Process optimization method for preventing zipper of jacket made of light and thin fabric from being clamped in groove

Abstract

The invention relates to the related technical field of zipper anti-blocking, in particular to a light and thin fabric jacket zipper anti-blocking process optimization method, which comprises the following steps: integrating material structure parameters and mechanical behavior characteristics, performing dynamic stress simulation on a light and thin fabric jacket zipper mounting area, analyzing stress distribution and evolution rules under different motion states and opening and closing speeds, and determining the anti-blocking process of a light and thin fabric jacket zipper. And a zipper anti-clamping groove structure is arranged, and a process optimization parameter combination is obtained through parameter optimization. The technical problems that comprehensive analysis of material structure parameters such as yarn density and friction coefficient and mechanical behavior characteristics is lacked, stress distribution of a zipper installation area cannot be accurately determined, and jamming and fabric wrinkling and damage are prone to occurring are solved, stress distribution of the zipper installation area in different motion states is determined, and the application range of the zipper installation area is widened. The elastic buffer layer and the guide sliding rail are arranged through stress distribution, the elastic buffer layer is differentially configured according to a high-stress area, the guide sliding rail is sectionally arranged according to pressure distribution of a contact surface, stress is effectively absorbed and dispersed, and the zipper is guided to slide smoothly.

Description

Technical Field

[0001] The present invention relates to the technical field related to zipper anti-stuck slots, and in particular to a process optimization method for zipper anti-stuck slots in thin fabric tops. Background Art

[0002] Lightweight fabrics are increasingly used in sportswear, outdoor equipment and other fields because of their portability and breathability. However, lightweight fabrics are soft and have weak tear resistance. When used in combination with zippers, they often cause problems such as zipper jamming and fabric damage due to pulling during exercise and frequent opening and closing.

[0003] The current zipper design process for lightweight fabric tops only focuses on the static strength of the fabric, ignoring the dynamic stress changes in the zipper installation area during movement. This leads to wrinkles and tears in high-stress areas, affecting the wearing experience and safety. In particular, the slider frequently gets stuck, especially when opening and closing quickly, which can easily cause the fabric to get stuck in the tooth groove, reducing its efficiency. In addition, the existing process parameters mostly use fixed standards and lack a dynamic adjustment mechanism based on actual stress distribution and movement scenarios, making it difficult to meet the high-precision requirements of industrial mass production.

[0004] To sum up, the existing technology has stress concentration at the contact surface between the zipper and the fabric, lacks a comprehensive analysis of material structural parameters and mechanical behavior characteristics such as yarn density and friction coefficient, and cannot accurately determine the stress distribution in the zipper installation area, which easily leads to technical problems such as jamming and fabric wrinkles and damage. Summary of the Invention

[0005] This application provides a method for optimizing the anti-stuck slot process of zippers on thin fabric tops, aiming to solve the technical problems in the existing technology of stress concentration at the contact surface between the zipper and the fabric, lack of comprehensive analysis of material structural parameters and mechanical behavior characteristics such as yarn density and friction coefficient, inability to accurately determine the stress distribution in the zipper installation area, and prone to jamming, fabric wrinkles and damage.

[0006] In view of the above problems, the technical solution to implement this application is: The present application provides a method for optimizing the process of preventing zippers from getting stuck on thin fabric tops, wherein the method comprises: integrating material structure parameters and mechanical behavior characteristics, performing dynamic stress simulation analysis on the zipper installation area of ​​the thin fabric top, and determining the stress distribution of the zipper installation area under different motion states, wherein the material structure parameters include yarn density and friction coefficient; at the same time, analyzing the stress evolution law of the contact surface under different opening and closing speeds, and extracting the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area; providing a zipper anti-stuck slot structure including an elastic buffer layer and a guide rail according to the stress distribution of the zipper installation area under different motion states; adaptively adjusting the elastic buffer layer and the guide rail according to the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area, and performing parameter optimization on the rail slot chamfer radius and the zipper tooth gap of the zipper anti-stuck slot structure to obtain a process optimization parameter combination.

[0007] Preferably, the material structure parameters and mechanical behavior characteristics are integrated to construct a zipper-fabric coupling model; based on the zipper-fabric coupling model, a dynamic stress simulation cloud map of the zipper installation area of ​​the thin fabric top is obtained according to a preset motion posture.

[0008] Preferably, the elastic buffer layer is provided at the contact points between the two sides of the zipper and the thin fabric, and the thickness of the elastic buffer layer is differentially configured according to the high stress area of ​​the zipper installation area.

[0009] Preferably, a high stress area of ​​the zipper installation area is determined based on the dynamic stress simulation cloud map; and an elastic buffer layer is provided in the high stress area, and the elastic buffer layer is used to absorb and disperse stress.

[0010] Preferably, multiple zipper opening and closing speeds are uniformly sampled in the zipper opening and closing speed range, and the contact surface pressure distribution at the multiple zipper opening and closing speeds is collected; through the contact surface pressure distribution at the multiple zipper opening and closing speeds, the characteristic frequency segment in which the stress peak value changes with the speed is extracted; based on the characteristic frequency segment, time series analysis is performed to determine the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area.

[0011] Preferably, the guide rail is arranged inside the zipper tooth groove, and the step height of the guide rail is configured in sections according to the pressure distribution of the contact surface.

[0012] Preferably, the spatiotemporal correlation characteristics of the fabric wrinkle morphology and the stress concentration area are determined based on time series analysis, and the key stress areas during the zipper movement are marked. The key stress areas include the roots of the zipper teeth, the inner side of the slider track, and the connection transition area between the slider and the pull tab; based on the key stress areas, the basic shape of the slide rail is determined.

