105 results about "Micro morphology" patented technology

The invention belongs to the technical field of ceramic materials, and discloses a high-entropy boride composite silicon carbide ceramic with a controllable microstructure and a preparation method and application thereof. The method comprises the following steps: carrying out ball milling, drying and sieving on Zr, Ta, Nb, W, Cr, B4C and SiB6 to obtain mixed powder; the preparation method comprises the following steps: putting a boron carbide powder into a graphite mold of which the inner surface is coated with a BN layer, heating to 1850-2050 DEG C, carrying out SPS sintering, and preparing the high-entropy boride composite silicon carbide ceramic with controllable microstructure under 20-35 MPa and a vacuum degree of 10 Pa, and the molecular formula of the high-entropy boride composite silicon carbide ceramic is (Zr0. 2Ta0. 2Nb0. 2W0. 2Cr0. 2) B2-SiC. The ceramic has good mechanical properties, the hardness at room temperature is 27-32 GPa, the fracture toughness is 4.5-6 MPa.m < 1 / 2 >, the bending strength is 450-600 MPa, and the ceramic can be applied to extreme environments or the field of radiation protection.

The present invention discloses a speaker and electronic device improved with a high-density FER molecular sieve. The rear cavity of the speaker is filled with a high-density FER molecular sieve; the raw powder of the FER molecular sieve has a non-flake micromorphology, a thickness-to-width ratio of ≥1:20 and <1:1, and a loose bulk density greater than 0.15 g / cm 3 The speaker provided by the present invention is filled with a high-density FER molecular sieve with a specific raw powder morphology in the back cavity, which increases the acoustic compliance of the air in the back cavity, thereby improving the performance of the speaker in the low frequency band.

The invention discloses a data-driven composite material strain field distribution prediction method, and belongs to the technical field of composite material mechanical property prediction. The method comprises the following steps: firstly, collecting a microstructure graph of the composite material and a corresponding actual strain field distribution graph, and constructing a data set after preprocessing; downsampling and feature extraction are carried out on the preprocessed image through an encoder, the encoder adopts a multi-stage residual structure, and each stage comprises a downsampling residual block and a standard residual block; obtaining potential variables from coding output sampling through a re-parameterization technique; performing up-sampling and feature reconstruction through a decoder with a symmetrical structure; and finally obtaining a normalized strain field prediction map through an output layer. And after the network training is completed, inputting the microstructure graph of the to-be-tested material to output the predicted strain field distribution. According to the method, accurate and efficient mapping from the microstructure of the material to the mechanical property is realized, and a reliable data driving solution is provided for strain analysis of the composite material.

The invention relates to the technical field of carbon fiber microstructure detection, in particular to a carbon fiber skin-core structure detection method, device and equipment and a storage medium. The carbon fiber skin-core structure detection method comprises the steps that a scanning electron microscope morphology graph of a carbon fiber skin-core structure is obtained; performing Raman spectrum scanning on the carbon fiber skin-core structure based on the scanning electron microscope morphology graph; overlapping the scanning electron microscope morphology graph and the Raman spectrum, and constructing a correlation graph of the chemical components and the microstructure of the carbon fiber skin-core structure; and carrying out gradient detection on the chemical component and microstructure correlation map to obtain a detection result of the carbon fiber skin-core structure. According to the invention, synchronous visualization of the morphology and the chemical structure of the carbon fiber skin-core structure can be realized, and the carbon fiber skin-core structure can be visually and quantitatively detected.

The invention discloses a wafer defect detection and regulation method and system, a medium and a product, and relates to the technical field of semiconductors. The method comprises the following steps: collecting microstructure image data and material structure spectrum data of a cutting edge of a wafer; fusing the depth geometric features of the microscopic morphology image data and the depth spectral features of the material structure spectral data to generate a composite defect feature vector; according to the composite defect feature vector, obtaining the category and the severity level of the defect, inputting the category and the severity level as input parameters into a stress simulation model based on finite element analysis to obtain a stress distribution prediction result containing a stress concentration condition; matching and outputting a regulation and control strategy identifier capable of optimizing the stress concentration condition from a preset regulation and control strategy library; and according to the regulation and control strategy identifier, a regulation and control instruction containing the specific process parameters is generated, and the regulation and control instruction is sent to downstream packaging equipment or a repair unit. By implementing the technical scheme, wafer defects can be accurately detected.

