Riveting quality detection method and system for automobile skylight assembly

By identifying and dividing the riveting parts in the automotive sunroof structure, combining the relationship between the riveting process flow and quality characteristics, stress analysis and quality constraint analysis are carried out, the problem of inaccurate riveting quality detection in the existing technology is solved, and higher detection accuracy and production efficiency are achieved.

CN119962088AInactive Publication Date: 2025-05-09SHENZHEN SHIWEI AUTOMATIZATION CO LTD
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Patent Information

Application Number
CN202510443837.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-10
Publication Date
2025-05-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, the quality inspection of the assembly and riveting of automobile sunroofs is inaccurate, and the quality differences in riveting points cannot be fully evaluated, making it difficult to effectively guarantee the quality of sunroofs.

Method used

By identifying the riveting parts in the skylight structure, building a multi-riveting sunroof area, establishing the processing application relationship between the riveting process flow and the riveting quality characteristics, performing operation stress analysis and processing quality constraint analysis, and finally quality inspection of the sunroof assembly riveting process flow.

Benefits of technology

The accuracy of the skylight riveting quality inspection is improved, the effective guarantee of the riveting quality is ensured, and the reliability and production efficiency of the skylight assembly process are improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a riveting quality detection method and system for automobile skylight assembly, and relates to the technical field of assembly quality detection. The method comprises the following steps: identifying and partitioning a riveting part according to a skylight structure, and constructing a multi-riveting skylight area; establishing a processing application relationship between the riveting process flow and the riveting quality characteristics; on the basis of the multi-riveting skylight area, performing operation use stress analysis on each area to obtain operation stress distribution of each area; according to the processing application relation, processing quality constraint analysis is carried out on the operation stress distribution of each area, and the quality constraint condition of the technological process is obtained; and performing quality detection on the skylight assembling and riveting process flow according to the quality constraint condition of the process flow to obtain a skylight riveting quality detection result. The technical problem that in the prior art, automobile skylight assembling and riveting quality detection is not accurate is solved, and the technical effect of improving the accuracy of skylight riveting quality detection is achieved through analysis based on operation stress and detection based on quality constraint conditions.
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Description

Technical Field

[0001] The invention relates to the technical field of assembly quality detection, and in particular to a riveting quality detection method and system for automobile sunroof assembly. Background Art

[0002] As an important component for improving the lighting, ventilation and passenger comfort in the car, the assembly quality of the car sunroof directly affects the quality of the whole vehicle and the user experience. In the sunroof assembly process, riveting, as a key connection process, plays a vital role in the sealing, strength and durability of the sunroof. However, the existing riveting quality inspection methods generally have problems such as low inspection accuracy and inability to fully evaluate the quality differences of riveted points, which makes it difficult to effectively guarantee the riveting quality of the sunroof, which in turn affects the reliability and production efficiency of the entire assembly process. Summary of the invention

[0003] The present application provides a riveting quality detection method and system for automobile sunroof assembly, which solves the technical problem of inaccurate riveting quality detection of automobile sunroof assembly in the prior art.

[0004] In a first aspect of the present application, a riveting quality detection method for automobile sunroof assembly is provided, the method comprising: The riveted parts are identified and divided according to the skylight structure to construct a multi-riveted skylight area; a processing application relationship between the riveting process and the riveting quality characteristics is established; based on the multi-riveted skylight area, stress analysis is performed on each area to obtain the operating stress distribution of each area; based on the processing application relationship, a processing quality constraint analysis is performed on the operating stress distribution of each area to obtain the quality constraint conditions of the process flow; quality inspection is performed on the skylight assembly riveting process based on the quality constraint conditions of the process flow to obtain the skylight riveting quality inspection results.

[0005] A second aspect of the present application provides a riveting quality detection system for automobile sunroof assembly, the system comprising: A partitioning module is used to identify and partition the riveted parts according to the skylight structure and construct a multi-riveted skylight area; a relationship establishment module is used to establish a processing application relationship between the riveting process flow and the riveting quality characteristics; a stress analysis module is used to perform stress analysis on each area based on the multi-riveted skylight area to obtain the operating stress distribution of each area; an analysis module is used to perform processing quality constraint analysis on the operating stress distribution of each area according to the processing application relationship to obtain the quality constraint conditions of the process flow; a quality inspection module is used to perform quality inspection on the skylight assembly riveting process flow according to the quality constraint conditions of the process flow to obtain the skylight riveting quality inspection results.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, the riveted parts are identified and partitioned according to the sunroof structure to construct a multi-riveted sunroof area. Next, the processing application relationship between the riveting process and the riveting quality characteristics is established. Then, based on the multi-riveted sunroof area, stress analysis is performed on each area to obtain the operating stress distribution of each area. Next, according to the processing application relationship, the operating stress distribution of each area is analyzed for processing quality constraints to obtain the quality constraints of the process flow. Finally, the sunroof assembly riveting process is quality inspected according to the quality constraints of the process flow to obtain the sunroof riveting quality inspection results. The technical problem of inaccurate quality inspection of automobile sunroof assembly in the prior art is solved, and the technical effect of improving the accuracy of sunroof riveting quality inspection is achieved through analysis based on operating stress and detection of quality constraints. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic flow chart of a riveting quality inspection method for automobile sunroof assembly provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a riveting quality inspection system for automobile sunroof assembly provided in an embodiment of the present application.

