Method and system for automatically testing stripping force of adhesive tape

Abstract

The invention relates to the technical field of stripping force testing, in particular to an automatic testing method and system for stripping force of an adhesive tape, and fracture stage division is realized by collecting stress vector change, extracting direction reversal characteristics, analyzing and identifying abnormal sections in combination with energy consumption density, executing tension data reconstruction and constructing an energy consumption distribution track. According to the method, the stress vector change sequence is constructed by setting the stress sampling interval, the dynamic inversion behavior of the stress direction can be tracked in real time in the stripping process, the inversion point set is generated based on the vector direction change trend, and the dynamic capture capability of the microscopic stripping behavior is enhanced. And a density index system is established by combining the energy consumption difference and the inversion frequency, so that the energy consumption characteristic is associated with the time structure, and the perception resolution of the adhesion energy consumption sudden change position is remarkably improved. And further carrying out coupling analysis on the density change trend and the threshold value to finish high-precision identification of the offset interval, thereby promoting clear definition of the adhesion state fluctuation stage.

Description

Technical Field

[0001] The present invention relates to the technical field of peeling force testing, and in particular to an automatic testing method and system for the peeling force of an adhesive tape. Background Art

[0002] The field of peel force testing encompasses quantitative measurement of surface adhesion properties, primarily used to assess the separation strength between an adhesive product and its substrate when subjected to external forces. The core of this technical field lies in utilizing specific devices and methods to determine the peel force required per unit width of adhesive tape by controlling parameters such as peel angle, peel speed, and force direction.

[0003] Among them, the automated test method for tape peeling force refers to the automated measurement of the adhesion force of a tape material with adhesion properties by performing a peeling operation at a set angle and constant speed through a combination of mechanical structure and control program.

[0004] In the existing technology, the peeling process only relies on a single direction or single axis force detection method to evaluate adhesion, which fails to effectively consider the continuous change of stress direction in the peeling path, resulting in a lack of dynamic recognition ability for minor abnormal behaviors such as force reversal and adhesion disturbance. In the data acquisition stage, there is a general lack of a coordinated analysis method for time nodes and spatial paths, which makes the sampling data disconnected from the actual energy consumption evolution process. The energy consumption characteristics cannot be extracted in a refined manner, and the density mapping relationship between energy consumption changes and peeling behavior cannot be established, which limits the capture of sudden energy consumption fluctuation areas. In the abnormality identification and data correction links, the original methods mostly use full-process average smoothing or single-point replacement, which makes it difficult to retain the evolution characteristics of local abnormalities and instead obscures the key judgment basis. There is a lack of a systematic decomposition mechanism for slope changes during the tensile analysis process, which makes it difficult to extract the stage characteristics of the energy consumption distribution structure. The above defects may cause distortion of the peeling force data and fuzzy interface fracture characteristics during the peeling process, resulting in deviations in the adhesion performance evaluation results of precision materials, reducing the reference value and reproducibility of the test results. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an automatic testing method and system for the peeling force of an adhesive tape.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a method for automatically testing the peeling force of an adhesive tape, comprising the following steps: S1: By setting the stress sampling interval, the stress vector change sequence during the tape peeling process is obtained, the stress direction reversal behavior in the sequence is identified, and the sorted tape stress direction reversal point set is constructed; S2: obtaining a stripping energy consumption sequence corresponding to a stripping position with a time index of each reversal point in the sorted tape stress direction reversal point set, calculating the energy consumption reversal density of the stripping energy consumption sequence at a specified time, and constructing a tape stripping energy consumption reversal density set; S3: determining, based on the tape stripping energy consumption reversal density set, an abnormal stripping section with potential force value deviation during the tape stripping process, and obtaining a tape deviation interval identifier set; S4: obtaining the tape offset interval identifier set and the peeling tension measurement value change sequence collected synchronously during the entire process, and performing local tension data reconstruction processing according to the corresponding time period in the sequence to obtain tape peeling reconstructed tension data; S5: Based on the tape peeling reconstructed tensile force data, the tensile force amplitude and the corresponding displacement increment during the tape peeling process are calculated to construct the energy consumption distribution trajectory during the tape peeling process and divide the process into stages to obtain the tape interface fracture identification result.

[0007] As a further solution of the present invention, the sorted tape stress direction reversal point set specifically includes the reversal time index, the reversal position index, and the direction change angle; the tape stripping energy consumption reversal density set includes the energy consumption difference per unit time, the reversal frequency normalization value, and the reversal density estimation value; the tape offset interval identification set specifically includes the offset start time, the offset end time, and the offset segment number; the tape stripping reconstructed tensile data includes the corrected tensile value sequence, the fitting deviation rate, and the reconstructed effective segment number; the tape interface fracture identification result includes the adhesion segment, the energy consumption sudden increase segment, and the unstable segment.

[0008] As a further solution of the present invention, the steps for obtaining the sorted tape stress direction reversal point set are specifically as follows: S111: Using a triaxial stress sensor to collect a stress direction vector sequence at a peeling point during the tape peeling process, constructing the collected data into a continuous three-dimensional stress vector sequence based on a set time step, and generating a tape stress angle change value; S112: Based on the change value of the tape stress angle, determine whether the angle between adjacent data points is greater than an angle threshold, mark them as reversed according to the time index, and record the corresponding peeling path position to generate a tape direction reversal mark point set; S113: extracting paired data of all time indexes and peeling path position indexes from the tape direction reversal mark point set and arranging them in chronological order to establish a sorted tape stress direction reversal point set.