[0013] Preferably, an orthogonal test matrix including the chamfer radius of the slide rail slot and the zipper tooth gap of the zipper anti-stuck slot structure is established; using the orthogonal test matrix, the number of slider jams and the stress concentration coefficient are used as evaluation indicators to determine the process optimization parameter combination.

[0014] Preferably, the process optimization parameter combination is uploaded to the zipper production line control center, and the processing accuracy of the slide rail groove chamfer radius and the zipper tooth gap control tolerance are set; the real-time stress data of the zipper installation area is collected, and the number of jams and the fabric delamination rate during the zipper opening and closing process are synchronously recorded; based on the anti-jamming slot test standard, the number of jams and the fabric delamination rate are judged to be qualified. If they are qualified, the process optimization parameter combination is valid, and a standardized zipper production process file is generated.

[0015] Preferably, if it is determined to be unqualified, the information on the number of jams and the fabric delamination rate is used to correct the evaluation weight of the process optimization parameter combination, and the parameter optimization is re-executed until the anti-jamming test standard is met.

[0016] In summary, one or more technical solutions provided in this application realize the integration of material structural parameters and mechanical behavior characteristics to obtain a dynamic stress simulation cloud map, which can accurately determine the stress distribution of the zipper installation area under different motion states, and set the elastic buffer layer and guide rail according to the stress distribution. The elastic buffer layer is differentially configured according to the high stress area, and the guide rail is segmented according to the contact surface pressure distribution, which effectively absorbs and disperses stress and guides the zipper to slide smoothly. Technical effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a method for optimizing the anti-stuck slot process of zippers on lightweight fabric tops is provided for this application. DETAILED DESCRIPTION

[0018] Embodiment: The present application will be described in detail below with reference to the accompanying drawings. Figure 1 As shown, the present application provides a method for optimizing the anti-stuck slot process of a zipper on a thin fabric top, wherein the method comprises: S1: Integrating material structural parameters and mechanical behavior characteristics, a dynamic stress simulation analysis is performed on the zipper installation area of ​​a lightweight fabric top to determine the stress distribution in the zipper installation area under different motion states. The material structural parameters include yarn density and friction coefficient. S2: Simultaneously, the stress evolution law of the contact surface at different opening and closing speeds is analyzed to extract the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area.

[0019] Specifically, integrating material structural parameters and mechanical behavior characteristics refers to combining material properties such as yarn density and friction coefficient of lightweight fabrics with the mechanical properties of the zipper during use. These parameters are key factors affecting the stress distribution in the zipper installation area. Using numerical simulation software such as ABAQUS or ANSYS, finite element analysis is used to simulate dynamic stress in the zipper installation area. This dynamic stress simulation aims to capture the changes in stress distribution in the zipper installation area under different motion states, such as the pulling, twisting, and stretching during daily wear, thereby identifying high-stress areas and potential stress concentration points. The evolution of contact surface stress at different opening and closing speeds refers to the dynamic changes in contact surface stress caused by speed changes during the zipper opening and closing process. High-speed cameras and pressure sensors are used to collect contact surface pressure data at different opening and closing speeds (such as 0.1m / s, 0.3m / s, and 0.5m / s), and analyze the stress variation trends over time. The extraction of spatiotemporal correlation features between fabric wrinkle morphology and stress concentration areas utilizes image processing technology (such as OpenCV) and machine learning algorithms (such as convolutional neural networks) to analyze the wrinkle morphology of fabric under different stress conditions, and establish a temporal and spatial correlation model between wrinkle morphology and stress concentration areas, thereby providing data support for subsequent anti-stuck slot structure design.

[0020] Implementation steps: The integration of material structural parameters and mechanical behavior characteristics was achieved by establishing a zipper-fabric coupling model. Parameters such as yarn density (typically 50-200 yarns / cm²) and friction coefficient (usually between 0.2 and 0.5) were input into the simulation software. It was verified that increasing yarn density was negatively correlated with the stress concentration coefficient in the zipper installation area, while decreasing friction coefficient was positively correlated with peak stress. Analysis of the evolution of contact surface stress at different opening and closing speeds revealed that as the zipper opening and closing speed increased from 0.1 m / s to 0.5 m / s, the peak contact surface stress increased from 2.3 MPa to 3.8 MPa, while the stress variation frequency increased from 15 Hz to 28 Hz, indicating a significant influence of opening and closing speed on contact surface stress. By extracting the spatiotemporal correlation between fabric wrinkle morphology and stress concentration areas, dynamic simulations revealed that for every 0.5 mm increase in wrinkle depth, the stress concentration area expanded by approximately 12%. The correlation coefficient between stress concentration location and wrinkle morphology reached 0.87, indicating a strong correlation between the two. These analysis results provide precise data support for the subsequent design of the zipper anti-stuck slot structure, ensuring the effectiveness of the anti-stuck slot structure in different usage scenarios.

[0021] S3: According to the stress distribution of the zipper installation area under different movement states, a zipper anti-stuck slot structure including an elastic buffer layer and a guide rail is set; S4: According to the spatiotemporal correlation characteristics of the fabric wrinkle morphology and the stress concentration area, the elastic buffer layer and the guide rail are adaptively adjusted, and the parameters of the slide rail groove chamfer radius and the zipper tooth gap of the zipper anti-stuck slot structure are optimized to obtain a process optimization parameter combination.

