Zipper anti-sticking slot process optimization method for light and thin fabric tops

Abstract

The present application relates to the technical field of zipper anti-jamming slot, and specifically includes a zipper anti-jamming slot process optimization method for light and thin fabric upper garment, which comprises: integrating material structure parameters and mechanical behavior characteristics, simulating dynamic stress of the zipper installation area of the light and thin fabric upper garment, analyzing stress distribution and evolution law under different motion states and opening and closing speed, setting zipper anti-jamming slot structure, and obtaining process optimization parameter combination through parameter optimization. The present application solves the technical problems of lack of comprehensive analysis of material structure parameters such as yarn density and friction coefficient and mechanical behavior characteristics, inability to accurately determine the stress distribution of the zipper installation area, and easy occurrence of jamming, fabric wrinkle and damage, realizes determination of the stress distribution of the zipper installation area under different motion states, sets an elastic buffer layer and a guide slide rail through the stress distribution, the elastic buffer layer is differentially configured according to the high stress area, the guide slide rail is set in sections according to the contact surface pressure distribution, and the technical effects of effectively absorbing and dispersing stress and guiding smooth sliding of the zipper are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of zipper anti-stuck slot, and particularly relates to a light and thin fabric upper garment zipper anti-stuck slot process optimization method. BACKGROUND

[0002] Light and thin fabrics are increasingly widely used in the fields of sportswear and outdoor equipment due to their portability and breathability. However, light and thin fabrics are soft and weak in tear resistance, and when used in combination with zippers, problems such as zipper jamming and fabric damage often occur due to movement and frequent opening and closing.

[0003] Current zipper process design for light and thin fabric upper garments only focuses on the static strength of the fabric and ignores the dynamic stress changes in the zipper installation area under movement, which leads to wrinkles and tears in high stress areas, affecting the wearing experience and safety. In particular, the slider often jams, especially when quickly opening and closing, which can cause the fabric to be stuck in the tooth groove, reducing the efficiency of use. In addition, the existing process parameters use fixed standards, lack a dynamic adjustment mechanism based on actual stress distribution and movement scenarios, and are difficult to meet the high precision requirements of industrialized mass production.

[0004] In summary, the existing technology has the technical problems of stress concentration on the contact surface of the zipper and the fabric, lack of comprehensive analysis of material structure parameters such as yarn density and friction coefficient and mechanical behavior characteristics, inability to accurately determine the stress distribution of the zipper installation area, and easy occurrence of jamming, fabric wrinkles and damage. SUMMARY

[0005] The present application provides a light and thin fabric upper garment zipper anti-stuck slot process optimization method, which aims to solve the technical problems of stress concentration on the contact surface of the zipper and the fabric, lack of comprehensive analysis of material structure parameters such as yarn density and friction coefficient and mechanical behavior characteristics, inability to accurately determine the stress distribution of the zipper installation area, and easy occurrence of jamming, fabric wrinkles and damage in the prior art.

[0006] In view of the above problems, the technical solution of the present application is:

[0007] The application provides a process optimization method for preventing a zipper of a light and thin fabric top from being stuck in a slot, wherein the method comprises: integrating material structure parameters and mechanical behavior characteristics, performing dynamic stress simulation analysis on a zipper installation area of the light and thin fabric top, determining stress distribution of the zipper installation area under different motion states, the material structure parameters comprising yarn density and friction coefficient; simultaneously, analyzing contact surface stress evolution law under different opening and closing speeds, extracting time and space correlation characteristics of fabric wrinkle shape and stress concentration area; setting a zipper anti-stuck slot structure comprising an elastic buffer layer and a guide rail according to the stress distribution of the zipper installation area under different motion states; adapting and adjusting the elastic buffer layer and the guide rail according to the time and space correlation characteristics of the fabric wrinkle shape and the stress concentration area, and performing parameter optimization on a rail slot chamfer radius and a zipper tooth gap of the zipper anti-stuck slot structure to obtain a process optimization parameter combination.

[0008] Preferably, the zipper-fabric coupling model is constructed by integrating the material structure parameters and the mechanical behavior characteristics; and based on the zipper-fabric coupling model, the dynamic stress simulation nephogram of the zipper installation area of the light and thin fabric top is obtained according to a preset motion posture.

[0009] Preferably, the elastic buffer layer is arranged at a contact position between the zipper and the light and thin fabric on both sides of the zipper, and the thickness of the elastic buffer layer is differentially configured according to a high stress area of the zipper installation area.

[0010] Preferably, the high stress area of the zipper installation area is determined according to the dynamic stress simulation nephogram; and the elastic buffer layer is arranged in the high stress area, and the elastic buffer layer is used for absorbing and dispersing stress.

[0011] Preferably, a plurality of zipper opening and closing speeds are uniformly extracted in a zipper opening and closing speed interval, and contact surface pressure distributions under the plurality of zipper opening and closing speeds are collected; the characteristic frequency band of stress peak value changing with speed is extracted through the contact surface pressure distributions under the plurality of zipper opening and closing speeds; and the time and space correlation characteristics of fabric wrinkle shape and stress concentration area are determined through time series analysis according to the characteristic frequency band.

