Method and device for testing dry and wet wear resistance of textile

Abstract

The invention discloses a method and a device for testing dry and wet wear resistance of a textile. A method and device for testing dry and wet wear resistance of a textile belong to the technical field of material testing, and the method comprises the following steps: adjusting a test environment to a dry state, and recording initial state data of a textile sample; infiltrating the plurality of groups of textile samples to different degrees, and recording initial infiltrating state data of the textile samples; the stress condition in actual use is simulated; respectively performing reciprocating friction of the same operation on the surfaces of the dry textile sample and the wet textile sample, and recording the friction frequency and the abrasion condition; performing data preprocessing on the initial state data, the initial infiltration state data and the test result to obtain preprocessed data; and establishing a mathematical model according to the preprocessed data to analyze the dry-wet wear resistance. By testing the wear resistance in the dry and wet states, the dry and wet properties of the textile product can be measured in multiple aspects, and the problem of incomplete testing in the prior art is solved.

Description

[0001] The present invention is a divisional application of 2024108691853, a method and device for testing the dry and wet wear resistance of textile products. Technical Field

[0002] The invention relates to the technical field of material testing, and in particular to a method and a device for testing the dry and wet wear resistance of textiles. Background Art

[0003] With the diversification and complexity of textile application scenarios, the traditional dry wear resistance testing method can no longer fully meet the actual needs. The existing wear resistance testing equipment is mainly designed for dry friction and lacks effective testing methods for wet friction, resulting in a large deviation between the test results and actual usage.

[0004] The existing dry and wet abrasion resistance test method for textiles uses flat grinding, curved grinding, folded edge grinding and composite grinding to rub the sample along a geometric trajectory. The figure starts as a straight line, then becomes wider and wider and forms an ellipse, then narrows again, and finally forms a straight line in the opposite direction of the original straight line. The sample is repeatedly rubbed along the above trajectory until the specified number of circles is reached before evaluation.

[0005] For example, the invention patent with announcement number: CN106198285B announces a method for evaluating the wear resistance of a fog sealing layer material, comprising: wrapping a fog sealing layer material on a stone, and obtaining a test sample after drying, wherein the stone not wrapped with the fog sealing layer material is a blank sample; fixing the test sample and the blank sample on the bottom plate of a load wheel tester, setting the number of wear test pieces after selecting the load, and performing a wear test at 25-40°C to obtain a test piece after the wear test; immersing the test piece after the wear test in a phenol safranin solution with an initial concentration of c1, taking the solution after immersion and determining the absorbance value with a spectrophotometer, and obtaining the dye concentration c2 of the test sample and the dye concentration c20 of the blank sample by Beer's law.

[0006] For example, the invention patent with announcement number: CN109406325B discloses a method for testing the wear resistance of a detonator leg wire, comprising: applying a certain load to the detonator leg wire under test on a detonator leg wire wear resistance testing device, and causing it to move at a certain speed on the wear surface, simulating the wear force on the detonator leg wire under test, measuring the time it takes for its insulating layer to be worn through, and evaluating the wear resistance of the leg wire based on the time it takes to be worn through. The structure of the detonator leg wire wear resistance testing device is also disclosed.

[0007] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0008] In the prior art, the wear resistance of textile products is tested in a dry environment or at room temperature, with a small number of frictions and test factors, resulting in an incomplete test. Summary of the invention

[0009] The embodiment of the present application solves the problem of incomplete testing in the prior art by providing a method and device for testing the dry and wet wear resistance of textiles, and realizes the multi-faceted measurement of the wet and dry properties of textile products. The embodiment of the present application provides a method for testing the dry and wet wear resistance of textiles, comprising the following steps: A method for testing the dry and wet wear resistance of textiles, characterized in that it comprises the following steps: adjusting the test environment to a dry state, recording the initial state data of the textile samples; performing different degrees of infiltration treatment on multiple groups of textile samples, and recording the initial infiltration state data of the textile samples; starting the pressure device to apply pressure to the textile samples to simulate the force conditions in actual use; starting the friction head, performing the same reciprocating friction operation on the surfaces of the dry textile samples and the wet textile samples, respectively, recording the number of frictions and the wear conditions, and outputting the recorded number of frictions and the wear conditions as the test results; performing data preprocessing on the initial state data, the initial infiltration state data and the test results to obtain preprocessed data; establishing a mathematical model based on the preprocessed data to analyze the dry and wet wear resistance, and the formula of the mathematical model is as follows:

[0010]

[0011] In the formula, φ represents dry and wet wear resistance, B represents the density of the textile sample, μ represents the roughness of the friction surface, P represents the pressure applied to the textile, E represents the environmental factor, D represents the number of frictions, and e represents the natural constant.