[0022] Specifically, the elastic buffer layer is a layer of elastic material whose main function is to absorb and disperse the stress in the zipper installation area and reduce stress concentration. The guide rail is a structure set inside the zipper tooth groove, which is used to guide the zipper slider to slide smoothly and prevent the zipper teeth from getting stuck with the fabric. The chamfer radius of the rail groove refers to the fillet radius of the edge of the rail groove. A larger chamfer radius can reduce the stress concentration between the zipper teeth and the rail, reducing wear and jamming. The zipper tooth gap refers to the spacing between the zipper teeth. A reasonable tooth gap can ensure that the zipper opens and closes smoothly and prevents the fabric from getting stuck in the tooth groove. Adaptive adjustment refers to the optimization of parameters such as the thickness of the elastic buffer layer and the step height of the guide rail according to the specific stress distribution and wrinkle morphology characteristics to achieve the best anti-slot effect. Parameter optimization refers to the process of determining the optimal combination of process parameters through data analysis to meet the mechanical performance requirements and actual usage effects of the zipper installation area.

[0023] Execution steps: First, determine the stress distribution in the zipper installation area through dynamic stress simulation analysis, and identify high stress areas and stress concentration locations. Then, according to these stress distribution characteristics, set the elastic buffer layer and guide rail. For example, increase the thickness of the elastic buffer layer in the high stress area, usually adjusted within the range of 1-3mm to effectively absorb and disperse stress. The step height of the guide rail is configured in sections according to the pressure distribution of the contact surface. For example, set a higher step height in the area with greater pressure, generally varying between 0.5-1.5mm to guide the zipper slider to slide smoothly. At the same time, based on the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area, the parameters of the slide rail groove chamfer radius (usually between 0.3-1mm) and the zipper tooth gap (usually within the range of 0.1-0.3mm) are optimized. Through the orthogonal test matrix, the number of slider jams and the stress concentration coefficient are used as evaluation indicators to determine the optimal process parameter combination.

[0024] Furthermore, the dynamic stress simulation analysis of the zipper installation area of ​​a lightweight fabric top is performed by integrating material structural parameters and mechanical behavior characteristics. The method of this application includes: The material structure parameters and mechanical behavior characteristics are integrated to construct a zipper-fabric coupling model. Based on the zipper-fabric coupling model, a dynamic stress simulation cloud map of the zipper installation area of ​​the thin fabric top is obtained according to the preset motion posture.

[0025] Specifically, integrating material structural parameters with mechanical behavior characteristics to construct a zipper-fabric coupling model involves combining the physical properties of lightweight fabrics, such as yarn density and friction coefficient, with the mechanical characteristics of the zipper during use to simulate the interaction between the zipper and the fabric. These parameters are crucial for simulating the stress distribution in the zipper mounting area under different motion states. Using numerical simulation software such as ANSYS or ABAQUS and finite element analysis, the zipper-fabric coupling model can be constructed. The dynamic stress simulation cloud map is a visualization tool for analyzing the simulation results, visually displaying the stress distribution in the zipper mounting area under different motion states and helping to identify potential high-stress areas and stress concentration points. Preset motion postures are simulated based on various motion states (such as stretching, twisting, and bending) that may occur in real-world wearing scenarios. These typically include everyday wearing movements (such as arm lifting, twisting, and stretching) as well as pulling movements of varying amplitudes to comprehensively evaluate the mechanical properties of the zipper mounting area during actual use.

[0026] Implementation steps: The zipper-fabric coupling model is constructed by combining the material structural parameters of lightweight fabrics (such as a yarn density of 50-200 yarns / cm² and a friction coefficient between 0.2 and 0.5) with the mechanical behavior of the zipper (such as the motion trajectory of the zipper head and the contact pressure of the zipper teeth). During the simulation, dynamic stress cloud maps are generated for the zipper attachment area of ​​a lightweight top based on preset motion postures (such as arm lift angles of 0°, 45°, and 90°). For example, the simulation results show that when the arm lift angle reaches 90°, the peak stress in the zipper attachment area reaches 2.8 MPa, compared to approximately 1.5 MPa under normal wear conditions, representing an increase in the stress concentration factor by approximately 87%. Analysis of the dynamic stress cloud maps reveals that stress concentration areas are primarily located near the zipper head and within the zipper teeth, areas prone to fabric wrinkling and jamming. To solve these problems, the zipper anti-stuck groove structure needs to be optimized according to the simulation results. For example, the thickness of the elastic buffer layer can be increased in high-stress areas, or the shape and size of the guide rail can be adjusted to reduce the stress concentration factor and improve the smoothness and durability of the zipper.

[0027] Furthermore, the present application method includes: The elastic buffer layer is arranged at the contact points between the two sides of the zipper and the thin fabric, and the thickness of the elastic buffer layer is differentially configured according to the high stress area of ​​the zipper installation area.

[0028] Specifically, the elastic buffer layer is a layer of material with elastic properties, usually made of silicone, polyurethane foam or similar elastic materials. It is set on both sides of the zipper where it contacts the thin fabric. Its main function is to absorb and disperse stress during the use of the zipper, reducing direct friction and stress concentration between the fabric and the zipper. High-stress areas are locations in the zipper installation area with relatively high stress, determined through dynamic stress simulation analysis. These areas are more prone to problems such as fabric wrinkles, tears, and zipper jams. Differentiated configuration refers to adjusting the thickness of the elastic buffer layer according to the specific stress value of the high-stress area to achieve a more accurate stress dispersion effect. Usually, the thickness of the elastic buffer layer is increased in the high-stress area, while the buffer layer is appropriately thinned or not provided in the low-stress area.

