780 results about "Micro cracks" patented technology

The invention relates to a tin ring automatic focusing laser soldering tin fixing and 3D welding spot detecting system, and belongs to the technical field of industrial automatic laser processing. The system is characterized in that a tin ring preparation module identifies pins in real time and dynamically optimizes winding parameters through visual positioning and a self-adaptive winding head, and performs defect identification and pre-repair analysis through multispectral imaging; the soldering tin positioning module is used for switching stations through a rotary table, and precise positioning and clamping of a product are realized by combining laser contour sensing and a focusing compensation algorithm; the laser tin soldering module can visually identify tin materials and automatically call welding parameters, laser power and action time are regulated and controlled in real time by establishing a regional heat conduction model, and gradient cooling is implemented after welding; and the 3D detection module adopts dual-mode scanning, constructs a welding spot three-dimensional model based on fusion data, recognizes microcracks through super-resolution processing, and discriminates the welding spot quality. And automation and intellectualization of the whole process from tin ring preparation to welding spot quality detection are achieved.

The invention discloses an automobile seat framework machining defect detection method based on machine vision, and particularly relates to the technical field of defect detection. The method comprises the following steps: constructing a multi-angle image acquisition and edge reflection modeling module aiming at complex defects such as weld joint pseudo soldering, microcracks, hole site deviation and collapse deformation, extracting weld joint continuity, edge integrity and hole site geometric consistency characteristics by using a deep neural network, and generating a structural feature vector; defect type recognition and credibility scoring are completed through small sample anomaly modeling and Gaussian mixture model classification, sub-pixel-level coordinate labeling of defect positions is achieved in combination with a Gaussian fitting algorithm, a defect positioning map is output, traceability analysis and severity grading are conducted based on historical data comparison, and the defect positioning accuracy is improved. The method is suitable for industrial online detection and quality closed-loop control.

The invention relates to the technical field of coal mining, in particular to a grouting reinforcement anti-seepage method for an underground coal mine, which comprises the following steps: cleaning and temporarily supporting a target area; scanning the surrounding rock by adopting intrinsic safety type detection equipment to obtain fracture parameters and generate a three-dimensional distribution diagram; designing a construction grouting hole and cleaning the hole; double-liquid grouting equipment is adopted, reinforced grout containing aggregate is injected firstly to fill large cracks, after the reinforced grout is initially set, impermeable grout such as acrylate is injected to block micro cracks, and grouting pressure and flow are monitored and controlled in real time; finally, strength and impermeability detection is carried out, and hole patching and grouting are carried out if the standard is not met; according to the method, through accurate detection, partition design, staged grouting and strict quality inspection, the problem that in a traditional method, the reinforcing effect and the seepage-proofing effect are difficult to cooperate is solved, integrated construction of high-strength reinforcing and efficient seepage-proofing of the surrounding rock is achieved, and the engineering quality and efficiency are improved.

The invention provides a carbon fiber composite material microcrack image segmentation method based on a two-stage super-resolution dynamic attention network, and the method comprises the steps: collecting a microscopic image of a to-be-detected carbon fiber composite material, and carrying out the preprocessing of the image, so as to improve the discrimination between a crack and a background; scanning the preprocessed image by adopting a multi-scale sliding window, carrying out microcrack feature extraction in combination with morphological Top-hat transformation, and positioning a candidate region with microcracks; cutting an image corresponding to the candidate region into sub-images, inputting the sub-images into a pre-trained super-resolution reconstruction network, and amplifying the sub-images to 2-8 times of the original size to obtain a high-resolution candidate region image; inputting the super-resolution enhanced candidate region image into a pre-trained convolutional neural network model for pixel-level crack segmentation to obtain a segmentation result of cracks in the candidate region; and mapping the segmented micro-crack region back to an original image coordinate system, marking the position and shape of the crack on the original image, and outputting a final micro-crack segmentation result.