[0012] Furthermore, the step of adjusting the test environment to a dry state and recording the initial state data of the textile sample includes: adjusting the test environment to a dry state using a dehumidifier; photographing and observing the textile sample using a camera or a microscope, and recording the initial state data of the textile sample in a dry state; recording the temperature, humidity, and airflow parameters during the test; and using the initial state data, temperature, humidity, and airflow parameters of the textile as the baseline state data of the textile sample.

[0013] Furthermore, the steps of performing different degrees of infiltration treatment on multiple groups of textile samples and recording the initial infiltration state data of the textile samples include: obtaining the type of infiltration treatment method according to the characteristics of the textile samples; adjusting different infiltration humidity settings according to the infiltration treatment method; during the infiltration treatment process, recording the concentration of the infiltration liquid, the infiltration time and the surface state information of the textile samples; and recording the appearance characteristics of the textile samples after infiltration.

[0014] Furthermore, the step of simulating the stress conditions in actual use includes: setting the working parameters of the pressure device; using a pressure sensor to monitor the pressure applied to the textile sample in real time; recording the size and duration of the pressure at each time point; and recording the appearance characteristics of the textile sample after being subjected to pressure.

[0015] Furthermore, the steps of starting the friction head, performing the same reciprocating friction on the surface of the dry textile sample and the wet textile sample, and recording the number of frictions and the wear conditions are as follows: setting the friction force and reciprocating speed parameters of the friction head; recording the movement of the friction head and the surface changes of the dry textile sample; and recording the friction time and number of frictions. Repeating the setting of the friction force and reciprocating speed parameters of the friction head to perform multiple measurements and record the movement of the friction head, the surface changes of the dry textile sample, the friction time, the number of frictions and the wear conditions; and recording the appearance characteristics of the textile sample after friction.

[0016] Furthermore, the steps of data preprocessing for the test data are: using a Gaussian filter to clean the test data and remove noise interference; identifying and eliminating outliers in the test data through an outlier detection algorithm; extracting friction number characteristic parameters from the test data and normalizing the extracted characteristic parameters; marking the dry and wet states of the test data.

[0017] Furthermore, the analysis method of dry and wet wear resistance is: obtain historical test data and preprocess it; input the preprocessed historical test data into a mathematical model to obtain wear resistance; use the preprocessed historical test data as a feature set and the wear resistance as a target value set; divide the feature set and the target value set into a training set and a test set; input the training set of the feature set and the target value set into an SVM model for training; use the test set to test the SVM model to obtain an SVM wear resistance test model; use the SVM wear resistance test model to test the wear resistance of the preprocessed test data.

[0018] Furthermore, the calculation formula of the environmental factor is:

[0019]

[0020] In the formula, H represents the current humidity, H min Indicates the minimum humidity, H max represents the maximum humidity, T represents the current temperature, and T min Indicates the minimum temperature, T max Indicates the maximum temperature, V indicates the current wind speed, V0 indicates the wind speed reference value, β1 indicates the weight coefficient of humidity in environmental factors, β2 indicates the weight coefficient of temperature in environmental factors, and β3 indicates the weight coefficient of wind speed in environmental factors.

