16308 results about "Yarn" patented technology

The invention provides a graphene antibacterial polyester yarn production control platform based on intelligent algorithm optimization, and relates to the technical field of automation control, and the graphene antibacterial polyester yarn production control platform comprises the steps that a quality control analysis module obtains a production operation parameter set of graphene antibacterial polyester yarns for quality control analysis, and sets product performance indexes; the optimization model building module is used for building an objective function and root and building a multi-objective optimization model; the process optimization module performs process optimization by using a multi-objective optimization model to obtain production optimization parameters; the operation change analysis module performs operation control monitoring based on the production optimization parameters and draws a production parameter change trend chart; the product quality prediction module performs product quality prediction through reinforcement learning; the control strategy making module makes a production control strategy based on the product quality prediction data set. The technical problems of product quality fluctuation and cost control difficulty caused by lack of real-time accurate adjustment means for production parameters in the prior art are solved, and the production cost is reduced while the product quality is improved.

The invention provides an auxiliary conveying parameter automatic adjusting method and system for yarn dyeing, and relates to the technical field of yarn dyeing, and the auxiliary conveying parameter automatic adjusting method comprises the steps that a dyeing process parameter template is configured; initializing dyeing equipment; activating a monitoring sensor in the dyeing equipment, and collecting yarn data; in-tank flow analysis is carried out on the dyeing tanks, region segmentation results are established, and linkage sensors are configured respectively; establishing a response parameter standard by using real-time yarn data and a dyeing process parameter template; and generating a time sequence micro-assistant release strategy, and automatically adjusting assistant conveying parameters. The technical problem that in the prior art, due to the fact that flowing in the dyeing tank is uneven, the auxiliaries are excessive or insufficient, and the control precision of the conveying parameters of the auxiliaries for yarn dyeing is further affected can be solved, and the control precision of the conveying parameters of the auxiliaries is improved by automatically adjusting the conveying parameters of the auxiliaries through flowing analysis and area segmentation.

The invention relates to the technical field of textile informatization and block chain encryption traceability, in particular to a textile quality block chain encryption traceability method, which comprises the following steps of: implanting quantum dot-nucleic acid mixed fingerprints into yarns in a spinning stage and generating distributed identities; in the production link, process data are collected in a trusted execution environment, and are packaged into an encrypted packet by using homomorphic encryption, zero-knowledge proof and threshold signature; and after a batch threshold value is reached, calculating a batch commitment and a fragmentation commitment, fragmenting through erasure coding, writing the commitment and the proof into the directed acyclic graph according to a fixed field, and confirming through a Byzantine fault-tolerant consensus. Consumer off-line fingerprint comparison and homomorphic verification can realize authenticity identification, and after networking, batch certification is verified and credits are pledged. And when the time lock expires, the historical quality data is decrypted by multiple subjects in a combined manner, and maintenance suggestion hash is generated and written into subsequent transactions, closed-loop tracing from production to maintenance is realized, and anti-counterfeiting, privacy protection and quality improvement are realized at the same time.

A knitted upper for an article of footwear. The knitted upper is formed essentially as a single piece in a three-dimensional knitting process. The knitted upper includes at least one activated shrink yarn.

The invention belongs to the technical field of position tracking control of rigid multi-joint mechanical arms, and discloses a fuzzy self-adaptive visual servo control method and system for a multi-joint mechanical arm system for placing bobbins in a textile workshop, and the method comprises the steps: constructing an image error model according to the positions of feature points on an image plane; the fuzzy logic system is used for processing uncertain items in the system, the instruction filtering and fuzzy self-adaption technology is used for achieving tracking control over the expected trajectory of the system, the problem of calculation complexity is solved, and adverse effects caused by filtering errors are eliminated. In the process of changing the bobbins, the bobbins are placed on a creel through a multi-degree-of-freedom robotic arm, a clamping jaw at the tail end of the robotic arm is required to accurately grab the bobbins for feeding and discharging, and the requirement for accurate and rapid control of the robotic arm is met, so that research on visual servo control of the robotic arm is of great significance. The method has a good control effect, the problem of calculation complexity in the design process of the controller is solved, the trajectory tracking error is smaller, and the system robustness is higher.