The invention provides a reverse design method of a starch hydrogel microstructure, and belongs to the technical field of computer material science. A standardized data set is constructed by collecting different starch hydrogel microstructure images and corresponding target performance index vectors. And constructing a starch hydrogel microstructure reverse generation model, and establishing nonlinear mapping between a macroscopic mechanical property index and a microscopic topological structure in combination with a multi-scale self-attention mechanism and a double-flow physical consistency identification strategy. Meanwhile, a differentiable physical performance prediction agent model and a multi-dimensional physical consistency coupling loss function are designed, adversarial iterative optimization under physical constraints is executed, and a prediction physical performance vector of a generated structure is forced to strictly approach a target performance index vector through a self-supervised feedback closed loop. According to the method, accurate anchoring of the generated structure on the mechanical property is achieved, design scheme recommendation and morphological quantitative analysis based on confidence are provided, and the intelligent level and scientificity of bio-based material design are improved.

The invention relates to the technical field of hygienic product production and manufacturing, and discloses an online high-speed sanitary towel spraying decoration system and method. The method includes acquiring a real-time surface image stream of the substrate by an upstream optical sensor array, including multispectral reflectance and microtopography data. And dynamically fitting a virtual reference plane based on the statistical median of the morphology data so as to adapt to material movement and surface fluctuation. And establishing a spraying control grid on the plane, and mapping reflection data to each grid point. Reversely solving a pigment theoretical saturation point according to the lattice point reflection characteristics, and calculating the initial spraying dosage of each point according to the pigment theoretical saturation point. And a multi-nozzle cooperative spraying instruction is generated in combination with the conveying speed. The method can adapt to the state change of the base material in real time, and accurate pattern positioning and dose on-demand supply on a high-speed production line are achieved, so that the uniformity and definition of a decorative layer are improved, and raw materials are saved.

The invention relates to the technical field of micro-topography measurement, in particular to a surface micro-topography measurement method based on gray depth, which comprises the following steps: acquiring the reflective rate of the surface of a material, determining the number of shooting points, and symmetrically setting the shooting points; acquiring image information of a single shooting point location, and preprocessing the image information to determine the gray gradient of the symmetrical shooting point locations for the same pixel block and determine whether the pixel block has defects or not; determining a gray contrast by taking the pixel block with the defect as a center and a preset pixel distance as an interval so as to determine a defect range; fitting the defect ranges determined by all the shooting points to determine the reliability, determining whether the identification precision of the defect is qualified according to the reliability, and adjusting the identification parameters according to the unqualified identification precision; and determining the morphology of the surface of the material according to the gray gradient for the defect with qualified identification precision. According to the invention, the identification precision of microscopic morphology detection and the industrial detection efficiency are improved.

The invention discloses a preparation method of an organic solderable protective film, which comprises the following steps: carrying out controllable micro-etching treatment on the surface of a metal substrate, so that the arithmetic mean roughness of the surface of the metal substrate is less than or equal to 0.20 mu m, and microscopic bulges on the surface of the metal substrate are of smooth hill-shaped structures; and performing preimpregnation treatment and OSP film forming treatment on the surface of the metal substrate in sequence to form the organic weldability protective film. According to the method disclosed by the invention, the uniformity of the organic weldability protective agent film layer and the reliability of high temperature resistance and chemical corrosion resistance are improved by accurately regulating and controlling the microstructure of the copper surface.