[0012] Preferably, the guide rail is arranged inside a zipper tooth slot, and the step height of the guide rail is segmented configured according to the contact surface pressure distribution.

[0013] Preferably, the time and space correlation characteristics of fabric wrinkle shape and stress concentration area are determined through time series analysis, key stress areas in a zipper motion process are marked, the key stress areas comprising a zipper tooth root, an inner side of a slider rail and a connection transition zone of a puller and a pull piece; and a rail basic shape is determined according to the key stress areas.

[0014] Preferably, an orthogonal test matrix of the slide rail slot chamfer radius and the zipper tooth gap containing the zipper anti-jamming slot structure is established; the orthogonal test matrix is used to determine the process optimization parameter combination by taking the number of blockage times of the slider and the stress concentration coefficient as evaluation indexes.

[0015] Preferably, the process optimization parameter combination is uploaded to a zipper production line control center to set the slide rail slot chamfer radius machining precision and the zipper tooth gap control tolerance; real-time stress data of the zipper installation area are collected, and the number of blockage times and the fabric layering rate in the opening and closing process of the zipper are recorded synchronously; the number of blockage times and the fabric layering rate are qualified according to the anti-jamming slot test standard, and if the determination is qualified, the process optimization parameter combination is effective, and a standardized zipper production process file is generated.

[0016] Preferably, if the determination is not qualified, the number of blockage times and the fabric layering rate are determined, the evaluation weight of the process optimization parameter combination is corrected, and parameter optimization is re-executed until the anti-jamming slot test standard is met.

[0017] In summary, one or more technical solutions provided in the present application realize the technical effects of obtaining a dynamic stress simulation cloud diagram by integrating material structure parameters and mechanical behavior characteristics, accurately determining the stress distribution of the zipper installation area under different motion states, and setting an elastic buffer layer and a guide rail according to the stress distribution, the elastic buffer layer is configured according to the difference of the high stress area, and the guide rail is set according to the contact surface pressure distribution, which effectively absorbs and disperses stress and guides the smooth sliding of the zipper. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 A flowchart of a zipper anti-jamming slot process optimization method for a light and thin fabric garment is provided in the present application. DETAILED DESCRIPTION

[0019] In the embodiments, the present application provides a zipper anti-jamming slot process optimization method for a light and thin fabric garment, as shown in the accompanying drawings, the method comprises: Figure 1

[0020] S1: Integrate material structure parameters and mechanical behavior characteristics, perform dynamic stress simulation analysis on the zipper installation area of the light and thin fabric garment, determine the stress distribution of the zipper installation area under different motion states, and the material structure parameters include yarn density and friction coefficient; S2: At the same time, analyze the contact surface stress evolution law under different opening and closing speeds, and extract the space-time correlation characteristics of the fabric wrinkle shape and the stress concentration area.

[0021] ​Specifically, the integration of material structure parameters and mechanical behavior characteristics refers to the combination of material properties such as yarn density and friction coefficient of lightweight fabrics with the mechanical properties during the use of zippers. These parameters are key factors that affect the stress distribution in the zipper installation area. Through numerical simulation software such as ABAQUS or ANSYS, finite element analysis method is used to perform dynamic stress simulation analysis on the zipper installation area. The dynamic stress simulation analysis aims to capture the stress distribution changes in the zipper installation area under different motion states, such as pulling, twisting, and stretching during daily wear, to identify high stress areas and potential stress concentration points. The contact surface stress evolution law under different opening and closing speeds refers to the dynamic changes of contact surface stress due to speed changes during the opening and closing process of the zipper. High-speed cameras and pressure sensors are used to collect contact surface pressure data under different opening and closing speeds (such as 0.1 m / s, 0.3 m / s, 0.5 m / s, etc.), and the stress variation trend over time is analyzed. The extraction of the spatiotemporal correlation characteristics of fabric wrinkle patterns and stress concentration areas uses image processing technology (such as OpenCV) and machine learning algorithms (such as convolutional neural networks) to analyze the wrinkle patterns of fabrics under different stress conditions, establishing a correlation model between wrinkle patterns and stress concentration areas in time and space, thereby providing data support for subsequent anti-jamming slot structure design.

[0022] Execution steps: The integration of material structure parameters and mechanical behavior characteristics is achieved by establishing a zipper-fabric coupling model. Yarn density (usually 50-200 roots / cm²) and friction coefficient (usually between 0.2-0.5) are input into the simulation software. It is verified that the increase of yarn density is negatively correlated with the stress concentration coefficient of the zipper installation area; the decrease of friction coefficient is positively correlated with the stress peak value; when analyzing the contact surface stress evolution law under different opening and closing speeds, it is found that when the opening and closing speed of the zipper increases from 0.1 m / s to 0.5 m / s, the contact surface stress peak value increases from 2.3 MPa to 3.8 MPa, and the stress change frequency increases from 15 Hz to 28 Hz, which indicates that the opening and closing speed has a significant impact on the contact surface stress. By extracting the spatiotemporal correlation characteristics of fabric wrinkle patterns and stress concentration areas, in dynamic simulation, the stress concentration area expands by about 12% for every 0.5 mm increase in wrinkle depth, and the correlation coefficient between stress concentration position and wrinkle pattern reaches 0.87, indicating a strong correlation between the two. These analysis results provide accurate data support for subsequent zipper anti-jamming slot structure design, ensuring the effectiveness of the anti-jamming slot structure in different use scenarios.