The invention relates to the field of textile materials, and provides an antibacterial breathable yarn obtained by blended spinning of polyester fibers, polyamide fibers, cotton fibers and elastic fibers. The polyester fiber is prepared through melt blending and spinning processes and comprises polyethylene glycol terephthalate slices, modified chitosan zinc oxide, an antioxidant 1010, a POE elastomer, polyether modified silicone oil and polyethylene glycol 200, and the modified chitosan zinc oxide is prepared by compounding chitosan cinnamyl aldehyde Schiff base and silane modified zinc oxide. The chitosan cinnamyl aldehyde Schiff base is prepared through a Schiff base condensation reaction of chitosan and cinnamyl aldehyde, and the silane modified zinc oxide is prepared from nano rod-shaped zinc oxide particles modified by isocyanate propyl triethoxy silane. The yarn has excellent antibacterial property, air permeability and flexibility and is further used for knitting antibacterial breathable socks, the knitting density of the sock bottom part is reduced to enhance the air permeability, the knitting density of the sock opening part is improved to improve the elasticity and the fitting degree, and the yarn has wide application value.

The invention belongs to the technical field of flexible sensing, and discloses a flexible piezoresistive sensing array based on a triangular truss grid structure weft knitting spacer fabric, which is of a five-layer composite structure integrally woven and formed through a weft knitting process. The first packaging layer, the first electrode layer, the spacer fabric spacer layer, the second electrode layer and the second packaging layer are sequentially arranged from top to bottom; the first packaging layer and the second packaging layer are formed by weaving insulating yarns and are respectively an upper surface layer and a lower surface layer of the spacer fabric; the spacer fabric spacer layer is of a three-dimensional elastic supporting structure and comprises a plurality of first spacer layer transverse rows and a plurality of second spacer layer transverse rows which are formed by alternately weaving the upper face layer and the lower face layer of the spacer fabric through tucking. The first spacing layer transverse rows and the second spacing layer transverse rows are arranged in the spacing fabric in a staggered mode and are sequentially connected end to end to form a transverse row crossing cross-linked type triangular truss grid structure. The flexible piezoresistive sensing array provided by the invention has high structural integrity and long-term stability.

The invention provides a textile industry broken yarn identification method and system based on a neural network, and the method comprises the steps: collecting yarn multi-modal data, including a surface image, a fracture sound wave signal and tension change data; preprocessing the data, and extracting an image ROI region, sound wave spectrum features and a tension mutation sequence; performing space-time alignment and feature extraction on the extracted content to obtain a joint feature vector; inputting the broken yarn into a trained broken yarn identification model, wherein the model can identify broken yarn features; judging whether broken yarns exist or not according to the output result and outputting an identification result; and updating the model through online incremental learning. According to the method, multiple types of data are combined, the adaptive preprocessing and feature extraction technology is used, environmental noise is inhibited, key features are focused, and the problem of false alarm of a traditional sensor is solved; multi-modal features are fused through space-time alignment and a self-attention mechanism, and bidirectional LSTM modeling is combined, so that a broken yarn dynamic rule is accurately captured, and the problems of missing detection and delay of manual inspection are avoided.

A woven silt fence fabric includes two or more distinctly different colors of warp yarns in the machine direction. The woven silt fence fabric includes a first woven fabric portion to be installed in the ground having a first color that is distinctly different from a second color of a second woven fabric portion to be installed and remain exposed above the ground.

A pickleball paddle comprising: a handle; a ball striking blade formed integrally with the handle; the handle and the blade being formed from a core layer sandwiched between outer layers to form a unitary body; core layer comprising a thickness which is substantially greater than thickness of the outer layers, wherein each of said outer layer comprises one or more layers of composite material yarns that are pre- impregnated with epoxy with at least an outermost layer of said composite material yarn comprising embedded grit particles that are embedded into said outermost layer of the composite material yarns.

