1814 results about "Fiber bundle" patented technology

The invention discloses a brain disease classification method and system. Precise diagnosis is realized through multi-modal data fusion and dynamic modeling. The method comprises the following steps: collecting multi-modal brain image information and cognitive behavior information of a user; performing dynamic function connection analysis on the resting state functional magnetic resonance time sequence signal to obtain a time-varying brain network feature matrix, and performing white matter fiber bundle topology reconstruction on a structure connection matrix; constructing a four-dimensional correlation tensor by using the time-varying network features, the structural connection weights and the anatomical features through a neurodynamic model; performing multi-task learning on the four-dimensional correlation tensor based on a time-varying graph neural network model, and outputting a quantitative diagnosis result; and finally generating a clinical classification report integrating the individualized brain network remodeling target, the disease progress risk layering and the treatment response prediction. By dynamically fusing the structure and functional features, comprehensive characterization of the pathological mechanism of the brain disease is realized, and decision support with both accuracy and interpretation is provided for clinical diagnosis.

The invention relates to a method for establishing and optimizing a multi-scale prediction model for constitutive parameters of a fiber reinforced composite material. Comprising the following steps: constructing a fiber-matrix microscopic RVE model, applying a boundary condition and a load, determining a failure criterion, and calculating equivalent mechanical parameters of a fiber bundle; a fiber bundle-matrix mesoscopic RVE model is generated, fiber bundle equivalent mechanical parameters serve as material attributes of fiber bundles in the mesoscopic RVE, a viscoelastic model is adopted for a matrix, and fiber reinforced material unit cell equivalent mechanical parameters are calculated; constructing a macroscopic fiber reinforced composite material finite element model, endowing a macroscopic model with unit cell equivalent mechanical parameters, defining an orthotropic material card, simulating an explosion impact process by adopting an explicit dynamics algorithm, outputting structural displacement, a damage area and stress distribution, and comparing calculation and test data. And correcting the microscopic RVE model and the mesoscopic RVE model through reverse optimization iteration to obtain a final macroscopic prediction model. The explosion-proof performance of the fiber composite structure is remarkably improved.

The invention provides a cracking equipment data processing method combined with digital twinning, which comprises the following steps: acquiring initial state data and environmental data of a carbon fiber composite material in a cracking furnace, and performing time synchronization processing to obtain a time consistency data set; extracting pyrolysis characteristic parameters of interaction between the carbon fiber bundle and the matrix from the spatial registration data set, and calculating a reaction rate and pyrolysis behavior change of a microscopic scale of a fiber matrix interface to obtain a pyrolysis characteristic parameter set; if a deviation exists between the prediction result and a preset target carbon powder quality index, determining a heating power distribution adjustment amount and a change trend of an air inlet valve opening degree based on a deviation degree, and obtaining a control parameter adjustment set of the cracking furnace; and carrying out constraint and smoothing processing on the control parameter adjustment set to obtain a control set value, formatting the control set value into a closed-loop feedback instruction, and updating the closed-loop feedback instruction to a cracking furnace control system to obtain adjusted pyrolysis operation state data.

The invention provides a recycled carbon fiber quality detection method based on machine vision, and the method comprises the steps: obtaining a surface image of a carbon fiber bundle through a machine vision method, and carrying out the preprocessing of the image, including image denoising and enhancement; for the preprocessed surface image of the carbon fiber bundle, extracting the morphological characteristics of the fiber bundle, including fiber bundle surface texture and fiber orientation distribution, for representing the morphological change of the fiber bundle under the reciprocating bending stress; acquiring a scattered light intensity distribution image on the surface of the carbon fiber bundle, and extracting spatial distribution characteristics of scattered light intensity through an image segmentation method, including uniformity and continuity of scattered light intensity distribution; if the fracture risk exists, positioning the identified high-risk area, and collecting image data of the high-risk area; according to the high-risk area image data, scattered light intensity distribution characteristics are extracted, a quantitative relation between scattered light intensity space distribution and the fiber bundle fracture risk is established, and a quantitative index for evaluating the fiber bundle fracture risk is obtained.