[0009] As a further solution of the present invention, the steps for obtaining the tape stripping energy consumption inversion density set are specifically as follows: S211: calling the sorted tape stress direction reversal point set and the synchronously acquired peeling energy consumption sequence, extracting the energy consumption values ​​in a fixed interval before and after each reversal point according to the time index, and calculating the energy consumption difference between adjacent time points to generate a reversal point energy consumption difference sequence; S212: Based on the energy consumption difference sequence of the reversal points, accumulate the energy consumption difference in each time segment, and normalize it according to the reversal frequency to obtain the normalized energy consumption density at the specified time; S213: Constructing a time-density correspondence relationship based on the normalized energy consumption density of the designated time, inputting a Poisson regression model to calculate the predicted density of each time segment, and generating a tape stripping energy consumption inversion density set.

[0010] As a further solution of the present invention, the steps for obtaining the tape offset interval identification set are specifically as follows: S311: Divide the tape stripping energy consumption reversal density set into equally spaced continuous segments in chronological order, detect whether the density value in each segment continuously increases, and extract segments whose density value growth trend is greater than the average growth amount of adjacent segments to generate a continuous growth segment sequence; S312: According to the sequence of continuously growing segments, a density change control limit threshold is set, and the density change of each segment is compared to determine whether there are multiple consecutive segments whose growth exceeds the change control limit threshold, and a set of numbers of segments exceeding the limit growth is obtained; S313: Extracting the corresponding time index range according to the over-growth segment number set and marking it as a potential force value offset segment, summarizing the segment start and end times according to the segment number, and establishing a tape offset interval identification set.

[0011] As a further solution of the present invention, the steps for obtaining the tape peeling and reconstructing the tensile force data are specifically as follows: S411: calling the tape offset interval identifier set and the peeling tension measurement sequence collected synchronously during the whole process, extracting the tension change within the time index range corresponding to each offset interval, and obtaining the offset section tension measurement sequence; S412: Calculating first-order differences of adjacent data points based on the offset section tension measurement sequence and setting a deviation change rate threshold, screening data points whose change rates are greater than the deviation change rate threshold as points requiring correction, and obtaining a screened deviation tension data point set; S413: Based on the time index corresponding to the filtered deviation tension data point set, interpolation fitting is performed and the value of the abnormal data point is replaced, and the tension value sequence of each section is reconstructed and merged into the full-process data to generate tape stripping reconstructed tension data.

[0012] As a further solution of the present invention, the steps for obtaining the tape interface fracture identification result are specifically as follows: S511: extracting the tension amplitude and corresponding displacement change values ​​between adjacent tension extreme points based on the tape stripping reconstructed tension data and the synchronously acquired stripping displacement data, to obtain a stripping section energy distribution data set; S512: Arranging each data point in the stripping sequence according to the stripping section energy distribution data set and connecting them to generate a continuous change curve, identifying the slope trend difference of the continuous change curve at a local position, and obtaining a slope change trend sequence of the stripping process; S513: According to the slope change trend sequence of the peeling process, determine whether the slope change amplitude between adjacent sections exceeds the stage division reference value, and divide the corresponding stages according to the slope change pattern to obtain the tape interface fracture identification result.

[0013] An automated tape peeling force testing system is provided, wherein the automated tape peeling force testing system is used to perform the automated tape peeling force testing method described above, and the system comprises: The reversal identification module obtains the stress vector change sequence during the tape peeling process by setting the stress sampling interval, identifies the stress direction reversal behavior in the sequence, and constructs a sorted tape stress direction reversal point set; The density extraction module obtains a stripping energy consumption sequence corresponding to a stripping position with a time index of each reversal point in the sorted tape stress direction reversal point set, calculates the energy consumption reversal density of the stripping energy consumption sequence at a specified time, and constructs a tape stripping energy consumption reversal density set; The section identification module determines, based on the tape stripping energy consumption reversal density set, an abnormal stripping section with potential force value deviation during the tape stripping process, and obtains a tape deviation interval identification set; The tension reconstruction module obtains the tape offset interval identifier set and the peeling tension measurement value change sequence collected synchronously throughout the entire process, and performs local tension data reconstruction processing according to the corresponding time period in the sequence to obtain tape peeling reconstructed tension data; The fracture judgment module reconstructs the tensile force data based on the tape peeling, calculates the tensile force amplitude and the corresponding displacement increment during the tape peeling process, constructs the energy consumption distribution trajectory during the tape peeling process, and divides the process into stages to obtain the tape interface fracture identification result.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by setting the stress sampling interval to construct a stress vector change sequence, it is possible to track the dynamic reversal behavior of the stress direction in real time during the peeling process, and generate a set of reversal points based on the trend of vector direction changes, thereby enhancing the dynamic capture capability of microscopic peeling behavior. A density index system is established by combining the energy consumption difference and the reversal frequency, so that the energy consumption characteristics are associated with the time structure, significantly improving the perception resolution of the location of the adhesion energy consumption mutation. The trend of density change and the threshold are further coupled and analyzed to complete the high-precision identification of the offset interval, which promotes the clear definition of the adhesion state fluctuation stage. The difference correction and curve reconstruction of the tensile data are performed for the offset section to avoid the interference of abnormal data on the overall analysis accuracy and enhance the data integrity and stability. Through the coupled analysis of the tensile force and displacement increments, the energy consumption distribution trajectory of the whole process is established, the energy release stage is segmented based on the slope difference, and the energy consumption characteristic segments of the peeling process are accurately extracted to achieve intelligent identification of the interface fracture behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 This is a flow chart of step S1 of the present invention; Figure 3 This is a flow chart of step S2 of the present invention; Figure 4 This is a flow chart of step S3 of the present invention; Figure 5 This is a flow chart of step S4 of the present invention; Figure 6 This is a flow chart of step S5 of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length," "width," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0018] See also Figure 1The present invention provides a technical solution: a method for automatically testing the peeling force of an adhesive tape, comprising the following steps: S1: By setting the stress sampling interval, the stress vector change sequence during the tape peeling process is obtained, the stress direction reversal behavior in the sequence is identified, and the sorted tape stress direction reversal point set is constructed; S2: Obtain the stripping energy consumption sequence of the stripping position corresponding to the time index of each reversal point in the sorted tape stress direction reversal point set, calculate the energy consumption reversal density of the stripping energy consumption sequence at the specified time, and construct the tape stripping energy consumption reversal density set; S3: Based on the tape stripping energy consumption reversal density set, determine the abnormal stripping section with potential force value deviation during the tape stripping process, and obtain the tape deviation interval identification set; S4: Obtaining a tape offset interval identifier set and a peeling tension measurement value change sequence collected synchronously throughout the entire process, and performing local tension data reconstruction processing according to a corresponding time period in the sequence to obtain tape peeling reconstructed tension data; S5: Based on the reconstructed tensile data of the tape peeling process, the tensile amplitude and the corresponding displacement increment are calculated to construct the energy dissipation trajectory during the tape peeling process and divide it into stages to obtain the tape interface fracture identification result; The sorted tape stress direction reversal point set includes the reversal time index, reversal position index, and direction change angle. The tape stripping energy consumption reversal density set includes the energy consumption difference per unit time, the normalized reversal frequency value, and the reversal density estimation value. The tape offset interval identification set includes the offset start time, the offset end time, and the offset segment number. The tape stripping reconstructed tensile data includes the corrected tensile value sequence, the fitting deviation rate, and the reconstructed effective segment number. The tape interface fracture identification results include the adhesion segment, the energy consumption sudden increase segment, and the unstable segment.