The invention relates to the field of yarn spinning, in particular to a real-time quality rating method and system for yarn spinning. The method comprises the following steps: acquiring a space-time charge data set, and generating a yarn electrostatic state data set through a multi-mode sensing fusion strategy; on the basis of the yarn static state data set, yarn spinning quality defects are recognized by combining yarn form data collected in real time, two-dimensional dynamic rating is executed according to defect types and severity, and yarn real-time quality rating is generated; according to the yarn real-time quality rating, carrying out change trend analysis on the yarn real-time quality rating to generate a yarn subsequent quality change trend; and executing a corresponding process regulation and control instruction according to the subsequent quality change trend of the yarn, and outputting a quality rating log. In the yarn spinning process, process look-ahead optimization is achieved, quality tracing is perfected, and the accuracy and real-time performance of quality rating are improved.

The invention discloses a multi-bundle fiber winding linear trajectory planning method and device and a medium, and relates to the technical field of fiber winding, and the method comprises the steps: determining a total center corner corresponding to an initial fiber winding linear trajectory according to a core model and initial winding parameters; setting a deviation range of a total central rotation angle, and determining a value range of the number of revolutions of a mandrel of the corresponding mandrel; setting a deviation range of the width of the fiber yarn tape, and determining a plurality of values of the number of circulation turns to obtain a plurality of mandrel rotation number values; according to the continuous fraction theory, the winding line type track tangent point number corresponding to each core mold mandrel revolution number value is calculated; screening out a plurality of winding line type tracks corresponding to the core mold and core shaft revolution number values meeting the tangent point number requirement and the coverage degree requirement; and screening out a fiber winding linear track meeting the multi-bundle winding requirement from the winding linear tracks meeting the tangent point number requirement and the coverage requirement. The scheme can be used for designing and planning a multi-bundle fiber winding linear track.

The invention discloses a yarn weak twist and hairiness intelligent detection system based on visual stroboscopic synchronization, particularly relates to the field of quality control in the textile industry, is used for solving the problem of accurate detection of weak twist and hairiness defects in the yarn production process, and dynamically adjusts the flash frequency of a stroboscope according to the real-time speed and acceleration data of yarn, so that the detection accuracy is improved. The light source and the yarn are ensured to move synchronously, and a high-resolution image is obtained. In combination with yarn motion spectrum analysis and image quality evaluation, a complexity score and a matching degree score are generated and are used for dynamically regulating and controlling image noise reduction and edge detection parameters, and characteristic extraction requirements under different yarn motion conditions are met. The weak twist characteristic and the hairiness texture of the yarn are accurately extracted through a multi-scale edge detection and wavelet transform algorithm, a twist distribution model is constructed, the boundary range is corrected in combination with hairiness distribution data, characteristic interference is reduced, and the detection precision and reliability are improved.

The invention provides a staggered plaiting fabric and an assembly for a single-sided circular weft knitting machine, the staggered plaiting fabric comprises two yarns, the coil composition structure of the staggered plaiting fabric is in a staggered state, the veil forming each coil comes from the previous knitting road, and the plaiting comes from the current knitting road; the extension lines between the coils are in a crossed state, and the two yarns are respectively and alternately represented as surface yarns and plaiting yarns in the transverse direction. The assembly for the single-face circular weft knitting machine is used for producing staggered plaiting fabric and comprises a knitting needle, a sinker, a knitting needle triangular runway and a sinker triangular runway. The knitting needle comprises a needle rod, a needle hook, a needle latch and a needle butt; the needle hook is arranged at the upper end of the needle rod; the needle latch is arranged at the upper part of the needle rod, rotationally connected with the needle rod and used for closing or opening the needle hook; the butt is embedded into the knitting needle triangular runway; the sinker comprises an upper piece forehead, a lower piece forehead and a piece heel; the lower piece forehead is used as a first bent yarn holding surface; the upper piece forehead is used as a second bent yarn holding surface; and the heel is embedded into the sinker triangular runway.