The invention relates to the technical field of text feature fusion, in particular to an adaptive text guide fiber bundle feature fusion method and system based on a large language model. The method comprises the steps of performing multi-scale potential attention fusion based on features after fiber bundle feature fusion, including potential multi-scale feature embedding, inter-scale attention modeling, multi-scale fusion and residual enhancement, and attention regularization and scale consistency constraint; performing pseudo token sequence generation and aggregation based on features after multi-scale potential attention fusion, including pseudo token embedding representation, token serialization and slice mapping, semantic consistency and context modeling, and sequence aggregation and decodable interface generation; and processing the multi-modal fusion features subjected to pseudo token sequence generation and aggregation by using a large language model to generate natural language output. The invention provides an adaptive text-guided fiber bundle feature fusion method based on a large language model, which realizes efficient collaboration and semantic interpretable fusion of multi-modal information.

The invention discloses a preparation method of a natural fiber prepreg with an improved impregnation effect, and relates to the technical field of composite material preparation, the method comprises the following steps: carrying out synergistic modification through fiber surface plasma activation and silane grafting, and combining a gradient pressure-temperature coupling impregnation system and ultrasonic-assisted permeation to prepare the natural fiber prepreg with the improved impregnation effect. And gradient filling and interface chemical bonding strengthening of the resin in the fiber bundle are realized. The core process comprises the following steps: pretreating fibers to improve surface energy and roughness, introducing a reactive diluent and a block copolymer into a resin system to regulate and control viscosity and transport capacity, constructing a pressure gradient by a multi-stage compression roller to drive resin to permeate into a bundle core, promoting uniform impregnation by infrared temperature control and ultrasonic cavitation, and finally obtaining uniform resin distribution and porosity lt. The interlayer shear strength is gt; and the high-performance prepreg is stable in batch under the pressure of 45 MPa. Reliable technical support and process guarantee are provided for large-scale engineering application of the high-performance natural fiber composite material.

The invention relates to the technical field of cables, and discloses an anti-torsional fatigue and corrosion-resistant wind power cable and a manufacturing process thereof, the anti-torsional fatigue and corrosion-resistant wind power cable comprises a three-phase cable core main body, a dynamic compensation anti-torsion layer, a multifunctional corrosion-resistant barrier layer and an outer sheath, the three-phase cable core main body comprises a stranded conductor, a filling inner layer and an insulating layer; the dynamic compensation anti-torsion layer comprises an incongruous spiral supporting layer and a shape memory alloy compensation layer, and the incongruous spiral supporting layer comprises aramid fiber bundles and a nickel-cobalt alloy wire woven mesh; the multifunctional anti-corrosion barrier layer is arranged on the outer side of the dynamic compensation anti-torsion layer and sequentially comprises an anti-corrosion barrier bottom layer, an anti-corrosion barrier middle layer and an anti-corrosion barrier bottom layer surface layer from inside to outside. Through the gradient composite structure design, the problem of failure of a traditional wind power cable under long-term dynamic load and severe environment is effectively solved, and the torsional fatigue resistance, the corrosion resistance and the environmental adaptability are remarkably improved.

The invention discloses a unidirectional graphene fiber carbon / carbon composite material as well as a preparation method and application thereof, and belongs to the technical field of carbon / carbon composite materials. The preparation method comprises the following steps: adding phenolic resin powder into absolute ethyl alcohol to prepare a phenolic resin dipping solution; adding the graphene fiber bundle into a phenolic resin impregnation solution for impregnation under the conditions of normal temperature and normal pressure to prepare a pre-impregnated graphene fiber bundle; carrying out stepped heating curing on the pre-impregnated graphene fiber bundle, and then carrying out carbonization to prepare a pre-treated graphene fiber bundle; the pretreated graphene fiber bundles are arranged in parallel and stacked in the thickness direction, pressure is applied for fastening, and a one-way prefabricated body is obtained; and carrying out heat treatment on the unidirectional preform, densifying by adopting an isothermal chemical vapor infiltration process, and then carrying out graphitization treatment to obtain the unidirectional graphene fiber carbon / carbon composite material. The graphene fiber is pretreated to fill pores of the graphene fiber, so that the densification efficiency of the graphene fiber preform is improved, and finally, the heat conduction and mechanical properties of the composite material are enhanced.