The invention relates to the technical field of concrete pole damage monitoring, and discloses a concrete pole damage monitoring method based on modal recognition, comprising the following steps: S1, multi-modal data acquisition; s2, edge side real-time processing and micro-damage identification; s3, performing model diagnosis based on cloud depth; s4, performing digital twin driven damage evolution prediction; and S5, performing dynamic risk assessment and decision support. According to the method, through synchronous acquisition and fusion of multi-source data, the limitation of a single sensing mode is overcome, multi-dimensional and cross-modal collaborative recognition of the microcrack germination stage is realized, and the sensitivity and reliability of early damage detection are remarkably improved; a lightweight damage identification model is deployed on the edge side, so that the instant early warning requirement of micro-damage germination is met; damage positioning and degree evaluation are carried out through the cloud based on a multi-modal fusion deep learning model, an efficient collaborative architecture of edge real-time early warning and cloud accurate diagnosis is formed, and the system response speed and decision accuracy are greatly improved.

The invention discloses an intelligent concrete composite material and a preparation method thereof. The material is formed by compounding a base material, a microencapsulated phase change material, a self-repairing agent and reinforced fibers. The microencapsulated phase-change material is of a core-shell structure, the core of the microencapsulated phase-change material is an organic phase-change substance, and the shell of the microencapsulated phase-change material is a polymer wall material; the self-repairing agent is a two-component microcapsule system containing a healing agent and a catalyst. When the building material is damaged by external force to generate microcracks, the stress at the tip of the cracks can enable the self-repairing microcapsules to be broken, the released healing agent is polymerized under the action of the catalyst, and self-repairing of the cracks is achieved. Meanwhile, the phase change material in the material can absorb or release a large amount of heat through phase transition, the internal temperature of a building is effectively adjusted, and energy consumption is reduced. The preparation process is simple, the cost is low, and the obtained material is excellent in comprehensive performance and has a wide application prospect.

The invention relates to the technical field of plastic molding and treatment, and discloses a molding processing and post-treatment process of low-odor plastic, which comprises the following steps: extruding a plastic melt containing volatile components into a to-be-cut material strip, pelletizing in a pelletizing area by using a pelletizing device, and synchronously adjusting the pulse spraying frequency to adapt to the pelletizing frequency, an alternating stress field is induced on the surface layer of a material strip through periodic cold impact and mechanical vibration, a micro-crack structure is formed on the surface layer of plastic particles by controlling the particle size of atomized liquid drops, an exhaust channel for volatile component escape is constructed, and then the plastic particles are conveyed to post-treatment equipment for volatile component removal. A solid diffusion process blocked by a skin layer is converted into a physical inrush flow along a microcrack channel, so that a mass transfer energy barrier is reduced, efficient removal of peculiar smell components is realized, and thermal degradation and yellowing of particles are avoided.

The invention belongs to the technical field of defect detection, and particularly relates to a forging part surface defect detection device which comprises a base, a controller is connected to the side wall of the base, a moving assembly is arranged in the base, and crankshafts are clamped by the moving end of the moving assembly and the surface of the base through clamping assemblies. The upper side wall of the base is fixedly connected with a mounting frame. When the surface defects of the crankshaft are detected, the surfaces of a journal, a crank arm and a balance block are synchronously detected in different areas, the device is adaptive to crankshafts of different models, detection blind areas caused by a complex structure can be greatly eliminated, and it is ensured that the defects such as microcracks and scratches of all key parts are not missed; meanwhile, the detection efficiency can be remarkably improved, and time loss caused by single-region successive detection is avoided; and the debugging period of tool clamps and parameters during detection of crankshafts of different models can be shortened, the equipment investment and the production cost are reduced, and the universality and the flexibility of the detection system are enhanced.