[0029] Implementation steps: First, determine the location and stress distribution of high-stress areas in the zipper installation area through a dynamic stress simulation cloud map. For example, in a dynamic simulation, when the arm is raised at an angle of 90°, the stress peak near the zipper head may reach 2.8MPa, while the stress 2cm away from the zipper head is only 1.2MPa, indicating that the area near the zipper head is a typical high-stress area. Based on these data, the thickness of the elastic buffer layer is configured differently. Generally, the buffer layer thickness is set to 1.2-2.0mm in high-stress areas, and 0.5-1.0mm in low-stress areas. The differentiated configuration of the elastic buffer layer can effectively absorb and disperse stress, reduce the friction between the fabric and the zipper, thereby reducing the risk of wrinkles and tears in the fabric near the zipper head, improving the smoothness and durability of the zipper, and ensuring the reliability and comfort of lightweight fabric tops in different movement states.

[0030] Furthermore, the present application method includes: According to the dynamic stress simulation cloud map, a high stress area in the zipper installation area is determined; an elastic buffer layer is provided in the high stress area, and the elastic buffer layer is used to absorb and disperse stress.

[0031] Specifically, a dynamic stress simulation cloud map is a visualization tool generated by numerical simulation software (such as ANSYS or ABAQUS) to display the stress distribution in the zipper installation area under different motion states. The depth of color represents the stress magnitude, and high-stress areas can be intuitively identified. High-stress areas refer to locations where the stress value exceeds the yield strength of the material or where stress concentration is likely to occur during use, such as near the zipper head and inside the zipper teeth. The elastic buffer layer is usually made of elastic materials such as silicone and polyurethane foam. It is set on both sides of the zipper where it contacts the thin fabric. Its function is to absorb and disperse stress through its own elastic deformation, reducing friction and stress concentration between the fabric and the zipper, thereby improving the smoothness and durability of the zipper and reducing the risk of wrinkles and damage to the fabric in the zipper installation area.

[0032] Implementation steps: The high-stress locations in the zipper installation area can be accurately identified through the dynamic stress simulation cloud map. For example, the simulation results show that when the arm lifting angle reaches 90°, the stress peak near the zipper head can reach 2.8MPa, while the stress 2cm away from the zipper head is only 1.2MPa, which indicates that the area near the zipper head is a typical high-stress area. An elastic buffer layer is set in these high-stress areas, and its thickness can be configured differently according to the stress magnitude. Usually, the buffer layer thickness is set to 1.2-2.0mm in high-stress areas and 0.5-1.0mm in low-stress areas; the setting of the elastic buffer layer can effectively absorb and disperse stress, reduce the friction between the fabric and the zipper, thereby reducing the risk of wrinkles and tears in the fabric near the zipper head, improving the smoothness and durability of the zipper, and ensuring the reliability and comfort of lightweight fabric tops in different movement states.

[0033] Furthermore, the stress evolution law of the contact surface under different opening and closing speeds is analyzed to extract the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area. The method of this application includes: Multiple zipper opening and closing speeds are evenly sampled within the zipper opening and closing speed range, and the contact surface pressure distribution at multiple zipper opening and closing speeds is collected. The characteristic frequency segments in which the stress peak value changes with speed are extracted through the contact surface pressure distribution at the multiple zipper opening and closing speeds. Based on the characteristic frequency segments, a time series analysis is performed to determine the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area.

[0034] Specifically, uniformly extracting multiple zipper opening and closing speeds in the zipper opening and closing speed range, and collecting the contact surface pressure distribution at multiple zipper opening and closing speeds means selecting multiple representative speed values ​​from the possible opening and closing speed range of the zipper, for example, uniformly selecting speeds such as 0.1m / s, 0.2m / s, 0.3m / s, 0.4m / s, and 0.5m / s from 0.1m / s to 0.5m / s, and using a zipper opening and closing tester to perform zipper opening and closing operations at speeds such as 0.1m / s, 0.2m / s, 0.3m / s, 0.4m / s, and 0.5m / s, while using a pressure sensor to collect pressure distribution data on the contact surface between the zipper and the fabric. These data reflect the pressure changes between the zipper teeth and the fabric at different speeds. Extracting characteristic frequency segments where peak stress varies with speed based on the contact surface pressure distribution at the multiple zipper opening and closing speeds refers to performing frequency domain analysis on the collected pressure data, using methods such as Fast Fourier Transform (FFT) to extract characteristic frequency segments where peak stress varies with zipper opening and closing speed. These characteristic frequency segments can characterize the stress variation patterns and primary fluctuation frequencies of the zipper at different opening and closing speeds. Based on these characteristic frequency segments, conducting time series analysis to determine the spatiotemporal correlation characteristics between fabric wrinkle morphology and stress concentration areas refers to studying the temporal and spatial correlation characteristics between fabric wrinkle morphology and stress concentration areas based on the characteristic frequency segments and combining time series analysis methods (such as autocorrelation analysis and cross-correlation analysis). Specifically, this involves analyzing the time lag and spatial distribution relationship between the formation and development of fabric wrinkles and the appearance and change of stress concentration areas during the zipper opening and closing process, thereby providing more accurate data support for subsequent anti-stuck slot structure design.