[0023] S3: Set the zipper anti-jamming slot structure including the elastic buffer layer and the guide rail according to the stress distribution of the zipper installation area under different motion states; S4: According to the space-time correlation characteristics of the fabric wrinkle form and the stress concentration area, adaptively adjust the elastic buffer layer and the guide rail, and perform parameter optimization on the chamfer radius of the rail slot of the zipper anti-jamming slot structure and the zipper tooth gap to obtain the process optimization parameter combination.

[0024] Specifically, the elastic buffer layer is a layer of elastic material that mainly absorbs and disperses the stress of the zipper installation area, reducing stress concentration. The guide rail is a structure set inside the zipper tooth slot, used to guide the smooth sliding of the zipper slider and prevent the zipper teeth from jamming with the fabric. The chamfer radius of the rail slot refers to the fillet radius of the edge of the rail slot. A larger chamfer radius can reduce 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 smooth and unobstructed opening and closing of the zipper, while preventing the fabric from being jammed into the tooth slot. Adaptive adjustment refers to optimizing the parameters of the elastic buffer layer thickness, guide rail step height, etc. to achieve the best anti-jamming effect according to the specific stress distribution and wrinkle form characteristics. Parameter optimization refers to the process of determining the optimal process parameter combination through data analysis to meet the mechanical performance requirements and actual use effect of the zipper installation area.

[0025] Execution steps: First, determine the stress distribution of the zipper installation area through dynamic stress simulation analysis, identify the high stress area and stress concentration position. 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 adjust within 1-3mm to effectively absorb and disperse stress, and the step height of the guide rail is segmented according to the contact surface pressure distribution, such as setting a higher step height in areas with higher pressure, generally varying between 0.5-1.5mm to guide the smooth sliding of the zipper slider. At the same time, based on the space-time correlation characteristics of the fabric wrinkle form and the stress concentration area, the chamfer radius of the rail slot (usually between 0.3-1mm) and the zipper tooth gap (generally within the range of 0.1-0.3mm) are optimized. Through the orthogonal test matrix, the number of slider jamming and the stress concentration coefficient are used as evaluation indexes to determine the optimal process parameter combination.

[0026] Further, integrate material structure parameters and mechanical behavior characteristics, perform dynamic stress simulation analysis on the zipper installation area of the light and thin fabric coat, and the method of the present application includes:

[0027] The material structure parameters are integrated with the mechanical behavior characteristics to construct a zipper-fabric coupling model; based on the zipper-fabric coupling model, a dynamic stress simulation nephogram of the zipper installation area of the light and thin fabric upper garment is obtained according to a preset motion posture.

[0028] Specifically, the integration of material structure parameters and mechanical behavior characteristics to construct a zipper-fabric coupling model refers to the combination of physical properties such as yarn density and friction coefficient of light and thin fabric with the mechanical characteristics during the use of the zipper, which is used to simulate the interaction between the zipper and the fabric. These parameters are crucial for simulating the stress distribution of the zipper installation area under different motion states. Through numerical simulation software such as ANSYS or ABAQUS, the finite element analysis method can be used to construct the zipper-fabric coupling model, and the dynamic stress simulation nephogram is a visualization tool for simulation analysis results, which can intuitively show the stress distribution of the zipper installation area under different motion states, helping to identify potential high stress areas and stress concentration points. The preset motion posture is simulated and set according to various motion states that may occur in actual wearing scenarios (such as stretching, twisting, bending, etc.), usually including daily wearing actions (such as arm lifting, twisting, stretching, etc.) and different amplitude pulling actions, to comprehensively evaluate the mechanical performance of the zipper installation area in actual use.

[0029] Execution steps: The construction of the zipper-fabric coupling model is realized by combining the material structure parameters of the light and thin fabric (such as yarn density of 50-200 roots / cm² and friction coefficient of 0.2-0.5) with the mechanical behavior characteristics of the zipper (such as the motion trajectory of the zipper head and the contact pressure of the zipper teeth). According to the preset motion posture (such as arm lifting angle of 0°, 45°, 90°, etc.), the dynamic stress simulation nephogram of the zipper installation area of the light and thin fabric upper garment can be obtained. For example, in the simulation results, when the arm lifting angle reaches 90°, the stress peak value of the zipper installation area can reach 2.8 MPa, while the stress peak value under the daily wearing state is about 1.5 MPa, and the stress concentration coefficient increases by about 87%. By analyzing the dynamic stress simulation nephogram, it can be found that the stress concentration areas are mainly distributed near the zipper head and inside the zipper tooth groove, and these areas are prone to fabric wrinkles and jamming phenomena. In order to solve these problems, the zipper anti-jamming groove structure needs to be optimized and designed according to the simulation results, such as increasing the thickness of the elastic buffer layer in the high stress area, or adjusting the shape and size of the guide rail, to reduce the stress concentration coefficient and improve the smoothness and durability of the zipper.