The invention discloses an intelligent detection system and method for the fracture specific strength of cotton fibers, and relates to the technical field of cotton fiber detection, and the intelligent detection system for the fracture specific strength of the cotton fibers comprises a sampling module, an image acquisition module, a resistance measurement module, a strength measurement module and a central control module. The sampling module is used for sampling on a cotton fiber sample and constructing the sample into a to-be-detected cotton fiber bundle; the image acquisition module is used for acquiring image information of a to-be-detected cotton fiber bundle; the resistance measurement module is used for measuring resistance information of the to-be-detected cotton fiber bundle; the strength measurement module is used for snapping the to-be-detected cotton fiber bundle from a fracture area of the to-be-detected cotton fiber bundle and recording real-time tension information and displacement information of the fracture area; the central control module is in communication connection with the image acquisition module, the resistance measurement module and the strength measurement module. According to the invention, the detection of the cotton fiber fracture specific strength in a non-standard laboratory environment can be realized.

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 discloses a structural XCT fiber bundle identification and segmentation method based on improved U-Net, which is used for identifying fiber bundles in XCT slices of a woven CMC structural member, and the network is applied to the CMC field for the first time. According to the method, the down-sampling operation of the original U-Net network is greatly modified, the characteristic extraction capability of the model on the fiber bundle is improved, the parameter quantity of the model is reduced, and the network model can be trained more stably, so that the efficiency of segmenting and identifying the fiber bundle by the model is improved. Wherein an Inception structure is adopted, so that the visual field of the model is widened, and the recognition and segmentation capability of the model on fiber bundles with different sizes and boundaries thereof in CT is enhanced. And residual connection is added in an original model by adopting a ResNet structure, so that gradient propagation in training is ensured, the depth of the improved U-Net is deepened, and the accuracy of segmentation recognition is improved. And the bottleneck structure is adopted, so that the parameter quantity of the whole model is greatly reduced, the training time is shortened, and the recognition and segmentation speed is increased.

The invention relates to the field of thermal fault early warning of machine room inspection robots, in particular to a multi-modal sensing thermal fault early warning method of a machine room inspection robot, which comprises the following steps: acquiring infrared thermal image, acoustics, vibration and gas concentration data through a multi-modal sensor array, and generating voxelization temperature distribution; according to the method, temperature features are extracted through wavelet transform and a fractional Brownian motion algorithm and are fused into an equipment global temperature feature set; constructing noise, vibration and gas concentration tower extraction auxiliary features, and combining non-extensive entropy and a graph attention model to be fused into a high-dimensional fault feature pool; building a fiber bundle model by taking the machine room topology as a base space, and locating a thermal fault after optimizing parameters by a simulated annealing algorithm; and finally, a dynamic thermodynamic diagram and the like are generated through digital twinning, so that accurate early warning is realized.

The invention discloses a numerical simulation method for simulating resin flow in a molding process of an intelligent composite material with an embedded optical fiber. The method comprises the following steps: generating a fiber bundle model through a Monte Carlo random algorithm; establishing a mesoscopic model for embedding optical fibers inside or outside the fiber bundle; establishing a resin flow control equation based on a phase field method in the finite element model; applying pressure load to an inlet and an outlet of the model, and submitting finite element calculation; the velocity field and the pressure field obtained through simulation are checked, and the influence rule of the optical fiber on the resin infiltration fiber bundle is analyzed. The method has good guiding significance for optimizing the intelligent composite material forming process and reducing forming defects.