This invention discloses a production data analysis method and system applied to metal product processing. The method first extracts independent processing operation fragments and performs multi-dimensional semantic decomposition on the process text to generate a processing operation semantic sequence. Second, it performs multi-scale morphology primitive decomposition on the surface micro-morphology data to establish a surface morphology evolution sequence. Then, it synchronously correlates the processing operation semantic sequence with the surface morphology evolution sequence in a time sequence, generating a bidirectional reciprocating causal relationship chain through positive action logic evaluation and reverse tracing logic evaluation, and combining them into an initial causal association structure. Next, it performs latent disturbance factor detection processing, detecting asymmetric deviation paths and extracting latent processing factors. Finally, based on the latent processing factors, it adjusts the multi-dimensional descriptive semantics in the processing operation semantic sequence to generate a process parameter adjustment instruction sequence, thereby uncovering latent processing factors and generating a process parameter adjustment strategy with causal explanatory power.

The invention relates to the technical field of material analysis, and discloses a reinforcing steel bar surface oxide structure composition microscale analysis method, which comprises the following steps: obtaining a high-fidelity sample through a layered inert protection sample preparation technology, and sequentially analyzing oxide microstructure and element distribution by adopting a scanning electron microscope-energy spectrum coupling technology, atomic-scale crystal defect observation is realized by combining a spherical aberration correction transmission electron microscope, macroscopic phase composition and microcell chemical valence information are respectively acquired synchronously through X-ray diffraction and X-ray photoelectron spectroscopy, and finally a cross-scale correlation model covering morphological characteristics, crystal structures, phase distribution and chemical states is constructed through multi-source data fusion. And micro-scale structure analysis is realized. Through combination of a multi-source characterization technology, steel bar oxide cross-scale analysis is realized, a high-fidelity sample preparation technology is adopted to guarantee an original state of a sample, a chloride ion diffusion quantitative model fused with crystal defect parameters is constructed, and rust layer protection evaluation is improved from qualitative observation to quantitative prediction.

The present application relates to the technical field of microtopography measurement, and particularly relates to a surface microtopography measurement method based on gray depth, comprising: obtaining the reflectivity of a material surface, determining the number of shooting point positions, and symmetrically arranging the shooting point positions; obtaining image information of a single shooting point position and pre-processing the image information to determine the gray gradient of the symmetric shooting point positions for a same pixel block, and determining whether the pixel block has defects; taking the pixel block with defects as a center and taking a preset pixel distance as a pitch to determine a gray contrast to determine a defect range; fitting the defect ranges determined by all shooting point positions to determine reliability, determining whether the recognition accuracy of the defects is qualified according to the reliability, and adjusting recognition parameters according to unqualified recognition accuracy; and determining the topography of the material surface according to the gray gradient for the defects with qualified recognition accuracy. The present application improves the recognition accuracy of microtopography detection and industrial detection efficiency.

The invention belongs to the technical field of metal material surface treatment, and discloses a production process of a weldable electroplated chromium plate. According to the process, cluster-shaped peak morphology is transferred on the surface of a cold-rolled steel coil through a laser texturing roller, and staged double-layer chromium electroplating is combined, specifically, a discontinuous chromium layer is formed on the top of a micro convex peak through first-time high-current pulse electroplating, and local iron leakage points are reserved; the second low current direct current plating covers an ultrathin continuous chromium film to maintain macro passivation. According to the invention, a composite functional structure with both macroscopic passivation integrity and microcosmic conductive selectivity is constructed on the surface of chromium-plated iron by accurately controlling the microstructure of the surface of a base material and double-layer chromium plating process parameters, so that the technical bottleneck of the chromium-plated plate in resistance welding application is effectively solved, collaborative optimization of weldability and corrosion resistance is realized, and the application range of the chromium-plated plate in resistance welding is widened. And a reliable technical path is provided for comprehensive replacement of chromium-plated iron in the field of metal packaging.

