545results about "Textile testing" patented technology

The invention discloses a light aging test instrument, which includes a test cavity, a bottom baseplate, the top cover board which is fixed on the bottom and the top of the test cavity respectively. A lamp socket which fitted with a lamp is right on the centre of the base plate, the photo permeable holes are set at the same height on the side wall of the test cavity. A visual light narrow wave band filter sheet is in the photo permeable hole, and the sample trough is fitted on the photo permeable hole. The test instrument has a compact structure, easy to disassemble and assemble, inflexible for employ, with low cost of the production.

A computer-implemented method of training a machine learning model to predict textile composition and / or other textile characteristics. For each of a plurality of textiles, at least one multi-pixel patch is acquired, the at least one patch comprising a subset of multidimensional data that is measured by spectral analysis for each of the plurality of textiles. Additionally, for each of the plurality of textiles, data is obtained that indicates a ratio of fibres included in each textile and / or obtaining data that indicates other textile characteristics. Additionally, a textile dataset is created by associating the at least one patch for each of the plurality of textiles with the respective ratio of fibres and / or the respective other textile characteristics for each of the plurality of textiles. The machine learning model is trained with the textile dataset and the trained machine learning model is stored in a storage medium.

The invention relates to the technical field of spinning quality detection, and discloses a jute spinning product quality detection method and system based on an intelligent sensor. The method comprises the following steps: acquiring real-time process parameters of a jute spinning production line, and synchronously capturing yarn surface temperature field distribution in combination with an infrared thermal imager; performing space-time alignment processing on the yarn tension fluctuation data and the temperature field distribution to generate a fused dynamic process characteristic matrix; according to the tension gradient change rate and the temperature field abnormal region coordinates in the dynamic process characteristic matrix, dividing potential occurrence sections of yarn quality defects; a microstructure image of the yarn in the potential generation section is extracted, a fiber arrangement angle deviation value is measured through a polarized light interferometer, and fiber molecular bond vibration frequency data is obtained in combination with a Raman spectrometer; and inputting the fiber arrangement angle deviation value and the molecular bond vibration frequency data into a cascade quality analysis model, and outputting a quantitative index set of the internal structure defects of the yarns.

Device for identifying structure and composition of a fabric or textile, comprising: a chamber placing over the fabric or textile, with a microscopic camera attached to the chamber, for acquiring an image of the fabric or textile, , a chamber diffused light for illuminating the fabric or textile with diffused light reflected by the chamber, a chamber grazing light, for illuminating the fabric or textile with grazing light, and a rotating mechanism to orient the microscopic camera with the fabric woven alignment; a near infrared spectrometer attached to the surface plate where the fabric is set, to capture an absorption spectrum in multiple wavelengths, ranging from 1550-1950 nm, a white reference aligned over the near infrared spectrometer to calibrate the absorption spectrum and reduce the thickness influence of the fabric; an electronic system for light control, a software for interfacing and control of the acquisition and recognition processes, by carrying out the following steps: activating the chamber diffused light and the chamber grazing light; acquiring, from the microscopic camera, the acquired image; activating the near-infrared light source, acquiring, from the near-infrared spectrometer, the absorption spectrum; and detecting the structural identification and the composition of the textile or fabric, from the acquired image and the near infrared spectrum.

The invention provides a photoelectric detection technology-based foreign fiber removing machine impurity detection method, and belongs to the field of data processing. The method comprises the following steps: obtaining a plurality of interception intervals; obtaining an abnormal factor of each interception interval according to the distribution difference of the signals to be detected in different interception intervals; clustering the to-be-detected signals in each interception interval to obtain an upper bound and a lower bound of a normal clustering cluster and a normal signal range in each interception interval; the final upper bound and the final lower bound of the normal signal range are obtained by combining the difference between the abnormal factors of each interception interval and the abnormal factors of other interception intervals; and obtaining the to-be-cleared degree of each interception interval according to the distribution of the to-be-detected signals in each interception interval. The invention aims to solve the problem that when foreign fibers are cleared through a K-means clustering algorithm, all data need to be clustered every time new data is added, so that abnormity confirmation is carried out on the new data, and the detection efficiency is too low.