The invention relates to the technical field of manufacturing of textile ceramic parts, in particular to a ceramic yarn guide wheel polishing method. The design key points are as follows: to-be-polished ceramic yarn guide wheels are accommodated in a self-gravity type supply mechanism in a horizontal posture, are stacked and are supplied to a clamping mechanism one by one under the action of self gravity, and in the supply process, the to-be-polished ceramic yarn guide wheels are converted into a vertical posture from the horizontal posture; and after the polishing process is finished, the polished ceramic yarn guide wheel falls into the falling pipe under the action of self-gravity and finally slides into the finished product collecting device. Thus, on one hand, batch feeding can be achieved through the ceramic yarn guide wheel, manual intervention or power input is not needed in the implementation process, and a single worker can simultaneously take multiple mechanical polishing devices into consideration; on the other hand, the supply efficiency of the self-gravity type supply mechanism is extremely high, and the working rhythm of the mechanical polishing mechanism can be met; and on the other hand, the design concept of automatic discharging of the polished ceramic guide yarn is achieved.

The invention belongs to the technical field of textile dyeing methods, and particularly relates to a tension-free anti-fibrillation dyeing method for lyocell blended yarn. The tension-free fibrillating-resistant dyeing method of the lyocell blended yarn comprises the following steps: preparing a bobbin-free loose yarn bundle, namely loosely winding lyocell pure spinning or blended yarn into tension-free yarn bundles of which the weight is 0.5-1.5 kg by adopting an integrated chuck bobbin, and meanwhile, wrapping the tension-free yarn bundles with knitted sock legs; according to the tension-free loose yarn bundle filling, a cross-shaped lifting chain is matched with a yarn bundle grate, staggered filling shaped like a Chinese character'pin 'is achieved, and the loading rate ranges from 90% to 120%. The tension-free one-bath dyeing / cross-linking comprises the following steps: pre-treating the filled tension-free loose yarn bundle, performing dyeing and cross-linking through a one-bath two-step method, and finally performing soaping, hot water washing, color fixation / softening one-bath treatment and radio frequency drying. According to the tension-free antifibrillating dyeing method for the lyocell blended yarn, dyeing is uniform, the color difference is small, and the percent of pass is increased.

The present invention relates to an electrospun fiber, a process for preparing the same, a nonwoven fabric comprising the electrospun fiber, as well as corresponding uses and articles. The inventive electrospun fiber comprises a polymer, a surface-reacted calcium carbonate and a pharmaceutically or nutraceutically active ingredient, wherein at least a part of the pharmaceutically or nutraceutically active ingredient is present within the pores of the surface-reacted calcium carbonate. The inventive fibers may be used e.g. in yarns, transdermal patches, intrabuccal patches, implantable textiles, wound dressings and / or medical tapes.

The invention discloses a control method of a control system for automatic unwinding of a carbon fiber placement machine, and the system comprises an ultrasonic sensor for measuring the winding diameter of an unwinding raw material, an unwinding shaft for installing a carbon fiber raw material winding drum, a servo all-in-one machine directly connected with the unwinding shaft, and a film winding shaft for winding a covering film in the raw material winding drum, the floating roller is used for balancing the elastic force of the spring and the tension of a yarn path, the spring is connected to the floating roller, and the displacement sensor is connected to the spring. Spring elasticity is obtained through a displacement sensor, and then current yarn path tension is obtained; according to the set expected tension and the current yarn path tension, the force needing to be output by a servo all-in-one machine directly connected with the unwinding shaft is obtained through a PID algorithm; the diameter of the unwound material is measured through the ultrasonic sensor, and the torque needing to be output by the servo all-in-one machine is calculated. According to the invention, high stability and quick response performance of automatic unwinding during high-speed fiber placement of the carbon fiber placement machine equipment are realized, and various faults in the unwinding process are automatically judged.

