Clutch production monitoring method

By meticulously monitoring the production process of key components of the clutch, including the detection and monitoring of raw materials and machine tool parameters, the problem of failure to effectively consider raw materials and machine tool abnormalities in the prior art is solved, and higher product quality and performance are achieved, reducing the number of Failure rate and extend service life.

CN119457989APending Publication Date: 2025-02-18QINGDAO CENTURY TAIYANG PRECISION CO LTD

Patent Information

Application Number
CN202411564995.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-05
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

The existing clutch production monitoring technology fails to effectively consider the impact of parts raw materials and machine tool abnormalities on the production process, resulting in the inability to directly rule out the reasons for production failure, which complicates production monitoring.

Method used

By determining the dimension information and usage types of all assembled parts of the clutch, the performance of raw materials is checked, and the machine tool working parameters are monitored during the processing process, the edge roughness of the parts is detected, and corresponding subsequent monitoring measures are taken according to the abnormal type.

Benefits of technology

It ensures product quality and performance, improves the overall performance and reliability of the clutch, reduces the failure rate and extends the service life, effectively identifying and solving problems such as uneven stress distribution of raw materials or abnormal machine tools.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of clutch production testing, in particular to a clutch production monitoring method, which comprises the following steps: determining all assembly parts of a single clutch and the size information of each part, determining the use type of each assembly part, acquiring raw materials of each assembly part, performing performance inspection on the raw materials, and recording a detection result; according to the size information of all the assembly parts, raw materials of all the assembly parts are machined, and meanwhile machine tool working parameters of a machining machine tool are detected; the edge of each assembled part is detected, the roughness degree is determined, and the machining abnormity type of the current assembled part is determined; determining a follow-up machining monitoring mode of the currently assembled part; according to the part abnormity tracing mode, tracing is carried out to determine part abnormity and exclude the part abnormity; by setting two sets of different machining qualification standards, the requirements under different use conditions are more accurately met, the overall performance and reliability of the clutch are improved, the failure rate is reduced, and the service life is prolonged.
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Description

Technical Field

[0001] The present invention relates to the technical field of clutch production testing, and in particular to a clutch production monitoring method. Background Art

[0002] Existing clutch production monitoring technology mainly relies on the inspection of raw material properties, dimensional information and processing quality of each clutch assembly part. During the production process, a series of testing and inspection steps are carried out to ensure that the raw materials meet the specified performance standards, such as hardness, tensile strength and wear resistance. During the processing stage, the operating parameters of the processing machine tools, such as cutting speed, feed rate and machine tool vibration, are monitored to ensure processing accuracy and surface quality. In addition, the edge roughness of the parts is measured to evaluate the micro-geometric characteristics of the processed parts.

[0003] Chinese Patent Publication No.: CN110068432B, discloses an online detection system for an automobile intelligent clutch production line, including a manipulator conveying part, a control part, a signal acquisition part and a data analysis part; the manipulator conveying part is used to select the produced intelligent clutch to the detection system; the control part is responsible for the signal and load input of the entire detection system; the signal acquisition part is responsible for the collection of the intelligent clutch feedback signal; the data analysis part is responsible for the analysis of the collected signals to determine whether the automobile intelligent clutch meets the technical requirements; it can be seen that the online detection system for the automobile intelligent clutch production line has the following problems: it does not consider the impact of the raw materials of clutch parts and machine tool abnormalities on the production process during the production process, and cannot directly eliminate the reasons why the production does not meet the requirements, which complicates production monitoring. Summary of the invention

[0004] To this end, the present invention provides a clutch production monitoring method to overcome the problem that the prior art does not consider the impact of clutch parts raw materials and machine tool abnormalities on the production process, cannot directly eliminate the reasons why production does not meet requirements, and complicates production monitoring.