[0021] The embodiment of the present application provides a textile dry and wet wear resistance testing device, comprising: an air-drying device module, an infiltration device module, a pressure device module, a friction device module, a pretreatment module and a mathematical modeling module; the air-drying device module adjusts the test environment to a dry state and records the initial state data of the textile sample; the infiltration device module performs infiltration treatments of different degrees on multiple groups of textile samples and records the initial infiltration state data of the textile samples; the pressure device module is used to start the pressure device to apply pressure to the textile sample to simulate the force conditions in actual use; the friction device module is used to start the friction head to perform reciprocating friction of the same operation on the surface of the dry textile sample and the wet textile sample, respectively, record the number of frictions and the wear conditions, and output the recorded number of frictions and the wear conditions as the test results; the pretreatment module is used to perform data pretreatment on the initial state data, the initial infiltration state data and the test results to obtain preprocessed data; the mathematical modeling module is used to establish a mathematical model.

[0022] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0023] 1. By adopting high-precision pressure sensors and humidity control systems, the test environment can be monitored in real time and accurately adjusted under dry and wet conditions, and the pressure application and wetting treatment of textile samples, as well as the reciprocating friction of the friction head in dry and wet states, can be automatically completed, reducing human operation errors and effectively solving the problem of inaccurate testing in the prior art.

[0024] 2. Through precise mechanical analysis and material science principles, the dry and wet states of textiles in real use environments are simulated, and their wear resistance is measured, thereby achieving a comprehensive evaluation of the wear resistance of textiles and providing strong technical support for the research and development, production and quality control of textiles.

[0025] 3. By setting the friction force and reciprocating speed parameters of the friction head, the friction times and wear conditions of the textile samples can be accurately recorded under both dry and wet conditions, thereby achieving comprehensive testing and data preprocessing of dry and wet wear resistance, effectively improving the accuracy and consistency of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flow chart of a method for testing dry and wet abrasion resistance of textiles provided in an embodiment of the present application;

[0027] Figure 2 An example diagram of wear resistance provided in an embodiment of the present application;

[0028] Figure 3 A structural diagram of a textile dry and wet wear resistance testing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The embodiments of the present application solve the problem of incomplete testing in the prior art by providing a method and device for testing the dry and wet wear resistance of textiles. By testing the wear resistance in both dry and wet states, multi-faceted measurement of the dry and wet properties of textile products is achieved.

[0030] The technical solution in the embodiments of the present application is to solve the problem of incomplete testing mentioned above, and the overall idea is as follows: prepare test samples and test devices; adjust the test environment to a dry state, and record the initial state data of the textile samples; perform different degrees of infiltration treatment on multiple groups of textile samples, and record the initial infiltration state data of the textile samples; start the pressure device to apply pressure to the textile samples to simulate the force conditions in actual use; start the friction head to perform the same reciprocating friction operation on the surfaces of dry textile samples and wet textile samples respectively; record the number of frictions and wear conditions; perform data preprocessing on the test data; and establish mathematical modeling to analyze dry and wet wear resistance.

[0031] By testing the wear resistance in both dry and wet states, we can measure the wet and dry properties of textile products in many aspects.

[0032] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] like Figure 1 As shown, it is a flow chart of a method for testing the dry and wet wear resistance of textiles provided in an embodiment of the present application. The method is applied to a device for testing the dry and wet wear resistance of textiles, and the method includes the following steps: adjusting the test environment to a dry state and recording the initial state data of the textile samples; performing different degrees of infiltration treatment on multiple groups of textile samples and recording the initial infiltration state data of the textile samples; starting the pressure device to apply pressure to the textile samples to simulate the force conditions in actual use; starting the friction head to perform the same reciprocating friction operation on the surfaces of the dry textile samples and the wet textile samples, respectively, recording the number of frictions and the wear conditions, and outputting the recorded number of frictions and the wear conditions as the test results; performing data preprocessing on the initial state data, the initial infiltration state data and the test results to obtain preprocessed data; and establishing a mathematical model based on the preprocessed data to analyze the dry and wet wear resistance.