The invention relates to the related technical field of zipper anti-blocking, in particular to a light and thin fabric jacket zipper anti-blocking process optimization method, which comprises the following steps: integrating material structure parameters and mechanical behavior characteristics, performing dynamic stress simulation on a light and thin fabric jacket zipper mounting area, analyzing stress distribution and evolution rules under different motion states and opening and closing speeds, and determining the anti-blocking process of a light and thin fabric jacket zipper. And a zipper anti-clamping groove structure is arranged, and a process optimization parameter combination is obtained through parameter optimization. The technical problems that comprehensive analysis of material structure parameters such as yarn density and friction coefficient and mechanical behavior characteristics is lacked, stress distribution of a zipper installation area cannot be accurately determined, and jamming and fabric wrinkling and damage are prone to occurring are solved, stress distribution of the zipper installation area in different motion states is determined, and the application range of the zipper installation area is widened. The elastic buffer layer and the guide sliding rail are arranged through stress distribution, the elastic buffer layer is differentially configured according to a high-stress area, the guide sliding rail is sectionally arranged according to pressure distribution of a contact surface, stress is effectively absorbed and dispersed, and the zipper is guided to slide smoothly.

The present application belongs to the technical field of flexible sensing, and discloses a flexible piezoresistive sensing array based on a triangular truss grid structure weft-knitted spacer fabric, which is a five-layer composite structure integrally formed through a weft-knitting process, and sequentially comprises a first encapsulation layer, a first electrode layer, a spacer fabric spacing layer, a second electrode layer and a second encapsulation layer from top to bottom; the first encapsulation layer and the second encapsulation layer are knitted from insulating yarns and serve as upper and lower layers of the spacer fabric respectively; the spacer fabric spacing layer is a three-dimensional elastic support structure, and comprises a plurality of first spacer layer courses and a plurality of second spacer layer courses alternately knitted through tuck stitches on the upper and lower layers of the spacer fabric; the first spacer layer courses and the second spacer layer courses are staggered with each other in the spacer fabric and are sequentially connected at the head and tail to form a triangular truss grid structure in a cross-course crosslinking mode. The flexible piezoresistive sensing array of the present application has high structural integrity and long-term stability.

The invention belongs to the technical field of personal protection equipment, and particularly relates to a lightweight cut-resistant four-dimensional structure fabric based on high-performance composite fibers and a preparation method of the lightweight cut-resistant four-dimensional structure fabric. The structure is based on a high-performance composite fiber material and a nano silicon carbide embedding technology of high-performance polyethylene fibers, the hardness bottleneck of a single material is broken through, and multi-fiber compatibility is improved through cooperation of polyurethane fiber surface activation and polyurethane fiber anti-melting modification. The gradient twist core sheath yarn is a high-performance composite yarn, and the strength and the flexibility are balanced. In the aspect of the oversleeve fabric structure, a three-dimensional protection system comprising a honeycomb structure, a silica gel liner and a skin-friendly inner layer is adopted, so that the integration of multiple functions of hydrophobicity, fusion resistance and buffering of a light-weight cut-resistant material is realized. Under the EN 388 standard, 5-level cutting prevention can be achieved, a single high-performance polyethylene fiber cutting prevention oversleeve can only reach 3-4 levels, the weight of the composite fiber material is reduced by 40% compared with that of a full aramid fiber oversleeve, the thickness is reduced by 25%, and the composite fiber material can be suitable for complex scenes such as petroleum and electric power.

The invention belongs to the technical field of carbon fiber winding, and aims to solve the problems that current annular winding and spiral winding equipment is limited to single-bundle or several-bundle winding, meanwhile, a matched automatic yarn feeding system is not mature, a wound product is prone to stress concentration, and the winding efficiency is low. The rod type multi-bundle fiber spiral winding equipment comprises a rack, a yarn guide head assembly, a yarn guide head self-rotating mechanism, a yarn guide head radial telescopic mechanism and a semi-automatic yarn guide mechanism. Wherein the yarn guide head spinning mechanism is used for driving the yarn guide head assembly to do spinning motion, the yarn guide head radial telescopic mechanism is used for driving the yarn guide head assembly to do radial telescopic motion, and the semi-automatic yarn guide mechanism is used for feeding fiber yarn to the yarn guide head assembly, adjusting the tension of the fiber yarn and recycling a film stripped from the fiber yarn. Synchronous spiral winding of multiple bundles of fibers can be achieved, the winding efficiency is improved, and the problems that yarn feeding is difficult, and the winding process is difficult to intervene are solved.

