6371 results about "Microstructure" patented technology

The present invention belongs to the field of sensors, and relates to an ion gel film with a microstructure on the surface, a preparation method, and an ion-type sensor. The preparation method comprises: sandblasting on a precursor substrate to obtain a substrate, forming a mixed solution of a polymer and an ionic liquid on the substrate to obtain a wet film, and drying and curing the wet film to obtain an ion gel film, wherein the precursor substrate has an arc-shaped recess array, and the sandblasting conditions include: the sandblasting particle size is 5000 mesh to 10000 mesh, and the sandblasting pressure is 2 bar to 10 bar. The ion gel film is used for an ion-type sensor, which can improve the detection sensitivity of the sensor.

The invention belongs to the technical field of laser welding, and discloses a laser welding macro-micro multi-physics field cross-scale bidirectional coupling modeling method, which adopts a diffusion interface theory, considers macro heat flow information to revise micro phase field and solute field evolution equations, considers micro phase quality information to revise macro temperature field and flow field evolution equations, and considers micro heat flow information to revise micro phase field and solute field evolution equations. A macroscopic heat flow-microcosmic phase and mass multi-physics field bidirectional coupling model is innovatively constructed, and macroscopic and microcosmic bidirectional coupling calculation in the same computational domain is achieved. The model can overcome the limitation that a traditional sharp interface is difficult to couple, and a theoretical model basis is provided for precise prediction of macroscopic forming and microstructure evolution in the laser welding process. According to the method, a macroscopic temperature field / flow field-microscopic phase field / solute field bidirectional coupling mechanism is established, a cross-scale data bidirectional collaborative interaction method is provided, and therefore a laser welding macro-microscopic multi-physical field / cross-scale bidirectional coupling modeling method is provided, and precise simulation of macro-microscopic forming in the laser welding process is achieved.

The invention discloses a fatigue life simulation evaluation method for a lightweight aluminum alloy material of a new energy automobile, and relates to the technical field of material life evaluation. A microstructure image is collected, coupling features are extracted through machine learning, and heterogeneous data fusion and enhancement are completed; generating a topological optimization structure based on a GAN, introducing a VPSC model to describe anisotropy according to a stress gradient dynamic grid, and constructing a dynamic finite element model; fusing vehicle driving data, predicting a load by using LSTM, performing VMD decomposition and environment correction, and realizing space-time correlation load spectrum reconstruction; a phase field model is used in a microcosmic mode, cracks are tracked in a macroscopic mode through XFEM, damage parameters are transmitted in a bidirectional coupling mode, and multi-physics field coupling simulation is carried out; fusing simulation and test data by adopting Bayesian reasoning, calculating life probability distribution, and correcting parameters when errors exceed the limit; according to the method, the fatigue life prediction error is finally reduced, the time consumption of single simulation is reduced, full-life-cycle evaluation and visual early warning are realized, an efficient scheme is provided for lightweight design, and industrial technology upgrading is promoted.

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

The invention discloses a high-bio-based PHA-acrylate emulsion paint as well as a preparation method and application thereof, and belongs to the technical field of water-based paints. The film former of the latex paint comprises 60% to 90% of polyhydroxyalkanoate (PHA) with a moderate crystallinity of 40% to 60%, and 10% to 40% of a specific bio-based acrylate copolymer with a Tg of not higher than 5 DEG C. According to the invention, a core-shell microstructure in which a rigid PHA phase is wrapped by a flexible acrylate phase is constructed through a key process including ultrasonic treatment. According to the structure, low-temperature film forming can be achieved without a VOC coalescing agent, the bio-based content of an obtained paint film is higher than 70%, the VOC content is lower than 0.5 g / L, the scrub resistance is larger than 7000 times, and the technical problem that high bio-based content and high performance of a PHA coating are difficult to achieve at the same time is solved.

The invention discloses a thermal barrier coating multi-dimensional terahertz nondestructive testing method and system based on an adaptive optimization mechanism, and the method comprises the steps: constructing a matrix sample library, and preparing thermal barrier coating samples with different thicknesses, porosities and uniformity; obtaining terahertz detection data of three dimensions of geometric dimension stability, microstructure integrity and material structure uniformity of the thermal barrier coating; establishing a multi-parameter correction model based on surface roughness, and performing feature extraction, fusion analysis and error compensation on the detection data by adopting a multi-modal integration algorithm; an adaptive optimization model is established through a deep learning algorithm, and continuous iterative optimization of the detection system is realized in combination with a feedback correction mechanism; the method is applied to an engine blade thermal barrier coating, an actual blade coating is detected, detection data are collected for system optimization, system parameters and models are updated, and system applicability and robustness are improved. The method can be widely applied to the field of nondestructive testing of coating structures such as aero-engine blade thermal barrier coatings.