The quartz part polishing equipment comprises a polishing robot, and an operation platform is arranged at the operation end of the polishing robot; a full heating end is arranged on the side, away from the polishing robot, of the operation platform. The invention relates to the technical field of quartz part processing equipment, and has the beneficial effects that the outer wall and the inner wall of a quartz part are synchronously and uniformly heated by arranging a full heating end and utilizing a side ring heating piece and a core part heating piece respectively, so that the whole quartz part is uniformly heated, and the thermal stress caused by local temperature gradient is reduced; the toughness of the quartz part is improved through heating, microcracks caused by cold grinding and polishing are avoided, the product percent of pass is improved, the self-transposition split jacking tool with the first mode and the second mode is designed, the polishing robot can conduct seamless grinding on the shielding portion of the self-transposition split jacking tool, the machining blind area caused by a traditional clamp is eliminated, and the machining efficiency is improved. All-directional polishing of the surface of the quartz part is achieved.

The invention relates to the technical field of defect detection, and particularly discloses a steel workpiece surface defect detection method based on multiple attention mechanisms, which comprises the following steps: constructing a steel workpiece surface defect data set, dividing the steel workpiece surface defect data set and preprocessing the steel workpiece surface defect data set; constructing a YOLOv8 model and improving, designing a C2fSCSA module and integrating the C2fSCSA module into the YOLOv8 model; further constructing an EMA multi-scale attention module, and integrating the EMA multi-scale attention module into the YOLOv8-SCSA model to obtain a YOLOv8-SCSA-EMA model; constructing a joint loss function; training the model by using the preprocessed training set; and performing steel workpiece surface defect detection by using the trained model to generate a detection frame set. The method effectively improves the generalization and defect recognition capability of the model, can more effectively capture defect features difficult to recognize, such as micro cracks, under complex background interference, and is suitable for actual detection scenes of surface defects of various steel workpieces.

The invention relates to the technical field of adhesive tapes, in particular to a convex ball-mounting wafer thinning adhesive tape, a preparation method thereof and a wafer thinning machine, the thinning adhesive tape comprises a base material film, a viscosity-reducing adhesive layer and a release film; the preparation method comprises the following steps: preparing a first polymer network; preparing a second polymer network; the adhesive composition is obtained; forming a liquid film; covering the base material film on a liquid film; covering a release film on the upper surface of the fixed module in the wafer thinning machine; in a wafer thinning machine, the wafer with the base material film is installed on a release film, and heating treatment is carried out on the laminated wafer so as to directly form a solidified thinning adhesive tape on the wafer; by constructing a thermal / optical dual-curing interpenetrating polymer network with a dual visbreaking mechanism and combining with a special preparation method of the thinning adhesive tape in a thinning machine, the probability that a convex ball-mounting wafer generates microcracks or warps in a specific area when the adhesive tape is used for thinning operation is reduced.

The invention discloses self-repairing and rapid-repairing cement-based mortar and a preparation method thereof, and belongs to the technical field of building materials. The self-repairing and rapid-repairing cement-based mortar is prepared from the following raw materials: 5500-6500 parts of a composite cementing material; 200 to 650 parts of an inorganic permeable crystalline material; 1500 to 3500 parts of a filling material; 307 to 510 parts of a rapid hardening component; 2-5 parts of a moisturizing and thickening component; 150 to 250 parts of a toughening and softening component; and 6-10 parts of a water reducing agent. The preparation method of the self-repairing and rapid-repairing cement-based mortar comprises the following steps: preparing the raw materials according to the proportion, uniformly mixing, adding the mixing water, and uniformly mixing to obtain the self-repairing and rapid-repairing cement-based mortar. The self-repairing quick-repairing cement-based mortar is efficient in water resistance and leaking stoppage, quick in setting and hardening and high in hour strength and has the function of silt; and a good self-repairing capability is achieved for microcosmic cracks of 0.1 mm.

The invention discloses a method for identifying early damage of a floor support plate. The method comprises the steps of image data acquisition and marking, texture enhancement preprocessing based on multi-scale gradient guidance, damage probability thermodynamic diagram generation fused with physical prior, double-flow feature interaction backbone network construction, and multi-scale deformable feature aggregation and damage perception channel weighted classifier design. And performing multi-task dynamic weighted loss optimization and model training. Image enhancement and mechanical strain prior information are fused in an input stage, and a self-adaptive interaction mechanism of global and local features is introduced into a network structure, so that the recognition capability of early damage such as microcracks, local corrosion and connection looseness is effectively improved. Experimental results show that the method shows higher detection precision and robustness under the conditions of complex backgrounds and multiple damage levels, and is remarkably superior to an existing convolutional neural network and a conventional detection model.