[0034] In this embodiment, adjusting the test environment to a dry state is to control the humidity of the test environment to 0-30%. Infiltration treatment method: Infiltration treatment can be carried out in a variety of ways, such as soaking and spraying. The degree of infiltration can be achieved by controlling the infiltration time and the concentration of the infiltration liquid. Pressure device and friction head: The selection and design of the pressure device and the friction head can simulate the stress conditions and friction methods in actual use. The pressure device should be able to provide stable and adjustable pressure, and the friction head should have a suitable hardness and shape to ensure the accuracy of the test. Test data recording: During the test, the initial state data, infiltration state data, friction times and wear conditions of the textile sample are recorded in detail to facilitate subsequent data processing and analysis. Mathematical modeling analysis: Through mathematical modeling analysis, a more accurate solution can be provided for the research and development and production of textiles. By controlling the test environment and infiltration treatment conditions, and simulating the stress conditions and friction methods in actual use, the accuracy of the test can be greatly improved, thereby more accurately evaluating the wear resistance of textiles and improving the accuracy of the test. Through the processing and analysis of test data, the inherent laws and influencing factors of the dry and wet wear resistance of textiles can be revealed, providing a scientific basis and guidance for the research and development and production of textiles. By optimizing the structure and material selection of textiles, as well as improving the production process and flow, the wear resistance of textiles can be improved, thereby extending the service life of textiles, improving product quality and competitiveness, and improving product quality. Wear resistance is used to indicate the wear resistance of textile samples. In addition to the above methods, wear resistance φ can also be obtained by consulting the experimental data of experts; the density of textile samples can be obtained by calculating the ratio of mass to volume of textiles, and can also be obtained by looking up the molecular density corresponding to the chemical type of textile samples; the roughness of the friction surface can be obtained by experiments, and can also be obtained by observation; the pressure applied to the textile can be measured by a pressure sensor, and can also be measured by a pressure sensor to measure the pressure generated by the pressure per unit area, and then calculated using the formula pressure equals pressure multiplied by area.

[0035] Furthermore, the test environment is adjusted to a dry state, and the steps of recording the initial state data of the textile samples include: using a dehumidifier to adjust the test environment to a dry state; using a camera and a microscope to photograph and observe the textile samples, and recording the initial state data of the textile samples in a dry state; recording the temperature, humidity, and airflow parameters during the test; and using the initial state data, temperature, humidity, and airflow parameters of the textile as the baseline state data of the textile samples.

[0036] In this embodiment, the purpose of recording the temperature, humidity and airflow parameters during the test is to ensure the consistency and stability of the environmental conditions during the subsequent test. Use a professional dehumidifier to adjust the test environment to a dry state, so that the test environment is within a predetermined humidity range to simulate the use state of the textile under dry conditions. The textile sample is photographed and observed by a camera and a microscope, and its initial state data in a dry state is recorded. These data include the texture, color and fiber structure of the textile, so that the subsequent state after infiltration can be compared. At the same time, the temperature, humidity and airflow parameters during the test need to be recorded. These parameters are crucial to maintaining the consistency and stability of the test environment to ensure the accuracy and reliability of the test results. Through the above steps, a reference state of the textile sample in a dry state is established. This reference state is used as a reference for subsequent infiltration treatment and wear resistance test, which helps to more accurately evaluate the dry and wet wear resistance of the textile. Through professional dehumidifiers and environmental parameter recording, the consistency and stability of the test environment are ensured, thereby improving the accuracy of the test. Establishing the reference state of the textile sample is convenient for subsequent comparative analysis with the state after infiltration, and more accurately evaluating the dry and wet wear resistance of the textile. The reliability and persuasiveness of the test data are enhanced through detailed initial state records and environmental parameter records. The accurate test methods and data analysis guide the production process of textiles and improve product quality and competitiveness.

[0037] Furthermore, multiple groups of textile samples are subjected to infiltration treatments of different degrees, and the steps of recording the initial infiltration state data of the textile samples include: obtaining the type of infiltration treatment method according to the characteristics of the textile samples; adjusting different infiltration humidity settings according to the infiltration treatment method; during the infiltration treatment process, recording the concentration of the infiltration liquid, the infiltration time and the surface state information of the textile samples; and recording the appearance characteristics of the textile samples after infiltration.