[0030] Further, the method of the present application comprises:

[0031] The elastic buffer layer is arranged at the contact position of the zipper on both sides with the light and thin fabric, and the thickness of the elastic buffer layer is differentially configured according to the high stress area of the zipper installation area.

[0032] Specifically, the elastic buffer layer is a material layer with elastic properties, usually made of silicone, polyurethane foam or similar elastic materials, placed on both sides of the zipper in contact with the light and 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 positions with relatively high stress in the zipper installation area determined by dynamic stress simulation analysis. These areas are more prone to fabric wrinkles, tears and zipper jamming problems. Differentiated configuration means adjusting the thickness of the elastic buffer layer according to the specific stress value of the high stress area to achieve more precise stress dispersion effect. Generally, the thickness of the elastic buffer layer is increased in high stress areas, while it is appropriately thinned or not set in low stress areas.

[0033] Execution steps: First, determine the high stress area position and stress distribution of the zipper installation area through dynamic stress simulation cloud map. For example, in dynamic simulation, when the arm lifting angle reaches 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. According to these data, the thickness of the elastic buffer layer is differentiated, generally 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 fabric wrinkles and tears near the zipper head, improving the smoothness and durability of the zipper, and ensuring the reliability and comfort of the light and thin fabric top in different motion states.

[0034] Further, the method of the present application comprises:

[0035] According to the dynamic stress simulation cloud map, determine the high stress area of the zipper installation area; set an elastic buffer layer in the high stress area, the elastic buffer layer is used to absorb and disperse stress.

[0036] Specifically, the dynamic stress simulation cloud chart is a visualization tool generated by numerical simulation software (such as ANSYS or ABAQUS) to show the stress distribution of the zipper installation area under different motion states. The color depth represents the stress size, and the high stress area can be intuitively identified. The high stress area refers to the position where the stress value exceeds the material yield strength or is prone to stress concentration during use, such as the vicinity of the zipper head, the inside of the zipper tooth groove, etc. The elastic buffer layer is usually made of elastic materials such as silicone, polyurethane foam, etc., and is set at the contact position of the zipper on both sides with the light and thin fabric. Its role is to absorb and disperse stress through its elastic deformation, reduce the friction and stress concentration between the fabric and the zipper, thereby improving the smoothness and durability of the zipper, and reducing the risk of fabric wrinkles and damage in the zipper installation area.

[0037] Execution steps: The dynamic stress simulation cloud chart can accurately identify the high stress position of the zipper installation area. 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 vicinity of the zipper head is a typical high stress area. The elastic buffer layer is set in these high stress areas, and its thickness can be differentiated according to the stress size. Usually the thickness of the buffer layer in the high stress area is set to 1.2-2.0mm, and in the low stress area it is set to 0.5-1.0mm; 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 fabric wrinkles and tearing near the zipper head, improving the smoothness and durability of the zipper, and ensuring the reliability and comfort of the light and thin fabric top in different motion states.

[0038] Further, by analyzing the contact surface stress evolution law under different opening and closing speeds, the spatiotemporal correlation characteristics of fabric wrinkle shape and stress concentration area are extracted, and the method of the present application includes:

[0039] A plurality of zipper opening and closing speeds are uniformly extracted in the zipper opening and closing speed interval, and the contact surface pressure distribution under a plurality of zipper opening and closing speeds is collected; the characteristic frequency band of the stress peak changing with speed is extracted through the contact surface pressure distribution under the plurality of zipper opening and closing speeds; according to the characteristic frequency band, time series analysis is performed to determine the spatiotemporal correlation characteristics of the fabric wrinkle shape and the stress concentration area.

[0040] Specifically, uniformly extracting multiple zipper opening and closing speeds in the speed interval and collecting the contact surface pressure distribution under 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 0.1 m / s, 0.2 m / s, 0.3 m / s, 0.4 m / s, 0.5 m / s, etc. from 0.1 m / s to 0.5 m / s, using a zipper opening and closing tester to operate the zipper at speeds of 0.1 m / s, 0.2 m / s, 0.3 m / s, 0.4 m / s, 0.5 m / s, etc., and simultaneously using a pressure sensor to collect pressure distribution data of the contact surface between the zipper and the fabric. These data reflect the pressure variation between the zipper teeth and the fabric at different speeds. By extracting the characteristic frequency band of the stress peak value changing with the speed from the contact surface pressure distribution under multiple zipper opening and closing speeds, it means that the frequency domain analysis is performed on the collected pressure data, and the characteristic frequency band of the stress peak value changing with the zipper opening and closing speed is extracted using methods such as Fast Fourier Transform (FFT). These characteristic frequency bands can represent the stress variation law and main fluctuation frequency of the zipper at different opening and closing speeds. According to the characteristic frequency band, time series analysis is performed to determine the time and space correlation characteristics of the fabric wrinkle shape and stress concentration area, which means that based on the characteristic frequency band, combined with time series analysis methods (such as autocorrelation analysis, cross-correlation analysis, etc.), the time and space correlation characteristics of the fabric wrinkle shape and stress concentration area are studied, i.e. the time lag relationship and spatial distribution relationship between the formation and development of fabric wrinkles and the appearance and change of stress concentration area in the zipper opening and closing process are analyzed, thereby providing more accurate data support for subsequent anti-jamming slot structure design.