[0005] To achieve the above object, the present invention provides a clutch production monitoring method, comprising: Step S1, determining all assembly parts of a single clutch and the size information of each part, and determining the usage type of each assembly part, the usage type including a critical usage type and a balanced usage type; Step S2, obtaining raw materials for each assembly part, and performing performance tests on each raw material, and recording the test results; Step S3, processing the raw materials of each of the assembly parts according to the size information of each of the assembly parts, and detecting the machine tool working parameters of the processing machine tool during the processing, the machine tool working parameters including machine tool processing parameters and machine tool vibration parameters; Step S4, detecting the edge of each assembled part, and determining the corresponding roughness, and determining the type of processing abnormality of the current assembled part in combination with the usage type of the part; Step S5, determining a subsequent processing monitoring method for the current assembled part according to the processing abnormality type of the assembled part, the processing monitoring method includes: Assembling all the assembled parts to obtain a clutch, and performing assembly inspection, judging whether the clutch is qualified according to the inspection results, and determining the edge roughness discreteness according to the inspection results of the edges of each assembled part, and determining the part abnormality tracing method according to the edge roughness discreteness; Step S6, tracing is performed according to the part abnormality tracing method to determine the processing adjustment method.

[0006] Further, in the step S1, the entire assembly parts include a friction plate, a pressure plate, a main shaft, a spring, a housing, connecting bolts and a positioning pin; Among them, the usage type of the main shaft, the friction plate and the pressure plate is a key usage type, and the usage type of the spring, the housing, the connecting bolt and the locating pin is a balanced usage type.

[0007] Furthermore, in step S4, the process of determining the edge roughness of each of the assembled parts includes: Determining edge detection locations of each assembled part according to the size information of each part; Performing a roughness test on each edge detection portion and recording the test results; The edge roughness is determined based on the test results.

[0008] Furthermore, in step S4, the step of determining the processing abnormality type of the current assembled part includes: Determine the corresponding processing qualification standards according to the usage type of the current assembly parts; If the current assembled parts meet the processing qualification conditions, the processing abnormality type is determined to be a hidden processing abnormality type; If the current assembled parts do not meet the processing qualification conditions, the processing abnormality type is determined to be an explicit processing abnormality type.

[0009] Further, the processing qualification condition is that the usage type of the current assembly part is a balanced usage type and meets the first type of processing qualification standard, or the usage type of the current assembly part is a key usage type and meets the second type of processing qualification standard; Among them, the first type of processing qualification standards are the same as the processing qualification standards corresponding to each assembly part.

[0010] Furthermore, in the step S5, the process of determining the subsequent processing monitoring method for the current assembled part according to the processing abnormality type of the assembled part includes: If the processing abnormality type is a hidden processing abnormality type, the determined subsequent processing monitoring method is to assemble all the assembly parts to obtain a clutch, and perform an assembly inspection, and determine whether the clutch is qualified according to the inspection result; If the processing abnormality type is an explicit processing abnormality type, the subsequent processing monitoring method is to determine the edge roughness discreteness according to the detection results of the edges of the assembled parts, and determine the part abnormality tracing method according to the edge roughness discreteness.

[0011] Furthermore, in step S5, an assembly inspection is performed, and whether the clutch is qualified is determined according to the inspection result, including: Performing a static simulation test on the clutch and recording the offset of the axis; If the offset is less than a preset offset, the clutch is determined to be qualified; If the offset is greater than or equal to a preset offset, the clutch is determined to be unqualified.

[0012] Furthermore, in the step S5, the part abnormality tracing method is determined according to the edge roughness discreteness. If the edge roughness discreteness is greater than the standard edge roughness discreteness, the abnormal part tracing method is that the stress distribution of the raw material is uneven; If the edge roughness discreteness is less than or equal to the standard edge roughness discreteness, the part abnormality tracing method is that the processing machine tool has an abnormality.

[0013] Furthermore, in step S6, if the part abnormality tracing method is that the processing machine tool has an abnormality, a processing adjustment method is determined according to the machine tool vibration parameters of the processing machine tool. If the machine tool vibration parameter is greater than the standard machine tool vibration parameter, the processing adjustment method is to determine that the machine tool body is abnormal; If the machine tool vibration parameter is less than or equal to the standard machine tool vibration parameter, the processing adjustment method is to adjust the machine tool processing parameter of the machine tool body.

[0014] Furthermore, in step S6, if the part abnormality tracing method is that the stress distribution of the raw material is uneven, the processing adjustment method is to reduce the stress of the raw material or replace the raw material.