The invention belongs to the technical field of textile fabric detection, and particularly relates to a textile fabric tensile strength testing device which comprises two groups of first arc-shaped clamping plates, each group of first arc-shaped clamping plates comprises two first arc-shaped clamping plates, and the first arc-shaped clamping plates are used for clamping a textile fabric; first rectangular blocks are fixedly connected to the two sides of the first arc-shaped clamping plates correspondingly, the two opposite first rectangular blocks slide on one sides of first rectangular strips correspondingly, the first rectangular strips are rotationally arranged on one sides of first supporting blocks correspondingly, rectangular plates are fixedly connected to the lower ends of the two opposite first supporting blocks, and a pipeline is arranged at the upper end between the first arc-shaped clamping plates. The device solves the problems that when the strength and the waterproof performance of the waterproof fabric are tested by adding water, the fabric is horizontally placed, water above the fabric can slide off from the side, water needs to be added to the upper portion of the fabric all the time, and impact force generated by water falling during water adding possibly affects the result of a fabric tensile test.

The invention discloses a garment fabric production and processing flaw detection device and a use method thereof, and relates to the technical field of garment fabric production and processing, the garment fabric production and processing flaw detection device comprises a workbench and a detection assembly, one side of the workbench is connected with a pressure supply assembly, the top of the workbench is provided with a self-adaptive assembly, and the detection assembly is arranged in the middle of the self-adaptive assembly; the detection assembly comprises supporting plates, a rotating plate, a driving rod, a detection cover, a guide rod, a pressing block and a sponge, the supporting plates are arranged in the center of the top of the self-adaptive assembly at equal intervals, and the rotating plate is rotationally connected to the upper ends of the supporting plates. The fan can convey external air filtered by the filter into the pressurizing cavity, at the moment, the top of the workbench is covered with the garment fabric, so that the top of the pressurizing cavity is shielded, air flow can only pass through fine gaps in the garment fabric, and when no broken yarn or hole exists in the surface of the fabric, the air flow can pass through the pressurizing cavity. The air flow penetrating through all parts of the fabric can be uniformly distributed, and the pressure of the air flow is dispersed.

The invention relates to the technical field of garment quality inspection, in particular to an intelligent detection method based on textile fabric garment production quality, which comprises the following steps: determining that the garment production quality problem type has dominant defects, or determining whether the garment has hidden defects; performing vibration detection on the clothes to capture the vibration modes of the clothes in the plurality of detection grids, and determining whether the production quality problem type is a microscopic quality problem with hidden defects or not; a microscopic quality detection strategy is adopted when the clothes have hidden defects, a potential defect area is output for visual and tactile collaborative detection, a macroscopic quality detection strategy is adopted when the clothes have dominant defects, and a detection grid corresponding to the dominant defects is output to confirm the types of the dominant defects; and determining a detection mode of the visual and tactile collaboration device according to the detection condition, and adjusting the initial height and the moving speed of the visual and tactile collaboration device. According to the invention, visual and tactile collaborative detection is carried out on the textile fabric clothes, so that the accuracy of hidden defect identification is improved.

The invention discloses an intelligent detection method and device for a cotton water miscellaneous micronaire value based on multi-source information fusion, and relates to the field of cotton quality detection.The method comprises the steps that the weight, the initial air pressure difference, the cotton sample image, the resistance value, the environment temperature and the environment humidity of a to-be-detected cotton sample are obtained; according to the initial air pressure difference and the weight, the compensated air pressure difference is determined through a weight compensation model; according to the cotton sample image, utilizing an image segmentation technology to extract the impurity area percentage and the impurity grain number of the cotton sample to be detected, and determining the impurity content of the cotton sample to be detected; according to the resistance value, the environment temperature and the environment humidity, utilizing a moisture regain prediction model to determine the moisture regain of the cotton sample to be detected; and determining the micronaire value of the cotton sample to be tested by using a Stacking ensemble learning model according to the compensated air pressure difference, impurity content and moisture regain. According to the method, the moisture regain, the impurity rate and the micronaire value of the cotton can be accurately detected in a non-standard detection environment.

