41543 results about "Compositermes" patented technology

The invention belongs to the technical field of gel materials, and particularly relates to aerogel powder for polyolefin modification and a preparation method and application thereof. The preparation method of the aerogel powder comprises the following steps: (1) preparing aramid nanofiber dispersion liquid; (2) preparing a polypyrrole coated aramid nanofiber dispersion liquid; (3) mixing polyamide acid and the polypyrrole coated aramid nanofiber dispersion liquid, and then carrying out partial imidization and solvent exchange to prepare hydrogel; and (4) carrying out freeze drying, thermal imidization and crushing to obtain the aerogel powder for polyolefin modification. The aerogel powder is a porous solid material formed by forming one-dimensional composite fibers from aramid nanofibers and polypyrrole and combining the one-dimensional composite fibers with polyimide resin. The aerogel powder and polyolefin resin are compounded to obtain the polyolefin resin composite material with high strength and antistatic property, and the polyolefin resin composite material can be widely applied to the fields of pipes, plates, grouting equipment parts, grouting bags and the like.

The invention belongs to the technical field of fiber materials, and particularly relates to a modified aramid nanofiber as well as a preparation method and application thereof. The preparation method comprises the following steps: (1) preparing an aramid nanofiber dispersion liquid; (2) modifying the aramid nanofiber by using POSS; and (3) carrying out in-situ polymerization on polypyrrole on the surface of the aramid nanofiber. POSS (polyhedral oligomeric silsesquioxane) has a relatively large volume exclusion effect, the template effect of long-chain alkyl quaternary ammonium salt can be influenced by scattered adhesion of POSS on the surface of aramid nanofiber, uneven polymerization of pyrrole monomers is caused, and formation of a rough structure on the surface of the fiber is facilitated. According to the invention, the polypyrrole-coated aramid nanofiber with a coarse structure is used as a polyolefin modified material, so that the problem of low interfacial force existing in a common filler is solved, and the polyolefin resin composite material with high strength and antistatic property is obtained and can be widely applied to the fields of pipes, plates, grouting equipment parts, grouting bags and the like.

The invention belongs to the technical field of aerogel materials, and particularly relates to high-performance antistatic aerogel for 3D printing as well as a preparation method and application thereof. According to the invention, inorganic hollow nanoparticles are selected as a nucleating modifier for in-situ polymerization of aniline monomers in a polyamide solution, so that polyaniline-coated inorganic hollow nanoparticles are uniformly dispersed in polyamide, and the aerogel composite material with polyamide as a continuous phase and polyaniline-coated inorganic hollow nanoparticles as a conductive and reinforced phase is formed. The use of the hollow inorganic nanoparticles avoids the problem that the solid inorganic nanoparticles lose the characteristics of the inorganic nanoparticles due to high specific gravity and high surface energy, and easy agglomeration or adsorption with other substances in the preparation process of the solid inorganic nanoparticles. The inorganic hollow nanoparticles are adopted as a nucleating modifier, so that the problems of agglomeration of solid nanoparticles and dispersion in a polyamide matrix are well solved.

The invention belongs to the technical field of polymer preparation, and particularly relates to a curved-surface polyaniline modified 3D printing polyurethane material and application thereof. According to the preparation method, an ice crystal hard template method and a polyether glycol soft template method are combined, so that the microstructure of polyaniline is adjusted, and the curved polyaniline with regular morphology is prepared. The curved-surface arc-shaped structure has a large specific surface area, can form more contact sites with resin when being directly melt-blended with the resin, is beneficial to construction of a conductive path, and is not easy to agglomerate due to the curved-surface structure. The polyaniline with the arc-shaped structure is of a three-dimensional space structure and is directly blended with the resin to form a randomly arranged conductive network structure, so that the composite material is not easy to break when being impacted, and can be better embedded between the resin to form a stress transfer channel, and a complex three-dimensional network structure is constructed; the mechanical property and the antistatic capability of the product are improved.