[0009] Explanation of the reference numerals: partitioning module 11 , relationship building module 12 , stress analysis module 13 , analysis module 14 , quality inspection module 15 . DETAILED DESCRIPTION

[0010] The present application solves the technical problem of inaccurate riveting quality detection of automobile sunroof assembly in the prior art by providing a riveting quality detection method and system for automobile sunroof assembly.

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0012] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0013] Embodiment 1, as Figure 1 As shown, the present application provides a riveting quality detection method for automobile sunroof assembly, wherein the method comprises: The riveted parts are identified and divided according to the skylight structure to construct a multi-riveted skylight area.

[0014] Sunroofs are usually composed of multiple components, including frames, glass panels, guide rails, sealing strips, etc. Riveting is an important process for connecting these components, and each part that needs to be riveted needs to be analyzed according to the design drawings. By analyzing the various components of the sunroof and their connection methods, all riveted parts are identified, including the connection between the frame and the roof, the fixation of the glass panel and the frame, and the connection of other accessory parts. Each riveted part has different functions and stress characteristics, so the requirements for its riveting quality are also different.

[0015] After identifying all riveted parts, the skylight is divided into multiple riveted areas. Each riveted area includes several riveted points with similar structures or functions. These riveted points have similar quality control standards, force requirements, and processing techniques. Through this area division, detailed quality inspection and analysis can be performed on different riveted areas, thereby improving the accuracy of the inspection and avoiding problems caused by ignoring regional differences during overall processing. Specifically, different riveted areas of the skylight may have different riveted qualities due to differences in the mechanical loads, sealing requirements, or position fixing functions they bear. Therefore, formulating inspection standards for each area can effectively improve the level of quality control.

[0016] Furthermore, the riveted parts are identified and divided according to the skylight structure to construct a multi-riveted skylight area, including: The design functional structure of the sunroof is analyzed to obtain a supporting structure, a sliding structure, and a fixed structure, wherein the supporting structure is used to provide force support for the opening movement of the sunroof, the sliding structure is the operating structure for the movement and sliding of the sunroof, and the fixed structure is used to fix the structure connecting the sunroof frame, guide rails, and vehicle body; the sunroof structure is partitioned according to the supporting structure, sliding structure, and fixed structure, the riveted parts in each partition are identified, and the multi-riveted sunroof area is constructed.

[0017] Preferably, the design function and structure of the sunroof are comprehensively analyzed in order to accurately identify its different functional areas; the structure of the sunroof generally includes a supporting structure, a sliding structure and a fixed structure, each of which performs different functions; the supporting structure refers to those parts used to provide force support for the opening movement of the sunroof, ensuring that the sunroof has sufficient stability and supporting force during the opening and closing process; the sliding structure refers to the operating part used to support the sunroof to slide on the guide rail, which allows the sunroof to move smoothly to different positions; the fixed structure is used to fix the sunroof frame, guide rails and the connection part between the sunroof and the vehicle body together, ensuring the stability and safety of the sunroof on the vehicle body.

[0018] The riveted parts in different structural areas have different mechanical effects, functional requirements and processing technologies. Therefore, the skylight is divided into multiple riveted skylight areas according to the supporting structure, sliding structure and fixed structure, and each area contains multiple riveted parts. Through this division, not only can the accuracy of riveting quality inspection be effectively improved, but also corresponding process requirements and quality control standards can be formulated for the riveted parts in different areas, thereby improving the quality and reliability of the overall assembly of the skylight.

[0019] Furthermore, constructing the multi-riveted skylight area also includes: The supporting structure is classified according to its supporting angle to determine different supporting structure types; the sliding state is classified according to the motion parameters of the sliding structure to determine different sliding morphological structures, wherein the motion parameters include sliding speed, vibration frequency, and sliding direction; the fixed structure is classified according to its structural stress to obtain fixed structures of different levels; the multi-riveted skylight area is subdivided according to the different supporting structure types, different sliding morphological structures, and different levels of fixed structures.