The invention relates to the technical field of stereotactic surgery, and discloses a neurosurgery stereotactic surgery positioning system based on multi-modal image fusion, which comprises a multi-modal image acquisition module, an intelligent registration fusion module, a three-dimensional modeling module, a surgery navigation engine, an augmented reality interface and a dynamic calibration module, a cross-modal elastic registration module is arranged, when multi-modal image fusion is carried out, the spatial matching degree of a functional image and a structural image is detected in real time through a nonlinear deformation compensation algorithm, and when registration deviation exists between white matter fiber bundles and tumor boundaries, an elastic deformation compensation field is dynamically generated by a system, so that the positioning accuracy of a neural functional area is improved; and by arranging the dynamic drift correction module, the brain tissue displacement change is perceived in real time based on laser surface scanning during deep target navigation, precise correction of the pose of the surgical instrument is realized, and the positioning reliability of the deep target is ensured.

The invention provides a real-time yarn width detection method for carbon fiber prepreg yarn production, and relates to the technical field of carbon fiber manufacturing, and the method comprises the steps: arranging a binocular camera and a structured light projection unit on a production line, collecting an image sequence, extracting edge features, calculating a fiber bundle contour, and combining depth information to establish a three-dimensional point cloud model; the point cloud model and the calibration reference plate are projected to a standard plane fitting contour curve after being subjected to space registration; real-time width features and tension features are extracted, and an adaptive control limit value is constructed; and judging the defect type through trend analysis and deviation evaluation. According to the invention, high-precision real-time monitoring of the width of the prepreg yarn is realized, and the product quality stability is improved.

The utility model relates to a shaft grounding ring convenient to install, which comprises an annular shell, an upper support plate, a lower support plate and a conductive fiber bundle, one end of the conductive fiber bundle is provided with an installation piece, the lower support plate is provided with at least two grooves, the installation piece is arranged in the grooves, the upper support plate is arranged on the upper side of the lower support plate, and the lower support plate is arranged on the lower side of the annular shell. The upper supporting plate and the lower supporting plate are both arranged in the annular shell, the annular shell is provided with a fixing part protruding inwards, and the fixing part abuts against the upper supporting plate. The problems that an existing carbon fiber grounding ring is inconvenient to install and not firm in structure are solved.

The invention relates to the technical field of composite material preparation, in particular to a fiber tow pretreatment system. The fiber tow pretreatment system comprises an impregnation tank and a treatment device, impregnation liquid is contained in the impregnation tank, the impregnation liquid comprises liquid and resin particles, the impregnation tank is used for impregnating fiber tows through the impregnation liquid, and the resin particles are attached to the fiber tows impregnated with the impregnation liquid; the processing device is arranged on the downstream side of the dipping tank in the advancing direction of the fiber tows, the processing device is used for drying liquid on the dipped fiber tows and can convert resin particles attached to the fiber tows into target resin particles, and the target resin particles are located between adjacent fiber filaments; and the adjacent fibers are spaced to form a flow guide channel. According to the design, when the fiber tows treated by the fiber tow pretreatment system are impregnated with resin, the resin can better enter the fiber tows through the flow guide channels, the infiltration effect is improved, and the quality of finished products is guaranteed.

The invention discloses a continuous bamboo fiber preparation method, and belongs to the technical field of bamboo fiber preparation. The blasted bamboo wood is subjected to enzymolysis; the bamboo wood subjected to enzymolysis is conveyed into a separator to be continuously separated, and fiber bundles are obtained; preparing a fiber suspension from the fiber bundles, and screening to obtain purified fiber bundles; the purified fiber bundles are drafted; freezing the drafted fiber bundles, then unfreezing the fiber bundles, and then drying the fiber bundles to obtain the continuous bamboo fibers. By adopting the continuous bamboo fiber preparation method disclosed by the invention, the bamboo fibers with excellent performance, high purity and good uniformity can be prepared, the problems of poor fiber quality, insufficient stability and the like existing in a traditional method are effectively solved, the production efficiency can be improved, the environmental pollution and energy consumption are reduced, the production cost is reduced, and the method is suitable for industrial production. And high performance, continuity and green economy are considered.