The invention discloses a tire surface microcrack detection method and system based on multispectral imaging, and the method comprises the steps: receiving a multispectral polarization image sequence of a tire surface, and generating an initial stress feature tensor based on Mueller matrix decomposition; performing topological data analysis on the initial stress characteristic tensor, constructing a crack characteristic bar code, and decomposing the bar code structure into a plurality of persistent coherence groups; performing feature enhancement on the persistent coherent group by using a generative adversarial network, and generating a labeled training sample set; performing model training on the labeled training sample set on the basis of a visual Transform architecture to generate a micro-crack detection model; deploying the microcrack detection model, performing online reasoning on a multispectral image acquired in real time, performing crack shape parameterization in combination with a Hough forest algorithm, and generating a microcrack detection report including position, length and width. According to the embodiment of the invention, the accuracy and adaptability of microcrack detection can be improved.

The invention discloses a high-robustness multi-scale defect detection method for a metal matrix surface, and relates to the technical field of machine vision and surface defect detection. In order to solve the problems of large scale difference of metal matrix surface defects, strong background noise and easy missing detection of tiny targets in a complex service environment, an EMA-YOLO deep network proposed by the invention is characterized in that an efficient multi-scale attention (EMA) mechanism is introduced into a YOLOv8 backbone network, and the influence of background interferences such as surface water stains and oil stains on defect identification is inhibited through a cross-space learning strategy; a P2 layer-based high-resolution tiny target detection head is constructed, and shallow geometric details are reserved to accurately capture early pitting corrosion and microcracks; a Shape-IoU loss function is introduced, and through shape perception and adaptive weight adjustment, the positioning precision of cracks and irregular spalling defects with extreme length-width ratios is optimized. The EMA-YOLO deep network provided by the invention can effectively improve the accuracy, stability and robustness of multi-scale defect detection under a complex texture background.

The invention relates to the technical field of an integrated circuit appearance inspection enhancement method for improving packaging reliability, particularly discloses an integrated circuit appearance inspection enhancement method for improving packaging reliability, and aims to solve the problems that in the prior art, the detection sensitivity of microdefects in packaging is low, and reliability evaluation lacks a quantitative basis. The method comprises the following steps: synchronously acquiring optical, infrared and X-ray multi-mode appearance data; fusing and constructing a three-dimensional geometry and material distribution model of the packaging structure; extracting three defect features of geometric morphology, thermal response and structural integrity; performing defect collaborative identification and risk grading through a weighted fusion strategy; and finally generating a structured inspection report containing defect information, risk levels and reliability prediction. According to the technical scheme, high-precision detection and reliability quantitative evaluation of potential defects such as microcracks, welding spot holes and packaging layering can be achieved, and the packaging quality control level and the detection efficiency of an integrated circuit are remarkably improved.

The invention discloses a ground directional drilling goaf passing leaking stoppage method which comprises the steps that hole data of a goaf are obtained, and the hole data comprise the hole depth and the crack width; when the width of the crack is larger than 5 mm, a foundation plugging material is adopted for conducting foundation plugging on the hole of the goaf, and the foundation plugging material is an inert material and cement paste; judging whether basic plugging fails or not to obtain a first judgment result; if the first judgment result shows that the basic plugging fails, a flexible plugging material is adopted for conducting medium-term plugging on the holes in the goaf, and the flexible plugging material is a material formed by mixing hemp fiber, sawdust, soybeans and water. According to foundation plugging, a large channel is filled through particle bridging, a primary plugging layer is formed after cement paste is solidified, the flexible material can adapt to trace deformation of surrounding rock through deformation filling, and micro cracks of a foundation layer are plugged. Through graded gradient filling, the leaking stoppage effect can be greatly improved.