[0019] See also Figure 2 , the steps for obtaining the sorted tape stress direction reversal point set are as follows: S111: Using a triaxial stress sensor to collect a stress direction vector sequence at a peeling point during the tape peeling process, constructing the collected data into a continuous three-dimensional stress vector sequence based on a set time step, and generating a tape stress angle change value; During the tape peeling experiment, a triaxial stress sensor was placed at the starting point of the peeling path to monitor the stress values ​​in three directions at the peeling point in real time. The sampling frequency of the sensor was set to 500 Hz, which means that every Collect data once, and record the stress in the X-axis, Y-axis, and Z-axis directions each time, which are recorded as stress vectors: ,in: :Indicates the The three-dimensional stress vector collected at each time point; : represents the stress value in the X-axis direction at that time point, in Newton (N); : Indicates the stress value in the Y-axis direction at that time point, in Newton (N); : represents the stress value in the Z-axis direction at that time point, in Newton (N); :Indicates the first time points; : Indicates a time point after this time point, corresponding to the next data group in the sequence.

[0020] For example, the sampling data for groups 1 to 5 are: Group 1: , Group 2: , Group 3: , Group 4: , Group 5: To analyze the change in stress direction, the direction angle between each group and its successor group is calculated using the following formula: ; The meaning of each term in the formula is as follows: :Indicates the Group and The angle between the stress vectors of a group, in degrees (°); :For the Group and The dot product of the group stress vectors is calculated as: , : No. The modulus of the group stress vector is calculated as: , : No. The modulus of the group stress vector is calculated in the same way.

[0021] Taking group 1 and group 2 as an example: the dot product is calculated as: ; Module length 1 calculation: ; Modulus 2 calculation: .

[0022] Substitute to calculate the angle: .

[0023] The angle calculation of all data pairs is completed in this way to form an angle change sequence.

[0024] S112: Based on the change value of the tape stress angle, determine whether the angle between adjacent data points is greater than an angle threshold, mark them as reversed according to the time index, and record the corresponding peeling path position to generate a tape direction reversal mark point set; Perform threshold judgment on each angle value obtained to determine whether it is greater than the angle threshold. The threshold is set to This value is set based on the fact that an angle exceeding 45 degrees indicates a sharp deflection of direction in multiple experiments. The judgment process is as follows: Perform comparison operation: If , then its time index is recorded as ; Check the peeling path coordinates corresponding to the time point and obtain the three-dimensional coordinate values , the unit is millimeter (mm). Taking the fourth group as an example, if the calculation is , meets the conditions, then: the corresponding time index is Assume that the coordinate system records the peeling path point at this time as 、 、 The recording method is a set of four data: time + three-dimensional coordinates, that is, Second, If we further find that group 7 , if the conditions are met, then add Second, , by traversing the angle sequence group by group, all the direction reversal record points that meet the conditions are screened out.

[0025] S113: extracting paired data of all time indexes and peeling path position indexes from the tape direction reversal mark point set and arranging them in chronological order to establish a sorted tape stress direction reversal point set; All the obtained reversal point data are sorted by "time from small to large" and structured into groups of data items, each of which contains four values: time (unit: second), X-axis coordinate (unit: mm), Y-axis coordinate (unit: mm), and Z-axis coordinate (unit: mm).

[0026] For example, if the following three sets of direction reversal points are identified in the experiment: Group 4: Second, ; Group 7: Second, ; Group 9: Second, .

[0027] Arranged in ascending time order, the complete sequence of peel stress reversal points is obtained. This sorting process involves simply comparing the values ​​of the first time value field in each record and adjusting the record order based on the result. This serves as key node data for the stress direction evolution path, which can be used to visualize the peel trajectory or analyze path mutation patterns.

