373results 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.

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 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.

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 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.

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 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.

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 relates to the technical field of asphalt felt base cloth detection devices, and particularly discloses an asphalt felt base cloth temperature change performance detection device which comprises a test box, a box body door is arranged at the upper end of the test box, a temperature controller is arranged on the outer side wall of the test box, a conveying assembly is arranged at the upper end of the test box, and a detection assembly and a clamping mechanism are arranged in the test box; two sets of felt base cloth are placed on the conveying assembly, the conveying assembly can flatly clamp and convey the two sets of felt base cloth into the test box, the clamping mechanism clamps the two sets of felt base cloth and bends one set of felt base cloth, the box body door is closed, the test box is continuously heated or cooled through the temperature controller, and the test box is heated or cooled through the temperature controller. The detection assembly can continuously perform temperature change performance detection on the two groups of felt base cloth, so that the temperature change performance of the felt base cloth can be detected under the conditions of continuous temperature change and bending, and a more comprehensive basis is provided for durability and reliability evaluation of the felt base cloth.

The invention relates to the technical field of cashmere knitwear detection, in particular to a washing method for detecting antibacterial cashmere and cashmere-containing knitwear, which at least comprises the following steps: adding a sample fabric, a standard washing accompanying object and a standard detergent into an A-type standard washing machine; a washing program refers to a washing program 4H hand washing simulation program of an A-type standard washing machine, the water temperature is controlled to be 35-42 DEG C for washing for 1-1.5 min, the water temperature is controlled to be 35-42 DEG C, tap water is used for primary rinsing and secondary rinsing, dewatering is conducted for 30-60 s, and washing is conducted once; repeatedly washing to preset washing times; the washed sample fabric is used for testing the antibacterial performance, the problems of structural change and detection distortion caused by improper washing of the cashmere antibacterial fabric under the current standard are solved, and the method is more in line with the actual washing scene.

The invention discloses washing detection equipment based on a low stretch yarn antistatic polyester fabric, and relates to the technical field of fabric washing detection, the washing detection equipment comprises a main body shell, Faraday cups and a sealing cover, the Faraday cups are symmetrically embedded in the main body shell, the sealing cover is rotatably connected to the tops of the Faraday cups, and the washing detection equipment further comprises a first assembly; the first assembly comprises a side plate, a guide groove, a direction adjusting part and a roller; through the design of a guide groove in the first assembly, the detection efficiency can be remarkably improved, only one piece of sample fabric can be operated each time in a traditional detection mode, and through the design of the guide groove in the first assembly, the electrostatic friction action can be carried out on two pieces of sample fabric at the same time; by means of the improvement, the sample handling capacity of single-time detection is doubled, more fabric detection can be completed within the same time, time consumed by large-scale detection tasks is greatly shortened, the requirements of enterprises for efficient and batch detection are effectively met, and the detection work efficiency is remarkably improved.

The invention discloses a textile warping wool-like yarn detection device and relates to the technical field of textile, the textile warping wool-like yarn detection device comprises a device base and further comprises an angle-adjustable detection mechanism, a dust collection mechanism and a feeding and discharging mechanism, the angle-adjustable detection mechanism comprises a portal frame, a lifting toothed bar, a guide frame and a detection head, and the portal frame is arranged in the middle of the top end of the device base; the lifting toothed bar is arranged in the portal frame, the guide frame is arranged at the top end of the device base and located in the portal frame, and the detection head is arranged on the guide frame. The lifting toothed bar is controlled to ascend and descend, the translation seat is limited according to needs, when the lifting toothed bar moves, the sliding rod is driven to move in the first guide groove, the detection angle of the detection head on the guide frame can be adjusted through the limiting rod, the detection head can always face the wool-like yarn, and by changing the angle between the connecting frame and the movable plate, the detection accuracy is improved. The inclination angle of the detection head and the wool-like yarn is adjusted according to detection requirements, and the detection effect is improved.