[0015] Compared with the prior art, the beneficial effect of the present invention is that the present invention ensures product quality and performance by carefully monitoring the production process of key clutch components, including determining the size information and usage type of all assembled parts of the clutch, performing performance inspection on raw materials, monitoring machine tool operating parameters during processing, detecting the edge roughness of parts, and taking corresponding follow-up monitoring measures according to the abnormal type. The present invention sets two different sets of processing qualification standards to more accurately meet the requirements under different use conditions, especially providing higher precision requirements for key components such as spindles, friction plates and pressure plates, which not only improves the overall performance and reliability of the clutch, but also reduces the failure rate and prolongs the service life. In addition, the present invention can effectively identify and solve problems such as uneven stress distribution of raw materials or abnormal machine tools, further improving production efficiency and product quality.

[0016] Furthermore, in the present invention, it is considered that the friction plate directly affects the clutch's gripping force and sliding characteristics, and determines the vehicle's acceleration and stability; the coaxiality and diameter accuracy of the main shaft affect the operating balance of the entire clutch, ensuring the effectiveness of power transmission; the design and manufacturing quality of the pressure plate directly affect the pressure applied to the friction plate, and thus affect the clutch's gripping ability and durability. Therefore, detailed monitoring of the production process of the above three parts is more conducive to improving the overall performance of the clutch.

[0017] Furthermore, in the present invention, by distinguishing between balanced use type and critical use type parts and setting two different sets of processing qualification standards, the production process can more accurately meet the requirements under different use conditions. In particular, the second type of processing qualification standards are more stringent than the first type, which provides higher precision requirements for key components such as the main shaft, friction plate and pressure plate, thereby improving the performance and reliability of the clutch as a whole, reducing the clutch failure rate and extending the service life of the clutch.

[0018] Furthermore, in the present invention, when it is detected that the edge roughness discreteness is greater than the standard edge roughness discreteness, it is judged that it is caused by the uneven stress distribution of the raw material. If the internal stress of the raw material is not properly released and homogenized, it will cause the surface roughness of the processed parts to be inconsistent, thereby affecting the accuracy and performance of the parts. On the contrary, if the edge roughness discreteness is less than or equal to the standard edge roughness discreteness, then the cause of the processing abnormality is a problem with the processing machine tool. The accuracy of the machine tool, the wear state of the tool, the setting of the cutting parameters, etc. directly affect the processing quality. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 It is a flow chart of the clutch production monitoring method according to an embodiment of the present invention; Figure 2 A logic diagram for determining a processing anomaly type of a currently assembled part according to an embodiment of the present invention; Figure 3 A logic diagram for judging whether a clutch is qualified according to an embodiment of the present invention; Figure 4 A logic diagram for determining a method for tracing abnormal parts according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0021] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0022] See also Figure 1 As shown, it is a flow chart of a clutch production monitoring method according to an embodiment of the present invention; the present invention provides a clutch production monitoring method, comprising: Step S1, determining all assembly parts of a single clutch and the size information of each part, and determining the usage type of each assembly part, the usage type including a critical usage type and a balanced usage type; Step S2, obtaining raw materials for each assembly part, and performing performance tests on each raw material, and recording the test results; Step S3, processing the raw materials of each of the assembly parts according to the size information of each of the assembly parts, and detecting the machine tool working parameters of the processing machine tool during the processing, the machine tool working parameters including machine tool processing parameters and machine tool vibration parameters; Step S4, detecting the edge of each assembled part, and determining the corresponding roughness, and determining the type of processing abnormality of the current assembled part in combination with the usage type of the part; Step S5, determining a subsequent processing monitoring method for the current assembled part according to the processing abnormality type of the assembled part, the processing monitoring method includes: Assembling all the assembled parts to obtain a clutch, and performing assembly inspection, judging whether the clutch is qualified according to the inspection results, and determining the edge roughness discreteness according to the inspection results of the edges of each assembled part, and determining the part abnormality tracing method according to the edge roughness discreteness; Step S6, tracing is performed according to the part abnormality tracing method to determine the processing adjustment method.

[0023] In practice, raw materials that pass the performance test can be processed, and those that fail will not be machined.