The invention discloses spherical aluminum oxide and a silicone rubber heat conduction composite material thereof, and belongs to the technical field of functional polymer materials. The spherical aluminum oxide is subjected to surface modification through an amphiphilic fluorosilicone heat conduction interface synergist; comprising the following raw materials in parts by weight: 100-200 parts of vinyl silicone oil, 1-6 parts of side hydrogen-containing silicone oil, 1-6 parts of end hydrogen-containing silicone oil, 0.2-2 parts of a platinum catalyst, 0.01-0.1 part of an inhibitor and 2500-6000 parts of amphiphilic fluorine-silicon heat-conducting interface synergistic spherical aluminum oxide powder. Through surface modification of spherical aluminum oxide, the prepared silicone rubber heat-conducting composite material realizes synergistic gain of heat conduction, insulation and flexibility, and can meet the requirements of multiple fields such as power battery pack heat dissipation gaskets, high-frequency circuit packaging and wearable equipment.

The invention relates to the technical field of high-pressure resin transfer molding (HP-RTM), in particular to an intelligent forming system and equipment based on thermal-mechanical coupling carbon fiber composites.The intelligent forming method comprises the steps that real-time temperature field and strain field data are collected through a partition temperature control mold, thermal-mechanical coupling state parameters are obtained through signal filtering and abnormal value removing processing, and the thermal-mechanical coupling state parameters are obtained through a thermal-mechanical coupling module; an ultrasonic probe array is combined to detect internal defect distribution to evaluate a forming quality index, process parameters are dynamically compensated according to the quality index, and a deep learning model is constructed to optimize a forming process. According to the invention, real-time monitoring and closed-loop control of multi-physics field coupling can be realized, the defect rate is obviously reduced, the debugging period is shortened, the production efficiency is improved, and an intelligent solution is provided for carbon fiber composite material forming.

The present application belongs to the technical field of material processing, and relates to a mold-free mirror image filament laying method and a mold-free mirror image filament laying system. The method lays a filament ribbon in a mirror image symmetry, without a mold, thereby improving production flexibility and efficiency. The method acquires the temperature and pressure of the filament ribbon in real time, calculates the output power of a heater and the modification value of a filament laying end motion mechanism path by using temperature and pressure differences, and optimizes controller parameters through reinforcement learning, so as to realize stable control of the temperature and pressure. The system comprises a hardware part and a control system. The hardware part includes pressure and heat source components. The control system adjusts through real-time feedback to ensure the quality of filament laying. The present application solves the problem that the temperature and pressure are difficult to accurately control in the process of mold-free mirror image filament laying, and improves the performance of composite products.

The invention discloses a positive electrode material for a zinc-bromine flow battery and a preparation method and application thereof, and belongs to the technical field of zinc-bromine flow batteries, the preparation method comprises the following steps: crushing and sieving an active carbon source, adding the active carbon source into a graphene oxide aqueous dispersion, stirring, centrifuging, removing supernate, drying, mixing with an activating agent, and activating in an inert atmosphere; washing to be neutral, drying and sieving to obtain a graphene / activated carbon composite material; and attaching the graphene / activated carbon composite material to a carbon-plastic bipolar plate to obtain the positive electrode material for the zinc-bromine flow battery. A graphene / activated carbon composite system is combined with a high-conductivity network, graded holes and surface functional groups, so that the reaction kinetics bottleneck of a traditional carbon material Br2 is broken through.

This application relates to an EPP material and a folding mat using this EPP material, which relates to the field of EPP material technology. The EPP material is formed into a plate by welding EPP particles, and the surface of the plate is coated with a hydrophobic antibacterial paint. The raw materials for preparing the EPP particles include 80-100 parts by weight of polypropylene resin, 1-3 parts by weight of a nucleating agent, 6-8 parts by weight of a modified graphene composite material, 5-10 parts by weight of a flame retardant, 5-15 parts by weight of a reinforcing agent, and 0.5-1.5 parts by weight of a surfactant. The raw materials for preparing the modified graphene composite material include hydrophobic modified graphene oxide, hydrophobic antibacterial nano-zinc oxide, and a modified ammonium polyphosphate coupling agent. The folding mat using this EPP material includes an EPP material, a surface layer, and a sewing thread, and the surface layer and the EPP material are fixedly connected by the sewing thread. This application has the effect of improving the flame retardancy, waterproofness, and antibacterial properties of EPP material, and the resulting tatami mat is environmentally friendly, comfortable, and has a good user experience.