[0035] Implementation steps: First, multiple speed values ​​were uniformly sampled from the zipper opening and closing speed range, such as 0.1m / s, 0.2m / s, 0.3m / s, 0.4m / s, and 0.5m / s. Tests were performed at these speeds using a zipper opening and closing tester, while pressure sensors were used to collect the contact surface pressure distribution. Frequency domain analysis was performed to extract the characteristic frequency bands where stress peaks vary with speed. The primary characteristic frequencies were found to be concentrated in the 10-30Hz range, and the amplitude of these frequency bands increased with increasing opening and closing speed. Further time series analysis revealed a significant time lag between fabric wrinkle morphology and stress concentration areas. Significant stress peaks in these areas occurred approximately 0.2-0.5 seconds after wrinkle formation, and spatially, these stress concentration areas were primarily located at the root and turning points of the wrinkles. These analysis results can provide important insights for optimizing the design of zipper anti-stuck slots. For example, increasing the thickness of the elastic buffer layer in these stress concentration areas or adjusting the shape and size of the guide rails can reduce the stress concentration factor and improve the smoothness and durability of the zipper.

[0036] Furthermore, the present application method includes: The guide rail is arranged inside the zipper tooth groove, and the step height of the guide rail is configured in sections according to the pressure distribution of the contact surface.

[0037] Specifically, a guide rail is a structural component installed within the zipper's tooth groove, typically made of a wear-resistant material such as nylon or polyoxymethylene. Its primary function is to guide the zipper slider smoothly over the zipper teeth, preventing them from getting stuck due to misalignment or entanglement with the fabric. The guide rail's stepped height refers to the different levels of the rail along the height of the zipper teeth. This stepped design can be configured in segments based on the contact pressure distribution to accommodate pressure requirements in different areas. Contact pressure distribution refers to the pressure variation in the contact area between the zipper teeth and the fabric, typically measured by a pressure sensor, reflecting the pressure at different locations during the zipper's opening and closing process. Within the zipper's tooth groove, contact pressure can vary significantly at different locations. For example, pressure is higher near the zipper pull and lower away from the pull. Segmented configuration involves dividing the guide rail's stepped height into multiple sections based on the specific contact pressure distribution. The height of each section is adjusted based on the pressure in that area to achieve better guidance and stress distribution.

[0038] Implementation steps: By analyzing the dynamic stress simulation cloud map and contact surface pressure distribution data, the pressure changes at different locations inside the zipper tooth groove can be determined. For example, in the area near the zipper head, the contact surface pressure is usually higher, reaching about 2.5MPa, while at a distance of 1cm from the zipper head, the pressure may drop to about 1.2MPa. In order to better adapt to this pressure change, the step height of the guide rail can be configured in sections. In high-pressure areas, the step height of the guide rail is set to a higher value (such as 1.2-1.8mm) to provide stronger guidance and support; in low-pressure areas, the step height can be appropriately reduced (such as 0.5-1.0mm) to reduce material usage and maintain flexibility. Time series analysis shows that the segmented guide rail configuration can effectively reduce the number of zipper slider jams in high-pressure areas. In addition, the segmented configuration of the guide rail can also reduce the friction between the zipper teeth and the fabric, making the zipper opening and closing process smoother, reducing fabric damage or zipper failure caused by uneven pressure, thereby significantly improving the practicality and wearing comfort of lightweight fabric tops.

[0039] Furthermore, the present application method includes: Based on time series analysis, the spatiotemporal correlation characteristics between fabric wrinkle morphology and stress concentration areas are determined, and the key stress-bearing areas during zipper movement are marked. The key stress-bearing areas include the roots of the zipper teeth, the inner side of the slider track, and the connection transition area between the slider and the pull tab; based on the key stress-bearing areas, the basic shape of the slide rail is determined.

[0040] Specifically, critical stress areas refer to areas where stress concentrates and is prone to jamming and fabric damage during zipper use. These areas include the base of the zipper teeth, the inner side of the slider track, and the transition zone between the slider and the pull tab. Due to their structural characteristics and stress mechanisms, these areas are prone to high contact stress and deformation during the zipper opening and closing process. Time series analysis is a statistical analysis method used to study time-related data sequences and reveal patterns and trends in data changes over time. Spatiotemporal correlation characteristics describe the temporal and spatial relationship between fabric wrinkle morphology and stress concentration areas, namely, how the formation and development of wrinkles affect the appearance and changes of stress concentration areas, and vice versa. Marking critical stress areas means determining the location of these key areas through analysis and marking them for focus in subsequent structural design and optimization. The basic shape of the slide rail refers to the basic geometric shape of the guide rail. It is usually designed based on the stress distribution and spatial position of the critical stress areas to ensure that the rail can effectively guide the movement of the zipper slider and disperse stress.

[0041] Implementation steps: First, through time series analysis, we thoroughly studied the spatiotemporal correlation between fabric wrinkle morphology and stress concentration areas. Based on these analysis results, we identified key stress-bearing areas. For example, at the root of the zipper teeth, stress concentration primarily occurs at the contact point between the tooth root and the fabric, covering an area of ​​approximately 2mm x 3mm. On the inner side of the slider track, the high-stress area is distributed along the inner edge of the track, measuring approximately 5mm in length. Stress concentration occurs in the rounded corner of the transition zone between the slider and the pull tab, with a radius of approximately 1mm. Based on the characteristics of these key stress-bearing areas, the basic shape of the slide rail was determined. At the root of the zipper teeth, the slide rail is designed with a stepped structure with a large support area and a step height of 1.2mm to enhance support and distribute stress. On the inner side of the slider track, the slide rail adopts a concave arc design with a curvature radius of 0.8mm to guide the slider smoothly and reduce friction. At the transition zone between the slider and the pull tab, the slide rail adopts a smooth transition shape with a chamfer radius of 0.5mm to reduce stress concentration.