The invention relates to the technical field of textile machinery, and discloses a covering yarn machine spindle speed and twist control system which comprises a data acquisition module, a global control module, an individual diagnosis module, a power execution module and a man-machine interaction module. The actual average speed of the whole machine is calculated by collecting the speed of each spindle in real time, and PID closed-loop control is carried out on the actual average speed and a set value, so that the systematic speed deviation of the whole machine is accurately corrected. Meanwhile, the individual diagnosis module calculates spindle difference signals of the speeds of the spindles and the average speed of the whole machine in parallel, time domain and frequency domain analysis is carried out on the signals, and hidden faults such as steady-state deviation, periodic fluctuation and transient impact existing in a single spindle are accurately recognized. And finally, the system carries out visual early warning through a human-computer interaction interface and provides a predictive maintenance instruction. According to the method, high-precision control of the twist and high consistency of products are achieved, an effective predictive maintenance mechanism is established, and the production quality and the intelligent level are remarkably improved.

The invention discloses a finished product detection machine for chinlon stretch yarn processing, and relates to the technical field of chinlon detection, the finished product detection machine comprises a cabinet body, the top of the cabinet body is fixedly provided with an operation table; the press machine is arranged at the top of the operation table, and the press machine is used for applying pressure to the stretch yarn; the detector is used for detecting and recording parameters and data during operation of the press machine; a chute is formed in the bottom of the inner wall of the console; the driving device is arranged on the inner wall of the sliding groove, and the driving device is used for driving the driving device to move on the inner wall of the sliding groove; the hollow cylinder is fixedly mounted at the top of the driving device, the lantern ring is rotatably mounted on the circumferential surface of the hollow cylinder, and the fixing device on one side far away from the detector moves to drive the stretch yarn to be stretched and straightened, so that the stretch yarn is fixed and straightened, and the measurement reliability of the device is improved.

The utility model discloses a bending-resistant radio frequency coaxial cable, which comprises an inner conductor, an insulating layer, a shielding layer and a sheath layer which are sequentially arranged from inside to outside, the inner conductor is formed by concentrically twisting a plurality of strands of silver-plated copper wire monofilaments; the insulating layer comprises an inner insulating layer and a polytetrafluoroethylene film outer insulating layer; the inner insulating layer is wrapped outside the inner conductor and is formed by sintering a polytetrafluoroethylene tape; the polytetrafluoroethylene film outer insulating layer is wrapped outside the inner insulating layer; the shielding layer comprises an inner shielding layer, a middle layer and an outer shielding layer, and the inner shielding layer is a silver-plated copper strip wrapping layer and wraps the insulating layer; the middle layer is a polyimide aluminum foil composite belt wrapping the inner shielding layer; the outer shielding layer is a silver-plated aramid yarn woven layer and is woven outside the middle layer; the sheath layer is a polytetrafluoroethylene sheath layer. The cable provided by the utility model has the characteristics of high-frequency bending resistance and good environment resistance, and also has excellent electrical transmission performance.

The invention belongs to the technical field of carbon material fibers, and discloses a preparation method of a carbon nanofiber reinforced carbon material fiber fabric, which comprises the following steps: fixing a weakly twisted carbon material fiber tow on an electrostatic spinning nano yarn machine; forming a carbon nanofiber membrane by utilizing electrostatic spinning, uniformly wrapping the carbon nanofiber membrane on a carbon material fiber bundle subjected to weak twisting, then rolling into a shaft, then weaving the rolled fibers into a fabric, and sequentially performing hot pressing and carbonization treatment on the fabric to prepare a carbon nanofiber reinforced carbon material fiber fabric; the weak twisting means that the twisting degree is 5-13 twists per meter. According to the invention, the carbon nanofiber is coated on the carbon material fiber, so that the interface bonding strength between the nanofiber and the carbon material fiber is improved, and then the fabric prepared from the carbon nanofiber is subjected to hot pressing and carbonization treatment, so that the mechanical property, the electrical conductivity and the heat-conducting property of the fabric are further improved; therefore, the composite material has a huge application prospect in the fields of high-performance composite materials, intelligent textiles and the like.