The invention discloses a textile production defect detection method and system based on image processing, and belongs to the field of textile defect detection. According to the method, the point cloud data is generated by collecting the surface deformation stripes, and the penetrability reflection signal containing the sound wave propagation time is obtained through the multi-frequency ultrasonic probe. Denoising the point cloud data and then positioning a surface deformation candidate area based on a curvature gradient and a normal vector deflection angle; and an internal abnormal region is determined by separating and extracting a reflection wave amplitude value and a time delay parameter through an ultrasonic frequency band. And matching the surface point cloud coordinates with the ultrasonic propagation time by adopting an iterative nearest point algorithm to establish feature association between the normal vector deflection angle and the reflected wave amplitude. And dynamically distributing fusion weights for the surface features and the internal features according to the curvature gradient change rate and the amplitude attenuation rate to generate a multi-modal defect distribution diagram. And geometric shape and reflection intensity parameters are extracted and matched with a preset defect template to realize type and position judgment, and the method can be suitable for production defect detection of the thick textile with a multi-layer composite material structure.

The invention belongs to the technical field of high polymer material design and intelligent manufacturing, and discloses a machine learning driven epoxy resin based composite material thermal-mechanical property aided design method, which comprises the following steps: S1, data acquisition and feature construction; s2, performing feature screening; s3, constructing and training an interpretable prediction model; s4, carrying out reverse design and optimization; and S5, performing closed-loop verification and updating. According to the method, the quantitative relation of structure-process-performance is constructed through an interpretable machine learning model, and the contribution mechanism of each factor is revealed by means of SHAP analysis. And finally, reversely designing an optimal epoxy resin monomer structure and a matched curing process according to the performance target. The limitation of a traditional trial and error method is broken through, collaborative optimization of the material structure and the forming process can be achieved, and the development efficiency of the epoxy resin-based carbon fiber composite material is remarkably improved.

The invention discloses a processing control method and system for a carbon fiber composite transmission shaft, and relates to the technical field of intelligent transmission shaft manufacturing, and the method comprises the steps: dynamically adjusting the control current of a magneto-rheological damper through a PID controller based on a process control parameter set, and recording tension fluctuation and temperature gradient data; inputting tension fluctuation and temperature gradient data into an ANSYS coupling simulation engine, establishing a three-dimensional temperature field model, calculating a resin flow compensation coefficient, generating a temperature-pressure cooperative control curve through an NSGA-III multi-objective optimization algorithm based on the resin flow compensation coefficient, and calculating the resin flow compensation coefficient and the temperature-pressure cooperative control curve according to the resin flow compensation coefficient and the temperature-pressure cooperative control curve. And integrating through a time sequence control engine to generate a solidification control instruction. According to the invention, a multi-source data fusion algorithm is combined with the industrial Internet of Things edge computing gateway, so that accurate monitoring and synchronous processing of the process control parameter set are realized, and the dynamic behavior of the carbon fiber composite material in the processing process is comprehensively reflected.

The invention discloses a sulfuric acid erosion resistant self-repairing geopolymer system and a self-repairing method thereof, and relates to the technical field of composite materials and artificial intelligence. At least one self-repairing unit optimized for sulfuric acid erosion embedded within the geopolymer matrix; the in-situ multipoint pH sensing network is integrated in the geopolymer matrix and is used for monitoring spatio-temporal evolution data of a pH field in a sulfuric acid erosion process in real time; the edge calculation module is used for identifying a preliminary erosion indication according to the received spatio-temporal evolution data of the pH field; and the central AI decision module is used for evaluating an erosion state and predicting a development trend by utilizing an AI model optimized aiming at sulfuric acid erosion according to the identified preliminary erosion indication and the pH field spatio-temporal evolution data, and generating an optimal repair strategy to control the self-repair unit to perform self-repair. According to the invention, intelligent, active and refined protection and life management of the geopolymer in the sulfuric acid erosion process can be realized.