The invention relates to the field of fiber spreading of fiber prepreg tapes, in particular to a dual-mode amplitude-frequency-adjustable fiber bundle transverse fiber spreading device which comprises a frame assembly, a static fiber spreading roller set, a dynamic fiber spreading roller set, a driving system, an amplitude adjusting unit and a frequency control unit. Efficient diffusion of the fiber bundles is achieved through independent amplitude-frequency regulation and control, and different process requirements of materials such as carbon fibers and glass fibers are met. On the basis of accurate regulation and control of vibration parameters (frequency and amplitude) and a roller dual-mode (rotating / fixing) switching mechanism, the transverse diffusion effect of the fiber bundle is enhanced by improving a normal load in a fixed mode, a friction interface is optimized in a rotating mode to reduce mechanical wear, and the width of the carbon fiber bundle is expanded to 3-5 times of the original size.

The invention relates to the technical field of model generation, in particular to a three-dimensional digital model generation method and system based on a glass fiber reinforced plastic streamline headstock. The method comprises the following steps: testing the whole hot-press molding process of a standard glass fiber reinforced plastic sample to obtain the thermal expansion coefficient of the glass fiber reinforced plastic material; constructing a glass fiber reinforced plastic shrinkage tensor field based on the glass fiber reinforced plastic material thermal expansion coefficient; performing paving layer path topological relation construction on the headstock fiber paving layer to obtain a headstock paving layer path diagram; performing path-process coupling deformation prediction on the headstock fiber bundle based on the headstock layering path diagram to obtain layering path deformation prediction data; and obtaining an initial vehicle head three-dimensional model. According to the method, the risks of superspeed train rendezvous pressure wave exceeding and sensor false triggering are remarkably reduced, the design precision is integrally improved, the iteration period is shortened, and the wind tunnel test cost is saved.

A rubbing and arranging device for false eyelash fibers relates to the field of false eyelash preparation and comprises a working table, a linear conveying device is arranged on the working table, an arranging plate is arranged on the linear conveying device, and an eyelash rubbing device and an eyelash aligning device which are matched with the arranging plate on the linear conveying device are arranged on the working table. During working, a bundle of false eyelash fibers is placed on the upper side of the arrangement plate, the linear transfer device drives the arrangement plate to move to the eyelash flattening device, the eyelash flattening device is matched with the arrangement plate to flatten and uniformly distribute the false eyelash fiber bundles on the upper side of the arrangement plate, and then the linear transfer device drives the arrangement plate to move to the eyelash aligning device. The eyelash aligning device aligns the false eyelash fiber bundles on the arrangement plate in the front-back direction, and rubbing arrangement of the false eyelash fibers is completed. The false eyelash fiber rubbing and arranging device achieves automatic rubbing and arranging of false eyelash fibers, can save labor force, improves production efficiency, and reduces production cost.

The invention provides a robot additive manufacturing device and method for ultrasonic-assisted continuous preparation of a composite fiber ceramic composite, and belongs to the field of composite fibers.The robot additive manufacturing device comprises the steps that a first feeding mechanism outputs a fiber bundle; the heating cavity is filled with a molten resin material; the first ultrasonic mechanism and the second ultrasonic mechanism are oppositely arranged on two inner walls of the heating cavity; the first ultrasonic mechanism and the second ultrasonic mechanism are symmetrically arranged on the two sides of the fiber bundle transmission direction, and the ultrasonic wave emission direction of the first ultrasonic mechanism and the second ultrasonic mechanism is the perpendicular direction of the fiber bundle transmission direction. When passing through the heating cavity, the fiber bundles are subjected to the effect of ultrasonic waves, fiber filaments in the fiber bundles are scattered and evenly distributed, the fiber filaments are wrapped by the resin material, and then the high-performance fiber-reinforced ceramic composite material is prepared after high-temperature ceramic treatment. Through the synchronous ultrasonic assistance-mechanical arm forming technology, the problems that in the prior art, due to the fact that the resin fluidity is poor and fibers are highly agglomerated, the fibers are difficult to evenly wrap by the resin, obvious pores appear in the subsequent ceramic treatment process, and fiber distribution is uneven are solved.