The invention discloses a deep sub-wavelength scatterer particle size evaluation method based on coherent axial diffraction calculation, and belongs to the technical field of optical imaging and microstructure analysis, and the deep sub-wavelength scatterer particle size evaluation method comprises the following steps: obtaining an image, and preprocessing the image; quantifying the preprocessed image, obtaining the scattered light energy concentration of each axial position of an image surface scatterer, obtaining the attenuation condition after scattered light energy defocusing based on the scattered light energy concentration, and compensating defocusing attenuation; the method comprises the following steps: extracting a peak value position and a width of a main peak, carrying out correlation analysis on the extracted peak value position and width data of the main peak and the corresponding scatterer feature size based on a deep sub-wavelength scatterer sample with a known feature size, and constructing a peak value position mapping function and a peak width mapping function; and performing particle size evaluation based on the constructed function. According to the method, the problems of low signal-to-noise ratio, large out-of-focus interference, poor applicability and the like of a traditional method are solved, and the precision and the universality of particle size evaluation are remarkably improved.

The invention provides a hydrophilic and hydrophobic composite wetting microstructure steam cavity and a manufacturing method thereof, and relates to the technical field of heat dissipation devices. The hydrophilic and hydrophobic composite wetting microstructure steam cavity comprises an evaporation end and a condensation end, the surface of the evaporation end comprises a micro-channel hydrophilic area and a micro-array hydrophilic area, and the micro-channel hydrophilic area surrounds the micro-array hydrophilic area; the surface of the condensation end comprises condensation hydrophilic areas and condensation hydrophobic areas which are distributed at intervals, and the evaporation end and the condensation end are assembled to form a flat plate structure with a cavity in the middle. Different wettability surfaces of the condensation hydrophilic area and the condensation hydrophobic area are compounded, rapid nucleation condensation can be achieved, droplet-shaped condensation heat transfer of rapid falling of liquid drops in the condensation hydrophobic area and capillary suction rapid liquid discharge of the micro-channel hydrophilic area at the evaporation end are combined, condensation heat transfer of a working medium is enhanced, liquid backflow circulation is accelerated, and the condensation efficiency is improved. The temperature uniformity of the hydrophilic and hydrophobic composite wetting microstructure steam cavity is greatly improved, and batch forming of large-area microstructure functional surfaces is achieved through the in-situ heating imprinting forming micro-imprinting technology.

The invention discloses a PCB production line defect detection analysis method and system based on an identification model, particularly relates to the technical field of PCB quality detection, and is used for solving the problems of low PCB defect detection precision and high omission ratio in the prior art. The method comprises the following steps: scanning the whole surface of a PCB to generate a thickness distribution diagram, identifying a thickness non-uniform region by adopting a threshold segmentation algorithm, and marking a key detection region; potential defects irrelevant to process fluctuation are identified through historical production data analysis; and adjusting the polarization angle of the light source to analyze the reflectivity difference, and identifying the hidden defect area in combination with the microstructure of the material. The union set of the potential defect area and the hidden defect area is marked as the suspected incomplete area, and the influence of the suspected incomplete area on the performance of the PCB is analyzed according to the quality standard, so that the detection precision and comprehensiveness are improved, and the high-quality control of the PCB is realized.

The invention provides a seed packaging bag AI intelligent anti-fake traceability management system and method, and relates to the field of household kitchens. The AI intelligent anti-fake traceability management system for the seed packaging bag comprises an intelligent anti-fake packaging bag which is provided with a natural random physical texture layer, a dynamic optical structure layer covering the natural random physical texture layer and an encrypted identifier storing a digital identity (DID), and the microstructure of the natural random physical texture layer forms a uniqueness feature which cannot be copied. The dynamic optical structure layer generates a variable optical effect during physical interaction. Unique biological fingerprints are formed through microcosmic random textures of a packaging base material, the optical variable effect of a microlens array is overlaid, each packaging bag has the unclonability of the physical level, and in combination with dynamic comparison of a multi-mode AI engine on real-time texture features and block chain anchoring initial values and optical living body frequency analysis, the non-clonability of the packaging bag is improved. And a three-dimensional verification closed loop which is difficult to break by a counterfeiter is realized.