The invention discloses a zinc-iodine battery positive electrode material based on corn straw shell derived porous carbon and a preparation method of the zinc-iodine battery positive electrode material. According to the material, corn straw shells serve as the sole carbon source, an indigenous nitrogen-doped biomass charcoal carrier with a hierarchical pore structure is prepared through pre-carbonization and KOH activation processes, and the material is characterized in that the specific surface area is larger than or equal to 1500 m < 2 > / g, and the micropore proportion is larger than 90%. The iodine is loaded on the carrier (the iodine content is greater than or equal to 45wt%) through a vacuum sublimation method to form the indigenous nitrogen-doped biomass charcoal / iodine composite material. According to the positive electrode material, through the synergistic effect of physical confinement and pyridine nitrogen chemical adsorption, the multi-iodide shuttle effect is effectively inhibited, so that the capacity retention rate of the zinc-iodine battery is greater than or equal to 93% after 40000 cycles under the current density of 2A g <-1 >, and the capacity retention rate is greater than 45% under the rate of 10A / g. The method has double benefits of agricultural waste resource utilization and high-performance energy storage device development.

The invention relates to an optical fiber implantation monitoring method and device for composite material pressure-bearing equipment, and belongs to the technical field of composite material structure monitoring and intelligent sensing. According to the method, a distributed or point type optical fiber sensor and a composite material are synchronously integrated by designing a winding process, so that state parameters such as strain, temperature, pressure and the like of a key area of equipment are monitored in real time. The stability and the precision of the optical fiber in the laying process are ensured by adopting tool structures such as an embedded guide rail and an intelligent pay-off device; the tolerance and the coupling efficiency of the optical fiber are improved by combining the multi-layer structure design of the optical fiber flexible coating glue, the elastic coupling layer and the like; fBG, Brillouin and Raman sensing are fused through a temperature-stress cooperative monitoring system, and high-precision multi-physical field sensing is achieved. The system has the advantages of high integration level, low transformation cost and excellent monitoring performance, and is suitable for on-line health monitoring and intelligent early warning of composite material pressure-bearing equipment such as low-temperature high-pressure hydrogen storage cylinders, carbon fiber V-shaped cylinders and composite material pressure pipelines.

The invention discloses a composite electrode material for removing uranium through photoelectrocatalysis and a preparation method and application of the composite electrode material, and belongs to the technical field of catalytic materials and wastewater treatment.The preparation method of the composite electrode material comprises the following steps that a ZIF-8 material, copper salt and ferric salt are mixed, and a first metal composite material is prepared; reacting the first metal composite material with a KOH solution to prepare a second metal composite material; carrying out carbonization treatment on the second metal composite material, and then carrying out acid treatment by using acid to obtain a bimetallic atom catalytic material; the preparation method comprises the following steps: dispersing a bimetallic atom catalytic material and a g-C3N4 material in a mixed solution containing phytic acid and a Nafion solution to obtain catalyst ink; and coating the catalyst ink on a substrate, and carrying out illumination drying to obtain the composite electrode material. According to the composite electrode material, under the synergistic effect of the bimetallic single atomic cluster catalyst and g-C3N4, respective advantages are fully exerted, and efficient deposition removal of uranium is achieved.