[0041] Execution steps: First, uniformly extract multiple speed values from the zipper opening and closing speed interval, such as 0.1 m / s, 0.2 m / s, 0.3 m / s, 0.4 m / s, 0.5 m / s, use a zipper opening and closing tester to test at these speeds, and simultaneously collect the contact surface pressure distribution through a pressure sensor; extract the characteristic frequency band of the stress peak value changing with the speed through frequency domain analysis, find that the main characteristic frequency is concentrated in the range of 10-30 Hz, and as the opening and closing speed increases, the amplitude of the characteristic frequency band also increases accordingly. Further time series analysis finds that there is a clear time lag relationship between the fabric wrinkle shape and the stress concentration area, i.e. about 0.2-0.5 seconds after the wrinkle forms, the stress concentration area will have a clear stress peak value, and in space, the stress concentration area is mainly distributed at the root and turning point of the wrinkle. Based on these analysis results, important basis can be provided for the optimization design of the zipper anti-jamming slot structure, for example, increasing the thickness of the elastic buffer layer in the stress concentration area, or adjusting the shape and size of the guide rail to reduce the stress concentration coefficient and improve the smoothness and durability of the zipper.

[0042] Further, the method of the present application comprises:

[0043] The guide rail is arranged inside the zipper slot, and the stepped height of the guide rail is segmented according to the contact surface pressure distribution.

[0044] Specifically, the guide rail is a structural component installed inside the zipper slot, usually made of wear-resistant materials such as nylon or polyformaldehyde. Its main function is to guide the smooth sliding of the zipper slider on the zipper teeth, preventing the zipper teeth from being stuck due to misalignment or jamming with the fabric. The stepped height of the guide rail refers to the different levels of the guide rail arranged along the height direction of the zipper teeth. This stepped design can be segmented according to the contact surface pressure distribution to adapt to the pressure requirements of different areas. The contact surface pressure distribution refers to the pressure variation of the contact area between the zipper teeth and the fabric, usually measured by pressure sensors, reflecting the pressure size at different positions of the zipper during opening and closing. Inside the zipper slot, the contact surface pressure at different positions may differ greatly, such as higher pressure near the zipper head and lower pressure away from the zipper head. Segmented configuration means that according to the specific situation of the contact surface pressure distribution, the stepped height of the guide rail is divided into multiple sections, and the height of each section is adjusted according to the pressure size of the area to achieve better guiding effect and stress dispersion function.

[0045] Execution steps: By analyzing the dynamic stress simulation cloud map and the contact surface pressure distribution data, the pressure variation at different positions inside the zipper slot can be determined. For example, in the area near the zipper head, the contact surface pressure is usually high, reaching about 2.5MPa, while at a position 1cm away from the zipper head, the pressure may drop to about 1.2MPa. In order to better adapt to this pressure change, the stepped height of the guide rail can be segmented. In high pressure areas, the stepped 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 stepped height can be appropriately reduced (such as 0.5-1.0mm) to reduce material usage and maintain flexibility. Time series analysis shows that the guide rail with segmented configuration can effectively reduce the number of stalls of the zipper slider 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 more smooth during opening and closing, reducing the damage to the fabric or the failure of the zipper caused by uneven pressure, thereby significantly improving the practicality and wearing comfort of the light and thin fabric top.

[0046] Further, the method of the present application comprises:

[0047] According to the time series analysis, the spatiotemporal correlation characteristics of the fabric wrinkle shape and the stress concentration area are determined, and the key stress areas in the zipper movement process are marked, including the zipper tooth root, the inner side of the slider track, and the connection transition zone of the puller and the pull piece; according to the key stress areas, the slide rail basic shape is determined.

[0048] Specifically, the key stress area refers to the position where stress is concentrated and easy to cause jamming and fabric damage during the use of the zipper, including the zipper tooth root, the inner side of the slider track, and the connection transition zone of the puller and the pull piece. Due to the structural characteristics and stress mechanism, these areas are prone to generate high contact stress and deformation during the opening and closing process of the zipper. Time series analysis is a statistical analysis method used to study time-dependent data sequences and reveal the laws and trends of data changes over time. The spatiotemporal correlation characteristics describe the mutual relationship between the fabric wrinkle shape and the stress concentration area in time and space, that is, how the formation and development of wrinkles affect the occurrence and changes of stress concentration areas, and vice versa. Marking the key stress area means determining the positions of these key parts through analysis and marking them for focus in subsequent structure design and optimization. The slide rail basic shape is the basic geometric shape of the guide rail, which is usually designed according to the stress distribution and spatial position of the key stress area to ensure that the slide rail can effectively guide the movement of the zipper slider and disperse stress.