The invention discloses a forming method of a thin-wall metal shell component. The forming method of the thin-wall metal shell component comprises the steps that the forming direction of a part is obtained; designing a margin adding scheme; designing an entity support; carrying out printing reversible deformation simulation calculation; designing a support removing tool; selecting a substrate; sLM forming equipment is controlled to form the part; according to the forming method of the thin-wall metal shell component, generation of structure defects and microcracks in the component printing process can be effectively reduced, the compactness and strength of the component are improved, the forming precision is guaranteed, and meanwhile the forming method is simple, practical, convenient to implement and particularly suitable for SLM forming of the high-strength steel shell component. And the precision and the product performance of the SLM formed thin-wall shell can be effectively controlled.

The invention relates to the technical field of solid waste treatment, in particular to a fan blade recycling system and method. The technical problem that in the prior art, fan blades are recycled through a mechanical crushing method, and consequently recycled reinforced fibers are short in length is solved. The invention provides a fan blade recovery system which comprises a crack forming device used for applying vibration and mechanical pulse with preset frequency to a fan blade so as to form microcracks on a resin interface between adjacent fiber layers in the fan blade; and the splitting device is arranged at the downstream of the crack forming device and is used for applying stripping composite stress to the fan blade, so that the fan blade is separated at the micro crack, and fiber bundles and resin matrix fragments are obtained.

The invention is applicable to the technical field of trailer part treatment, and provides a trailer part surface coating treatment process which comprises the following steps: performing high-frequency induction quenching on a trailer ball base body; a copper bottom layer is electroplated on the trailer ball base body, and a bright nickel layer is electroplated on the copper layer; a microcrack nickel layer is electroplated on the bright nickel layer, and a trivalent chromium layer is electroplated on the microcrack nickel layer through a trivalent chromium plating solution; the trailer ball base body electroplated with the trivalent chromium layer is subjected to nanometer hole sealing treatment; applying a layer of polysiloxane or UV (ultraviolet) curing type super-hard transparent finish paint on the surface subjected to hole sealing treatment in a spraying manner; a layer of micro-crack nickel is electroplated on the bright nickel layer, and a micro-crack network of the micro-crack nickel provides a preset and uniform stress release channel for a subsequent chromium layer, so that the internal stress of the chromium layer is dispersed, the brittleness of the chromium layer is greatly reduced, and the impact resistance of the chromium layer is remarkably improved; and a trivalent chromium chromium plating process is adopted to replace traditional hexavalent chromium chromium plating, so that the environmental pollution and toxicity are greatly reduced, and the requirements of modern environmental protection regulations are better met.

The invention belongs to the technical field of drilling, and particularly relates to a manganese ore water-sensitive stratum geological drilling plugging enhancing method which comprises the following steps: step 1, injecting drilling mud containing a plugging material into a drill hole in a drilling process; and 2, vibration or pulse is applied to the slurry through a ground or underground device. According to the method, vibration or pulses are applied in the drilling process, so that pore throats and micro cracks near the well wall generate a periodic opening and closing effect, and a plugging material is continuously driven to enter and is compacted step by step under the action of dynamic pressure and is not limited to the surface layer of the well wall any more, so that the deepness, compactness and anti-scouring capacity of a plugging layer are improved; the safety and continuity of water-sensitive stratum drilling are enhanced, and the method has a good application prospect in the technical field of geological drilling.

The invention relates to a method for detecting microcracks on the inner wall of a wall enclosure superheater of a boiler. The method comprises the following steps: macroscopically identifying and preliminarily screening a high-risk area; creating an endoscope channel based on the primary suspicious area list and performing primary peeping on the inner wall; carrying out detection surface preparation and acoustic coupling optimization; data acquisition is carried out through accurate arrangement of the small-sound-velocity self-coupling phased array ultrasonic probe; extracting defect signal features and carrying out three-dimensional digital modeling; performing crack depth accurate quantization based on a time of flight diffraction mode; carrying out comprehensive data analysis and evaluating a security level; and integrating detection results, and generating a digital file based on the results. According to the invention, standardization of the detection process and systematization of data management can be realized, the detection efficiency and accuracy are greatly improved, a scientific basis is provided for equipment life prediction and maintenance decision, and the safe operation level of the boiler is effectively improved.