Compositions of matter, methods, and systems for producing fibers, yarns, and fabrics with enhanced thermoregulation properties are provided. The composition may be created from a cellulose solution derived from natural sources, into which nano-sized phase change materials and high-specific heat minerals are incorporated. These additives form a mesoporous structure within the fiber, enabling the capture and retention of the nanomaterials. The method involves spinning this composite solution into yarn, which can be blended with additional fibers to produce a bespoke yarn. This yarn can then be knitted or woven into fabrics that maintain thermoregulation.

The invention provides a glass fiber reinforced plastic grating automatic production device and a glass fiber reinforced plastic grating production process. The glass fiber reinforced plastic grating automatic production device comprises a curing unit, a longitudinal yarn winding unit, a transverse yarn winding unit and a traction assembly. The curing unit is provided with a curing space with a top opening; the longitudinal yarn winding unit is provided with a plurality of first yarn winding columns; the transverse yarn winding unit comprises a plurality of second yarn winding columns; the traction assembly comprises a traction head, and the traction head is used for driving yarn to sequentially wind the multiple first yarn winding columns and the multiple second yarn winding columns along a preset track. According to the automatic production device for the glass fiber reinforced plastic grating, the longitudinal yarn winding unit and the transverse yarn winding unit are located at specific positions, the traction head drives the yarn to be automatically wound on the first yarn winding column and the second yarn winding column along the set track, overall mechanical and automatic production is achieved, the labor intensity of workers is greatly reduced, the production efficiency is improved, and the production cost is reduced. And the glass fiber reinforced plastic grids produced in batches are the same in shape, so that the yield is improved.

The invention discloses a vacuum-assisted pultrusion preforming device for a composite material. The vacuum-assisted pultrusion preforming device comprises a yarn threading plate, a gum dipping tank, a gum extruding roller and a vacuum-assisted preforming mold which are sequentially arranged in the pultrusion direction, wherein fiber bundles penetrate through the yarn threading plate in a layered mode, the gum dipping tank is used for containing resin, and the gum extruding roller is used for extruding redundant resin. The vacuum auxiliary preforming mold is provided with a preforming mold cavity, a vacuum cavity is formed in one section of the preforming mold cavity of the vacuum auxiliary preforming mold, an air exhaust hole is formed in the upper portion of the vacuum cavity, and a semi-permeable membrane allowing gas to pass through but blocking resin to pass through is arranged at the air exhaust hole. And the air exhaust hole is externally connected with a vacuumizing device. The vacuum-assisted pultrusion preforming device can effectively discharge microbubbles in resin and fiber bundles, effectively control uniform distribution of the content of the resin and remarkably promote full infiltration of high-viscosity resin to fibers.

The invention relates to the technical field of broken yarn detection, and discloses a cruise type ring spinning broken yarn detection system based on machine vision, which integrates a deep convolutional neural network (DCNN), a long short-term memory network (LSTM) and a decision tree (DT) algorithm, and aims to improve the automation level and production efficiency of ring spinning production. The system comprises a yarn defect detection module for accurately identifying yarn defects by using a DCNN algorithm; the yarn state prediction module is used for predicting the future state of the yarn through an LSTM algorithm and providing support for preventive maintenance; the yarn state classification module is used for comprehensively classifying yarn states by adopting a DT algorithm; and the control execution module executes corresponding operation according to the classification result. According to the method, high-precision detection, state prediction and intelligent decision making of yarn defects can be achieved, the problems that a traditional detection method is low in efficiency, inaccurate in detection and the like are effectively solved, the production cost is reduced, and the yarn quality is improved.