The invention relates to a flame-retardant and heat-insulating aerogel composite material as well as a preparation method and application thereof, and belongs to the technical field of novel building materials. The fiber aerogel is prepared through coaxial electrostatic spinning, an injector containing a polymer spinning solution is connected to a skin layer needle tube connecting port, an injector containing air is connected to a core layer needle tube connecting port, coaxial electrostatic spinning is carried out to prepare micron fibers with skin-core structures, the micron fibers fall on a receiving base material, and the micron fibers with the skin-core structures fall on the receiving base material. A hollow fiber aerogel material with a three-dimensional fluffy structure is obtained, in-situ growth of hydrated nano silicate particles is carried out after thermal crosslinking treatment, the nano silicate particles grow along the fiber surface and cover the micron fiber surface of the hollow fiber aerogel material, and the aerogel composite material is obtained. The hydrated nano silicate particle growth solution comprises polyvinyl alcohol, calcium salt, silicate and aluminum salt. The prepared aerogel composite material has excellent flame retardance and heat insulation performance and is suitable for being used as a building material.

The invention provides a composite material performance prediction and process optimization method based on a neural network, and the method comprises the steps: firstly collecting multi-source data in the preparation and test process of a composite material, carrying out the preprocessing of the data, screening key feature variables as input variables, constructing a feedforward artificial neural network model, and predicting and outputting the performance indexes of the composite material. And training the model, performing iterative optimization on model parameters, and optimizing composite material process parameters by using the optimized model based on a reverse optimization strategy of a genetic algorithm to obtain an optimal process parameter combination. The invention provides a scientific, efficient and reliable tool for design and optimization of composite materials, and particularly has wide application prospects in high-requirement industries such as aerospace and the like.

The invention discloses a carbon fiber composite material surface modification spraying system and a control method thereof. The system comprises a multi-axis robot, a plasma spray gun, a contact angle measuring probe, a 3D line laser scanner, a hyperspectral imager, an environment sensor and a controller. According to the method, the plasma power and the robot speed are adjusted in real time through contact angle measurement and plasma treatment feedback control, so that the CFRP surface can accurately reach a target value, and the coating adhesive force is improved; 3D line laser scanning and hyperspectral imaging are combined, and the posture, the distance, the wet film thickness and the component uniformity of the spray gun are monitored in real time; based on a prediction model fusing a physical model and a neural network, a self-adaptive fuzzy PID control algorithm is adopted, and the coating flow and the track posture of a spray gun are accurately regulated and controlled in real time. The problems of weak coating binding force, uneven thickness, orange peel, sagging and serious coating waste in traditional spraying are effectively solved, and self-adaptive, high-quality and green spraying of workpieces with complex curved surfaces is achieved.

The invention provides a modified basalt fiber, a basalt fiber shielding material and a preparation method, and relates to the technical field of fiber composites.The modified basalt fiber comprises an activated basalt fiber, an adhesion layer and an electromagnetic shielding layer, and the surface of the activated basalt fiber is sequentially coated with the adhesion layer and the electromagnetic shielding layer; the adhesion layer comprises polydopamine; the electromagnetic shielding layer comprises magnetic Fe3O4 nano particles and a graphene nano sheet; the mass ratio of the activated basalt fibers to the polydopamine to the magnetic Fe3O4 nanoparticles to the graphene nanosheets is 1 to (0.4 to 0.5) to (0.6 to 1) to (0.1 to 0.25). According to the basalt fiber shielding material provided by the invention, the conductive particles and the magnetic particles are combined, and by optimizing the material components and proportion, a very good electromagnetic wave absorption and shielding effect can be achieved, a wider frequency band shielding effect can be provided, and electromagnetic radiation in various frequency ranges can be effectively covered.

The invention relates to a silicon-carbon composite material capable of improving the cycling stability of a battery, a preparation method of the silicon-carbon composite material, a negative pole piece and a lithium ion battery. The carbon-silicon composite particle comprises a silicon-carbon inner core and a carbon coating layer, nano-silicon is attached in holes and / or on the surface of a porous carbon matrix to form the silicon-carbon inner core, and the carbon coating layer is coated on at least part of the surface of the inner core; the porous carbon matrix and the carbon coating layer are both doped with halogen. According to the silicon-carbon composite material, the electron conductivity of the silicon-carbon composite material is improved by doping the halogen in the porous carbon matrix inside the silicon-carbon composite material and the carbon coating layer outside the silicon-carbon composite material; and meanwhile, the porous carbon matrix, the inner core composed of the nano silicon and the carbon coating layer are mutually matched and have synergistic interaction, so that the volume expansibility and defects of the silicon-carbon composite material are reduced, and the cycle stability is improved.