The invention provides a composite silicon-carbon negative electrode material and a preparation method thereof, a negative electrode plate and a battery. The composite silicon-carbon negative electrode material comprises a silicon-carbon composite core, and a gradient pore carbon buffer layer and a dynamic self-healing binder layer which sequentially coat the surface of the silicon-carbon composite core, a branched carbon nanostructure grows in the pore wall of the gradient pore carbon buffer layer, the dynamic self-healing binder layer partially permeates into the pores of the gradient pore carbon buffer layer, the dynamic self-healing binder layer contains dynamic disulfide bonds, and the dynamic self-healing binder layer comprises a composite binder and a conductive high-molecular polymer. According to the invention, the gradient pore buffer layer is arranged on the surface of the silicon-carbon particles, and meanwhile, the self-healing binder containing dynamic disulfide bonds is used for permeation filling, so that three-dimensional cooperative regulation and control of graded dissipation of expansion stress, self-repairing of microcracks and ion / electron dual-path conduction are realized; the three core problems of electrode pulverization caused by volume expansion, interface impedance sharp increase and long circulation capacity attenuation are thoroughly solved.

The invention discloses coal rock hydraulic fracturing crack dynamic evolution monitoring equipment and method, and the method comprises the steps: firstly applying three-way independent stress to a coal rock test piece through a true triaxial loading module, and simulating an underground true stress environment; then an ultrasonic excitation module is started, an ultrasonic physical field excitation environment is applied to the coal rock test piece, and development of microcosmic fractures in the coal body is promoted; and the high-pressure pump injection module is started, high-pressure water is injected into the coal rock test piece at constant flow or constant pressure, and more efficient hydraulic fracturing is achieved under excitation of the ultrasonic physical field. In the whole process, the acoustic emission monitoring module captures an elastic wave signal generated by coal rock fracture in real time, and the microcrack initiation position is accurately positioned; the CT scanning module obtains the three-dimensional expansion morphology of the macroscopic crack through scanning; and finally, through a multi-physical field cooperative loading and multi-scale monitoring technology, the whole-process dynamic representation from microcrack initiation to macroscopic crack penetration is realized, and a theoretical support and a technical means are provided for efficient development of coal bed gas.

The invention provides an intelligent feedback control glass outer diameter screening method, which comprises the following steps: collecting the reflected light intensity and refracted light angle of the surface of glass, analyzing the spatial frequency distribution characteristics of local scattering intensity, identifying the surface microcrack distribution mode and quantifying the defect depth change; distinguishing real structure defects and surface tiny scratches, and obtaining defect boundary sharpness and defect size distribution parameters; based on the denoised signal data, dynamic evolution characteristics of defect distribution are extracted, and a space-time incidence matrix containing light intensity spatial frequency periodicity and angle deviation periodicity is constructed; carrying out weight redistribution on the space-time incidence matrix by utilizing a dynamic weight distribution coefficient, and carrying out weighted fusion on local scattering intensity information and refracted light phase difference information to generate a fused feature signal; based on the space-time characteristic parameters of the fused characteristic signals, the influence of sudden drop of reflected light intensity and signal distortion on outer diameter judgment is reduced to the maximum extent, and optimized outer diameter judgment signals are output.