[0024] In the production process of the clutch, the raw materials of various components such as friction plates, pressure plates, spindles, springs, housings, connecting bolts and locating pins must meet specific conditions and parameters to ensure that they have good mechanical properties, wear resistance and corrosion resistance during processing; Raw materials of friction plates: friction materials (such as composite materials, ceramics, metal-based composite materials), hardness HRC 30-50 (Brinell hardness); friction coefficient: 0.3-0.5 (dry friction), 0.4-0.6 (wet friction), temperature resistance: can withstand high temperatures of 300-500°C, wear resistance: wear rate ≤0.1mm / 1000km; Raw materials of pressure plate: cast iron, steel, aluminum alloy or composite material, hardness: HRC 40-60, strength: tensile strength ≥ 400MPa, fatigue strength ≥ 250MPa; The raw material of the spindle: alloy steel, carbon steel or stainless steel, hardness: HRC 40-60, strength: tensile strength ≥600MPa, toughness: impact toughness ≥30J; Spring raw materials: high carbon steel, alloy steel or stainless steel (such as 60Si2Mn, 65Mn), hardness: HRC 45-55, tensile strength ≥1000 MPa, elastic modulus: about 200 GPa, fatigue strength ≥250 MPa; Raw materials of the shell: cast iron, aluminum alloy or high-strength plastic, hardness: HRC 30-50 (cast iron), HBS 70-110 (aluminum alloy), strength: tensile strength ≥ 300 MPa, toughness: impact toughness ≥ 25 J; Raw materials for connecting bolts: alloy steel (such as 40Cr, 35CrMo), stainless steel (such as 304, 316), Hardness: HRC 25~45, tensile strength ≥ 800 MPa (alloy steel), ≥600 MPa (stainless steel), thread accuracy: must meet the relevant requirements of GB / T 1184 or ISO standards.

[0025] The raw materials of the positioning pins are carbon steel, alloy steel or stainless steel, hardness: HRC 40-50, tensile strength ≥ 600MPa.

[0026] The performance test is to test the above parameters of each assembled part, which is existing technology and will not be described in detail here.

[0027] The present invention ensures product quality and performance by carefully monitoring the production process of key clutch components, including determining the size information and usage type of all assembled parts of the clutch, performing performance inspection on raw materials, monitoring machine tool operating parameters during processing, detecting the edge roughness of parts, and taking corresponding follow-up monitoring measures according to the abnormality type. The present invention sets two different sets of processing qualification standards to more accurately meet the requirements under different use conditions, especially providing higher precision requirements for key components such as spindles, friction plates and pressure plates, which not only improves the overall performance and reliability of the clutch, but also reduces the failure rate and prolongs the service life. In addition, the present invention can effectively identify and solve problems such as uneven stress distribution of raw materials or abnormal machine tools, further improving production efficiency and product quality.

[0028] Specifically, in step S1, all the assembled parts include a friction plate, a pressure plate, a main shaft, a spring, a housing, connecting bolts and a positioning pin; Among them, the usage type of the main shaft, the friction plate and the pressure plate is a key usage type, and the usage type of the spring, the housing, the connecting bolt and the locating pin is a balanced usage type.

[0029] In practice, the friction plate directly affects the clutch's grip and sliding characteristics, determining the vehicle's acceleration and stability; the main shaft's coaxiality and diameter accuracy affect the entire clutch's operating balance, ensuring the effectiveness of power transmission; the pressure plate's design and manufacturing quality directly affect the pressure applied to the friction plate, and thus affect the clutch's grip and durability. Therefore, careful monitoring of the production process of the above three parts is more conducive to improving the overall performance of the clutch.

[0030] Specifically, in step S4, the process of determining the edge roughness of each of the assembled parts includes: Determining edge detection locations of each assembled part according to the size information of each part; Performing a roughness test on each edge detection portion and recording the test results; The edge roughness is determined based on the test results.

[0031] In practice, a contact roughness measuring instrument is used to detect the roughness of the edge. The roughness detection results usually include a series of surface roughness parameters, which can quantitatively describe the microscopic geometric characteristics of the part surface, that is, determine the edge roughness; The specific contents of surface roughness parameters include: Ra (arithmetic mean deviation) is the most commonly used surface roughness parameter, which indicates the average value of surface roughness. The unit is usually micrometer (μm), which is obtained by calculating the arithmetic mean of the height deviation on a certain length of surface. Rz (ten-point height) is a parameter used to describe surface roughness, which represents the average height difference between the five highest peaks and the five lowest valleys on a certain length of the surface, in micrometers (μm); Rmax (maximum height) is the maximum peak-to-valley height difference of the surface roughness within the measuring length, reflecting the maximum value of the surface roughness; Rsm (profile root mean square) is a parameter that describes the surface roughness and is obtained by calculating the average value of the sum of the squares of the deviations of each point on the profile line; In addition, other parameters such as Ry (maximum height), Rq (root mean square height), Rsk (skewness), Rku (kurtosis), etc. can also provide more detailed surface roughness information.