[0049] Execution steps: First, through time series analysis, the spatiotemporal correlation characteristics of the fabric wrinkle shape and the stress concentration area are studied in depth, and according to the analysis results, the positions of the key stress areas are marked. For example, in the zipper tooth root, stress concentration mainly occurs at the contact between the tooth root and the fabric, with an area of about 2mm×3mm; the high stress area on the inner side of the slider track is distributed along the inner edge of the track, with a length of about 5mm; the stress concentration in the connection transition zone of the puller and the pull piece appears in the fillet area of the connection, with a radius of about 1mm. Based on the characteristics of these key stress areas, the slide rail basic shape is determined. In the zipper tooth root area, the slide rail is designed as a stepped structure with a large support area, with a step height of 1.2mm to enhance support and disperse stress; in the inner side of the slider track, the slide rail adopts an inward concave arc design with a curvature radius of 0.8mm to guide the smooth passage of the slider and reduce friction; in the connection transition zone of the puller and the pull piece, the slide rail is designed as a smooth transition shape with a chamfer radius of 0.5mm to reduce stress concentration.

[0050] Further, the slide rail slot chamfer radius of the zipper anti-jamming slot structure and the zipper tooth gap are optimized, and the process optimization parameter combination is obtained, the method comprising:

[0051] An orthogonal test matrix including the slide rail slot chamfer radius of the zipper anti-jamming slot structure and the zipper tooth gap is established; the orthogonal test matrix is used to determine the process optimization parameter combination by taking the slide block jamming frequency and the stress concentration coefficient as evaluation indexes.

[0052] Specifically, the orthogonal test matrix aims to find the optimal parameter combination through a limited number of tests. The slide rail slot chamfer radius is the fillet radius of the edge of the slide rail slot, and a larger chamfer radius can reduce stress concentration and improve the passability of the zipper slide block; the zipper tooth gap is the spacing between the zipper teeth, and a reasonable tooth gap can ensure smoothness during the opening and closing of the zipper, while preventing the fabric from being jammed into the tooth groove. The slide block jamming frequency refers to the number of times the slide block is jammed due to stress concentration or structural design problems during the opening and closing of the zipper, which is an important indicator for measuring the smoothness of the zipper. 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-jamming slot effect and zipper tensile strength.

[0053] Execution steps: First, according to different zipper models and use scenarios, the test range of the slide rail slot chamfer radius is determined to be 0.3-1.2mm, and 0.3mm is selected as the step size to select 0.3mm, 0.6mm, 0.9mm, and 1.2mm; the test range of the zipper tooth gap is 0.1-0.4mm, and 0.1mm is selected as the step size to select 0.1mm, 0.2mm, 0.3mm, and 0.4mm. Use the orthogonal test matrix, each group needs to be repeated at least 3 times to improve the reliability of the data; the significance of the influence of the slide rail slot chamfer radius on the jamming frequency is p<0.01, and the significance of the influence of the zipper tooth gap on the stress concentration coefficient is p<0.05, which indicates that these two parameters have a significant impact on the tensile strength of the zipper, and the process optimization parameter combination is determined as the slide rail slot chamfer radius 0.9mm and the zipper tooth gap 0.2mm. Determining the process optimization parameter combination significantly improves the smoothness and durability of the zipper, reduces the risk of jamming and stress concentration, and ensures the reliability and comfort of lightweight fabric tops in various use scenarios.

[0054] Further, the process optimization parameter combination is determined by taking the slide block jamming frequency and the stress concentration coefficient as evaluation indexes, and the method of the application comprises:

[0055] The process optimization parameter combination is uploaded to the zipper production line control center to set the slide slot chamfer radius machining precision and the zipper tooth gap control tolerance; real-time stress data of the zipper installation area is collected, and the number of stalls and the fabric layering rate during the opening and closing of the zipper are recorded synchronously; the number of stalls and the fabric layering rate are qualified according to the anti-stalling slot test standard, and if qualified, the process optimization parameter combination is effective, and a standardized zipper production process file is generated.

[0056] Specifically, the process optimization parameter combination refers to the combination of the optimal slide 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 slide slot chamfer radius machining precision refers to the manufacturing error range of the slide slot chamfer radius during the production process, usually in millimeters, such as ±0.05mm or ±0.1mm, and higher machining precision helps to ensure that the shape and size of the slide 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, and strict tolerance control can ensure the fitting precision and smoothness of the zipper teeth. Collecting real-time stress data of the zipper installation area is achieved by arranging strain gauges or optical fiber 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 stalls and the fabric layering rate during the opening and closing of the zipper refers to simultaneously counting the number of stalls and the proportion of fabric layering damage due to excessive stress during the zipper opening and closing test. The number of stalls reflects the smoothness of the zipper, and the fabric layering rate reflects the reliability of the fabric and zipper combination. The anti-stalling slot test standard is a set of pre-established criteria for evaluating whether the anti-stalling slot performance of the zipper is qualified, usually including maximum allowable stall number and fabric layering rate limit value indicators. Qualified determination refers to evaluating the collected stall number and fabric layering rate according to the anti-stalling slot test standard, and if it meets the standard requirements, it is considered that the process optimization parameter combination is effective, and a standardized zipper production process file can be generated for mass production.