[0042] Furthermore, the parameters of the chamfer radius of the slide rail slot and the zipper tooth gap of the zipper anti-stuck slot structure are optimized to obtain a process optimization parameter combination. The method of this application includes: An orthogonal test matrix including the chamfer radius of the slide rail slot and the zipper tooth gap of the zipper anti-stuck slot structure is established; using the orthogonal test matrix, the number of slider jams and the stress concentration factor are used as evaluation indicators to determine the process optimization parameter combination.

[0043] Specifically, the orthogonal test matrix aims to find the optimal parameter combination through a limited number of tests. The chamfer radius of the slide rail slot is the fillet radius of the edge of the slide rail slot. A larger chamfer radius can reduce stress concentration and improve the passability of the zipper slider; the zipper tooth gap is the spacing between the zipper teeth. A reasonable tooth gap can ensure that the zipper opens and closes smoothly and prevents the fabric from getting stuck in the tooth groove. The number of slider jams refers to the number of times the slider jams due to stress concentration or structural design problems during the opening and closing process of the zipper. It is an important indicator for measuring the smoothness of zipper use. The stress concentration coefficient is used to quantify the degree of stress concentration in the zipper installation area and is a key parameter for evaluating the structural strength and durability of the zipper. The process optimization parameter combination refers to the combination of the optimal slide rail slot chamfer radius and zipper tooth gap determined through data analysis to achieve the best anti-slot effect and zipper tensile strength.

[0044] Implementation steps: First, based on different zipper models and usage scenarios, the test range of the rail groove chamfer radius was determined to be 0.3-1.2mm, with four levels of 0.3mm, 0.6mm, 0.9mm, and 1.2mm selected in steps of 0.3mm. The test range of the zipper tooth gap was determined to be 0.1-0.4mm, with four levels of 0.1mm, 0.2mm, 0.3mm, and 0.4mm selected in steps of 0.1mm. An orthogonal test matrix was used, and each group required a minimum of three repetitions to improve data reliability. Analysis of variance determined that the significance of the effect of the rail groove chamfer radius on the number of jams was p < 0.01, and the significance of the effect of the zipper tooth gap on the stress concentration factor was p < 0.05, indicating that both parameters have a significant impact on the tensile strength of the zipper. The process optimization parameter combination was determined to be a rail groove chamfer radius of 0.9mm and a zipper tooth gap of 0.2mm. Determine the process optimization parameter combination to significantly improve the smoothness and durability of zippers, reduce the risk of jamming and stress concentration problems, and ensure the reliability and comfort of lightweight fabric tops in various usage scenarios.

[0045] Furthermore, the number of slider jams and the stress concentration factor are used as evaluation indicators to determine the process optimization parameter combination. The method of this application includes: The process optimization parameter combination is uploaded to the zipper production line control center, and the processing accuracy of the slide rail groove chamfer radius and the zipper tooth gap control tolerance are set; the real-time stress data of the zipper installation area is collected, and the number of jams and the fabric delamination rate during the zipper opening and closing process are synchronously recorded; based on the anti-jamming slot test standard, the number of jams and the fabric delamination rate are judged to be qualified. If they are qualified, the process optimization parameter combination is valid, and a standardized zipper production process file is generated.

[0046] Specifically, the process optimization parameter combination refers to the optimal combination of the slide rail slot chamfer radius and the zipper tooth gap determined through orthogonal test matrix testing, which is used to guide the actual production and manufacturing of zippers. The machining accuracy of the slide rail slot chamfer radius refers to the manufacturing error range of the slide rail slot chamfer radius during the production process, usually measured in millimeters, such as ±0.05mm or ±0.1mm. Higher machining accuracy helps ensure that the shape and size of the slide rail slot meet the design requirements. The zipper tooth gap control tolerance refers to the allowable deviation range of the zipper tooth spacing, generally between ±0.02mm and ±0.05mm. Strict tolerance control can ensure the fitting accuracy and opening and closing smoothness between the zipper teeth. Real-time stress data of the zipper installation area is collected by arranging strain gauges or fiber optic sensors in the zipper installation area to monitor the stress changes of the zipper during use in real time. These data are crucial for evaluating the actual stress state and performance of the zipper. Simultaneously recording the number of zipper jams and fabric delamination rates during the zipper opening and closing process means that during the zipper opening and closing test, the number of times the slider jams and the proportion of fabric delamination damage due to excessive stress are counted simultaneously. The number of jams reflects the smoothness of the zipper's use, and the fabric delamination rate reflects the reliability of the combination of fabric and zipper. The anti-jam test standard is a set of pre-established criteria for evaluating the quality of a zipper's anti-jam performance, usually including indicators such as the maximum allowable number of jams and the limit value of the fabric delamination rate. Qualification judgment refers to the evaluation of the collected number of jams and fabric delamination rate according to the anti-jam test standard. If the standard requirements are met, the process optimization parameter combination is considered valid, and a standardized zipper production process file can be generated for mass production.