The invention relates to the technical field of composite material detection, in particular to a fiber-reinforced thermosetting thermoplastic composite structure interface quality detection method and system.The method comprises the steps that vibration excitation is applied to a target area of the surface of a to-be-detected sample, and the amplitude of the excitation is lower than the damage critical value of a weak bonding interface; a dynamic response signal perpendicular to the interface is collected in a vibration field non-diffusion area of the excitation point of the target area; performing frequency domain transformation on the dynamic response signal, and separating a fundamental frequency component and at least one high-order harmonic frequency component; according to the nonlinear enhancement effect of the high-order harmonic frequency component relative to the fundamental wave frequency component, whether the weak bonding defect exists in the target area or not is judged. According to the method, the technical bottleneck that the dynamic evolution process of the weak bonding defect of the composite material interface is difficult to capture in real time is effectively solved, sensitive response to the microdefect is realized through a nonlinear harmonic characteristic enhancement effect, and the recognition precision of traditional ultrasonic detection is improved.

The invention belongs to the technical field of high-performance composite materials, and discloses a carbon fiber reinforced thermoplastic composite material performance database, a construction method and application thereof, and the method comprises the following steps: S1, database structure construction; s2, experimental sample collection and data standardization; s3, feature engineering and variable reduction; s4, training a machine learning model; s5, constructing and verifying an adaptive model; and S6, data expansion and feedback optimization. According to the method, material performance prediction and formula parameter reverse design under target performance are realized through systematic acquisition and normalization processing of three types of data of material components, preparation process and performance characterization and building of a nonlinear mapping model among a material structure, a process and performance through a machine learning method. The database can be used for intelligently recommending a high-performance composite material combination scheme, is suitable for rapid screening and customized development of various thermoplastic composite materials, effectively reduces the research and development cost and development cycle, and improves the material design efficiency.

The invention discloses a rotating wheel nondestructive testing robot and a testing method thereof, and belongs to the technical field of specialized robots and nondestructive testing. The rotating wheel nondestructive testing robot comprises a permanent magnet adsorption walking mechanism, a multi-degree-of-freedom mechanical arm, a module flaw detection unit, a multi-sensor positioning system and a central controller; the adsorption walking mechanism is used for realizing all-attitude stable crawling on the curved surface of the rotating wheel; the multi-degree-of-freedom mechanical arm is arranged above the middle part of the permanent magnet adsorption walking mechanism and is used for moving the module flaw detection unit to a specified position; the module flaw detection unit is used for performing high-resolution detection on the damage of the composite material on the rotating wheel; the multi-sensor positioning system is used for real-time pose feedback of the robot; the central controller is used for controlling all the components to work cooperatively. According to the nondestructive detection robot for the runner and the detection method thereof, the problems that in the prior art, detection of internal cracks of turbine runner blades depends on a manual frame erecting mode, the high-altitude operation risk is large, the number of detection blind areas is large, and efficiency is low can be effectively solved.

The invention discloses a nondestructive testing method for composite material defects, and relates to the technical field of nondestructive testing, and the method comprises the following steps: firstly, collecting a scanning waveform of a test piece A, determining a potential defect area based on an echo amplitude and a time difference, and outputting a sequence containing space coordinates, an original waveform and focusing parameters; an effective time window is intercepted after preprocessing, sub-bands are generated through wavelet packet decomposition, and total energy is calculated and normalized to obtain an energy vector; secondly, based on a known sample, evaluating the separability of sub-bands by using a Fisher criterion, sorting the sub-bands, determining an optimal energy dimension through cross validation, combining sub-band energy features with phase and time difference features into composite vectors, inputting the composite vectors into a dual-channel lightweight deep network, outputting defect categories and confidence coefficients, and mapping the defect categories and confidence coefficients to a C scanning frame image; and finally, backtracking the three-dimensional coordinates, calculating the defect volume and the residual wall thickness, and comparing with a material performance database to output a conclusion. The problem of misjudgment caused by echo waveform similarity is solved, and detection closed-loop optimization is achieved.

