current batch can be used in industrial equipment, and provide corresponding feedback; The specific method for determining whether the current batch of motor output shaft samples can be used in industrial equipment is as follows: According to the formula Calculate the comprehensive performance evaluation index of the current batch of motor output shaft samples. , This represents the quality performance evaluation index corresponding to a type of motor output shaft sample. This represents the mechanical performance evaluation index corresponding to the output shaft sample of the second type of motor. This represents the dynamic performance evaluation index corresponding to the output shaft samples of the three types of motors. These represent the weighted proportions of the comprehensive performance evaluation indices corresponding to the quality performance evaluation index for Class I motor output shaft samples, the mechanical performance evaluation index for Class II motor output shaft samples, and the dynamic performance evaluation index for Class III motor output shaft samples, respectively. The comprehensive performance evaluation index of the current batch of motor output shaft samples is compared with the set comprehensive performance evaluation index threshold. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is greater than or equal to the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples can be used in industrial equipment. If the comprehensive performance evaluation index of the current batch of motor output shaft samples is less than the preset comprehensive performance evaluation index threshold, it is determined that the current batch of motor output shaft samples cannot be used in industrial equipment.

Images