[0032] In this embodiment, the parameter characterizing the edge roughness is preferably Ra (arithmetic mean deviation).

[0033] See also Figure 2 As shown, it is a logic diagram of determining the processing abnormality type of the current assembled part according to an embodiment of the present invention. In the step S4, the step of determining the processing abnormality type of the current assembled part includes: Determine the corresponding processing qualification standards according to the usage type of the current assembly parts; If the current assembled parts meet the processing qualification conditions, the processing abnormality type is determined to be a hidden processing abnormality type; If the current assembled parts do not meet the processing qualification conditions, the processing abnormality type is determined to be an explicit processing abnormality type.

[0034] In practice, the processing qualification standards for each assembly part are: The edge roughness of the friction plate is Ra: 1.6~3.2μm; The edge roughness of the pressure plate is Ra: 0.1~0.12mm; The edge roughness of the spindle is Ra: 0.8~1.6μm; The edge roughness of the spring is Ra: 10~12.5μm; The edge roughness of the shell is Ra: 0.32~0.63mm; The edge roughness of the connecting bolt is Ra: 1.6~3.2μm; The edge roughness of the positioning pin is Ra: 0.8~1.6μm.

[0035] Specifically, the processing qualification condition is that the use type of the current assembly part is a balanced use type and meets the first type of processing qualification standard, or the use type of the current assembly part is a key use type and meets the second type of processing qualification standard; Among them, the first type of processing qualification standards are the same as the processing qualification standards corresponding to each assembly part.

[0036] In practice, the second-class processing qualification standard is lower than the first-class processing qualification standard, and only the spindle, friction plate and pressure plate have the second-class processing standard; The second processing standard of the spindle is the edge roughness of Ra: 0.4~0.6μm; the second processing standard of the friction plate is Ra: 1.2~1.6μm; the second processing standard of the pressure plate is Ra: 0.08~0.1mm.

[0037] In the present invention, by distinguishing between balanced use type and critical use type parts and setting two different sets of processing qualification standards, the production process can more accurately meet the requirements under different use conditions. In particular, the second type of processing qualification standards are more stringent than the first type, which provides higher precision requirements for key components such as the main shaft, friction plate and pressure plate, thereby improving the performance and reliability of the clutch as a whole, reducing the clutch failure rate and extending the service life of the clutch.

[0038] Specifically, in step S5, according to the processing abnormality type of the assembled part, the process of determining the subsequent processing monitoring method of the current assembled part includes: If the processing abnormality type is a hidden processing abnormality type, the determined subsequent processing monitoring method is to assemble all the assembly parts to obtain a clutch, and perform an assembly inspection, and determine whether the clutch is qualified according to the inspection result; If the processing abnormality type is an explicit processing abnormality type, the subsequent processing monitoring method is to determine the edge roughness discreteness according to the detection results of the edges of the assembled parts, and determine the part abnormality tracing method according to the edge roughness discreteness.

[0039] See also Figure 3 As shown, it is a logic diagram for judging whether the clutch is qualified according to an embodiment of the present invention. The assembly inspection is performed. In step S5, the step of judging whether the clutch is qualified according to the inspection result includes: Performing a static simulation test on the clutch and recording the offset of the axis; If the offset is less than a preset offset, the clutch is determined to be qualified; If the offset is greater than or equal to a preset offset, the clutch is determined to be unqualified.

[0040] In practice, the static simulation test is to install the clutch on a balancing test machine, ensure that its axis is aligned with the center of the test machine, start the equipment, and record the offset of the initial state. This is a prior art and will not be described in detail.

[0041] The preset offset is 0.5mm to 1.5mm. When the clutch fails, you can add or reduce the weight on one side of the clutch for correction.