The utility model relates to the technical field of textile fabrics, in particular to a textile fabric shrinkage rate detection box which comprises a box body, a box door, a first shell, a second shell and a supporting frame, the box door is rotatably arranged on the outer wall of the side edge of the box body, the first shell is arranged on the outer wall of the side edge of the box body, and the second shell is arranged at the top end of the first shell. A steam mechanism is arranged above the box body, and a measuring mechanism is installed on the inner wall of the side edge of the supporting frame. The small vacuum pump is used for pumping air, so that the air suction plate generates suction force, redundant steam generated in the ironing process is sucked, the steam is pumped into the cooling box and then cooled into water again, and then the cooled water is pumped back into the water tank again through the small water pump. Therefore, the interior of the box body can be kept dry after ironing is finished, the next detection is prevented from being affected, and the working efficiency is improved.

The invention provides a cotton sample cleaning and feeding device and method based on seed cotton detection and metering, and belongs to the technical field of cotton sample processing equipment. Comprising a working box body, a seed cotton pushing unit, a detecting and pressing unit, a preliminary cleaning and conveying unit, a secondary cleaning and recycling unit, a cotton stripping processing unit, a cotton seed collecting unit and a cotton sample collecting unit are integrated in the working box body, and all the units are transmitted through a synchronous belt wheel set. The method comprises the steps that seed cotton is pushed to the detection unit to be pressed and detect the moisture index, large-particle impurities are separated through the cotton feeding roller and the barbed nail roller of the primary cleaning unit, then multi-stage cleaning is conducted through the rack roller and the cotton doffing roller of the secondary cleaning unit, noil is reduced through the recovery roller, and finally cotton seeds and pure cotton samples are collected in a classified mode after cotton stripping is conducted. By the adoption of the cotton sample cleaning and feeding device and method based on seed cotton detection and metering, the cotton hull cleaning efficiency is improved to 98%, the noil rate is controlled to be 0, the problem that detection is inaccurate due to the fact that an existing device is low in impurity cleaning efficiency and high in noil rate is effectively solved, and the accuracy of seed cotton detection indexes is guaranteed.

The invention relates to a computer-implemented method for optically characterizing a textile fiber structure. A plurality of pieces of information on the color at different locations of the textile fiber structure are detected by an optical sensor system. The detected color information is transmitted to a computer (107) and is entered into a color space (2) in the form of a scatter plot (31) by the computer. A frequency density distribution (4) of the scatter plot (31) is determined, and the frequency density distribution (4) is numerically specified. The invention allows a change in the material of the textile fiber structure to be ascertained and optimizes the elimination of foreign materials from the textile fiber structure.

Disclosed are improved methods for inspecting tow for contamination, defects, and / or imperfections, for example cellulose acetate tow. The present disclosure can also relate to processes for producing cellulose acetate tow that involve detecting and analyzing contamination, defects, and / or imperfections in the tow. The methods can result in cellulose acetate that has fewer contamination, defects, and / or imperfections than has been previously achieved.

In order to assess the quality of an elongate textile body, such as a yarn precursor or a yarn, the textile body (52) is run past a sensor head (12, 18, 24, 30; 44). At a first plurality of times, body parameters of the textile body (52) are measured. The parameters can include color components and / or other parameters, such as the thickness of the textile body (52). Principal component analysis is used to scale deviations in parameter space to make the quality assessment more robust.

A method of quantifying the removal of hydrocarbon component from a soiled fabric by a washing process, wherein the soiled fabric includes at least about 0.5 wt % hydrocarbon component wherein the method uses near infra-red (NIR) analysis, wherein the method includes the steps of: (a) performing non-contact NIR analysis of the soiled fabric to determine the concentration of hydrocarbon component present on the soiled fabric at multiple points; (b) washing the soiled fabric to obtain a washed fabric; (c) performing non-contact NIR analysis of the washed fabric to determine the concentration of hydrocarbon component present on the washed fabric at the same multiple points that were used in step (a); and (d) quantifying the removal of hydrocarbon component from the soiled fabric by the washing process.