[0057] Execution step: upload the determined process optimization parameter combination (e.g. slide slot chamfer radius 0.9mm, zipper tooth gap 0.2mm) to the zipper production line control center, set the machining precision of the slide slot chamfer radius to ±0.05mm, and the control tolerance of the zipper tooth gap to ±0.03mm, to ensure that the produced zipper meets the design requirements after optimization. On the production line, real-time stress data is collected through strain gauges installed in the zipper installation area. The data shows that during the opening and closing process of the zipper, the stress peak value is controlled at about 2.1MPa, which is lower than the pre-optimization value of 3.2MPa, and the stress concentration coefficient is reduced to 1.4, with a significant optimization effect. At the same time, the automatic counting device is used to record the number of stalls during the opening and closing process of the zipper. After 100 opening and closing tests, the average stall number is 1.5 times, which is much lower than the upper limit of 5 times specified in the anti-stalling slot test standard; image analysis software is used to evaluate the fabric delamination rate, and the result shows that the delamination rate is only 2.3%, which is much lower than the limit value of 10% specified in the standard. According to these data, it is determined that the process optimization parameter combination is qualified and effective, and a standardized zipper production process file is generated, which records the key technical parameters such as slide slot chamfer radius, zipper tooth gap, machining precision and control tolerance, etc., to guide subsequent batch production and ensure that each batch of zipper meets the high performance standard after optimization, thereby improving the overall quality of light and thin fabric blouses and user experience.

[0058] Further, the number of stalls and the fabric delamination rate are qualified, and the method of the present application further comprises:

[0059] If it is determined to be unqualified, the stall number determination information and the fabric delamination rate determination information are used to modify the evaluation weight of the process optimization parameter combination, and the parameter optimization is re-executed until the anti-stalling slot test standard is met.

[0060] Specifically, in the process of optimizing the anti-stalling slot of the zipper of the light and thin fabric blouse, if it is determined to be unqualified, the process needs to be re-optimized. The stall number determination information refers to whether the number of stalls recorded in the anti-stalling slot test exceeds the preset limit value. The fabric delamination rate determination information refers to whether the proportion of fabric delamination damage in the zipper installation area due to excessive stress exceeds the specified standard. The evaluation weight of the process optimization parameter combination refers to the importance of the slide slot chamfer radius and the zipper tooth gap in affecting the number of stalls and the fabric delamination rate in the orthogonal test matrix. The evaluation weight is modified, which means that according to the actual test results, the weight of the two parameters in the evaluation system is adjusted to more accurately reflect their influence on the tensile strength of the zipper. The parameter optimization is re-executed, which means that after adjusting the weight, the new optimal process parameter combination is determined again using methods such as orthogonal test matrix, until the anti-stalling slot test standard is met.

[0061] Execution step: assume that the process optimization parameter combination of a certain test is the slide rail notch chamfer radius 0.9mm, the zipper tooth gap 0.2mm, but the jamming number is 6 times / 100 times opening and closing, which exceeds the upper limit of 5 times specified in the anti-jamming groove test standard; the fabric layering rate is 12%, which exceeds the limit value of 10%. At this time, it is determined that this combination is unqualified. Through the analysis of the test data, it is found that the influence weight of the slide rail notch chamfer radius on the jamming number is 0.6, and the influence weight of the zipper tooth gap on the fabric layering rate is 0.7. In order to correct the evaluation weight, the weight of the slide rail notch 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, the slide rail notch chamfer radius is selected between 0.6mm and 1.0mm, with three levels of 0.2mm step; the zipper tooth gap is selected between 0.15mm and 0.35mm, with three levels of 0.1mm step, preferably, when the slide rail notch chamfer radius is 0.8mm and the zipper tooth gap is 0.25mm, the jamming number is reduced to 3 times / 100 times opening and closing, and the fabric layering rate is reduced to 8.5%, both of which meet the anti-jamming groove test standard. At this time, it is determined that the new process optimization parameter combination is effective, and a standardized production process file is generated to guide subsequent batch production, ensuring that the performance and reliability of the zipper meet the expected requirements.

[0062] In summary, the beneficial effects of the embodiments of the present application are:

[0063] Due to the adoption of the integrated material structure parameters and mechanical behavior characteristics, the dynamic stress simulation analysis is performed on the zipper installation area of the light and thin fabric garment, the stress distribution of the zipper installation area under different motion states is determined, the material structure parameters include yarn density and friction coefficient; at the same time, the contact surface stress evolution law under different opening and closing speeds is analyzed, and the space-time correlation characteristics of the fabric wrinkle shape and stress concentration area are extracted; through the stress distribution of the zipper installation area under different motion states, the zipper anti-jamming groove structure including the elastic buffer layer and the guide slide rail is set; according to the space-time correlation characteristics of the fabric wrinkle shape and stress concentration area, the elastic buffer layer and the guide slide rail are adapted and adjusted, and the slide rail notch chamfer radius and the zipper tooth gap of the zipper anti-jamming groove structure are parameter optimized, to obtain the process optimization parameter combination. Through the provision of the light and thin fabric garment zipper anti-jamming groove process optimization method, the dynamic stress simulation cloud diagram is obtained by integrating the material structure parameters and the mechanical behavior characteristics, the stress distribution of the zipper installation area under different motion states can be accurately determined, the elastic buffer layer and the guide slide rail are set through the stress distribution, the elastic buffer layer is differentially configured according to the high stress area, and the guide slide rail is segmented set according to the contact surface pressure distribution, to effectively absorb and disperse stress and guide the smooth sliding of the zipper.