[0042] See also Figure 4 As shown, it is a logic diagram of determining the abnormal part tracing method according to an embodiment of the present invention. In the step S5, the abnormal part tracing method is determined according to the discrete degree of edge roughness. If the edge roughness discreteness is greater than the standard edge roughness discreteness, the abnormal part tracing method is that the stress distribution of the raw material is uneven; If the edge roughness discreteness is less than or equal to the standard edge roughness discreteness, the part abnormality tracing method is that the processing machine tool has an abnormality.

[0043] In implementation, the edge roughness discreteness is obtained by comparing the average deviation of the detection results of the edges of the assembled parts with the average value of the edge detection results, and the standard edge roughness discreteness is selected within the interval [0.15, 0.25].

[0044] In the present invention, when it is detected that the edge roughness discreteness is greater than the standard edge roughness discreteness, it is judged that it is caused by the uneven stress distribution of the raw material. If the internal stress of the raw material is not properly released and homogenized, it will cause the surface roughness of the processed parts to be inconsistent, thereby affecting the accuracy and performance of the parts. For example, the main raw materials of the friction plate include metal powders such as copper, iron, and aluminum, and friction materials such as graphite and asbestos. These materials must ensure that the mass ratio meets the production requirements during the pressing and sintering process to avoid uneven stress distribution.

[0045] On the contrary, if the edge roughness discreteness is less than or equal to the standard edge roughness discreteness, then the cause of the abnormal processing is a problem with the processing machine tool. The accuracy of the machine tool, the wear state of the tool, the setting of the cutting parameters, etc. all directly affect the processing quality. For example, in the CNC machining process, factors such as tool wear, machine tool status, and processing parameter settings may lead to dimensional deviation and surface roughness exceeding the standard of the processed parts.

[0046] Specifically, in step S6, if the part abnormality tracing method is that the processing machine tool has an abnormality, then the processing adjustment method is determined according to the machine tool vibration parameters of the processing machine tool. If the machine tool vibration parameter is greater than the standard machine tool vibration parameter, the processing adjustment method is to determine that the machine tool body is abnormal; If the machine tool vibration parameter is less than or equal to the standard machine tool vibration parameter, the processing adjustment method is to adjust the machine tool processing parameter of the machine tool body.

[0047] In implementation, the machine tool vibration parameter is the machine tool working volume or the machine tool audio. If the machine tool vibration parameter is the machine tool working volume, the standard machine tool vibration parameter is 75-85 dB. If the machine tool vibration parameter is the machine tool audio, the standard machine tool vibration parameter is 1500-2000 Hz. It is understandable that if the vibration parameters of the machine tool are greater than the standard machine tool vibration parameters, this indicates that there may be abnormalities in the machine tool body, such as loose or unbalanced structure or the presence of impurities that affect the normal operation of the machine tool. If the vibration parameters of the machine tool are less than or equal to the standard machine tool vibration parameters, then the problem in the clutch processing process is determined to be caused by the machine tool processing parameter settings, such as improper cutting speed, feed rate or tool selection. The adjustment method is to replace the tool with a smaller particle size, increase the mesh count to 1.1 times the original, and adjust the cutting speed to 0.9 times the original cutting speed. After the adjustment, if the processing abnormality type is still the dominant processing abnormality type, adjust the feed rate to 0.8 times the original feed rate.

[0048] Specifically, in step S6, if the part abnormality tracing method is that the stress distribution of the raw material is uneven, the processing adjustment method is to reduce the stress of the raw material or replace the raw material.

[0049] In practice, the stress of raw materials can be reduced by methods such as ultrasound or tempering, which are existing technologies and are not specifically limited.

[0050] If the clutch production monitoring method of the present invention is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0051] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0052] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A clutch production monitoring method, characterized in that: include: Step S1, determining all assembly parts of a single clutch and the size information of each part, and determining the usage type of each assembly part, the usage type including a critical usage type and a balanced usage type; Step S2, obtaining raw materials for each assembly part, and performing performance tests on each raw material, and recording the test results; Step S3, processing the raw materials of each of the assembly parts according to the size information of each of the assembly parts, and detecting the machine tool working parameters of the processing machine tool during the processing, the machine tool working parameters including machine tool processing parameters and machine tool vibration parameters; Step S4, detecting the edge of each assembled part, and determining the corresponding roughness, and determining the type of processing abnormality of the current assembled part in combination with the usage type of the part; Step S5, determining a subsequent processing monitoring method for the current assembled part according to the processing abnormality type of the assembled part, the processing monitoring method includes: Assembling all the assembled parts to obtain a clutch, and performing assembly inspection, judging whether the clutch is qualified according to the inspection results, and determining the edge roughness discreteness according to the inspection results of the edges of each assembled part, and determining the part abnormality tracing method according to the edge roughness discreteness; Step S6, tracing is performed according to the part abnormality tracing method to determine the processing adjustment method.