The invention discloses a new material yarn quality detection system, and relates to the technical field of new material yarn detection, the new material yarn quality detection system comprises a yarn quality detection platform, the yarn quality detection platform is in communication connection with a performance data acquisition module, a defect identification module, a yarn performance detection module, a comprehensive quality evaluation module and a visual display module, the modules are in electric signal connection; and the performance data acquisition module is used for acquiring physical and mechanical performance data of the new material yarn by using an intelligent sensing system. By integrating an intelligent sensing technology, a machine learning algorithm and multi-module cooperative work, high-precision and high-efficiency detection of the new material yarn is realized, appearance defects of the yarn are concerned in the detection process, the mechanical property and environmental adaptability of the yarn are deeply evaluated, and the detection accuracy is improved. The performance of the yarn under the mechanical performance and environmental conditions can be comprehensively analyzed, the use performance of the yarn can be deeply known, and the special requirements of different fields for the yarn performance are met.

The invention belongs to the technical field of detection devices, and particularly relates to a cable surface defect detection device which comprises a conveying assembly and a detection assembly, the conveying assembly comprises a winding roller and a driving motor, the output end of the driving motor is fixedly connected with one end of the winding roller, and the conveying assembly drives the winding roller to rotate through the driving motor; and when the winding roller rotates, the cable can be wound to achieve conveying work of the cable, the detection assembly comprises a gear ring, a gear, a transmission assembly, a rotating positioning plate and a plurality of detectors, and the gear ring is fixedly installed on the outer wall of the winding roller. When the conveying assembly conveys the mooring rope, the detection assembly enables the detector to rotate around the mooring rope, the mooring rope is detected while the detector rotates, the mooring rope can be comprehensively detected, the mooring rope does not need to be detected many times, detection is convenient and comprehensive, and the detection effect of the device is guaranteed while the detection efficiency is improved.

The invention relates to the field of textile shrinkage detection, in particular to a knitted fabric shrinkage rate prediction method and system.The knitted fabric shrinkage rate prediction method comprises the steps that according to pixel points of a soaked knitted fabric, arrangement and distribution of knitted lines in the same knitted fabric area are analyzed, and the layout compactness of the knitted lines is obtained; according to the layout compactness of the knitting lines, the shrinkage degree of the fabric soaked in water is obtained based on the consistency condition of overall layout of the knitting lines in different knitting fabric areas; according to the shrinkage degree of the fabric soaked in water, the stretching condition of mutual penetrating and interweaving of knitting lines in the same knitted fabric area is analyzed, and the interweaving friction strength is obtained; according to the interweaving friction strength, based on the termination trend condition of the knitting line shrinkage progress in the same knitted fabric area at the continuous moment, the knitting line shrinkage deformation condition in the same knitted fabric area is analyzed, and a shrinkage prediction index of the knitted fabric area is obtained; and predicting the shrinkage rate of the knitted fabric. The accuracy of predicting the shrinkage rate of the knitted fabric is improved.

A stretchable fiber optic pressure sensor is a sensing device that uses stretchable optical fibers that deform in response to an applied force. A deformation of a fiber causes a decrease in an intensity or alters a duration of the transmitted light due to a bend, crease, or dent in the fiber. The sensor may be configured to determine a pressure or force as applied by an appendage of a user. Multiple sensors may be configured to be in contact with multiple appendages, such as insoles inserted in shoes to determine walking attributes such as a gait, posture, pace, toe-walking, limping, stumbling, foot drop, swaying, or shuffling of a user. The sensor is configurable to transmit data associated with the applied pressure or force to a user's mobile device or computer to monitor or diagnose health issues associated with walking attributes determined through the use of the sensor.