[0020] Specifically, the support structure is classified according to its support angle. The support angle of the support structure directly affects the support force required when the sunroof is opened or closed, and different support angles will cause different mechanical effects on the riveted parts. Therefore, for different support angles, the support structure is divided into several types, and each type of support structure has different riveting quality requirements and design standards to ensure that it can effectively provide support and withstand the corresponding operating force during the assembly process. Secondly, the sliding state is classified according to the motion parameters of the sliding structure to determine different sliding morphological structures. The sliding structure plays a vital role in the movement of the sunroof. Motion parameters such as sliding speed, vibration frequency, and sliding direction all affect the riveting quality. For example, a high sliding speed may cause a large friction force, and sliding in different directions will exert different stresses on the riveted points. According to these motion parameters, the sliding structure is classified into multiple sliding morphological structures. Each type of sliding morphological structure has different force characteristics and needs to be considered separately in riveting quality control. Then, the fixed structure is graded and divided according to the structural stress of the fixed structure to obtain fixed structures of different grades. The main function of the fixed structure is to fix the sunroof frame, guide rail and body. These parts bear great stress during the opening and closing process of the sunroof. By analyzing the stress distribution of the fixed structure, its stress level is determined, and the fixed structure is divided into different categories according to different stress levels. Different levels of fixed structures have different requirements for riveting quality, and corresponding quality control measures must be taken. Finally, according to the above-mentioned different types of supporting structures, different sliding morphological structures, and different levels of fixed structures, the multi-riveted sunroof area is re-divided; the classification results of the supporting structure type, sliding structure type and fixed structure level are comprehensively considered to form a multi-dimensional classification standard; the sunroof is divided into multiple sub-areas according to different categories of supporting structures, sliding structures and fixed structures. For example, in the area where the supporting structure is type A, the sliding structure is type 1, and the fixed structure is level 1, the riveting quality requirements are low; in the area where the supporting structure is type B, the sliding structure is type 2, and the fixed structure is level 2, the riveting quality requirements are medium; in the area where the supporting structure is type C, the sliding structure is type 3, and the fixed structure is level 3, the riveting quality requirements are high. Specific quality control standards are formulated for each divided area, and personalized riveting process design is carried out according to the functions and force requirements of the riveted parts in the area to ensure that the riveting quality during the skylight assembly process meets the design requirements and usage standards.

[0021] Establish the processing and application relationship between the riveting process and the riveting quality characteristics.

[0022] The quality of riveting is closely related to the riveting process, and different process parameters (such as pressure, speed, temperature, etc.) directly affect the quality of the riveting points. By analyzing these riveting process flows and riveting quality characteristics, a processing application relationship is established to ensure that each step in the riveting process can be effectively controlled and the riveting quality is maximized to meet the design requirements and usage standards.

[0023] Furthermore, the relationship between the riveting process and the riveting quality characteristics is established, including: The process parameters are analyzed according to the whole cycle of the riveting process to obtain the process parameters; the quality influence relationship of the process parameters on the riveting quality is analyzed, and the processing application relationship between the riveting process and the riveting quality characteristics is established.

[0024] The riveting process usually includes preparation before riveting, operation during riveting, and quality inspection after riveting. In each link, there are a series of process parameters, such as riveting pressure, riveting time, riveting temperature, type and thickness of riveting materials, etc. These parameters are crucial to the quality of riveting. Therefore, it is necessary to first analyze the process parameters of each link in detail to obtain the processing parameters of each link, thereby laying the foundation for subsequent quality control.

[0025] Riveting quality characteristics usually include the strength, shape, sealing and durability of the riveted points, etc. Different process parameter settings will directly affect these quality characteristics. For example, riveting pressure that is too high or too low will affect the shape and firmness of the riveted points; inappropriate riveting time may cause thermal deformation of the riveted parts or loose connections; improper riveting temperature control may cause uneven stress of the material or incomplete riveting. By analyzing the relationship between process parameters and riveting quality characteristics, the specific degree of influence of each parameter on different quality characteristics can be clarified, thereby providing data support for optimizing the riveting process. Based on the above analysis, the processing application relationship between the riveting process flow and the riveting quality characteristics is established.