[0038] In this embodiment, selection of the infiltration treatment method: an appropriate infiltration treatment method is selected according to the material, structure, and use characteristics of the textile sample. For example, for textiles with strong water absorption, the immersion method is adopted; for textiles with high density and weak water absorption, the spraying method is adopted. Adjustment of the infiltration settings: Through the infiltration settings, such as the control parameters of the infiltration equipment, different humidity levels are adjusted to simulate the use of textiles under different humidity conditions, so as to better evaluate their dry and wet wear resistance. Recording of infiltration process data: During the infiltration treatment process, the concentration of the infiltration liquid, the infiltration time, and the surface state of the textile sample and other related information are recorded in detail. Recording of appearance characteristics after infiltration: After the infiltration treatment is completed, the appearance characteristics of the textile sample such as color, gloss, and texture are recorded.

[0039] Furthermore, the steps of simulating the stress conditions in actual use include: setting the working parameters of the pressure device; using a pressure sensor to monitor the pressure applied to the textile sample in real time; recording the size and duration of the pressure at each time point; and recording the appearance characteristics of the textile sample after being subjected to pressure.

[0040] In this embodiment, the working parameters of the pressure device are set. When simulating the stress condition, it is first necessary to set the working parameters of the pressure device according to the characteristics of the textile sample and the actual use. The parameters include the pressure size, the speed of application, the frequency of application, and the uniformity of the pressure distribution. A pressure sensor is used to monitor the pressure applied to the textile sample in real time. In order to ensure the accuracy of the test, a high-precision pressure sensor is needed to monitor the pressure applied to the textile sample in real time. The pressure sensor can feedback the pressure size, distribution, and pressure change information in real time. At the same time, through real-time monitoring, problems that may arise during the test can be discovered and solved in time to ensure the smooth progress of the test. Record the size and duration of the pressure at each time point During the test, record the size and duration of the pressure at each time point. By comparing the pressure data at different time points, the performance of the textile sample under different stress conditions can be understood, so as to more comprehensively evaluate its wear resistance. Record the appearance characteristics of the textile sample, which include the degree of wear, fuzzing, and cracks. By comparing the changes in appearance characteristics before and after the test, the wear resistance of the textile sample can be intuitively understood.

[0041] Furthermore, the friction head is started, and the same reciprocating friction is performed on the surface of the dry textile sample and the wet textile sample, respectively, and the steps of recording the number of frictions and the wear conditions are as follows: setting the friction force and reciprocating speed parameters of the friction head; recording the movement of the friction head and the surface changes of the dry textile sample; recording the friction time and the number of frictions. Repeating the setting of the friction force and reciprocating speed parameters of the friction head for multiple measurements and recording the movement of the friction head, the surface changes of the dry textile sample, the friction time, the number of frictions and the wear conditions; recording the appearance characteristics of the textile sample after friction.

[0042] In this embodiment, the position and parameters of the friction head are adjusted. Before starting the test, the position and parameters of the friction head need to be adjusted according to the size of the textile sample and the test requirements. Including determining the contact point between the friction head and the textile sample, adjusting the angle and height of the friction head. Avoid errors during the test. Set the friction force of the friction head, the reciprocating speed parameters, and the friction force. Record the movement of the friction head and the surface changes of the dry textile sample. During the test, the movement of the friction head is recorded in real time, including the movement trajectory and speed. At the same time, observe and record the surface changes of the dry textile sample, such as the degree of wear and fuzzing. Record the friction time, the number of frictions, and the occurrence and handling process of any abnormal situation. During the test, record the friction time and the number of frictions. At the same time, record the occurrence and handling process of any abnormal situation. These abnormal situations include friction head jamming, textile sample damage, etc. Repeat the above steps and perform the same operation and record on the wet textile sample. After completing the test of the dry textile sample, it is necessary to perform a reciprocating friction test on the wet textile sample according to the same steps and parameter settings. Record the friction of textile samples in a wet state, surface changes, and the occurrence and handling process of any abnormal conditions.

[0043] Furthermore, the steps of data preprocessing for the test data are as follows: using a Gaussian filter to clean the test data and remove noise interference; identifying and eliminating outliers in the test data through an outlier detection algorithm; extracting friction number characteristic parameters from the test data and normalizing the extracted characteristic parameters; marking the dry and wet states of the test data.