The invention relates to the field of fabric elasticity testing, in particular to an underwear elasticity and recovery performance testing method based on a human body model.The underwear elasticity and recovery performance testing method comprises the specific steps that firstly, the size of each part of a sample is measured, and the original size Xi0 is obtained; simulating actual wearing of the underwear sample finished product on a human body model device, and measuring the size of each part in a stretching state after the underwear sample finished product is stretched for a certain time to obtain a stretching size XiS; then, the sample is detached and spread on a horizontal table top to be relaxed and recovered, the sizes of all the parts of the sample are measured again after specified relaxation time, and the recovered size XiR is obtained; and finally, calculating the residual elongation and the elastic recovery rate through the following formula: the residual elongation Ei is equal to 100 * (XiR-Xi0) / Xi0, the elastic recovery rate Ri is equal to 100 * (XiS-XiR) / (XiS-Xi0); wherein i = 1, 2,..., i; compared with the prior art, for testing the three-dimensional structure and the dynamic wearing scene of the integrally-formed sports underwear, the problem that an existing testing means is disjointed with the actual use scene of the product is effectively solved.

The utility model discloses an airflow method drying rate tester for textiles, which comprises a shell, a flow sensor, a temperature sensor and a controller, wherein a mounting cavity is formed in the shell; the air source is arranged in the mounting cavity, and the air source is used for exhausting air outwards to drive external airflow to enter the air bellow along the test port; the water drop detection plate and the driving device are arranged in the mounting cavity; the driving device is connected with the water drop detection plate, is used for driving the water drop detection plate to translate and corresponds to / is staggered with the test port along the height direction; a temperature sensing unit and a wind speed sensor are arranged above the corresponding test port of the shell; the liquid dropping device comprises a dropper and a liquid supply device, the dropper is correspondingly arranged above the test port, the liquid supply device is arranged in the shell and connected with the dropper, and the liquid supply device drops liquid to the test port through the dropper; through the arrangement of the air bellow, the air source, the water drop detection plate, the temperature sensing unit, the air speed sensor and the liquid dropping device, the airflow method drying rate detection of the textile is realized, so that full-automatic measurement is realized, and the accuracy and the test efficiency of the whole test are greatly improved.

A down-proof performance tester relates to the field of down jacket performance detection equipment, and comprises a base, a console, a rotating box, an ion fan, a ventilation mechanism and a collection mechanism, and the console is arranged on the base; the rotating box is driven by the console to rotate; an outlet capable of discharging down feather is formed in the bottom of the rotating box; the ion fan faces the rotating box; the ventilation mechanism comprises a plurality of ventilation holes, a first guide rail and a shielding plate, and the ventilation holes are formed in the face, opposite to the ion fan, of the rotating box; the first guide rails are formed on two sides of the vent holes; the baffle plate is movably arranged between the two first guide rails so as to open or seal the ventilation hole; the collecting mechanism is connected with the outlet and can seal or open the outlet to collect down feather. After the box rotation is finished, the baffle plate is lifted, the ion fan is started, and the air is blown into the rotation box through the ventilation holes, so that static electricity in the rotation box can be eliminated, down feather adhered to the inner wall of the rotation box falls off, the down feather is collected through the collecting mechanism below, the down feather detection device is more convenient and quicker, and the detection efficiency is improved.

The utility model discloses an elastic fabric snagging performance testing device which comprises a working table, a transversely arranged guide rail structure is connected to the working table, at least one sliding table is movably arranged on the guide rail structure, three rod pieces with adjustable angles are connected to the sliding table, sliding grooves are formed in the rod pieces, and the sliding grooves are connected with the sliding table. A connecting rod is arranged in each sliding groove in a sliding mode, the upper ends of the connecting rods slide in the sliding grooves, and the lower ends of the connecting rods are connected with nail hammers. Each sliding table is correspondingly provided with a rolling mechanism, each rolling mechanism comprises two side plates, three rollers capable of synchronously rotating are connected between the side plates, the rollers are in a circular truncated cone shape, the heads and the tails of the adjacent rollers are arranged in an inverted mode, and the three rollers in the same rolling mechanism make contact with the three nail hammers on the corresponding sliding table respectively. The snagging performance test of the elastic fabric has the technical characteristics of being comprehensive, accurate, high in stability and the like.