[0026] Furthermore, the relationship between the process parameters and the quality of riveting is analyzed, including: The processing control parameters and riveting quality characteristics in the riveting process are collected to build a riveting database, where the processing control parameters include riveting force, riveting force contact distribution, and riveting speed, and the riveting quality characteristics include riveting strength and riveting deformation; the processing control parameters are aligned according to the riveting database, and the single-line relationship and composite parameter relationship of the processing control parameters are fitted with the riveting quality characteristics as the target, and a relationship matrix is ​​established to obtain the quality influencing relationship.

[0027] During the processing, the processing control parameters and riveting quality characteristics are collected to build a riveting database. The processing control parameters include the size of the riveting force, the contact distribution of the riveting force and the riveting speed. These parameters are key factors in the riveting process and directly affect the riveting quality. For example, the size of the riveting force determines the tightness of the riveting point, while the contact distribution of the riveting force determines the uniformity of the force, which in turn affects the riveting strength; the riveting speed is related to the temperature rise of the riveting process and the plastic flow of the material, and has a significant impact on the shape and quality of the riveting point. Riveting quality characteristics include riveting strength and riveting deformation; riveting strength is a key indicator to measure the firmness of the riveting point connection, while riveting deformation is a key parameter to evaluate the shape change of components, stress distribution, etc. during the riveting process. Through the systematic collection of these processing control parameters and riveting quality characteristics, a comprehensive riveting database is constructed to provide data support for subsequent relationship analysis.

[0028] The alignment of the processing control parameters is performed according to the constructed riveting database. Since different riveting process parameters may affect different riveting quality characteristics, it is necessary to perform correlation analysis between these processing control parameters and riveting quality characteristics, and establish the relationship between the parameters with the riveting quality characteristics as the target. By fitting the single-line relationship and the composite parameter relationship of the processing control parameters, the specific influence of each process parameter on the riveting quality can be analyzed. For example, the composite relationship between the riveting force and the riveting speed may be more complex than the influence of the riveting force alone, and may have different effects on the riveting strength and deformation. Through this fitting analysis, a relationship matrix can be established to present the quality influence relationship between different processing control parameters and riveting quality characteristics. This relationship matrix provides a scientific basis for the optimization of the riveting process, so that in the actual production process, the process parameters can be accurately adjusted according to the target riveting quality characteristics (such as strength or deformation), and high-precision riveting control can be achieved, thereby improving the riveting quality and ensuring that each riveting point in the skylight assembly process meets the design standards and usage requirements.

[0029] Furthermore, the riveting force contact distribution is the riveting contact center, the contact area and the riveting force distribution characteristics.

[0030] The contact center of the riveting joint refers to the initial point or main contact position between the riveting tool and the riveted part; the position of the riveting contact center and the application method of the riveting force determine how the riveting force is transmitted to the riveting point. The accurate positioning of the riveting contact center is crucial to the quality of the riveting. If the contact center is incorrect, it may cause uneven riveting and affect the strength and appearance of the riveting point.

[0031] The contact area refers to the surface area where the riveting tool contacts the riveted parts. The size of the contact area directly affects the distribution of force during the riveting process. A larger contact area can distribute the riveting force more evenly, reduce local overheating or stress concentration, and thus improve the quality of the riveted points; while a small contact area may lead to excessive stress concentration at the riveted points, which can easily cause riveting defects such as cracks and deformation.

[0032] The riveting force distribution characteristic refers to the distribution of the riveting force on the contact area. The riveting force distribution should be uniform, which can ensure that the pressure on the riveting point is consistent throughout the riveting process, avoiding local overload or stress concentration.

[0033] Based on the multi-riveted skylight area, stress analysis is performed on each area to obtain the operational stress distribution of each area.

[0034] Optionally, the finite element analysis (FEA) method is used to model and simulate the multi-riveted skylight area; each area is subjected to corresponding operating loads and boundary conditions according to its riveted parts and supporting structures, sliding structures or fixed structures; through this modeling and simulation, the stress distribution of each area during the actual operation can be simulated, and high-stress areas and low-stress areas can be identified. Through stress analysis, the operating stress distribution of each riveted area can be obtained, which provides an important basis for subsequent quality inspection. For example, if the operating stress of a certain area is too large, it may cause abnormal changes in the shape of the riveted point, affecting the sealing and strength of the skylight; on the contrary, if the stress of a certain area is too small, it may indicate that the riveted point is not fully connected, resulting in insufficient connection strength. By operating the stress distribution obtained by stress analysis, reasonable quality control standards can be set for each riveted area. According to different stress distribution conditions, the riveting process parameters can be adjusted to ensure that the quality of the riveted point meets the design requirements and improve the reliability and accuracy of the skylight assembly process.