The invention provides an iron tailing-based geopolymer electromagnetic wave attenuation performance optimization control method and system, and relates to the technical field of electromagnetic wave attenuation, and the method comprises the steps: 1, setting a synthesis condition parameter set of an iron tailing-based geopolymer in a simulation environment, comprising virtual matching of raw materials, particle size distribution, concentration gradient of an alkali activator and curing temperature-time coupling parameters, and a forming process is deduced through an amorphous phase topological configuration and a pore network evolution rule of aluminosilicate gel in a geopolymer microstructure; and step 2, constructing an interface reaction kinetics process based on the synthesis condition parameter set, and generating an enhanced interface digital mapping system with periodically arranged aluminum oxide and silicon oxide regular tetrahedrons through virtual iteration of mineral admixture ratio and forming process parameter boundary conditions. According to the method, a strengthened interface is constructed through simulation synthesis, a loss layer database is established, and microstructure regulation and control and multi-band electromagnetic wave efficient attenuation are achieved.

The present invention relates to a catalyst for ortho-parahydrogen conversion suitable for a wide range of low-temperature conditions and a preparation method thereof. The catalyst is a fiber magnetic catalyst FeMnOx doped with Fe atoms in an orderly manner; the base material of the catalyst is α-MnO2, the α-MnO2 belongs to the tetragonal system, the unit cell parameter is #imgabs0#, the crystal structure is composed of 2×2 octahedral chains with shared edges, the XRD characteristic diffraction peaks are 2θ=12.8°, 18.1°, 25.7°, 37.5°, 49.8°, 56.3°, and the specific surface area measured by the BET test method is 100-150m 2 / g, and transmission electron microscopy shows that its microstructure is a fibrous structure with a diameter of 2 to 5nm and a length of 100nm to 500nm; when the catalyst is used for the ortho-parahydrogen conversion reaction, the ortho-parahydrogen conversion efficiency is more than 95%, and the catalyst life is more than 1400h; the wide range of low temperature conditions is 23K-77K. The coordination of Fe atoms with lattice oxygen in α-MnO2 can effectively avoid the deactivation of the catalyst caused by the change of the valence state of the metal component, thereby enhancing the stability and life of the catalyst, and is suitable for industrial-scale production.

The invention discloses a wide and thick steel plate for a 700MPa-grade corrosion-resistant anti-fatigue marine tendon pipe and a production method of the wide and thick steel plate. According to the component design of the wide and thick steel plate, CEIIW is controlled to be 0.41-0.47%, CEPcm is controlled to be 0.16-0.20%, low-Nb and low-Mo design is adopted, the phase change temperature is increased, and phase change of polygonal ferrite is promoted; rE solid solution, interface segregation and other effects are fully utilized to improve the strength and corrosion resistance, and the RE and Ca act together to purify molten steel and modify and disperse inclusions. On the basis of component design, low-temperature heating, rough rolling multi-stage thickness section high-temperature gradient deformation and low-temperature rolling, intermediate temperature-waiting blank rapid cooling after rough rolling is finished, finish rolling low-temperature deformation, multi-stage water cooling and other methods are adopted to obtain a microstructure of lath bainite, granular bainite and polygonal ferrite, and the proportion, size and distribution control of all phases is ideal; the method plays an important role in obtaining good comprehensive performance of the steel plate.

The invention discloses a steel wire rod for a 2500-2560 MPa grade stress corrosion resistant prestressed steel strand, the steel strand and a production method. The steel wire rod comprises the following chemical components in percentage by mass: 0.95-1.02% of C, 0.8-1.5% of Si, 0.5-1.0% of Mn, 0.25-0.45% of Cr, 0.02-0.08% of V, 0.01-0.05% of Nb, less than 0.30% of Ni, less than 0.30% of Cu, less than 0.30% of Mo, less than or equal to 0.008% of S, less than or equal to 0.010% of P, less than or equal to 0.004% of N, less than or equal to 0.0020% of O and the balance of Fe and other inevitable impurities. By optimizing the chemical components and the production process and refining the microscopic structure, the steel strand prepared from the steel wire rod has high tensile strength, the minimum stress corrosion value is 2.5 hours, the median value is more than 5 hours, and the steel strand shows excellent stress corrosion resistance.