[0028] See also Figure 3 The specific steps for obtaining the tape stripping energy consumption inversion density set are as follows: S211: Calling the sorted tape stress direction reversal point set and the synchronously acquired peeling energy consumption sequence, extracting the energy consumption values ​​in a fixed interval before and after each reversal point according to its time index, and calculating the energy consumption difference between adjacent time points to generate a reversal point energy consumption difference sequence; Using the obtained tape stress direction reversal point time as a reference, call the stripping energy consumption data sequence collected synchronously with it, extract the time index at each reversal point as the positioning basis, and set a fixed time segment with this time point as the center (for example, 5 sampling points before and after, covering a time of 0.01 seconds). Extract the corresponding energy consumption values ​​within this segment and sort them by time. For example, the sequence is: Directly calculate the difference between the last value and the first value in the segment (i.e. ), which represents the total difference in energy consumption before and after the reversal point. Repeat the above steps to extract and calculate all reversal points one by one to form a complete reversal point energy consumption difference sequence.

[0029] S212: Based on the energy consumption difference sequence at the reversal points, accumulate the energy consumption difference in each time segment and normalize it according to the reversal frequency to obtain the normalized energy consumption density at the specified time; Based on the energy consumption difference sequence of the reversal point, after determining a fixed time segment, all the reversal points that appear in the time segment are first identified and marked. The power change value before and after each reversal point is obtained through a real-time sampling device to form the energy consumption difference record of the reversal point. After all the reversal points are located, the corresponding energy consumption difference set is extracted in chronological order. Then, the maximum and minimum values ​​of the energy consumption difference in the time segment are counted as the normalization boundary benchmark of the time segment. Then, each energy consumption difference is linearly normalized by subtracting the minimum value from the current energy consumption difference and then dividing it by the difference range between the maximum and minimum values. This method is used to normalize the non- The energy consumption differences at the same reversal point are uniformly mapped to a standard interval between zero and one, which facilitates subsequent horizontal data comparison between different time periods or different devices. For example, the energy consumption differences of the four reversal points collected within a certain time period are several measured values, which represent the energy changes caused by the instantaneous power fluctuations corresponding to the working condition change during the operation of the equipment. Each difference in the processing flow is calculated by combining the maximum and minimum differences in the time period to complete the standardized mapping. After the processing is completed, a normalized energy consumption density sequence containing four values ​​is formed. This sequence establishes a mapping relationship with the original time period, which is used to unify the data format and support subsequent model processing or chart analysis.

[0030] S213: constructing a time-density correspondence relationship based on the normalized energy consumption density at the specified time, inputting a Poisson regression model to calculate the predicted density of each time segment, and generating a tape stripping energy consumption inversion density set; The normalized energy consumption density value of each time period in the previous stage and its corresponding time period start time are constructed into a set of time density correspondences, and the time term is recorded as , the unit is second (s), the normalized energy consumption density is recorded as , in joules / time (J / time), is used as the input data for the current prediction. To further analyze the relationship between energy consumption change trends and time behavior, a Poisson regression structural model including a nonlinear time factor and a historical density change rate correction term is introduced to estimate the predicted density value for the current time period. The following improved formula is used: ; in: :Indicates the The predicted normalized energy consumption density for the time period, in J / time; : The start time of the current time period, in seconds, from the input time series, for example ; : The constant term of the model, which controls the exponential benchmark of the basic density level, is determined during the training phase and is set here as ; : Linear regression coefficient, indicating the linear growth trend of density over time, the unit is log density / second, here set to ; : Nonlinear term coefficient, which represents the acceleration or slowdown trend change introduced by the time square term, and provides correction in the process of non-uniform energy consumption change. In this example, the value is ; : Density change correction weight coefficient, which measures the impact of historical density growth on current density, and is taken as ; The basis for setting the above coefficients is derived from the statistical analysis of energy consumption changes and time evolution trends in the actual tape stripping experiment. The setting of the constant term reflects the baseline value of energy consumption density in the initial stage of the stripping process (such as), and its value is determined based on the natural logarithmic density level after regression and averaging of multiple groups of initial segment data. The linear term coefficient is obtained by fitting the average rising rate of energy consumption density for every 0.01 second increase in time during the stripping process. The higher the value, the more sensitive the time is to the density change. This value is the optimal slope estimate obtained by fitting all time period data by the least squares method in the experiment; the nonlinear term coefficient is used to suppress the deviation of the energy consumption growth rate in the high time period. By observing the energy consumption increase in the middle and late stripping stages (such as The long-term trend is stable or even falling. Based on this, a quadratic term is introduced and the coefficient is set to a negative value to correct the problem of linear prediction overshoot. This value is obtained through residual analysis and fine-tuning of the deviation fitting curve trend; the fluctuation weighted coefficient reflects the influence of the change in energy consumption density in the previous time period on the prediction of the current time period. After multiple rounds of tests at different stripping speeds and material hardnesses, it was found that the current density level is affected by the change rate of the previous period by about 37% to 58%. The median is taken as a more robust coefficient setting to ensure that the model has a certain response ability to the mutation point and can suppress abnormal disturbances. All coefficients are finally determined based on the principle of minimizing the experimental regression error, and are verified to be stable and repeatable in multiple groups of tape stripping experiments of different batches.

[0031] : Density change rate in the previous time period, in J / times / second, calculated as: ; in and are the normalized energy consumption densities of the previous period and the period before that, both in J / time. and is the corresponding time point, in seconds, reflecting the trend of the increase and decrease rate of energy consumption density over time. If the two periods before and after are and , the corresponding normalized density is and , then: , bring all the above parameters into the prediction formula, and set the current time period as , then the calculation is as follows: .