2. The clutch production monitoring method according to claim 1, characterized in that: In step S1, all the assembled parts include friction plates, pressure plates, main shafts, springs, housings, connecting bolts and locating pins; Among them, the usage type of the main shaft, the friction plate and the pressure plate is a key usage type, and the usage type of the spring, the housing, the connecting bolt and the locating pin is a balanced usage type.

3. The clutch production monitoring method according to claim 2, characterized in that: In step S4, the process of determining the edge roughness of each of the assembled parts includes: Determining edge detection locations of each assembled part according to the size information of each part; Performing a roughness test on each edge detection portion and recording the test results; The edge roughness is determined based on the test results.

4. The clutch production monitoring method according to claim 3, characterized in that: In step S4, the step of determining the processing abnormality type of the current assembled part includes: Determine the corresponding processing qualification standards according to the usage type of the current assembly parts; If the current assembled parts meet the processing qualification conditions, the processing abnormality type is determined to be a hidden processing abnormality type; If the current assembled parts do not meet the processing qualification conditions, the processing abnormality type is determined to be an explicit processing abnormality type.

5. The clutch production monitoring method according to claim 4, characterized in that: The processing qualification condition is that the use type of the current assembly part is a balanced use type and meets the first type of processing qualification standard, or the use type of the current assembly part is a key use type and meets the second type of processing qualification standard; Among them, the first type of processing qualification standards are the same as the processing qualification standards corresponding to each assembly part.

6. The clutch production monitoring method according to claim 5, characterized in that: In step S5, the process of determining the subsequent processing monitoring method for the current assembly part according to the processing abnormality type of the assembly part includes: If the processing abnormality type is a hidden processing abnormality type, the determined subsequent processing monitoring method is to assemble all the assembly parts to obtain a clutch, and perform an assembly inspection, and determine whether the clutch is qualified according to the inspection result; If the processing abnormality type is an explicit processing abnormality type, the subsequent processing monitoring method is to determine the edge roughness discreteness according to the detection results of the edges of the assembled parts, and determine the part abnormality tracing method according to the edge roughness discreteness.

7. The clutch production monitoring method according to claim 6, characterized in that: In step S5, an assembly inspection is performed, and whether the clutch is qualified is determined according to the inspection result, including: Performing a static simulation test on the clutch and recording the offset of the axis; If the offset is less than a preset offset, the clutch is determined to be qualified; If the offset is greater than or equal to a preset offset, the clutch is determined to be unqualified.

8. The clutch production monitoring method according to claim 7, characterized in that: In step S5, the part abnormality tracing method is determined according to the edge roughness discreteness. If the edge roughness discreteness is greater than the standard edge roughness discreteness, the abnormal part tracing method is that the stress distribution of the raw material is uneven; If the edge roughness discreteness is less than or equal to the standard edge roughness discreteness, the part abnormality tracing method is that the processing machine tool has an abnormality.

9. The clutch production monitoring method according to claim 8, characterized in that: In step S6, if the part abnormality tracing method is that the processing machine tool has an abnormality, the processing adjustment method is determined according to the machine tool vibration parameters of the processing machine tool. If the machine tool vibration parameter is greater than the standard machine tool vibration parameter, the processing adjustment method is to determine that the machine tool body is abnormal; If the machine tool vibration parameter is less than or equal to the standard machine tool vibration parameter, the processing adjustment method is to adjust the machine tool processing parameter of the machine tool body.

10. The clutch production monitoring method according to claim 9, characterized in that: In step S6, if the part abnormality tracing method is that the stress distribution of the raw material is uneven, the processing adjustment method is to reduce the stress of the raw material or replace the raw material.

Citation Information

Patent Citations

  • An online inspection system for an automotive intelligent clutch production line

    CN110068432B

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