The application belongs to the field of three-dimensional reconstruction, and particularly relates to a micro-morphology analysis method based on wavelet multi-layer frequency band decomposition. The method comprises the following steps: firstly, a multi-focus image sequence of a micro scene to be measured is collected, and multi-scale spatial features are obtained through feature coding and projection mapping; then, a two-dimensional discrete wavelet transform method is introduced, the spatial features are decoupled into a low-frequency approximate subband representing global geometry and a high-frequency detail subband representing fine texture, and structure feature correction and directional texture enhancement are respectively implemented; on this basis, inverse discrete wavelet transform and residual fusion are used to construct time-frequency enhanced features, a deep regression network is used to analyze pixel-level focus probability distribution to generate a continuous depth map; finally, a cascading mechanism driven by three-dimensional geometric reconstruction for scene morphology perception is established, and depth geometric edge constraints are used to reversely guide the high-fidelity generation of a full-focus image. Through the wavelet multi-layer frequency band decomposition strategy, the application effectively solves the problem of confusion between texture details and out-of-focus noise in micro imaging, and realizes the synchronous robust analysis of high-precision geometric structure and full-depth clear texture of micro morphology.

The invention discloses a preparation process of an organic composite material with ultrahigh salt resistance. Comprising the following steps: calculating and simulating to obtain a salient point form and a salient point distance h in the micro-morphology of the film; and calculating to obtain the average diameter D of the particles forming the salient points. The dispersed polytetrafluoroethylene particles are subjected to thermocuring treatment and deagglomeration treatment, and treated particles a are obtained; according to h between the salient points, obtaining the configuration proportion of the treated particles a and the dispersed PTFE particles, mixing and stirring according to the proportion, and then carrying out fibrosis treatment to obtain treated particles b; placing the two kinds of particles in layers, and forming an asymmetric film through a stretching process; mixing a fluorine monomer, an electrostatic conduction material and an alcohol solvent to obtain a pre-prepared solution; spraying the prefabricated solution on the surface of a base material to obtain a treated base material; and hot-pressing and laminating the asymmetric film on a base material to form the organic composite material. The membrane material is suitable for flue gas filtration systems in different industries, and is especially suitable for purification of medium and low temperature flue gas systems with high salting-out degree.

The invention provides a reconstruction method for a fiber composite material, and the method comprises the steps: obtaining a microscopic image of a waste fiber surface, and calculating a fractal dimension; extracting the waste fiber surface microscopic image based on fractal dimension optimization, circularly calculating the fractal dimension until a preset condition is met, obtaining a fiber surface area, and extracting the microscopic morphology characteristics of the waste fiber surface; based on the microtopography features, collecting multi-modal data of the surfaces of the waste fibers, inputting the multi-modal data and the microtopography features into a pre-trained multi-modal evaluation model, and outputting scores and grades of the quality of the fibers; and on the basis of the grading and grading of the fiber quality and the microstructure characteristics, matching and optimizing reconstruction process parameters for the waste fibers with different quality grades through an optimization algorithm, and generating a fiber composite material reconstruction scheme. According to the method, by improving the regeneration utilization rate of the waste textiles and reducing the dependence of enterprises on native fiber materials, optimal allocation of resources is achieved, and the utilization efficiency of the resources is improved.

The invention belongs to the technical field of safety evaluation of service materials, and particularly relates to a microscopic rapid evaluation method for a long-time thermal service state of a nuclear power pressure vessel material, which comprises the following steps of: 1, selecting a pressure vessel micro-area material in a certain service state; 2, a specific corrosive liquid is selected for corrosion for a certain time, and a state monitoring sample piece is obtained; step 3, the microscopic morphology of the state monitoring sample piece is shot through a microscope; 4, counting the percentage composition of the corrosion area; and 5, evaluating the thermal service state of the material according to the linear relationship between the percentage composition of the corrosion area and the thermal aging time. According to the microscopic rapid evaluation method for the long-time thermal service state of the nuclear power pressure vessel material, thermal aging degradation damage of the pressure vessel material is presented through an over-corrosion method, rapid evaluation of the thermal aging state can be achieved only by obtaining a local monitoring material, and the microscopic rapid evaluation method still has a good prediction effect on long-time thermal service equipment.