[0032] The predicted value Indicates the time period The predicted stripping energy consumption density is formed by the combined influence of the current time process, the nonlinear time factor, and the density change rate of the previous time period. Repeating this prediction operation can model all time periods and finally generate a complete sequence containing the predicted energy consumption density of each time period.

[0033] See also Figure 4 The specific steps for obtaining the tape offset interval identification set are as follows: S311: Divide the tape stripping energy consumption reversal density set into equally spaced continuous segments in chronological order, detect whether the density value in each segment continuously increases, and extract segments whose density value growth trend is greater than the average growth amount of adjacent segments to generate a continuous growth segment sequence; After calculating the predicted normalized energy density, the density data series needs to be segmented at equal intervals along the time axis. First, the time segment length is set to a fixed value, for example, each segment is 0.020 seconds long. During the entire tape stripping time period, it is divided into continuous segments from the start time, and the start and end time points of each segment are recorded as to , the division operation can be completed accurately according to the total length of the stripped data and the interval between unit segments. Then, the normalized density data within each segment is tested for incrementality one by one, that is, whether the density sequence in the current segment satisfies that each item is greater than the previous item. On the contrary, if any item decreases, the segment does not meet the condition. Then, the total density growth in each segment needs to be calculated. The specific method is the difference between the last item and the first item of the density sequence of the current segment. For example, the starting density of the segment is 0.0115 J / time, and the ending density is 0.0152 J / time, then the growth amount is 0.0152-0.0115=0.0037 J / time. times, and then calculate the average growth for all segments. Suppose there are 20 segments in total, the total growth is 0.045J / time, and the average is 0.045 / 20=0.00225J / time. Then, for each segment that meets the continuous increase in density, the growth is compared with the average growth. If the growth of a segment exceeds the average, it will be extracted. For example, if the growth of a segment is 0.0037, which is greater than 0.00225, the segment will be recorded. Finally, all segments that meet the continuous growth of density and whose growth intensity exceeds the average growth are obtained, and these segments are summarized in chronological order to construct a sequence of continuously growing segments.

[0034] S312: Based on the sequence of continuously growing segments, a density change control limit threshold is set, and the density change of each segment is compared to determine whether there are multiple consecutive segments whose growth exceeds the change control limit threshold, and a set of numbers of the segments exceeding the limit growth is obtained; First, the control limit threshold of the normalized density growth change is set according to the actual fluctuation amount. The threshold is used to define what kind of growth rate can be regarded as "out-of-limit growth". This value needs to be set through historical data and verified to be representative. The threshold is set to 0.003J / time. According to the density growth of each continuous growth segment in the previous step, its value and the control limit are judged item by item. The judgment rule is that if the growth amount is greater than 0.003, it is regarded as "out-of-limit", and the segment number is recorded. Continue to traverse the entire sequence. If three or more consecutive segments are found in the segment number sequence, If the growth amounts are all greater than the control limit threshold, it is marked as "continuous over-limit". For example, the growth amounts of the 6th, 7th and 8th segments are 0.0032, 0.0036 and 0.0034 J / time respectively, which are all higher than the control limit threshold. It is determined that there is continuous over-limit, and the corresponding numbers 6, 7 and 8 are recorded as the over-limit growth segment numbers. The above comparison operation is achieved by comparing the density difference with the set threshold value without the participation of the model. Each group of segment judgments only involves one difference and one threshold comparison. Finally, all segment numbers that meet the conditions are summarized to form a number set.

[0035] S313: Extract the corresponding time index range according to the over-growth segment number set and mark it as a potential force value offset segment. Summarize the segment start and end times according to the segment number to establish a tape offset interval identifier set. Map each segment number in the segment number set that has been determined to have exceeded the limit back to the original time index range and extract the start time of each segment and end time For example, the start and end time of segment numbered 6 is from 0.120 seconds to 0.140 seconds, that of segment numbered 7 is from 0.140 seconds to 0.160 seconds, and that of segment numbered 8 is from 0.160 seconds to 0.180 seconds. Then, its time period information is marked as a potential force value offset segment. If there are multiple segments with adjacent numbers that can be merged, their numbers are combined. For example, segments numbered 6, 7, and 8 are continuous segments, which are merged into a group of offset segments and recorded as 6 to 8. After all records are merged and sorted, the corresponding relationship between the time range and segment number of each offset segment is output in the order of numbers to form a complete set of offset interval identification data sequence, with the structure of segment number range + start and end time. For example, the time range corresponding to numbers 6–8 is 0.120–0.180 seconds. This information serves as the segment identification basis for the final force value anomaly identification stage.

[0036] See also Figure 5 The specific steps for obtaining the tape peeling reconstruction tensile data are as follows: S411: calling the tape offset interval identifier set and the peeling tension measurement sequence collected synchronously during the whole process, extracting the tension change within the time index range corresponding to each offset interval, and obtaining the offset section tension measurement sequence; The tape offset interval identification set obtained by calling the peeling tension measurement sequence collected synchronously during the whole process needs to be located one by one for the time range corresponding to each offset segment number. The positioning method is to find the corresponding start time index in the segment number record. Index with end time , the corresponding tension value data in the tension measurement sequence is intercepted in this range to form a local sequence. For example, the offset segment numbered 4 has a start time of 0.120 seconds and an end time of 0.180 seconds, corresponding to a total of 30 sampling points, and the sampling time interval of each point is 0.002 seconds. The corresponding tension data sequence is , the unit is Newton (N). This sequence is the offset segment tension measurement sequence. The extraction process is to calculate the data position through the time index and sampling frequency, and read the tension value in sequence without data interpolation or segment reordering. It is directly obtained from the original measurement record. The above operation needs to be repeated for all offset segment numbers to ensure that each offset segment can obtain the corresponding tension measurement sequence, and finally form a set of multiple tension data segments indexed by segment number.