The present invention relates to the technical field of composite materials. Provided are a glass fiber-reinforced epoxy resin composite material and a preparation method therefor. In the present invention, an epoxy silane coupling agent solution is used for performing surface modification on glass fibers. An epoxy silane coupling agent contains a hydrolyzable group and an epoxy group. Silicon hydroxyl generated when the hydrolyzable group is hydrolyzed can be connected to the glass fibers, so as to effectively modify the surfaces of the glass fibers. The epoxy group can react with an epoxy resin matrix, thereby improving the infiltration effect of the epoxy resin on the glass fibers and improving the bonding performance of the interface of the glass fiber-reinforced epoxy resin composite material, and thus improving the mechanical properties of the glass fiber-reinforced epoxy resin composite material. The epoxy resin is cured and modified by using a functional curing agent or nanoparticles, so as to improve the ductility or strength of the epoxy resin, thereby improving the mechanical properties of the prepared glass fiber-reinforced epoxy resin composite material.

The invention discloses a low-creep polytetrafluoroethylene composite material and a preparation method thereof, the low-creep polytetrafluoroethylene composite material comprises the following raw materials by weight: 50-60 parts of polytetrafluoroethylene, 35-45 parts of perfluoroalkoxy resin, 15-25 parts of modified composite fiber, and 1-2 parts of a lubricant. Polytetrafluoroethylene and perfluoroalkoxy resin are blended according to a specific proportion to serve as a base material, a hot press molding process is matched, the core performance of the material is guaranteed, the molten perfluoroalkoxy resin can fully infiltrate and wrap the surface of the modified composite fiber under the driving of hot press pressure, and the performance of the composite fiber is improved. The composite material has the advantages that the composite material is high in mechanical strength, can form strong interface combination with PTFE (polytetrafluoroethylene) framework particles, can permeate and fill gaps of the PTFE framework particles, eliminates internal pores through a welding effect, and finally forms a highly-compact whole, so that the creep resistance of the composite material is remarkably improved.

The invention provides a method for realizing carbon fiber defect detection by using image recognition, which comprises the following steps: acquiring a depth-diameter ratio of a hole according to an angle change correction coefficient matrix, and if the depth-diameter ratio is greater than a preset threshold, introducing an angle-related attenuation parameter to obtain a corrected light intensity depth mapping relationship; constructing three-dimensional shape data of the hole through the corrected light intensity depth mapping relation, identifying an internal space structure of the hole, performing voxelization discretization processing, obtaining a voxel unit and a light intensity response characteristic thereof, and determining an internal geometric boundary of the hole; and establishing a hole defect quality evaluation index according to a volume measurement result and measurement uncertainty evaluation, comprehensively evaluating the structural integrity of the carbon fiber composite material in combination with grid quality evaluation, and establishing a carbon fiber defect grade classification standard.

The invention relates to an additive manufacturing method and application of an aluminum-based silicon carbide composite material complex component, and the additive manufacturing method of the aluminum-based silicon carbide composite material complex component comprises the following steps: step 1, uniformly mixing silicon carbide powder and aluminum alloy powder, and drying; 2, establishing a structural model for the target part, and importing the structural model into selective laser melting forming equipment; thirdly, selective laser melting forming is conducted; fourthly, linear cutting and surface treatment are conducted; and fifthly, hot isostatic pressing treatment is conducted. The invention further provides application of the aluminum-based silicon carbide composite material complex component to precise structural components such as aviation structural components, guided missile and satellite components and optical instruments. According to the method, the problem of subsequent large-allowance removal of the aluminum-based silicon carbide composite material component is solved, the wettability between the aluminum alloy and the silicon carbide particles is improved, the mechanical property meets the application requirement, and the aluminum-based silicon carbide structural component with stable performance is obtained.

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.