The invention belongs to the technical field of flexible sensors, and relates to a flexible temperature and pressure dual-mode sensor and array equipment. The temperature and pressure dual-mode sensor comprises a first flexible substrate, a force-sensitive conductive layer, an interdigital electrode layer, a second flexible substrate, a counter electrode layer and a temperature-sensitive layer which are sequentially stacked; the force-sensitive conductive layer comprises a microstructure layer stacked on the first flexible substrate and a conductive layer stacked on the microstructure layer; wherein the material of the microstructure layer comprises flexible resin and expanded microsphere powder, the interior of the microstructure layer is provided with a microsphere micropore structure formed by expansion of expanded microspheres, and the surface of the microstructure layer is provided with a plurality of protrusions and recesses; the temperature-sensitive layer is connected between the two counter electrodes of the counter electrode layer, and the temperature-sensitive layer is made of graphene.

The invention relates to the technical field of high polymer materials and preparation thereof, and discloses a wet anti-slip bionic friction pad on a glass surface, which is inspired by a micro-nano structure of toe pads of organisms such as tree frogs and long-horned grasshoppers with wet friction increasing characteristics, and a bulge array is added on the surface of a high-friction material, so that the friction coefficient of the friction pad is increased; the microstructure arrays can discharge a water film on the surface of the friction pad under the capillary action in a wet environment, and the effective contact area between solids is increased, so that the friction pad and a friction surface are always kept in a dry friction state, and stable friction force is ensured. The friction pad comprises a connecting layer, a supporting layer and a tail end protruding straight column array, a tail end contact layer is in a hexagonal straight column shape, the diameter of an inscribed circle of a hexagonal micro-column structure ranges from 5 micrometers to 5000 micrometers, column bodies are densely arranged in a hexagonal mode, the height of the column bodies ranges from 10 micrometers to 1500 micrometers, the tail ends of the column bodies are planes, the interval between every two column bodies ranges from 2 micrometers to 600 micrometers, and tight drainage grooves are formed.

An electrode arrangement for use with a system for performing measurements on a biological subject, the electrode arrangement including: at least one substrate; and, a plurality of plate microstructures extending from the substrate, the microstructures being configured to breach the stratum corneum of the subject and wherein the microstructures include electrodes to allow signals to be applied to and / or received from the subject via the microstructures.

The invention discloses a numerical calculation method for multi-scale residual stress and application, and belongs to the technical field of residual stress analysis. The calculation method comprises the following steps: (1) according to the structure and the manufacturing process of a component sample, establishing a temperature field calculation model, respectively setting corresponding moving heat source models, and calculating the macroscopic temperature field distribution of the whole component through finite element simulation; (2) establishing a multi-physical mechanism macroscopic residual stress calculation model based on temperature-stress-microstructure coupling, and calculating a macroscopic stress field by using an indirect thermal-mechanical coupling method; and (3) establishing a multi-mechanism mesoscopic and microcosmic residual stress calculation model based on temperature-stress-microstructure coupling by utilizing a sub-model technology, and calculating mesoscopic and microcosmic stress fields. According to the method, microstructure evolution characteristics and macroscopic thermal boundary conditions in the component manufacturing process are coupled, a multi-scale residual stress calculation method based on a multi-physical mechanism is established, and the distribution rule of residual stress is researched from multiple scales.

The invention discloses a preparation method of novel AG (anti-glare) glass. The preparation method comprises the following steps: carrying out surface treatment on a glass substrate; uniformly coating a functional coating on the surface of the glass substrate; uniformly coating photoresist on the surface of the functional coating, and performing soft baking treatment after coating; carrying out graphic design and exposure by adopting a high-precision MASK, and accurately transferring a designed microstructure pattern to the photoresist layer; carrying out developing treatment after exposure, removing the unexposed photoresist part, and forming a predetermined pattern on the glass substrate; the developed photoresist pattern is cured to ensure that the photoresist pattern has enough corrosion resistance and stability in the subsequent etching process; carrying out etching treatment, and removing the unprotected functional coating and the glass substrate to form an accurate microstructure pattern; removing the residual photoresist by using a photoresist removal technology to obtain a final microstructure pattern; and the surface of the microstructure pattern is subjected to functionalization treatment through fluorination treatment, so that the microstructure pattern has anti-glare and anti-fouling properties.