The invention relates to the technical field of building surface three-dimensional reconstruction and defect identification, and particularly discloses a building three-dimensional reconstruction and defect identification integrated method, which realizes high-precision reconstruction of geometric and physical characteristics of a building surface through a multi-modal data fusion and deep learning technology. Meanwhile, defects such as micro cracks, water seepage and spalling are accurately positioned and identified; through the technical means of point cloud dynamic interference correction, transparent material noisy point elimination, VolSpla body rendering and density compensation, multi-scale PointNet + + feature extraction, cross-modal Transform fusion and the like, the precision, robustness and real-time performance of building defect detection are improved, and a reliable and visual digital tool is provided for building safety assessment and maintenance decision.

The invention relates to the technical field of stainless steel heat treatment, in particular to a heat treatment method for improving the hydrogen embrittlement resistance of martensitic stainless steel, which comprises the following steps: a, solution treatment; the solid solution treatment comprises high-temperature solid solution treatment, low-temperature solid solution treatment and medium-temperature solid solution treatment which are sequentially carried out, so that the martensitic block interface proportion in the martensitic stainless steel is the maximum, and due to the fact that the orientation difference of the martensitic block interface is larger than that of other interfaces, more energy is needed when hydrogen-induced cracks penetrate through the type of interface, and the hydrogen-induced cracks are not prone to cracking. The martensite block interface has higher hydrogen capture capacity, the hydrogen embrittlement resistance of the martensite stainless steel is simply and effectively improved on the premise that material components are not changed, and the service life of the martensite stainless steel is guaranteed.

The utility model discloses an amorphous alloy iron core elastic support manufacturing device which comprises a mounting base, a supporting mechanism is arranged on the inner wall of the mounting base, the supporting mechanism comprises a buffer base, a mounting block and a high-frequency vibration assembly, and a positioning mechanism is arranged at the top of the mounting block; the positioning mechanism comprises a mounting bottom plate, the mounting bottom plate is fixed to the top of the mounting block through bolts, a punching mechanism is arranged at the top of the mounting bottom plate, and a limiting mechanism is arranged on the outer side of the punching mechanism; the supporting mechanism is arranged, the amorphous alloy iron core is stamped through the positioning mechanism and the stamping mechanism, in the process, the high-frequency vibration assembly drives the mounting block to vibrate at a high frequency, then the amorphous alloy iron core is driven to vibrate, high-precision lamination compounding can be conducted on the amorphous alloy iron core, the micro-crack defect caused by traditional stamping is avoided, and the production efficiency is improved. And the stamping quality of the amorphous alloy iron core is improved, and then the practicability of the device is improved.

The invention discloses a seawater environment biaxial mechanical loading device based on synchrotron radiation X-ray diffraction, and belongs to the technical field of material testing in a seawater environment. Comprising a ray generator, and a slit, a mechanical loading device and a detector are sequentially arranged along a light path of the ray generator; a seawater environment box is arranged in the center of the mechanical loading device, and a three-dimensional adjusting platform is arranged below the mechanical loading device; by adopting the structure, in-situ characterization and analysis of corrosion product evolution at the crack are realized under the near-service working condition of a complex stress state and a seawater corrosion environment, and a technical support is provided for revealing a microcrack corrosion failure mechanism of a marine material under the near-service working condition.

The invention relates to the technical field of solid waste resource utilization and building materials, in particular to waste glass fiber reinforced plastic modified concrete and a preparation method thereof. The waste glass fiber reinforced plastic powder is directly added into a concrete material system, microcracks are easily caused, and the overall mechanical property of the concrete is remarkably reduced. In order to solve the technical problems, the waste glass fiber reinforced plastic modified concrete is provided, a PTA coating layer rich in high-activity quinonyl is successfully constructed on the surface of glass fiber reinforced plastic powder through alkaline oxidation auto-polymerization of tannic acid, meanwhile, amino at the tail end of m-KH550 reacts with quinonyl on the surface of GF-coated PTA through Schiff base reaction, a firm imine covalent bond is formed, and therefore the waste glass fiber reinforced plastic modified concrete is obtained. Covalent crosslinking is formed between the glass fiber reinforced plastic powder and the active metakaolin. By introducing the waste glass fiber reinforced plastic powder into a concrete system, the overall mechanical property of the concrete can be remarkably improved.