85 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 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 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 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.

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 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 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.

The invention discloses a homogeneous synthesis method of a phase and morphology dual-controllable copper-based micro-nano material, 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 solution; (2) adjusting the addition amount of deionized water in the reaction system to determine that the phase of the product is metal copper or cuprous oxide or a composite material of the metal copper and the cuprous oxide; (3) under the determined phase system, adjusting the addition amount of ethylene glycol in the reaction system so as to regulate and control the microstructure and exposed crystal face of the product; and (4) carrying out low-temperature solvothermal reaction under a sealed condition, and centrifuging, washing and drying after the reaction is finished to obtain a target product. The method is simple in process, does not need to use a solid precursor in the whole process and does not need high-temperature calcination, has the advantages of mild reaction conditions, high product purity, good repeatability and the like, and effectively solves the problem that the crystal structure and the microstructure of the copper-based material are difficult to accurately control in the same system at the same time in the prior art.

The invention discloses a cross-scale calculation method for contact pressure and contact area of a rough surface, and the method comprises the steps: constructing a contact stiffness model of a surface local region based on a microcosmic contact mechanics theory, and building a global weak form equation of a cross-scale contact problem according to a variational principle; secondly, establishing a discretization calculation model containing roughness contribution through a finite element method and a contact judgment criterion; and finally, a contact nonlinear iterative solution algorithm is established based on a Newton-Raphson algorithm and an improved Aikine acceleration method, and contact pressure distribution, a real contact area, a contact object displacement field and the like can be calculated. According to the method, the influence of surface microstructure parameters, contact object macroconfiguration and material parameters is considered, a conventional finite element method is expanded, contact cross-scale calculation between rough surfaces is realized, and theoretical and technical bases are provided for frictional wear, sealing analysis and the like of contact parts of a mechanical system.

The application discloses a kind of C / C composite material surface ablation after micro morphology extraction and reconstruction method, it is related to C / C composite material ablation behavior analysis field, comprising: the micro representative volume unit of C / C composite material is constructed;C / C composite material micro thermal chemical ablation model is established, and it is solved;Based on the solution result, the micro surface ablation morphology evolution of C / C composite material is carried out;The morphology after the micro surface ablation of C / C composite material is extracted;The morphology after the micro surface ablation of C / C composite material is reconstructed.The application solves the problem that existing airflow ablation research does not consider the influence of ablation morphology evolution.

The invention provides a rubber-plastic-based modified asphalt compatibility prediction method and system and electronic equipment, and the method comprises the steps: preparing a plurality of groups of rubber-plastic-based modified asphalt standard samples with known compatibility indexes, obtaining the surface three-dimensional morphology data of each standard sample by using an atomic force microscope, and calculating the surface roughness parameters based on the data; based on the corresponding relationship between the surface roughness parameter and the softening point difference delta T, establishing a quantitative prediction model representing the relationship between the microscopic surface structure and the macroscopic compatibility; performing atomic force microscope testing on a to-be-tested sample to obtain a surface roughness parameter of the to-be-tested sample, and inputting the parameter into the model to obtain a compatibility prediction result; and evaluating and predicting the compatibility of the to-be-tested sample according to the prediction result. The method can quickly, accurately and quantitatively predict the compatibility of the rubber and plastic modified asphalt according to the microtopography without depending on the traditional time-consuming macroscopic test, and effectively overcomes the defects that the traditional method is long in time consumption and difficult to establish the quantitative correlation between the microtopography and the macroscopic performance.

The invention belongs to the technical field of two-dimensional material preparation, and provides an MXene material and a preparation method thereof.The preparation method of the MXene material comprises the steps that a to-be-etched MAX phase precursor, an organic halogenation reagent and a morphology regulating agent are mixed, a solvothermal etching reaction is conducted, after the reaction is finished, an obtained product is cleaned and dried, and the MXene material is obtained; wherein the organic halogenation reagent is triethylamine trihydrofluoride, triethylamine hydrochloride or dichloroethylamine hydrochloride, and the morphology regulating agent is ethylene glycol, dimethyl sulfoxide or cyclohexane. The method provided by the invention can effectively regulate and control the microstructure and pore structure of the MXene material.

The invention discloses a method for identifying a martensite phase in ferritic steel based on energy spectrum analysis, and relates to the technical field of iron and steel material structure identification, and the method comprises the following steps: sequentially carrying out mechanical grinding and electrolytic double spraying on a ferritic stainless steel sample to prepare a sample with a thin region; loading the sample into a transmission electron microscope, vacuumizing to a working vacuum degree, and observing the microtopography of different phases in a thin region of the sample in an imaging mode; switching the transmission electron microscope to a diffraction mode, focusing an electron beam in a selected area in the thin area, collecting diffraction spot patterns of different phases in the thin area, and calculating lattice parameters of the different phases; respectively carrying out EDS energy spectrum analysis on each phase of the collected diffraction spot patterns, and calculating corresponding chemical components; and determining a ferrite phase and a martensite phase according to the microstructure, lattice parameters and chemical components of different phases in the thin region. According to the method, the martensite phase with relatively small lattice distortion can be accurately identified, and meanwhile, the lattice parameters of the martensite phase can be represented.