[0035] Furthermore, based on the multi-riveted skylight area, stress analysis is performed on each area to obtain the operating stress distribution of each area, including: According to the shape and movement state of the skylight at each operating stage, stress experiments of riveted components are carried out in each area and each stage to obtain the riveting stress characteristics of each area, including stress type, stress magnitude, and stress direction; the influence of operating frequency, material creep, and operating environment parameters on the operating stress is obtained, and the operating stress distribution is predicted; the predicted operating stress distribution is used to supplement and integrate the riveting stress characteristics of the above-mentioned areas to obtain the operating stress distribution of the above-mentioned areas.

[0036] Preferably, stress tests of riveted components in each area and each stage are conducted according to the shape and motion state of the skylight in each operation stage; the operation stages of the skylight include but are not limited to opening, closing, sliding and staying states, and the shape, motion characteristics and stress transfer mode of each operation stage are different, so the stress borne by the riveted components in each stage is also different; by conducting stress tests on the riveted components in each operation stage, the stress characteristics of the riveted components in each area can be obtained, including stress type (such as tensile stress, shear stress, compressive stress, etc.), stress magnitude (i.e., stress intensity) and stress direction (i.e., stress action direction), which can effectively reflect the force changes of the riveted points in each operation state, and provide data support for the subsequent optimization of riveting quality. In addition, it is necessary to further analyze the influence of operating frequency, material creep and operating environment parameters on the distribution of operating stress. The operating frequency has a direct impact on the fatigue degree of riveted parts. High-frequency operation may cause fatigue stress at the riveted points and change the stress distribution. The creep effect of the material will also affect the stress state of the riveted points under long-term and high-temperature conditions, causing the material to gradually deform, thereby affecting the riveting quality. The operating environment parameters (such as temperature, humidity, etc.) will also change the physical properties of the riveted parts, thereby affecting the stress distribution. By considering the influence of these factors, the operating stress distribution can be predicted more accurately, further improving the control accuracy of the riveting quality. According to the above analysis, the predicted operating stress distribution is used to supplement and integrate the riveting stress characteristics of each region. By integrating the stress data of each region at different operating stages and under different environmental conditions, the comprehensive operating stress distribution of each region during the entire service life can be obtained.

[0037] According to the processing application relationship, a processing quality constraint analysis is performed on the operating stress distribution of each area to obtain quality constraint conditions of the process flow.

[0038] After clarifying the stress distribution, it is necessary to conduct a processing quality constraint analysis on the stress distribution in each area according to the relationship between the riveting process and the quality characteristics, and obtain the quality constraint conditions of the process flow. The quality constraint conditions refer to the quality standards that the process flow must meet under specific operating stress conditions.

[0039] Furthermore, according to the processing application relationship, a processing quality constraint analysis is performed on the operating stress distribution of each region to obtain quality constraint conditions of the process flow, including: A riveting quality characteristic conversion analysis is performed according to the operating stress distribution of each area to obtain the riveting quality characteristic target quantity of each area; a processing control parameter matching analysis is performed on the riveting quality characteristic target quantity of each area according to the processing application relationship to obtain the target processing control parameters; and the target processing control parameters are used as quality constraint conditions of the process flow.

[0040] Based on the distribution of operating stress in each region, the riveting quality feature conversion analysis is carried out. Specifically, the deformation behavior of the material under different stresses is described by the stress-strain curve. The stress-strain curve can show the whole process of the material from elastic deformation, yielding, strengthening to final fracture, reflecting the response characteristics of the material under different loads. In the riveting process, by analyzing the distribution of operating stress in each region and combining the stress-strain relationship of the material, the operating stress can be directly converted into riveting quality features, such as riveting strength and riveting deformation. Specifically, using the stress-strain relationship, the strength performance and deformation of the riveted points can be evaluated under different stress conditions. For high stress areas, the riveted points may undergo large plastic deformation or yielding, thereby affecting the riveting strength; while in low stress areas, the riveting may be insufficient, resulting in insufficient connection strength. Through this analysis method, the riveting quality characteristics can be accurately predicted based on the operating stress, thereby providing a scientific basis for the optimization of the riveting process, ensuring that in the actual riveting process, the riveted points can meet the design strength requirements and maintain sufficient stability, thereby ensuring the quality and reliability of the skylight assembly.