[0037] S412: Calculate the first-order difference of adjacent data points based on the offset section tension measurement sequence and set a deviation change rate threshold. Filter data points whose change rates are greater than the deviation change rate threshold as points requiring correction, and obtain a filtered deviation tension data point set. Based on the tension measurement sequence, the first-order difference of the adjacent tension values ​​in each data segment is calculated, that is, a subtraction operation is performed on every two consecutive data points in the current data sequence, and the calculated value is , the unit is still Newton, for example, the current tension sequence is , then the difference sequence is , and then obtain the complete difference data of each segment. Then, the change rate in these difference sequences needs to be screened and processed, and the deviation change rate threshold is set. The threshold is set according to the floating range of normal peeling tension changes in the experimental data. If the statistical change range based on 50 groups of samples is , then the value exceeding this interval is considered abnormal, and the threshold is finally set to , that is, the judgment rule is that if the difference is greater than +0.20 or less than −0.20, it is abnormal, and the judgment is made item by item. When the difference exceeds the set threshold range, the tension data of the corresponding time index is recorded as a point that needs to be corrected. For example, , significantly exceeds the threshold range, the point index is recorded in the deviation tension data point set, and all data points that meet the conditions are generated through difference judgment. Finally, the abnormal data points in all offset segments are summarized and numbered according to the original sequence time index to construct a complete set of tension data points that need to be corrected.

[0038] S413: Based on the time index corresponding to the filtered deviation tension data point set, interpolation fitting is performed and the value of the abnormal data point is replaced, the tension value sequence of each section is reconstructed and merged into the full-process data, and the tape stripping reconstructed tension data is generated; Based on the set of deviation tension data points, the data at the corresponding time index needs to be numerically corrected. The correction method is to use the interpolation fitting strategy to complete the correction. That is, the tension values ​​of the adjacent normal points on both sides of the abnormal data point are used for linear fitting calculation. The fitting value is obtained by solving the slope of the difference between adjacent points and multiplying it by the time interval and then adding it back to the previous value to replace the original abnormal value. For example, in a certain offset section, the time index is The data point value for the second is , and its adjacent point values ​​are and , the time interval is 0.002 seconds, then the linear fitting value is: fitting slope The difference between the offset time and the previous value is 0.002 seconds, so the fitting value is After replacing the original value 14.8 with 13.4, the current point correction is completed. Repeat this process to replace the data of all points that need to be corrected. After completion, the corrected tensile value sequence of each segment is restored and merged. The merging process is reorganized according to the segment number sequence and the continuity of the time period to avoid data duplication or breakage. Finally, a continuous tensile data sequence from the beginning to the end of the stripping process is reconstructed. This data set is the tape stripping reconstructed tensile data, which serves as the input source for the full-process mechanical behavior analysis.

[0039] See also Figure 6 The specific steps for obtaining the tape interface fracture identification results are as follows: S511: Based on the tape stripping reconstructed tension data and the synchronously acquired stripping displacement data, the tension amplitude and corresponding displacement change values ​​between adjacent tension extreme points are extracted to obtain a stripping section energy distribution data set; Based on the tensile force data collected simultaneously during the tape peeling process and displacement data , first with a uniform time sampling period Time-align the two signals to form a synchronized data sequence ,in: :Indicates the Sampling time points, in seconds (s); : Indicates at a point in time The corresponding peeling force value is in Newton (N); : Indicates at a point in time The corresponding peeling displacement value is in meters (m); : Indicates the index number of the sampling point, ranging from ; : Indicates the total number of sampling points in the stripping section minus one, a total of data points.

[0040] In order to calculate the energy per unit section during the peeling process, according to physical principles, the peeling energy consumption can be expressed as the integral of the tension and displacement: ; in: : is the total energy in the peeling section (unit: Joule J); : is the functional relationship between tension and displacement; : is the starting displacement of the section; : is the end displacement of the section.

[0041] Since the actual collected data is discrete, numerical integration is used for approximate calculation. The formula can be expanded using the trapezoidal method as follows: ; in: : is the average value of two adjacent tension values; : is the displacement increment between these two time points; : Indicates the sum of all adjacent point pairs; index upper bound Indicates that the last iteration is for Point and Calculations are performed between points; :Indicates the A sampling point after a sampling point, that is, The next adjacent data point.

[0042] Suppose the sequence of sampling points in a certain stripping section is as follows: Displacement sequence (meters): , , , , . Tension series (Newtons): , , , , .

[0043] The segment energy calculation process is as follows: The first interval ( ): ; The second interval ( ): ; The third interval ( ): ; The fourth interval ( ): .

[0044] Summing up the energy of all intervals, we get: This result represents the actual total energy consumption of the stripping section. The data is derived from the original sampling results, and the true measurement of the work performed during the entire stripping process is achieved by integrating the force and displacement sequences within a micro-displacement unit. Compared to the previous simplified method of multiplying the difference between the maximum and minimum forces by the total displacement, this method avoids the impact of force fluctuations on calculation accuracy and more accurately depicts the energy consumption behavior during the stripping process.