[0044] In this embodiment, the parameters of the Gaussian filter and the smoothness of the filter are determined. The Gaussian filter performs data cleaning: the test data is input into the Gaussian filter, and the Gaussian filter smoothes the test data according to the set parameters, removes noise, and outputs the cleaned test data. The outlier detection algorithm removes outliers, including the following steps: selecting a suitable outlier detection algorithm such as the Z-score method; inputting the test data into the outlier detection algorithm; the algorithm identifies outliers according to the distribution characteristics of the data; and removes the identified outliers from the test data. Feature parameter extraction and normalization processing: extract characteristic parameters related to the friction process from the test data, such as the number of frictions, and for each characteristic parameter, calculate its maximum and minimum values. Use a normalization formula such as the Min-Max normalization formula to normalize each characteristic parameter and scale its value to between 0 and 1. Wet and dry state marking: create a new feature column for each data point in the test data set. Fill the new feature column with corresponding values ​​(such as 0 for dry and 1 for wet) according to the dry and wet state of the textile sample during the test.

[0045] Furthermore, the analysis method of dry and wet wear resistance is: obtain historical test data and preprocess it; input the preprocessed historical test data into a mathematical model to obtain wear resistance; use the preprocessed historical test data as a feature set, and use wear resistance as a target value set; divide the feature set and the target value set into a training set and a test set; input the training set of the feature set and the target value set into an SVM model for training, the Chinese interpretation of SVM is Support Vector Machine algorithm model, and the full name of SVM is Support Vector Machi nes; use the test set to test the SVM model to obtain the SVM wear resistance test model; use the SVM wear resistance test model to test the wear resistance of the preprocessed test data.

[0046] In this embodiment, the support vector machine (SVM) algorithm is used to establish a mathematical model. Data preparation: The preprocessed data set is divided into a feature set X (including wear resistance classification, number of frictions, roughness of the friction surface, pressure applied to the textile, and environmental factors) and a target value set y wear resistance. Select kernel function: Select Gaussian radial basis function (RBF) as the kernel function because it has good applicability to a variety of data sets. Model training: Use the feature set X and target value set y of the training set as input to train the SVM model. Model evaluation: Use the test set to verify the trained SVM model. In addition, the trained SVM wear resistance test model can also be evaluated. The evaluation indicators include accuracy, precision, recall, etc. These indicators can fully reflect the performance of the model. According to the evaluation results, the model is adjusted and optimized to improve the prediction accuracy. The wear resistance example table is shown in Table 1:

[0047] Table 1 Wear resistance example table

[0048]

[0049] like Figure 2 The following is an example of wear resistance. Figure 2 It can be seen that the wear resistance φ increases with the density of the textile sample, the roughness of the friction surface, and the pressure applied to the textile, and decreases with the increase of environmental factors and the number of frictions. It can be seen that the wear resistance φ can comprehensively reflect the wear resistance of textile products under different influencing factors. And according to the number of frictions and the wear resistance requirements of Chinese textile products, it is divided into low wear resistance, medium-low wear resistance, medium wear resistance, medium-high wear resistance, and high wear resistance.

[0050] Among them, wear resistance can also be estimated by obtaining the wear resistance data of placed objects of the same material and taking the average value. The density of the textile sample can be obtained by measuring the mass and volume of the textile sample and using the formula "density = mass / volume". It can also be obtained by directly measuring the density of the textile through a professional densitometer or measuring equipment. The roughness of the friction surface can be obtained by measuring the roughness of the friction surface with a surface roughness measuring instrument. It can also be obtained by observing, touching or using comparison samples to evaluate the roughness of the surface. The pressure applied to the textile can be obtained by measuring the pressure applied to the textile using a pressure gauge or a dynamometer. It can also be obtained by estimating the pressure applied to the textile through experimental calculation or simulation. Environmental factors can be obtained by modeling temperature, humidity, and chemical corrosion data, and can also be estimated through empirical formulas. The number of frictions can be obtained by counting or recording the number of frictions, and can also be obtained by using sensors or automatic recording systems to accurately record the number of frictions.