[0041] According to the processing application relationship, the processing control parameter matching analysis is carried out for the target quantity of riveting quality characteristics in each area. In this stage, by analyzing the processing application relationship, the processing control parameters that match the target quantity of riveting quality characteristics are found, such as riveting force, riveting time, riveting speed, temperature, etc. These processing control parameters are key factors affecting the quality of riveting and must be accurately matched according to the quality target of each area. For example, if the riveting quality target of a certain area is a high-strength connection, it needs to be achieved by increasing the riveting force or extending the riveting time; if the goal is to reduce the deformation of the riveting point, it is necessary to control the distribution of the riveting force and the riveting time. Through this matching analysis, it can be ensured that appropriate parameters are taken during the riveting process to achieve the predetermined quality goals. Finally, the target processing control parameters are used as quality constraints of the process flow; these target processing control parameters will be applied as standards in the riveting process flow to ensure that the operations of each riveting area can be performed according to the set quality control parameters.

[0042] The quality inspection of the sunroof assembly riveting process is performed according to the quality constraint conditions of the process to obtain the sunroof riveting quality inspection result.

[0043] The quality constraints are used to conduct a comprehensive quality inspection of the sunroof assembly riveting process. This inspection method checks each link in the process to ensure that it meets the specified quality standards, and obtains specific sunroof riveting quality inspection results by comparing stress distribution and quality constraints. These inspection results can help identify possible defects or problems in the riveting process, thereby improving the quality and reliability of sunroof assembly.

[0044] Furthermore, the quality inspection of the sunroof assembly riveting process is performed according to the quality constraint conditions of the process to obtain the sunroof riveting quality inspection result, including: Collecting processing control parameters in the riveting process of skylight assembly; matching the collected processing control parameters with the target processing control parameters to obtain control matching results; performing riveting quality detection and analysis based on the control matching results to obtain the skylight riveting quality detection results.

[0045] Through precise sensors and measuring equipment, the processing control parameters in the riveting process of skylight assembly are collected in real time, including riveting force, riveting time, riveting temperature, riveting pressure distribution, etc. These key parameters have a crucial impact on the quality during the riveting process. Then, the actual processing control parameters collected are matched and analyzed with the preset target processing control parameters. The target processing control parameters are standards set according to the previous process flow and quality constraints, representing the processing parameters that should be achieved in each riveting area under ideal conditions. By comparing the actual parameters with the target parameters, a control matching result can be obtained to determine whether the actual operation meets the process standards. If the matching results show that some parameters deviate from the target range, the system will automatically mark the deviation and provide further adjustment suggestions. Finally, according to the control matching results, the riveting quality inspection and analysis is carried out. By comparing the collected control parameters with the skylight riveting quality requirements, the quality of the riveted points, including strength, shape, deformation and connection stability, is evaluated. Through this process, it can be ensured that all riveted points meet the design and performance standards. If the test results show that some riveted points do not meet the standards, the system will prompt that the process parameters need to be adjusted or re-riveted. Finally, through this quality inspection process, the sunroof riveting quality inspection results are obtained, which provides an important basis for subsequent process optimization and quality control, ensuring that the riveting quality during the sunroof assembly process always remains at the best level and improving the overall performance and reliability of the sunroof.

[0046] In summary, the embodiments of the present application have at least the following technical effects: First, the riveted parts are identified and partitioned according to the sunroof structure to construct a multi-riveted sunroof area. Next, the processing application relationship between the riveting process and the riveting quality characteristics is established. Then, based on the multi-riveted sunroof area, stress analysis is performed on each area to obtain the operating stress distribution of each area. Next, according to the processing application relationship, the operating stress distribution of each area is analyzed for processing quality constraints to obtain the quality constraints of the process flow. Finally, the sunroof assembly riveting process is quality inspected according to the quality constraints of the process flow to obtain the sunroof riveting quality inspection results. The technical problem of inaccurate quality inspection of automobile sunroof assembly in the prior art is solved, and the technical effect of improving the accuracy of sunroof riveting quality inspection is achieved through analysis based on operating stress and detection of quality constraints.

[0047] Embodiment 2 is based on the same inventive concept as the riveting quality inspection method for automobile sunroof assembly in the above embodiment. Figure 2 As shown, the present application provides a riveting quality detection system for automobile sunroof assembly, wherein the system includes: A partitioning module 11 is used to identify and partition the riveted parts according to the skylight structure and construct a multi-riveted skylight area; a relationship establishment module 12 is used to establish a processing application relationship between the riveting process flow and the riveting quality characteristics; a stress analysis module 13 is used to perform stress analysis on each area based on the multi-riveted skylight area to obtain the operating stress distribution of each area; an analysis module 14 is used to perform a processing quality constraint analysis on the operating stress distribution of each area according to the processing application relationship to obtain the quality constraint conditions of the process flow; a quality inspection module 15 is used to perform quality inspection on the skylight assembly riveting process flow according to the quality constraint conditions of the process flow to obtain the skylight riveting quality inspection results.