The present invention discloses a method for characterizing the microstructure and magnetic properties of a permanent magnet material, belonging to the technical field of permanent magnet materials, and solving the problem that the detection of the microstructure and magnetic properties of existing permanent magnet materials requires specific instruments for detection respectively, and the detection time is relatively long. The characterization method includes: collecting microscopic morphology photos of different positions of the permanent magnet material; calculating the fractal dimension of the microscopic morphology photos by using the fractal dimension calculation method; judging the uniformity, isotropy or anisotropy, and magnetic properties of the permanent magnet material according to the fractal dimensions of the microscopic morphology photos at different positions; wherein, the uniformity of the permanent magnet material is judged according to the absolute value of the difference between the fractal dimensions of the microscopic morphology photos at different positions on the same plane; the isotropy or anisotropy and magnetic properties of the permanent magnet material are judged according to the absolute value of the difference between the fractal dimensions in the vertical orientation direction and the parallel orientation direction of the material. The method of the present invention requires less equipment, is simple, fast, and the result is accurate.

This invention relates to the field of textile quality testing technology, specifically disclosing a method and system for evaluating the color fastness of yam-dyed silk fabrics. This invention acquires the microscopic morphology of the surface and the distribution characteristics of internal chemical substances in the yam-dyed silk fabric, quantitatively analyzes the factors influencing color fastness, firstly identifies water-sensitive areas based on surface images and three-dimensional data, extracts groove depth, roughness, and water-stain sensitivity index, and calculates the composite influence factor of surface defects. Simultaneously, it uses energy dispersive spectroscopy and other techniques to analyze the concentration and distribution of unbound iron ions and tannin dyes, obtaining an iron ion migration risk index. Combining the above parameters, a comprehensive color fastness evaluation coefficient is obtained through normalization and weighted calculation. Finally, the color fastness level is determined by comparing it with a preset threshold range. This method integrates physical and chemical factors to achieve a more accurate and comprehensive color fastness evaluation, providing a reliable basis for quality control.

This invention discloses a method for intelligent and accurate sampling inspection of beef balls based on AI visual recognition, belonging to the field of intelligent food detection technology. It includes: S1: Constructing defect data: A graph neural network is constructed using the microscopic morphology and 3D surface morphology of beef ball samples. Simultaneously, virtual beef ball defect samples are generated through multiphysics modeling, and the physical authenticity of the virtual beef ball defect samples is verified using the graph neural network; S2: Dual-channel adversarial training: The beef ball model is identified through structural and material channels, and the loss function of the beef ball model is determined; S3: Quality detection: Based on the composite loss function, the sampling rate of the beef balls is set, and a quality assessment system is constructed. This invention identifies the geometric deformation of beef balls through the structural channel and analyzes the fat distribution texture of beef balls through the material channel, thereby synergistically reducing the false judgment rate.

The invention discloses a hard ceramic coating stress solving method, device and equipment and a medium, relates to the technical field of materials science, and aims to accurately capture the influence of a microstructure on the hard ceramic coating stress and improve the solving precision of the hard ceramic coating stress. The method comprises the steps that effective sampling point coordinates in at least one unit material area are obtained according to a microstructure image of the hard ceramic coating, and the microstructure image is used for presenting various detail features of the surface of the hard ceramic coating; the coordinates of the effective sampling points in the at least one unit material area are input into a pre-trained mechanical property analysis model, mechanical property parameters of the at least one unit material area are obtained through solving of the mechanical property analysis model, and the mechanical property analysis model comprises an auxiliary solving network and a parameter solving network; and calculating the stress value of the hard ceramic coating according to the mechanical property parameters of the at least one unit material area.

The invention discloses an II-type heterojunction BiOBr / NiV-LDH composite photocatalytic material as well as a preparation method and application thereof. The preparation method comprises the following steps: preparing NiV-LDH powder by adopting a hydrothermal method; the BiOBr / NiV-LDH composite photocatalytic material is further prepared by adopting a sol-gel method; the micro-morphology of the BiOBr / NiV-LDH composite photocatalyst is accurately regulated and controlled to be of an II-type heterojunction nanosheet structure by regulating and controlling key process parameters such as the reaction temperature and the reaction time of a sol-gel method; according to the structure, the specific surface area of the material is greatly increased, and then rich active sites are provided for photocatalytic reaction; in the prepared BiOBr / NiV-LDH composite photocatalytic material, an II-type heterojunction structure formed by BiOBr and NiV-LDH can obviously reduce the recombination rate of photo-induced electron-hole pairs, and the visible light response range of the material is effectively widened; meanwhile, NiV-LDH has excellent photo-generated hole capturing capability, can be used as a cocatalyst for surface oxidation reaction, and synergistically improves the photocatalytic performance, so that the composite material finally shows excellent catalytic activity and stability in the field of pollutant degradation.