The invention relates to the technical field of cotton yarn detection, and discloses a synchronous detection method for multiple performance indexes of cotton textile yarns. The method comprises the following steps: acquiring a current surface image parameter of a yarn body appearance layer, a current internal structure parameter of a fiber structure layer and a current molecular motion parameter of a molecular chain layer corresponding to a current production batch of to-be-detected yarn; performing layered performance analysis on each parameter to obtain a first current performance state evaluation value of the yarn body appearance layer, a second current performance state evaluation value of the fiber structure layer and a third current performance state evaluation value of the molecular chain layer; and finally, performing matching judgment on each evaluation value and a preset performance state evaluation reference range, and triggering a corresponding detection calibration operation according to a result. According to the method, multi-level parameters can be synchronously obtained, comprehensive performance evaluation is realized, the problems of single detection dimension, low efficiency, poor result association, lag and the like in the prior art are solved, the detection reliability and consistency are improved, and production quality control and process optimization are assisted.

Provided is a yarn-out state detection method, an electronic device and a storage medium, relating to the field of computer, and in particular to the fields of detection technology, artificial intelligence technology and neural network model technology. The method includes: collecting a first image and laser reflection data of a target yarn path in a spinning box; obtaining an image feature of the target yarn path according to the first image; obtaining a laser feature of the target yarn path according to the laser reflection data; and using a yarn-out state detection model to obtain a yarn-out state of the target yarn path according to the image feature and the laser feature.

The hosiery machine comprises a hosiery machine body, a hosiery suction device is arranged on the side edge of the hosiery machine body, the hosiery suction device comprises a first air pipe and a second air pipe, the first air pipe and the second air pipe are used for providing air suction force through an air pump, and a discharging barrel is arranged between the first air pipe and the second air pipe. A charging tray for detecting socks according to frequency is arranged on the side edge of the hosiery machine, the charging tray is controlled by a driving device to move to the position below the blanking barrel to obtain the socks needing to be detected, then the charging tray is driven by the driving device to leave the position below the blanking barrel, and output of the socks produced by the hosiery machine by the blanking barrel is not affected; the frequency for detecting the socks according to the frequency is the production quantity frequency of the socks or the production time frequency of a hosiery machine; the production number frequency of the socks is that the socks are detected once every production set number, and the production time frequency of the hosiery machine is that the socks are detected once every production set time. The charging tray for detecting the socks according to the frequency solves the technical problem that the socks produced by a hosiery machine cannot be detected according to the frequency.

The invention relates to the technical field of garment fabric thickness detection, in particular to a fabric thickness detection device. Comprising a supporting roller and a detection roller, fabric to be detected is tensioned in the direction of the supporting roller and passes between the supporting roller and the detection roller, a photographing detection module is arranged on the front side of the supporting roller, and the photographing detection module comprises an image sensor; the detection roller is used for coating the upper surface of a to-be-detected fabric with a colored material, the coloring condition of the to-be-detected fabric is photographed and compared through the photographing detection module, whether the thickness of the to-be-detected fabric is uniform or not is judged, a plurality of detection needles and distance sensors are arranged in the detection roller, and the detection needles can stretch out towards the concave position of the to-be-detected fabric. The distance sensor is used for detecting the extension distance of the detection needle. And the detection needle can extend out of the concave position of the fabric to be detected. The thickness uniformity condition of the whole fabric can be detected, the sinking and protruding conditions of the fabric can be conveniently and rapidly detected, and the control efficiency of the fabric quality is improved.