The invention discloses a high-strength photovoltaic module structure and a preparation method thereof.The high-strength photovoltaic module structure comprises a core structure used for improving the elasticity modulus, fiber reinforcing layers are arranged on the end faces of the two sides of the core structure, the fiber reinforcing layers arranged on the end faces of the two sides are connected at the side edge parts, and fiber winding surrounding parts are formed on the side edges of the core structure; all the side faces of the periphery of the core structure form full-connection type fiber binding reinforced fixing. Fiber winding is carried out on the side edge of the honeycomb structure photovoltaic module, fibers in a lower panel of the photovoltaic module are connected with fibers in an upper panel of the photovoltaic module, the bending rigidity of the photovoltaic module can be further enhanced, and the fibers in the lower panel of the photovoltaic module and the fibers in the upper panel of the photovoltaic module are connected in the mode that the fibers are wound on the side edge. The bending rigidity of the photovoltaic module is effectively enhanced, and the problem that the improvement of the bending rigidity is limited due to weak side edges of the module in the prior art is solved.

The invention discloses a method and a system for constructing a fiber scale parameterized model of a single-sided weft-knitted fabric, relates to the field of dynamic simulation of weft-knitted fabrics, and solves the problems that an existing knitted fabric simulation system only displays an embroidery pattern in a yarn scale or a fabric scale and lacks a three-dimensional dynamic effect based on a fiber level and the like. The method comprises the steps that the weft-knitted fabric is formed by mutually intermeshing coils, and the number and coordinates of coil control points are set; the simulation of different knitting effects is realized by adjusting the positions of coil control points; based on the single fiber curve model, using a random jitter algorithm to carry out modeling on the fiber bundle, and constructing an untwisted fiber bundle model and a twisted fiber bundle model; a branch model is constructed to simulate the hairiness form of the weft-knitted fabric, and dynamic regulation and control of hairiness characteristics are achieved by adjusting the number of breakpoints, the branch length range and the disturbance amplitude core parameters. Environment parameters are set, an OpenGL illumination function is used for representing the stereoscopic impression of the weft-knitted fabric model, and after the weft-knitted fabric model is rendered, the model is output.

The present invention belongs to the technical field of functional composite fibers, and discloses a wear-resistant nanofiber-reinforced and protected graphene fiber, a preparation method thereof and an application. The wear-resistant nanofiber-reinforced and protected graphene fiber comprises a graphene fiber bundle and nanofibers. The nanofibers coat the graphene fiber bundle in the form of a three-dimensional porous network to form a stress buffer layer; wear-resistant particles are uniformly loaded inside the three-dimensional porous network. The preparation method is as follows: fixing the surface-pretreated graphene fiber on an electrospinning nanofiber yarn machine, forming a nanofiber membrane by electrospinning and uniformly wrapping it on the surface-pretreated graphene fiber, then winding it into a roll, and then performing a hot roll treatment on the wound fiber bundle to obtain the wear-resistant nanofiber-reinforced and protected graphene fiber. The application is: used for weaving to obtain a graphene fiber fabric. The fiber prepared by the present invention and the fabric woven therefrom have excellent mechanical properties, wear resistance, electrical conductivity and thermal conductivity at the same time.

The invention relates to the technical field of basalt fiber reinforced composite material pipelines and preparation methods thereof, and discloses a pipeline named as a basalt fiber reinforced composite material pipeline and a preparation method thereof and a preparation method thereof. The invention aims to overcome the defects of continuity, interface bonding and mechanical properties of the conventional basalt fiber reinforced composite material pipeline. The pipeline is composed of a lining layer, a basalt fiber winding reinforcing layer and an outer protective layer, the reinforcing layer is formed by compounding basalt fiber bundles subjected to surface treatment and a resin matrix, and the reinforcing layer is of a multi-layer structure with different winding angles. The preparation method comprises the following steps: roughening the inner lining layer, infiltrating and accurately winding the fiber bundles, performing multi-section curing and forming the outer protective layer. According to the scheme, the macroscopic mechanical property of the pipeline is remarkably improved, the interface combination of fibers and a matrix is optimized, the integrity of the fibers is kept, efficient preparation is achieved, and the pipeline has the advantages of being excellent in corrosion resistance and ultraviolet resistance, long in service life and the like.