The application discloses a preparation process of an organic composite material with super-high salt resistance. The process comprises the following steps: obtaining the convex point shape and the convex point interval h in the micro-morphology of the film through calculation simulation; calculating the average diameter D of the convex point particles; performing heat curing treatment and de-agglomeration treatment on the dispersed polytetrafluoroethylene particles to obtain treated particles a; according to the h between the convex points, the configuration ratio of the treated particles a and the dispersed PTFE particles is obtained, the particles are mixed and stirred according to the ratio, and then fiberization treatment is performed to obtain treated particles b; the two kinds of particles are placed in layers, and an asymmetric film is formed through a stretching process; a fluorine monomer, an electrostatic conductive material and an alcohol solvent are mixed to obtain a prepared solution; the prepared solution is sprayed on the surface of a base material to obtain a treated base material; and the asymmetric film is hot-pressed and laminated on the base material to form the organic composite material. The film material is suitable for a flue gas filtration system in different industries, and is especially suitable for the purification of a medium-low temperature flue gas system with high salting-out degree.

The invention relates to a Pd-SA / WOS ternary composite gas-sensitive material as well as a preparation method and application thereof, and belongs to the technical field of semiconductor gas sensors. According to the Pd-SA / WOS ternary composite gas-sensitive material, the microstructure of the ternary composite gas-sensitive material is that Pd is uniformly distributed on the surface of a WS2 / WO3 compound in a monatomic form, the WS2 / WO3 compound is of a flower-shaped structure assembled by WS2 / WO3 nanosheets, and the mass ratio of WS2 to WO3 in the WS2 / WO3 compound is 1: (1.2-1.8). The obtained material has high oxygen vacancy, high oxidation-reduction activity, optimized morphological characteristics and an ideal energy band structure. In the aspect of hydrogen detection, the material has the advantages of low working temperature, high response speed, high sensitivity, good selectivity and the like, and can be used for monitoring and early warning of hydrogen leakage.

The present application provides a prediction method for a recycled carbon fiber pathway combined with a neural network, comprising: using a continuous imaging method to monitor the entire cracking process in real time, obtaining a surface morphology image sequence, analyzing the surface morphology image sequence through an image processing method, and judging the changing trend of the carbon fiber surface groove depth and roughness micromorphology parameters; establishing a nonlinear mapping relationship between the carbon fiber surface structure and the recycled quality based on the carbon fiber surface groove depth and roughness micromorphology parameters, and outputting a corresponding recycled quality prediction value when a numerical value representing the carbon fiber surface structure parameter is input; predicting the quality and performance of the recycled carbon fiber for recycled carbon fiber samples obtained under different cracking process conditions, analyzing and comparing the prediction results, and optimizing the cracking process parameters.

The invention discloses silicon dioxide particles and a preparation method thereof, a polishing solution, a carrier and an adsorption material, and belongs to the field of non-spherical silicon dioxide. Wherein the silicon dioxide particles comprise silicon dioxide and polyether amine located on at least part of the surface of the silicon dioxide; the microtopography of the silicon dioxide particles is ellipsoid, and the surfaces of the silicon dioxide particles are provided with protruding structures. Compared with the prior art, the silicon dioxide particles with the special microtopography are provided, the microtopography of the silicon dioxide particles is ellipsoid, and the surfaces of the silicon dioxide particles are provided with the protruding structures, so that the polishing efficiency can be improved; meanwhile, polyether amine is introduced to the surfaces of the silicon dioxide particles, the lubricating and buffering effects can be achieved, scratches generated in the polishing process of the wafer are reduced, and the quality of the wafer is improved. Besides, polyether amine can be removed from the silicon dioxide particles by means of roasting and the like to form aspheric silicon dioxide particles with porous structures, and the aspheric silicon dioxide particles are further applied to the fields of carrier materials, adsorption materials and the like and are wide in application.