[0048] Furthermore, the partition module 11 is used to execute the following method: The design functional structure of the sunroof is analyzed to obtain a supporting structure, a sliding structure, and a fixed structure, wherein the supporting structure is used to provide force support for the opening movement of the sunroof, the sliding structure is the operating structure for the movement and sliding of the sunroof, and the fixed structure is used to fix the structure connecting the sunroof frame, guide rails, and vehicle body; the sunroof structure is partitioned according to the supporting structure, sliding structure, and fixed structure, the riveted parts in each partition are identified, and the multi-riveted sunroof area is constructed.

[0049] Furthermore, the partition module 11 is used to execute the following method: The supporting structure is classified according to its supporting angle to determine different supporting structure types; the sliding state is classified according to the motion parameters of the sliding structure to determine different sliding morphological structures, wherein the motion parameters include sliding speed, vibration frequency, and sliding direction; the fixed structure is classified according to its structural stress to obtain fixed structures of different levels; the multi-riveted skylight area is subdivided according to the different supporting structure types, different sliding morphological structures, and different levels of fixed structures.

[0050] Furthermore, the relationship establishing module 12 is used to execute the following method: The process parameters are analyzed according to the whole cycle of the riveting process to obtain the process parameters; the quality influence relationship of the process parameters on the riveting quality is analyzed, and the processing application relationship between the riveting process and the riveting quality characteristics is established.

[0051] Furthermore, the relationship establishing module 12 is used to execute the following method: The processing control parameters and riveting quality characteristics in the riveting process are collected to build a riveting database, where the processing control parameters include riveting force, riveting force contact distribution, and riveting speed, and the riveting quality characteristics include riveting strength and riveting deformation; the processing control parameters are aligned according to the riveting database, and the single-line relationship and composite parameter relationship of the processing control parameters are fitted with the riveting quality characteristics as the target, and a relationship matrix is ​​established to obtain the quality influencing relationship.

[0052] Furthermore, the relationship establishing module 12 is used to execute the following method: The riveting force contact distribution includes the riveting contact center, the contact area and the riveting force distribution characteristics.

[0053] Furthermore, the stress analysis module 13 is used to execute the following method: According to the shape and movement state of the skylight at each operating stage, stress experiments of riveted components are carried out in each area and each stage to obtain the riveting stress characteristics of each area, including stress type, stress magnitude, and stress direction; the influence of operating frequency, material creep, and operating environment parameters on the operating stress is obtained, and the operating stress distribution is predicted; the predicted operating stress distribution is used to supplement and integrate the riveting stress characteristics of the above-mentioned areas to obtain the operating stress distribution of the above-mentioned areas.

[0054] Furthermore, the analysis module 14 is used to perform the following method: A riveting quality characteristic conversion analysis is performed according to the operating stress distribution of each area to obtain the riveting quality characteristic target quantity of each area; a processing control parameter matching analysis is performed on the riveting quality characteristic target quantity of each area according to the processing application relationship to obtain the target processing control parameters; and the target processing control parameters are used as quality constraint conditions of the process flow.

[0055] Furthermore, the quality detection module 15 is used to perform the following method: Collecting processing control parameters in the riveting process of skylight assembly; matching the collected processing control parameters with the target processing control parameters to obtain control matching results; performing riveting quality detection and analysis based on the control matching results to obtain the skylight riveting quality detection results.

[0056] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0057] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0058] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A riveting quality inspection method for automobile sunroof assembly, characterized in that: The method comprises: Identify and partition the riveted parts according to the skylight structure to construct a multi-riveted skylight area; Establish the processing and application relationship between riveting process and riveting quality characteristics; Based on the multi-riveted skylight area, operating each area using stress analysis to obtain the operating stress distribution of each area; According to the processing application relationship, a processing quality constraint analysis is performed on the operating stress distribution of each region to obtain quality constraint conditions of the process flow; The quality inspection of the sunroof assembly riveting process is performed according to the quality constraint conditions of the process to obtain the sunroof riveting quality inspection result.

2. The riveting quality inspection method for automobile sunroof assembly according to claim 1 is characterized in that: The method of identifying and zoning the riveted parts according to the skylight structure to construct a multi-riveted skylight area includes: The design function structure of the sunroof is analyzed to obtain the supporting structure, sliding structure and fixed structure. The supporting structure is used to provide force support for the opening movement of the sunroof, the sliding structure is the operating structure for the movement and sliding of the sunroof, and the fixed structure is used to fix the structure connecting the sunroof frame, guide rails and vehicle body; The skylight structure is partitioned according to the supporting structure, the sliding structure, and the fixed structure, and the riveted parts in each partition are identified to construct the multi-riveted skylight area.