[0051] Furthermore, the calculation formula of environmental factors is:

[0052]

[0053] In the formula, H represents the current humidity, H min Indicates the minimum humidity, H max represents the maximum humidity, T represents the current temperature, and T min Indicates the minimum temperature, T max Indicates the maximum temperature, V indicates the current wind speed, V0 indicates the wind speed reference value, β1 indicates the weight coefficient of humidity in environmental factors, β2 indicates the weight coefficient of temperature in environmental factors, and β3 indicates the weight coefficient of wind speed in environmental factors.

[0054] In this embodiment, the environmental factor E is used to indicate the degree of influence of environmental factors on the wear resistance test of textiles. The environmental factor E includes temperature, humidity and wind speed, wherein temperature, humidity and wind speed are manually set by the user in the experiment and can be directly read. The humidity H can be measured by a hygrometer or estimated by averaging historical data. min Indicates the minimum value of all measured data, which can be directly obtained, H max It represents the maximum value of all measured data and can be directly obtained. T can be obtained by measuring with a thermometer or by estimating the average value of historical data. min Indicates the minimum temperature value among all measured data, which can be directly obtained, T maxIt represents the maximum temperature among all the measured data, which can be obtained directly. V can be obtained through anemometer measurement, and can also be estimated by averaging historical data. V0 is a fixed standard value obtained by consulting materials. β1 can be obtained through experimental data, and can also be obtained through theoretical knowledge or industry standards. β2 can be obtained through experimental data, and can also be obtained through theoretical knowledge or industry standards. β3 can be obtained through experimental data, and can also be obtained through theoretical knowledge or industry standards.

[0055] like Figure 3 As shown, it is a structural diagram of a textile dry and wet wear resistance performance testing device provided in an embodiment of the present application. The textile dry and wet wear resistance performance testing device provided in an embodiment of the present application includes: an air-drying device module, an impregnation device module, a pressure device module, a friction device module, a pretreatment module and a mathematical modeling module; the air-drying device module: adjusts the test environment to a dry state and records the initial state data of the textile sample; the impregnation device module: performs different degrees of impregnation treatment on multiple groups of textile samples and records the initial impregnation state data of the textile samples; the pressure device module: is used to start the pressure device, apply pressure to the textile sample, and simulate the force conditions in actual use; the friction device module: is used to start the friction head, perform reciprocating friction of the same operation on the surface of the dry textile sample and the wet textile sample, respectively, record the number of frictions and the wear conditions, and output the recorded number of frictions and the wear conditions as the test results; the pretreatment module: is used to perform data pretreatment on the initial state data, the initial impregnation state data and the test results to obtain the pretreatment data; the mathematical modeling module: is used to establish a mathematical modeling analysis of the dry and wet wear resistance according to the pretreatment data.

[0056] To summarize, this embodiment uses advanced sensors, control systems, mechanical analysis and material science principles to automatically complete the testing process, reduce human errors, and thus achieve accurate testing of a large number of samples in a short period of time, improve test accuracy, and solve the problem of inaccurate testing in the prior art.

[0057] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0058] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0059] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0060] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0061] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0062] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for testing the dry and wet wear resistance of textiles, characterized in that: The following steps are involved: Adjust the test environment to a dry state and record the initial state data of the textile samples; Perform different degrees of infiltration treatment on multiple groups of textile samples, and record the initial infiltration state data of the textile samples; Start the pressure device to apply pressure to the textile sample to simulate the stress conditions in actual use; The friction head is started to perform reciprocating friction on the surfaces of the dry textile sample and the wet textile sample in the same operation, and the friction times and wear conditions are recorded, and the recorded friction times and wear conditions are output as test results; The steps of starting the friction head, performing the same reciprocating friction on the surface of the dry textile sample and the wet textile sample, and recording the friction times and wear conditions are as follows: Set the friction force and reciprocating speed parameters of the friction head; Record the movement of the friction head and the surface changes of the dry textile sample; Record the time and number of frictions; Repeatedly set the friction force and reciprocating speed parameters of the friction head to perform multiple measurements and record the movement of the friction head, the surface changes of the dry textile sample, the friction time, the number of frictions and the wear; Record the appearance characteristics of textile samples after rubbing; The steps of preprocessing the test data are as follows: Use Gaussian filter to clean the test data and remove noise interference; Identify and remove outliers in test data through outlier detection algorithms; Extracting characteristic parameters of friction times from the test data and normalizing the extracted characteristic parameters; Mark the test data for dry and wet status; Performing data preprocessing on the initial state data, the initial infiltration state data and the test results to obtain preprocessed data; A mathematical model is established based on the preprocessed data to analyze the dry and wet wear resistance. The formula of the mathematical model is as follows: Where φ represents dry and wet wear resistance, B represents the density of the textile sample, μ represents the roughness of the friction surface, P represents the pressure applied to the textile, E represents the environmental factor, D represents the number of frictions, and e represents the natural constant.