The invention relates to the technical field of sound-absorbing board production equipment, and discloses a sound-absorbing board production raw material fiber carding device which comprises a rack and an equipment shell, cotton feeding plates are sequentially arranged on the rack in the raw material advancing direction, and the sound-absorbing board raw material fiber carding device is movably connected with the equipment shell through a movable connecting mechanism. Rotation of the carding roller is converted into high-frequency axial reverse reciprocating motion and instant collision vibration of the assembly discs at the two ends, inverted-V-shaped staggered needle forests hinged between the assembly discs are driven, and transverse rubbing action is executed while the needle forests rotate in the circumferential direction along with the roller. According to the invention, by matching with the progressive compression and fiber fan-shaped expansion effect formed by the inverted V-shaped needle forest layout and the centrifugal acceleration inclined airflow to accurately purge the roots of the needle forests, powerful separation kinetic energy and a clear escape path are provided for dust impurities wrapped in fiber bundles, the deep removal rate of fine impurities is obviously improved, and the dust removal efficiency is improved. Meanwhile, the fiber length and integrity are effectively protected, and the fiber breaking rate is reduced, so that the acoustic performance and quality of a final acoustic board product are guaranteed.

The invention discloses continuous melt impregnation equipment based on dynamic pressure regulation, which comprises a rack, a fiber band cleaning mechanism and an impregnation mechanism are arranged in the rack, the fiber band cleaning mechanism comprises a driving assembly and two height adjusting assemblies, and the impregnation mechanism comprises a melt bath tank used for accommodating matrix resin in a molten state, the device comprises at least one heating device and at least one resin temperature sensor. The invention relates to the technical field of fiber compounding. According to the continuous melt impregnation equipment based on dynamic pressure adjustment, a precise servo linear actuator is combined with a force sensor and a displacement sensor, so that an impregnation pressure adjusting mechanism with high response and high precision is formed. The mechanism can adjust a roller gap with micron-level precision and respond to a control instruction with millisecond-level response speed, so that the real-time performance and accuracy of impregnation pressure adjustment are ensured, and the system can change according to different fiber bundle characteristics and resin viscosity.

The invention provides a negative Poisson's ratio lattice-carbon fiber bundle synergistically reinforced composite structure and a preparation method, and belongs to the technical field of new energy automobile impact protection structures. The negative Poisson's ratio lattice-carbon fiber bundle synergistically-reinforced composite structure is characterized in that a negative Poisson's ratio lattice is composed of a plurality of concave negative Poisson's ratio cell elements, in each concave negative Poisson's ratio cell element, two horizontal cell walls and four inclined cell walls form a closed concave hexagonal structure, and the left side and the right side of the outer portion of each concave hexagonal structure are respectively provided with a negative Poisson's ratio lattice and a negative Poisson's ratio lattice; a horizontal connecting cell wall is arranged at the joint of each of the two inclined cell walls; the base body is located in a gap of the negative Poisson's ratio crystal lattice; the plurality of carbon fiber bundles are dispersed in the matrix, and the carbon fiber bundles are mutually isolated. The negative Poisson's ratio lattice and carbon fiber bundle double-reinforcement phase is introduced, the synergistic reinforcement effect of reinforcement phases of different scales is exerted, and reinforcement is carried out in the aspects of limiting matrix deformation flow and improving material damage and failure.

The utility model relates to the technical field of fiber wet spinning equipment, in particular to a water-soluble fiber washing and oiling device, which comprises a washing tank, a plurality of groups of rubbing components are arranged in the washing tank, each rubbing component comprises a yarn supporting rod and a yarn pressing rod, the yarn supporting rods are fixedly arranged in the washing tank, and tows pass through the upper surfaces of the yarn supporting rods. The yarn pressing rod is arranged in the washing tank in a sliding mode through the lifting assembly, and the tows pass through the lower surface of the yarn pressing rod. According to the utility model, the technical problem of poor fiber dispersity caused by poor treatment effect when the existing post-treatment device is used for treating endless tow semi-finished products can be solved.