The present invention discloses an Au-modified hollow spherical SnO2 nanocomposite and a method for preparing a hydrogen sensor. Based on the synthesis of hollow spherical SnO2 nanoparticles via a one-step hydrothermal synthesis method, the amount of concentrated hydrochloric acid in the mixed solution is reduced and the HAuCl4·4H2O doping ratio is controlled to produce an Au-modified hollow spherical SnO2 nanocomposite with a unique micromorphology. This method addresses the low response and long response / recovery times of existing metal oxide semiconductor (MOS) hydrogen sensors at low temperatures. By doping the material with catalytic Au, the material system is enhanced in terms of conductivity and reactivity at lower temperatures, while the specific surface area is increased by micromorphological manipulation to enhance the response. This method offers advantages such as simple material preparation, high hydrogen response at low operating temperatures, and short response / recovery times. Given the vigorous development of hydrogen energy, the development of such intrinsically safe low-temperature hydrogen sensors holds great promise for future applications.

The application provides a method for detecting the exposed height of abrasive grains of an electroplated grinding wheel, comprising the following steps: S1, generating an image sequence of the micro-morphology of the surface of the electroplated grinding wheel; S2, performing image focus depth synthesis processing on the image sequence obtained in step S1 to obtain a two-dimensional fusion image and a three-dimensional reconstruction image of the micro-morphology of the surface of the electroplated grinding wheel; S3, performing binaryzation processing on the two-dimensional fusion image obtained in step S2 to obtain the position information of the abrasive grain size, position and binder region around the abrasive grain in the image; S4, obtaining the top height of the abrasive grain and the average height of the binder region around the abrasive grain; S5, obtaining the exposed height of the abrasive grain and marking the exposed height in the binary image BW The application can realize stable detection and automatic batch detection of all abrasive grains in the field of view, and effectively solves the problems of unstable detection results and low detection efficiency of the traditional detection method.

The application discloses a homogeneous phase synthesis method of copper-based micro-nano materials with controllable phase and morphology, which comprises the following steps: (1) dissolving soluble copper salt in a mixed solvent of ethylene glycol and ethylenediamine, and stirring to obtain a clear homogeneous phase solution; (2) adjusting the adding amount of deionized water in the reaction system to determine the phase of the product as copper or cuprous oxide or a composite material of both; (3) under the determined phase system, adjusting the adding amount of ethylene glycol in the reaction system to control the micro-morphology and exposed crystal face of the product; and (4) performing low-temperature solvothermal reaction under sealed conditions, and obtaining the target product through centrifugation, washing and drying after the reaction is completed. The method has the advantages of simple process, no need of solid precursors and high-temperature calcination in the whole process, mild reaction condition, high product purity, good repeatability and the like, and effectively solves the problem that the prior art is difficult to simultaneously and accurately control the crystal structure and micro-morphology of copper-based materials in the same system.

This invention discloses a method and system for constructing the true value of the microscopic morphology of the inner wall of a pipeline based on spatial domain triggering and dynamic shutter control, belonging to the field of pipeline inspection technology. It employs a dynamic time-division stroboscopic acquisition strategy based on spatial sampling consistency to ensure that the four image sequences required for photometric stereo vision overlap in physical space. It introduces dynamic shutter control based on instantaneous velocity to reduce the non-uniformity of imaging quality caused by the variable speed movement of multiple sensor modules. A robust photometric stereo algorithm is used to decouple and separate the pure pipe wall texture and micro-geometry, and reconstruct a high-precision 3D depth map. Finally, standardized true value data integrating position, texture, and geometry is constructed. This invention solves the problem in existing photometric stereo vision methods where multiple frames acquired under different lighting conditions are difficult to keep spatially consistent when the carrier is in continuous motion or experiencing mechanical micro-vibration, leading to significant errors in normal vector calculation and 3D reconstruction results.