2. A method for testing dry and wet abrasion resistance of textiles as claimed in claim 1, characterized in that: The step of adjusting the test environment to a dry state and recording the initial state data of the textile sample comprises: Use a dehumidifier to adjust the test environment to a dry state; Use a camera and a microscope to photograph and observe the textile samples, and record the initial state data of the textile samples in a dry state; Record temperature, humidity, and airflow parameters during the test; The initial state data, temperature, humidity and airflow parameters of the textile are used as the baseline state data of the textile samples.

3. A method for testing dry and wet abrasion resistance of textiles as claimed in claim 1, characterized in that: The step of performing different degrees of infiltration treatment on multiple groups of textile samples and recording initial infiltration state data of the textile samples comprises: According to the characteristics of the textile sample, obtain the type of impregnation treatment method; Set different infiltration humidity according to the type of infiltration treatment method; During the infiltration process, the concentration of the infiltration solution, the infiltration time and the surface state information of the textile sample are recorded; Record the appearance characteristics of the textile samples after wetting.

4. A method for testing dry and wet abrasion resistance of textiles as claimed in claim 1, characterized in that: The step of simulating the stress conditions in actual use includes: Set the pressure device working parameters; Use a pressure sensor to monitor the pressure applied to the textile sample in real time; Record the magnitude and duration of pressure at each time point; Record the appearance characteristics of the textile sample after being subjected to pressure.

5. A method for testing dry and wet abrasion resistance of textiles as claimed in claim 1, characterized in that: The analysis method of the dry and wet wear resistance is: Obtain historical test data and preprocess it; The pre-processed historical test data is input into the mathematical model to obtain the wear resistance; The preprocessed historical test data is used as a feature set, and the wear resistance is used as a target value set; Divide the feature set and target value set into a training set and a test set; Input the training set of feature set and target value set into the SVM model for training; The SVM model is tested using the test set to obtain the SVM wear resistance test model; The wear resistance of the preprocessed test data was tested using the SVM wear resistance test model.

6. A method for testing the dry and wet wear resistance of textiles as claimed in claim 1, characterized in that: The calculation formula of the environmental factors is: In the formula, H represents the current humidity, H min Indicates the minimum humidity, H max represents the maximum humidity, T represents the current temperature, and T min Indicates the minimum temperature, T max Indicates the maximum temperature, V indicates the current wind speed, V0 indicates the wind speed reference value, β1 indicates the weight coefficient of humidity in environmental factors, β2 indicates the weight coefficient of temperature in environmental factors, and β3 indicates the weight coefficient of wind speed in environmental factors.

7. A device for applying the method for testing dry and wet abrasion resistance of textiles according to any one of claims 1 to 6, characterized in that: It includes an air drying device module, an infiltration device module, a pressure device module, a friction device module, a pretreatment module and a mathematical modeling module; The air drying device module: adjusts the test environment to a dry state and records the initial state data of the textile sample; The infiltration device module: performs infiltration treatments of different degrees on multiple groups of textile samples and records initial infiltration state data of the textile samples; The pressure device module is used to start the pressure device to apply pressure to the textile sample to simulate the stress conditions in actual use; The friction device module is used to start the friction head, perform reciprocating friction on the surfaces of the dry textile sample and the wet textile sample in the same operation, record the number of frictions and the wear conditions, and output the recorded number of frictions and the wear conditions as test results; The preprocessing module is used to perform data preprocessing on the initial state data, the initial infiltration state data and the test results to obtain preprocessed data; The mathematical modeling module is used to establish mathematical modeling and analyze dry and wet wear resistance according to preprocessed data.

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