[0047] Implementation steps: The optimized process parameter combination (e.g., a 0.9mm chamfer radius for the rail notch and a 0.2mm gap between zipper teeth) was uploaded to the zipper production line control center. The machining accuracy of the rail notch notch was set to ±0.05mm, and the control tolerance for the gap between zipper teeth was set to ±0.03mm to ensure that the zippers produced met the optimized design requirements. On the production line, strain gauges installed in the zipper mounting area collected real-time stress data. The data showed that the peak stress during the zipper opening and closing process was controlled at around 2.1MPa, lower than the 3.2MPa before optimization, and the stress concentration factor was reduced to 1.4, demonstrating significant optimization results. An automatic counting device was also used to simultaneously record the number of zipper jams during opening and closing. After 100 opening and closing tests, the average number of jams was 1.5, far below the upper limit of 5 specified in the anti-jamming test standard. Image analysis software was used to evaluate the fabric delamination rate, revealing a mere 2.3%, far below the 10% limit specified in the standard. Based on these data, the process optimization parameter combination was determined to be qualified and effective, and a standardized zipper production process file was immediately generated. The file detailed key technical parameters such as the chamfer radius of the slide rail groove, the zipper tooth gap, and its processing accuracy and control tolerance. It is used to guide subsequent batch production to ensure that each batch of zippers can meet the optimized high-performance standards, thereby improving the overall quality and user experience of lightweight fabric tops.

[0048] Furthermore, the number of jams and the fabric delamination rate are judged as qualified, and the present application method further includes: If it is judged to be unqualified, the information of the number of jams and the fabric delamination rate is used to correct the evaluation weight of the process optimization parameter combination, and the parameter optimization is re-executed until the anti-jamming test standard is met.

[0049] Specifically, during the process of optimizing the anti-stuck zipper process for jackets made of lightweight fabrics, if it is judged to be unqualified, the process needs to be re-optimized. The information on the number of jams refers to whether the number of slider jams recorded in the anti-stuck test exceeds the preset limit. The information on the fabric delamination rate refers to whether the proportion of delamination damage caused by excessive stress in the zipper installation area exceeds the specified standard. The evaluation weight of the process optimization parameter combination refers to the importance of the influence of the chamfer radius of the slide rail groove and the zipper tooth gap on the number of jams and the fabric delamination rate in the orthogonal test matrix. Modifying the evaluation weight refers to adjusting the weights of these two parameters in the evaluation system based on the actual test results to more accurately reflect their influence on the tensile strength of the zipper. Re-executing parameter optimization refers to using the orthogonal test matrix and other methods again after adjusting the weights to determine a new optimal process parameter combination until the anti-stuck test standard is met.

[0050] Execution steps: Assume that the process optimization parameter combination for a certain test is a slide rail groove chamfer radius of 0.9mm and a zipper tooth gap of 0.2mm, but the number of jams is 6 times / 100 opening and closing times, which exceeds the upper limit of 5 times specified in the anti-slot test standard; the fabric delamination rate is 12%, which exceeds the specified limit of 10%. In this case, the combination is judged to be unqualified. By analyzing the test data, it is found that the influence weight of the slide rail groove chamfer radius on the number of jams is 0.6, and the influence weight of the zipper tooth gap on the fabric delamination rate is 0.7. In order to correct the evaluation weight, the weight of the slide rail groove chamfer radius is adjusted to 0.7, and the weight of the zipper tooth gap is adjusted to 0.8, and the orthogonal test matrix is ​​re-established. When re-executing the parameter optimization, three levels of the slide rail groove chamfer radius between 0.6mm and 1.0mm, with a step size of 0.2mm, and three levels of the zipper tooth gap between 0.15mm and 0.35mm, with a step size of 0.1mm, are selected. Preferably, when the slide rail groove chamfer radius is 0.8mm and the zipper tooth gap is 0.25mm, the number of jams is reduced to 3 times / 100 opening and closing times, and the fabric delamination rate is reduced to 8.5%, both of which meet the anti-slot test standards. At this time, the new process optimization parameter combination is determined to be effective, and a standardized production process file is generated to guide subsequent mass production to ensure that the performance and reliability of the zipper meet the expected requirements.

[0051] In summary, the beneficial effects of the embodiments of the present application are: By integrating material structure parameters and mechanical behavior characteristics, a dynamic stress simulation analysis is conducted on the zipper installation area of ​​a light fabric top to determine the stress distribution of the zipper installation area under different motion states. The material structure parameters include yarn density and friction coefficient. At the same time, the stress evolution law of the contact surface under different opening and closing speeds is analyzed to extract the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area. Based on the stress distribution of the zipper installation area under different motion states, a zipper anti-stuck slot structure including an elastic buffer layer and a guide rail is set. According to the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area, the elastic buffer layer is adaptively adjusted. The buffer layer and the guide rail are optimized, and the chamfer radius of the rail groove and the gap between the zipper teeth of the zipper anti-stuck groove structure are optimized to obtain the process optimization parameter combination. The present application provides a method for optimizing the anti-stuck groove process of zippers on thin fabric tops, and realizes the integration of material structure parameters and mechanical behavior characteristics to obtain a dynamic stress simulation cloud map, which can accurately determine the stress distribution of the zipper installation area under different motion states. The elastic buffer layer and the guide rail are set according to the stress distribution. The elastic buffer layer is differentially configured according to the high stress area, and the guide rail is segmented according to the pressure distribution of the contact surface, which effectively absorbs and disperses stress and guides the zipper to slide smoothly.

[0052] In summary, any step can be stored as a computer instruction or program in an unlimited computer memory and can be called and recognized by an unlimited computer processor, without any unnecessary restrictions.

[0053] Furthermore, the above technical solution only reflects the preferred technical solution of the technical solution of the embodiment of the present application. Some changes that may be made to certain parts thereof by technical personnel in this technical field all reflect the novel principles of the embodiment of the present application. Obviously, technical personnel in this field can make various changes and modifications to the present application without departing from the scope of the present application.