The invention relates to the technical field of clothing comfort evaluation, in particular to a method for testing clothing moisture resistance by adopting a dry-heat thermal manikin, which comprises the following steps: completely covering the surface of the dry-heat thermal manikin with a wet skin coat to simulate a sweating skin layer on the surface of human skin; environment parameters are set according to the actual environment needing to be simulated, and a heating mode of the dry-heat warm dummy is set according to the environment parameters so as to simulate the heat interaction process of the human body and the external environment; according to the intersection of the skin clothing surface temperature stable period and the heating power stable period of each part of the dry-heat body-warming dummy, the working stable period of the dry-heat body-warming dummy is determined; collecting the thermal environment parameters and the parameters of the dry-heat body-warming dummy in the stable working period of the dry-heat body-warming dummy, and obtaining the total thermal resistance of clothes, the partial pressure of water vapor on the surface of skin clothes and the partial pressure of water vapor in ambient air; therefore, the technical effects that the dry-heat warm-body dummy can simulate the sweat evaporation environment and the moisture resistance of the clothes can be accurately tested are achieved.

The invention relates to the field of textile quality detection, in particular to a textile quality detection device and method.The textile quality detection device comprises a detection box, sliding grooves are formed in the two ends of the detection box, a bent plate slides in the sliding grooves, one side of the bent plate extends to the upper end of the detection box, and a rotating shaft rotates at the end of the bent plate; a supporting plate of an n-shaped structure is arranged at the bottom of the rotating shaft, a winding unit is installed below the supporting plate, a sliding shaft is further arranged at the bottom of the detection box in a sliding mode, a puncture end is installed on the sliding shaft, and a pipeline is arranged on one side of the detection box in a penetrating mode. The winding unit can effectively clamp the two ends of the cloth, it is guaranteed that the cloth cannot slip off in the stretching and tearing testing process, and therefore the testing accuracy is guaranteed. The puncture end is designed to move up and down accurately and rotate, so that the bottom of the cloth is punctured accurately, and the detection reliability is further improved.

The invention relates to the technical field of artificial intelligence and computer vision crossing, and discloses a fabric weave structure automatic identification system, which comprises a data acquisition module, a production monitoring module, a production data analysis module, an evaluation module, an adjustment module, an execution module, a feedback module and an upgrading module, precise integration of raw material data and historical process data is realized by establishing a data acquisition module, multi-dimensional data acquisition is realized by a production monitoring module, quantitative calculation of key parameters is realized by a production data analysis module, multi-dimensional performance evaluation is realized by an evaluation module, targeted process optimization is realized by an adjustment module, and real-time parameter adjustment is realized by an execution module. The feedback module realizes closed-loop data circulation, and the upgrading module realizes continuous evolution of the system, so that the system has full-process intelligent management and control capability, the limitation of traditional two-dimensional analysis is effectively broken through, and high precision, high adaptability and high dynamic response of fabric weave structure identification are realized.

The invention provides a multi-area independent gaseous sweat evaporation dummy, the outer surface of the dummy is provided with a plurality of functional areas, each functional area is internally provided with an independently controlled detection module, the dummy comprises an isolation area, and the isolation area is arranged between the adjacent functional areas; the plurality of isolation modules are arranged in the isolation area to form a net-shaped isolation module; the isolation module comprises a fixed part and a movable part, the fixed part is fixedly mounted on the isolation area, and the movable part is buckled on the fixed part and used for clamping the fabric to be detected aligned with the isolation area; the isolation module further comprises a temperature blocking piece and a steam blocking piece, the steam blocking piece sequentially penetrates through the movable part and the fixed part and extends to the inner cavity of the dummy to form an airflow barrier used for blocking circulation of steam in the adjacent functional areas, and the airflow barrier penetrates through the isolation area to reduce mutual interference of sweat steam evaporated by the detection module. The method is used for improving the performance test stability of a to-be-detected fabric.