[0064] In summary, any step can be stored as computer instructions or programs in an unrestricted computer memory and can be called and recognized by an unrestricted computer processor, and no further limitation is made here.

[0065] Further, the above technical solutions only embody the preferred technical solutions of the technical solutions of the embodiments of the present application, and some changes made by the person skilled in the art to some parts thereof also embody the principles of the novel embodiments of the present application. Obviously, the person skilled in the art can make various modifications and changes to the present application without departing from the scope of the present application.

Claims

1. A method for optimizing the anti-jamming process of a zipper on a light and thin fabric top under dynamic stress analysis, characterized in that, The method includes: By integrating material structural parameters and mechanical behavior characteristics, dynamic stress simulation analysis is performed on the zipper mounting area of ​​a lightweight fabric top to determine the stress distribution in the zipper mounting area under different motion states. The material structural parameters include yarn density and coefficient of friction. Meanwhile, the evolution of contact surface stress under different opening and closing speeds was analyzed, and the spatiotemporal correlation characteristics between fabric fold morphology and stress concentration area were extracted. By analyzing the stress distribution in the zipper installation area under different motion states, a zipper anti-jamming structure including an elastic buffer layer and a guide rail is designed. Based on the spatiotemporal correlation characteristics between the fabric fold shape and the stress concentration area, the elastic buffer layer and guide rail are adapted and adjusted, and the chamfer radius of the guide rail groove and the zipper tooth gap of the zipper anti-jamming structure are optimized to obtain the process optimization parameter combination. The method analyzes the stress evolution of the contact surface under different opening and closing speeds and extracts the spatiotemporal correlation characteristics between fabric wrinkle morphology and stress concentration areas. Multiple zipper opening and closing speeds were uniformly sampled within the zipper opening and closing speed range, and the contact surface pressure distribution under multiple zipper opening and closing speeds was collected. By analyzing the contact surface pressure distribution at the multiple zipper opening and closing speeds, the characteristic frequency range of stress peak change with speed is extracted. Based on the characteristic frequency bands, time series analysis is performed to determine the spatiotemporal correlation characteristics between fabric fold morphology and stress concentration areas; The chamfer radius of the slide rail groove and the zipper tooth clearance of the zipper anti-jamming structure are optimized to obtain a combination of process optimization parameters. The method includes: Establish an orthogonal test matrix that includes the chamfer radius of the slide rail groove and the zipper tooth clearance of the zipper anti-jamming structure; Using the orthogonal test matrix, the combination of process optimization parameters is determined with the number of slider jams and stress concentration factor as evaluation indicators.

2. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot 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: By integrating material structural parameters and mechanical behavior characteristics, a zipper-fabric coupling model is constructed. Based on the zipper-fabric coupling model, a dynamic stress simulation cloud map of the zipper installation area of ​​the lightweight fabric top is obtained according to the preset motion posture.

3. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 2, characterized in that, The elastic buffer layer is located on both sides of the zipper where it contacts the thin fabric, and the thickness of the elastic buffer layer is configured differently according to the high-stress areas of the zipper installation area.

4. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 3, characterized in that, The method includes: Based on the dynamic stress simulation cloud map, the high-stress areas of the zipper installation area are determined; An elastic buffer layer is provided in the high-stress area to absorb and disperse stress.

5. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 1, characterized in that, The guide rail is located inside the zipper tooth groove, and the step height of the guide rail is segmented according to the pressure distribution on the contact surface.

6. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 5, characterized in that, The method includes: Based on time series analysis, the spatiotemporal correlation characteristics between fabric wrinkle morphology and stress concentration areas are determined, and key stress areas during zipper movement are marked. These key stress areas include the root of the zipper teeth, the inner side of the slider track, and the connection and transition area between the zipper head and the zipper tab. The shape of the slide rail foundation is determined based on the key stress areas.

7. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 1, characterized in that, With the slider jamming times, stress concentration coefficient as evaluation index, determine the process optimization parameter combination, the method comprises: Upload the process optimization parameter combination to the zipper production line control center, set the slide rail notch chamfer radius machining precision, zipper tooth gap control tolerance; Collect real-time stress data of the zipper installation area, synchronously record the jamming times and fabric layering rate in the zipper opening and closing process; With the anti-jamming slot test standard, the jamming times and fabric layering rate are qualified, if the judgment is qualified, the process optimization parameter combination is effective, and the standardized zipper production process file is generated.

8. The process optimization method for preventing the light and thin fabric garment zipper from being stuck in the slot under dynamic stress analysis according to claim 7, characterized in that, The method further comprises: If the judgment is not qualified, the jamming times judgment information and the fabric layering rate judgment information are used to correct the evaluation weight of the process optimization parameter combination, and the parameter optimization is re-executed until the anti-jamming slot test standard is met.

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