3. The riveting quality inspection method for automobile sunroof assembly according to claim 2 is characterized in that: Constructing the multi-riveted skylight area also includes: Classify the support structures according to their support angles to determine different types of support structures; Classifying the sliding state according to the motion parameters of the sliding structure to determine different sliding morphological structures, wherein the motion parameters include sliding speed, vibration frequency, and sliding direction; Performing grade analysis and classification according to the structural stress of the fixed structure to obtain fixed structures of different grades; The multi-riveted skylight area is subdivided according to the different supporting structure types, different sliding form structures, and different levels of fixed structures.

4. The riveting quality inspection method for automobile sunroof assembly according to claim 1 is characterized in that: The establishment of the processing application relationship between the riveting process and the riveting quality characteristics includes: Analyze the process parameters according to the whole cycle of the riveting process to obtain the process parameters; The quality influence relationship of the process parameters on the riveting quality is analyzed, and the processing application relationship between the riveting process and the riveting quality characteristics is established.

5. The riveting quality inspection method for automobile sunroof assembly according to claim 4 is characterized in that: Analyze the influence of the process parameters on the riveting quality, including: Collect processing control parameters and riveting quality characteristics in the riveting process to build a riveting database, where the processing control parameters include riveting force size, riveting force contact distribution, and riveting speed, and the riveting quality characteristics include riveting strength and riveting deformation; The processing control parameters are aligned according to the riveting database, and the single-line relationship and composite parameter relationship of the processing control parameters are fitted with the riveting quality characteristics as the target, and a relationship matrix is ​​established to obtain the quality influencing relationship.

6. The riveting quality inspection method for automobile sunroof assembly according to claim 5 is characterized in that: The riveting force contact distribution includes the riveting contact center, the contact area and the riveting force distribution characteristics.

7. The riveting quality inspection method for automobile sunroof assembly according to claim 1 is characterized in that: Based on the multi-riveted skylight area, stress analysis is performed on each area to obtain the operating stress distribution of each area, including: According to the shape and movement state of the skylight at each operation stage, stress tests of riveted components in each area and stage are carried out to obtain the riveting stress characteristics of each area, including stress type, stress magnitude, and stress direction; Obtain the influence of operating frequency, material creep, and operating environment parameters on operating stress, and predict the distribution of operating stress; The predicted operating stress distribution is used to supplement and integrate the riveting stress characteristics of each region to obtain the operating stress distribution of each region.

8. The riveting quality inspection method for automobile sunroof assembly according to claim 5 is characterized in that: According to the processing application relationship, the processing quality constraint analysis is performed on the operating stress distribution of each area to obtain the quality constraint conditions of the process flow, including: Perform riveting quality feature conversion analysis according to the operating stress distribution of each area to obtain the riveting quality feature target quantity of each area; According to the processing application relationship, a processing control parameter matching analysis is performed on the riveting quality characteristic target quantity of each area to obtain a target processing control parameter; The target processing control parameters are used as quality constraints of the process flow.

9. The riveting quality inspection method for automobile sunroof assembly according to claim 8 is characterized in that: The quality inspection of the sunroof assembly riveting process is performed according to the quality constraint conditions of the process flow to obtain the sunroof riveting quality inspection results, including: Collect processing control parameters in the riveting process of skylight assembly; Matching the collected processing control parameters with the target processing control parameters to obtain a control matching result; The riveting quality detection and analysis is performed according to the control matching result to obtain the skylight riveting quality detection result.

10. The riveting quality inspection system for automobile sunroof assembly is characterized by: The system is used to implement the riveting quality detection method for automobile sunroof assembly according to any one of claims 1 to 9, and comprises: Partitioning module, used to identify and partition riveted parts according to the skylight structure and construct multi-riveted skylight areas; Relationship building module, used to establish the processing application relationship between riveting process flow and riveting quality characteristics; A stress analysis module, for performing stress analysis on each area based on the multi-riveted skylight area to obtain an operational stress distribution of each area; An analysis module, used to perform a processing quality constraint analysis on the operating stress distribution of each region according to the processing application relationship, and obtain quality constraint conditions of the process flow; The quality inspection module is used to perform quality inspection on the sunroof assembly riveting process according to the quality constraint conditions of the process flow to obtain the sunroof riveting quality inspection result.

Citation Information

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