[0045] S512: Arranging each data point in the stripping order according to the energy distribution data set of the stripping section and connecting them to generate a continuous change curve, identifying the slope trend difference of the continuous change curve at a local position, and obtaining a slope change trend sequence of the stripping process; First, all energy data points are sorted in order of stripping time, and the energy values ​​of each stripping section are arranged in sequence to form an energy evolution sequence during the stripping process. Then, adjacent data points in the sequence are linearly connected to form a continuous curve reflecting the change of energy consumption per unit section over time during the stripping process. On this basis, the sliding window method is used to perform local derivative approximation processing on the curve to extract its local slope change information. The specific operation is: set the window width with a fixed data step size, select three consecutive energy points each time, record them as the front point, middle point and back point respectively, and use the ratio of the energy difference on both sides of the midpoint position to its time interval as the slope estimate of the current window, that is, quantify the energy change trend of the middle stripping section, repeat this process to traverse all overlapping window positions, generate a set of slope data sequences corresponding to equally spaced sampling points, and form a trend distribution sequence representing the speed of stripping energy change. For example, for the energy distribution point , with a window width of 3, the local slopes are calculated at the second point: , point 3 position: ,in It represents the time interval between two consecutive sampling points in seconds. Similarly, the energy growth or decay trend intensity corresponding to each small segment in the stripping process is obtained, and then all slope values ​​are combined to form the slope change trend sequence of the stripping process.

[0046] S513: Based on the slope change trend sequence of the peeling process, determine whether the slope change amplitude between adjacent sections exceeds the stage division reference value, and divide the corresponding stages according to the slope change pattern to obtain the tape interface fracture identification result; According to the slope change trend sequence of the peeling process, the difference between two adjacent slope values ​​is analyzed in turn, and it is determined whether the change amplitude exceeds the preset stage division reference value. The reference value is set according to the standard deviation of the actual data or the mean of the change rate, and is usually set to 1.2 times the standard deviation in the slope sequence of the entire peeling process. It represents the threshold for identifying drastic changes in continuous slopes. If the difference between adjacent slope points is greater than the reference value, it is marked as a significant transition point in the peeling state. The entire peeling process is divided into several segments based on these transition points. Each segment corresponds to a peeling stage, which means that the energy consumption mode or crack propagation characteristics of the tape in this stage remain relatively stable. For example, suppose a slope sequence is {0.0012, 0.0014, 0.0028, 0.0009, 0.0010}, and the change differences are 0.0002, 0.0014, 0.0019, and 0.0001, respectively. If the benchmark value is set to 0.0015, the difference between the third and second items is 0.0014, which does not exceed the threshold. The difference between the fourth and third items is 0.0019, which exceeds the benchmark value and is marked as a turning point. The entire process is divided into three stages, corresponding to the initial peeling, crack growth, and stable advancement stages, and finally the index results of each segment are returned as the basis for interface identification of peeling fracture.

[0047] An automated tape peeling force testing system is provided. The automated tape peeling force testing system is used to perform the automated tape peeling force testing method described above. The system comprises: The reversal identification module obtains the stress vector change sequence during the tape peeling process by setting the stress sampling interval, identifies the stress direction reversal behavior in the sequence, and constructs a sorted tape stress direction reversal point set; The density extraction module obtains the stripping energy consumption sequence corresponding to the time index of each reversal point in the sorted tape stress direction reversal point set, calculates the energy consumption reversal density of the stripping energy consumption sequence at a specified time, and constructs a tape stripping energy consumption reversal density set; The section identification module determines the abnormal stripping section with potential force deviation during the tape stripping process based on the tape stripping energy consumption reversal density set, and obtains the tape deviation interval identification set; The tension reconstruction module obtains the tape offset interval identification set and the peeling tension measurement value change sequence collected synchronously throughout the entire process, and performs local tension data reconstruction processing according to the corresponding time period in the sequence to obtain the tape peeling reconstructed tension data; The fracture judgment module reconstructs the tensile data based on the tape peeling process, calculates the tensile amplitude and the corresponding displacement increment during the tape peeling process, constructs the energy consumption distribution trajectory during the tape peeling process, and divides the process into stages to obtain the tape interface fracture identification result.

[0048] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for automatically testing the peeling force of an adhesive tape, characterized in that: The following steps are involved: S1: By setting the stress sampling interval, the stress vector change sequence during the tape peeling process is obtained, the stress direction reversal behavior in the sequence is identified, and the sorted tape stress direction reversal point set is constructed; S2: obtaining a stripping energy consumption sequence corresponding to a stripping position with a time index of each reversal point in the sorted tape stress direction reversal point set, calculating the energy consumption reversal density of the stripping energy consumption sequence at a specified time, and constructing a tape stripping energy consumption reversal density set; S3: determining, based on the tape stripping energy consumption reversal density set, an abnormal stripping section with potential force value deviation during the tape stripping process, and obtaining a tape deviation interval identifier set; S4: obtaining the tape offset interval identifier set and the peeling tension measurement value change sequence collected synchronously during the entire process, and performing local tension data reconstruction processing according to the corresponding time period in the sequence to obtain tape peeling reconstructed tension data; S5: Based on the tape peeling reconstructed tensile force data, the tensile force amplitude and the corresponding displacement increment during the tape peeling process are calculated to construct the energy consumption distribution trajectory during the tape peeling process and divide the process into stages to obtain the tape interface fracture identification result.

2. The automated test method for tape peeling force according to claim 1, wherein: The sorted tape stress direction reversal point set specifically includes the reversal time index, reversal position index, and direction change angle; the tape stripping energy consumption reversal density set includes the energy consumption difference per unit time, the reversal frequency normalization value, and the reversal density estimation value; the tape offset interval identifier set specifically includes the offset start time, the offset end time, and the offset segment number; the tape stripping reconstructed tensile force data includes the corrected tensile force value sequence, the fitting deviation rate, and the reconstructed effective segment number; the tape interface fracture identification result includes the adhesion segment, the energy consumption sudden increase segment, and the instability segment.