The invention relates to the technical field of carbon fiber performance testing, in particular to a large-tow carbon fiber expansibility testing device and method, and the large-tow carbon fiber expansibility testing device comprises an airflow yarn spreading device, a mechanical vibration yarn spreading device, a front width measuring device and a rear width measuring device; the airflow yarn spreading device is used for continuously moving in the direction perpendicular to the plane of the carbon fiber tows and conducting hot air blowing on the carbon fiber tows, and the mechanical vibration yarn spreading device is used for spreading the carbon fiber tows in a mechanical vibration and heating mode. The front width measuring device is used for automatically identifying and recording the width of the tow carbon fiber before yarn spreading, and the rear width measuring device is used for automatically identifying and recording the width of the tow carbon fiber after yarn spreading. According to the application, the influence of various parameters on the expansibility of the carbon fiber tow can be comprehensively tested and represented, and the expansibility of the large-tow carbon fiber can be objectively and accurately evaluated.

The utility model discloses a clothing fading testing device which comprises an operation table, the top of the operation table is fixedly connected with a portal frame and an operation plate, the top of the operation plate is provided with two positioning plates, the top of the operation plate is provided with an adjusting assembly, and the adjusting assembly is used for fixing the two positioning plates to move. A test plate is arranged above the operation plate and located in the portal frame, and a displacement assembly is arranged in the portal frame and used for driving the test plate to move. The testing plate is driven to move through the displacement assembly, the testing plate can be conveniently moved to a corresponding position according to detection requirements, and a garment fading test is carried out, so that through the automatic detection testing device, the accuracy of a garment detection structure is improved, meanwhile, manual intervention is reduced, and the testing efficiency is improved.

This invention relates to the field of pressure ulcer monitoring technology, specifically disclosing a pressure ulcer prevention monitoring system and monitor. The system includes a data recording module for recording material characteristic data of different types of mattresses and sheets. By recording the material characteristic data of different types of mattresses and sheets, and collecting data on sheet residues and chemical contaminants, the material characteristic data of different types of mattresses and sheets can reflect the friction risk between the patient and the mattress / sheet, while the data on sheet residues and chemical contaminants can reflect the soiling status of the sheet. By combining the above two sets of data, the pressure ulcer risk threshold can be assessed and dynamically adjusted based on diversified data such as the potential friction risk to the patient and the risk of skin irritation from sheet soiling, thereby improving the accuracy of subsequent patient pressure ulcer risk analysis results.

The invention provides a half-wool fabric clean color fastness soaking device, and relates to the field of half-wool fabric soaking. A first adjusting assembly is fixedly arranged at the top of the soaking box; a second adjusting assembly is arranged in the sliding frame, and a driving structure is further arranged in the sliding frame. A clamping structure is fixedly arranged on the outer side of the bottom of the second adjusting assembly, and the second adjusting assembly, the driving structure and the clamping structure are symmetrically arranged at two positions. A driving structure and a second adjusting assembly are arranged; the two sets of clamping structures can drive the two sides of the to-be-tested fabric to rotate reversely or rotate in the same direction, so that the fabric can bear torsional force in a solution, the washing environment in actual use can be simulated, and the problems that the washing environment in actual use is inconvenient to simulate, and the working efficiency is low are solved. The capability of simulating the twisting force bearing of the fabric in the liquid medium is lacked.

The application relates to the technical field of textile detection, and discloses a textile quantitative chemical analysis automatic detection device, which comprises a frame body and a liquid feeding mechanism, a dissolving, cleaning and filtering mechanism, a water bath circulating mechanism and a waste liquid discharging mechanism which are installed on the frame body. The liquid feeding mechanism delivers solvent and water to the dissolving, cleaning and filtering mechanism through pipelines. The waste liquid discharging mechanism draws waste liquid in the dissolving, cleaning and filtering mechanism through pipelines. The water bath circulating mechanism is located outside the dissolving, cleaning and filtering mechanism and is used for regulating and controlling the ambient temperature. The textile quantitative chemical analysis automatic detection device can perform solvent filling, fiber dissolving, liquid adding and cleaning, neutralization, filtering and classified liquid discharging operations on the measured sample in multiple stations. During the test process, the tester can leave after putting the sample into the crucible, and the test is automatically completed.