Claims

1. A process optimization method for preventing zippers from getting stuck on thin fabric tops under dynamic stress analysis, characterized in that: The method comprises: Integrating material structural parameters with mechanical behavior characteristics, a dynamic stress simulation analysis was conducted on the zipper installation area of ​​a lightweight fabric top to determine the stress distribution in the zipper installation area under different motion states. The material structural parameters include yarn density and friction coefficient. At the same time, the stress evolution law of the contact surface under different opening and closing speeds is analyzed, and the spatiotemporal correlation characteristics of the fabric wrinkle morphology and stress concentration areas are extracted; According to the stress distribution of the zipper installation area under different motion states, a zipper anti-stuck groove structure including an elastic buffer layer and a guide rail is set; According to the spatiotemporal correlation characteristics of the fabric wrinkle morphology and the stress concentration area, the elastic buffer layer and the guide rail are adaptively adjusted, and the parameters of the rail groove chamfer radius and the zipper tooth gap of the zipper anti-stuck groove structure are optimized to obtain a process optimization parameter combination.

2. The method for optimizing the anti-stuck slot process of a zipper on a thin fabric jacket under dynamic stress analysis according to claim 1, characterized in that: By integrating material structural parameters and mechanical behavior characteristics, a dynamic stress simulation analysis is performed on the zipper installation area of ​​a lightweight fabric top. The method includes: Integrate material structural parameters and mechanical behavior characteristics to construct a zipper-fabric coupling model; Based on the zipper-fabric coupling model and according to a preset motion posture, a dynamic stress simulation cloud map of the zipper installation area of ​​the thin fabric top is obtained.

3. The method for optimizing the anti-stuck slot process of a zipper on a thin fabric jacket under dynamic stress analysis according to claim 2, characterized in that: The elastic buffer layer is arranged at the contact points between the two sides of the zipper and the thin fabric, and the thickness of the elastic buffer layer is differentially configured according to the high stress area of ​​the zipper installation area.

4. The method for optimizing the anti-stuck slot process of a zipper on a thin fabric jacket under dynamic stress analysis according to claim 3, characterized in that: The method comprises: Determining high stress areas in the zipper installation area according to the dynamic stress simulation cloud map; An elastic buffer layer is provided in the high stress area, and the elastic buffer layer is used to absorb and disperse stress.

5. The method for optimizing the anti-stuck slot process of a zipper on a light fabric jacket under dynamic stress analysis according to claim 1, characterized in that: The stress evolution law of the contact surface under different opening and closing speeds is analyzed, and the spatiotemporal correlation characteristics of the fabric wrinkle morphology and the stress concentration area are extracted. The method includes: Evenly sampling multiple zipper opening and closing speeds within the zipper opening and closing speed range, and collecting the contact surface pressure distribution under the multiple zipper opening and closing speeds; Extracting characteristic frequency segments of stress peak value changes with speed based on contact surface pressure distribution at the plurality of zipper opening and closing speeds; According to the characteristic frequency segments, time series analysis is performed to determine the spatiotemporal correlation characteristics between the fabric wrinkle morphology and the stress concentration area.

6. The method for optimizing the anti-stuck slot process of a zipper on a light fabric jacket under dynamic stress analysis according to claim 5, characterized in that: The guide rail is arranged inside the zipper tooth groove, and the step height of the guide rail is configured in sections according to the pressure distribution of the contact surface.

7. The method for optimizing the anti-stuck slot process of a zipper on a thin fabric jacket under dynamic stress analysis according to claim 6, characterized in that: The method comprises: Determine the spatiotemporal correlation between fabric wrinkle morphology and stress concentration areas based on time series analysis, and mark the key stress-bearing areas during zipper movement. These areas include the zipper tooth roots, the inner side of the slider track, and the transition area between the slider and the pull tab. The basic shape of the slide rail is determined according to the key stress-bearing area.

8. The method for optimizing the anti-stuck slot process of a zipper on a thin fabric jacket under dynamic stress analysis according to claim 1, characterized in that: Optimizing the chamfer radius of the rail slot and the zipper tooth gap of the zipper anti-stuck slot structure to obtain a process optimization parameter combination, the method comprising: Establishing an orthogonal test matrix including the chamfer radius of the slide rail slot and the zipper tooth gap of the zipper anti-stuck slot structure; The orthogonal test matrix is ​​used to determine the process optimization parameter combination with the number of slider jams and the stress concentration factor as evaluation indicators.

9. The method for optimizing the anti-stuck slot process of a zipper on a light fabric jacket under dynamic stress analysis according to claim 8, characterized in that: The process optimization parameter combination is determined by using the number of slider jams and the stress concentration factor as evaluation indicators. The method includes: Upload the process optimization parameter combination to the zipper production line control center to set the slide rail notch chamfer radius processing accuracy and zipper tooth gap control tolerance; Collect real-time stress data of the zipper installation area, and simultaneously record the number of zipper jams and fabric delamination rate during the zipper opening and closing process; According to the anti-stuck slot test standard, the number of jams and the fabric delamination rate are judged to be qualified. If they are qualified, the process optimization parameter combination is valid, and a standardized zipper production process file is generated.

10. The method for optimizing the anti-stuck slot process of a zipper on a light fabric jacket under dynamic stress analysis according to claim 9, characterized in that: The number of jams and the fabric delamination rate are judged as qualified, and the method further includes: If it is judged to be unqualified, the information of the number of jams and the fabric delamination rate is used to correct the evaluation weight of the process optimization parameter combination, and the parameter optimization is re-executed until the anti-jamming test standard is met.

Images