3. The automated test method for tape peeling force according to claim 1, wherein: The steps for obtaining the sorted tape stress direction reversal point set are specifically as follows: S111: Using a triaxial stress sensor to collect a stress direction vector sequence at a peeling point during the tape peeling process, constructing the collected data into a continuous three-dimensional stress vector sequence based on a set time step, and generating a tape stress angle change value; S112: Based on the change value of the tape stress angle, determine whether the angle between adjacent data points is greater than an angle threshold, mark them as reversed according to the time index, and record the corresponding peeling path position to generate a tape direction reversal mark point set; S113: extracting paired data of all time indexes and peeling path position indexes from the tape direction reversal mark point set and arranging them in chronological order to establish a sorted tape stress direction reversal point set.

4. The automated test method for tape peeling force according to claim 3, wherein: The specific steps for obtaining the tape stripping energy consumption inversion density set are: S211: calling the sorted tape stress direction reversal point set and the synchronously acquired peeling energy consumption sequence, extracting the energy consumption values ​​in a fixed interval before and after each reversal point according to the time index, and calculating the energy consumption difference between adjacent time points to generate a reversal point energy consumption difference sequence; S212: Based on the energy consumption difference sequence of the reversal points, accumulate the energy consumption difference in each time segment, and normalize it according to the reversal frequency to obtain the normalized energy consumption density at the specified time; S213: Constructing a time-density correspondence relationship based on the normalized energy consumption density of the designated time, inputting a Poisson regression model to calculate the predicted density of each time segment, and generating a tape stripping energy consumption inversion density set.

5. The automated test method for adhesive tape peeling force according to claim 4, wherein: The steps for obtaining the tape offset interval identification set are specifically as follows: S311: Divide the tape stripping energy consumption reversal density set into equally spaced continuous segments in chronological order, detect whether the density value in each segment continuously increases, and extract segments whose density value growth trend is greater than the average growth amount of adjacent segments to generate a continuous growth segment sequence; S312: According to the sequence of continuously growing segments, a density change control limit threshold is set, and the density change of each segment is compared to determine whether there are multiple consecutive segments whose growth exceeds the change control limit threshold, and a set of numbers of segments exceeding the limit growth is obtained; S313: Extracting the corresponding time index range according to the over-growth segment number set and marking it as a potential force value offset segment, summarizing the segment start and end times according to the segment number, and establishing a tape offset interval identification set.

6. The automated test method for tape peeling force according to claim 5, characterized in that: The specific steps for obtaining the tape peeling and reconstructing tensile force data are as follows: S411: calling the tape offset interval identifier set and the peeling tension measurement sequence collected synchronously during the whole process, extracting the tension change within the time index range corresponding to each offset interval, and obtaining the offset section tension measurement sequence; S412: Calculating first-order differences of adjacent data points based on the offset section tension measurement sequence and setting a deviation change rate threshold, screening data points whose change rates are greater than the deviation change rate threshold as points requiring correction, and obtaining a screened deviation tension data point set; S413: Based on the time index corresponding to the filtered deviation tension data point set, interpolation fitting is performed and the value of the abnormal data point is replaced, and the tension value sequence of each section is reconstructed and merged into the full-process data to generate tape stripping reconstructed tension data.

7. The automated test method for tape peeling force according to claim 6, wherein: The steps for obtaining the tape interface fracture identification result are specifically as follows: S511: extracting the tension amplitude and corresponding displacement change values ​​between adjacent tension extreme points based on the tape stripping reconstructed tension data and the synchronously acquired stripping displacement data, to obtain a stripping section energy distribution data set; S512: Arranging each data point in the stripping sequence according to the stripping section energy distribution data set and connecting them to generate a continuous change curve, identifying the slope trend difference of the continuous change curve at a local position, and obtaining a slope change trend sequence of the stripping process; S513: According to the slope change trend sequence of the peeling process, determine whether the slope change amplitude between adjacent sections exceeds the stage division reference value, and divide the corresponding stages according to the slope change pattern to obtain the tape interface fracture identification result.

8. An automated testing system for adhesive tape peeling force, characterized in that: The automated tape peel force testing method according to any one of claims 1 to 7, wherein the system comprises: The reversal identification module obtains the stress vector change sequence during the tape peeling process by setting the stress sampling interval, identifies the stress direction reversal behavior in the sequence, and constructs a sorted tape stress direction reversal point set; The density extraction module obtains a stripping energy consumption sequence corresponding to a stripping position with a time index of each reversal point in the sorted tape stress direction reversal point set, calculates the energy consumption reversal density of the stripping energy consumption sequence at a specified time, and constructs a tape stripping energy consumption reversal density set; The section identification module determines, based on the tape stripping energy consumption reversal density set, an abnormal stripping section with potential force value deviation during the tape stripping process, and obtains a tape deviation interval identification set; The tension reconstruction module obtains the tape offset interval identifier set and the peeling tension measurement value change sequence collected synchronously throughout the entire process, and performs local tension data reconstruction processing according to the corresponding time period in the sequence to obtain tape peeling reconstructed tension data; The fracture judgment module reconstructs the tensile force data based on the tape peeling, calculates the tensile force amplitude and the corresponding displacement increment during the tape peeling process, constructs the energy consumption distribution trajectory during the tape peeling process, and divides the process into stages to obtain the tape interface fracture identification result.

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