The invention belongs to the technical field of textile detection, and particularly relates to a cotton yarn evenness detection device and method.The cotton yarn evenness detection device comprises a detector body, a humidifying box used for humidifying cotton yarn is arranged on the upper portion of the detector body, the outlet end of the humidifying box is connected with a yarn guide pipe, and a monitoring module used for detecting the state of the cotton yarn is embedded in the pipe wall of the yarn guide pipe; a thermal insulation cover is arranged at the lower end of the yarn guide pipe, a compensation module for correcting the temperature and humidity of the cotton yarn according to feedback signals of the monitoring module is arranged in the thermal insulation cover, and a guide strip for guiding the starting end of the cotton yarn to sequentially penetrate through the yarn guide pipe, the compensation module and the capacitor module to the traction roller is inserted into the yarn guide pipe; through cooperation of the structure, the uniformity detection time of the cotton yarn is shortened, and meanwhile the interference of the temperature and humidity difference of the inner and outer yarn layers of the yarn roll on the uniformity detection result is avoided.

The invention belongs to the technical field of textile product processing, and discloses a new material textile product change rate measuring device which comprises a workbench, a fixing frame, two lifting frames, a placing plate and two wrinkle removing mechanisms. The fixing frame is installed on the workbench, the two lifting frames are installed on the front portion and the rear portion in the fixing frame in a sliding mode respectively and driven by a lead screw motor, the containing plate is arranged on the workbench, the surface of the containing plate is a smooth surface, and the two wrinkle removing mechanisms are installed on the two lifting frames in a transverse moving mode and driven through electromagnetic sliding rails. And the wrinkle removing mechanism comprises a moving frame, the moving frame is transversely mounted on the two lifting frames through electromagnetic sliding rails, and a mounting frame is mounted on the outer side of the moving frame. By means of the design, cloth wrinkles can be eliminated while measurement is conducted, the measured cloth does not need to be flattened in an ironing mode independently, the measurement efficiency of new material textile products is improved, and then the measurement accuracy of the new material textile products is improved.

Disclosed is an artificial turf fiber (204, 502-510, 804, 902-906, 1500, 1602-1618) comprising a longitudinal cross-sectional profile, the artificial turf fiber being under internal stress that causes the artificial turf fiber, upon receiving heat treatment, to assume a helical shape, wherein the core of the fiber consists of or predominantly comprises a core polymer, and wherein the periphery of the fiber consists of or predominantly comprises a cladding polymer, wherein the core polymer and the cladding polymer are different polymer materials, and wherein the core and cladding polymers are selected such that the core polymer undergoes greater shrinkage than the cladding polymer when subjected to the heat treatment.

The invention discloses a coating quality detection device for fabric coating blade coating equipment, and belongs to the technical field of fabric coating detection equipment.The coating quality detection device comprises a fixing frame and a textile fabric, the textile fabric is located on the inner side of the fixing frame, a centrifugal fan is fixedly installed at the top of the fixing frame, two supporting rods are installed at the top of the fixing frame, and the two supporting rods are arranged on the fixing frame. A detection head is mounted on the inner side of the top of the fixing frame, and the detection head is matched with the textile fabric; and the pulse shaking mechanism comprises a fixed cylinder, and the fixed cylinder is fixedly installed at the bottoms of the two supporting rods. The opening of the rotary drum is periodically aligned with the spray heads, continuous airflow is converted into high-frequency pulse airflow, violent shaking of textile cloth is achieved, impurity particles on the surface of a coating are effectively shaken off, the function partition design of the lateral spray heads and the bottom spray heads of the rotary drum, bottom pulse airflow impurity removal and lateral airflow form an air curtain to block after-tack of impurities, and the coating surface is effectively shaken off. And the problem of secondary pollution caused by traditional single-direction purging is solved.

To provide a technique for accurately evaluating the discharge amount of micro-plastic fibers in a treatment liquid after cleaning a textile product.SOLUTION: A micro-plastic fiber evaluation method according to one embodiment of the present invention is a micro-plastic fiber evaluation method for evaluating the discharge amount of the micro-plastic fiber in a treatment liquid after cleaning a fiber product. The evaluation method includes a step of detecting a micro-plastic fiber from an image in which the processing liquid is imaged, and a step of evaluating the discharge amount of the micro-plastic fiber by calculating the amount of the detected micro-plastic fiber.SELECTED DRAWING: Figure 4