The invention discloses an aluminum electrolytic capacitor state evaluation method and device, and the method comprises the steps: carrying out the frequency scanning measurement of an electrolyte and oxidation film interface, and obtaining the change data of an interface polarization current phase angle along with the frequency; measuring fluid dynamic characteristics of the electrolyte according to the polarization characteristic parameters, and detecting micro-flow response characteristics; according to the flow distribution data and the evolution data, applying a voltage sequence to carry out ion migration kinetic analysis; carrying out microstructure analysis in a preset temperature change process according to the ion distribution characteristics; and according to the structure change data and the dielectric response data, analyzing the change characteristics of the molecular level, the bubble distribution and the overall performance to obtain a stability evaluation result. According to the technical scheme, through multi-dimensional analysis of the interface polarization characteristic, the fluid dynamic characteristic, the ion migration dynamics and the microstructure change of the electrolyte, effective detection of bubbles and layering phenomena in the electrolyte is realized, and accurate evaluation of the performance state of the capacitor is facilitated.

The invention discloses a flexible magnetic tactile sensing device based on a microstructure elastic layer, a three-dimensional force measuring device and a measuring method.The flexible magnetic tactile sensing device comprises a flexible magnetic film, the microstructure elastic layer, a Hall sensor, a PCB and a bottom shell, the Hall sensor is installed on the PCB, and the flexible magnetic film, the microstructure elastic layer, the PCB and the bottom shell are sequentially stacked from top to bottom; the microstructure elastic layer is of a non-planar structure, when the flexible magnetic film deforms due to stress, deformation of the flexible magnetic film is transmitted to the microstructure elastic layer, the change of the three-axis magnetic field intensity is measured through the Hall sensor and uploaded to a PC terminal for data processing, and three-dimensional force measurement is achieved. Three-dimensional force measurement can be achieved, the flexible magnetic film can generate local deformation in the normal direction when normal force is applied, the flexible magnetic film can generate tangential displacement when tangential force is applied, and application scenes suitable for different microstructure elastic layers are provided according to quantitative analysis results.

The invention discloses a thermomechanical treatment method for an Al-Mg-Si alloy rolled plate, and relates to the technical field of aluminum alloys, and the thermomechanical treatment method comprises the following working procedures of fusion casting, head and tail cutting, surface milling, homogenizing heat treatment, temperature-controlled rolling, solid solution quenching and pre-aging treatment, and after a cast ingot obtained by fusion casting of an aluminum alloy raw material is subjected to head and tail cutting and surface milling, the Al-Mg-Si alloy rolled plate is obtained; and after homogenization heat treatment is conducted, temperature control rolling is directly conducted through waste heat, quenching and pre-aging treatment are conducted after temperature control rolling is completed, and the alloy rolled plate is obtained. According to the method, the purposes of saving energy, simplifying the process flow and improving the production efficiency are achieved, the microstructure of a cast ingot can be regulated and controlled, crystal grains are refined, wrong distribution is improved, the strength of a rolled plate is further improved, the problem that mechanical properties are unstable is solved, and the generation of a rib line is avoided.

The embodiment of the invention relates to the technical field of rock mechanics, in particular to a rock micromechanical property determination method, device and equipment, and the method comprises the following steps: carrying out indentation test on a target area on the surface of a rock sample to obtain micromechanical response data of the rock sample; the micro-mechanical response data represents the change relationship between the micro-mechanical response of the rock sample and time; scanning a target area on the surface of the rock sample in the indentation test process to obtain microstructure evolution data corresponding to the micromechanical response data; the microstructure evolution data represents a change relationship between the microstructure of the rock sample and time; and determining the micromechanical properties of the rock sample according to the micromechanical response data of the rock sample and the corresponding microstructure evolution data. According to the embodiment of the invention, the heterogeneous micro-mechanical property of the rock can be accurately represented based on collaborative analysis of the micro-mechanical response and the microstructure of the rock sample at multiple time points, and dynamic, in-situ and quantitative representation of the micro-mechanical property of the rock is realized.

The invention discloses an analysis method and system for a dynamic recrystallization structure form of a titanium alloy based on machine learning and a medium, and belongs to the technical field of metal material microstructure quantitative characterization, a Gleeble thermal compression test is processed on a titanium alloy to be tested, multi-modal data is collected, a DRX probability graph is output based on a DRX segmentation model, and then the characteristics of DRX are extracted. And respectively inputting the DRX features into the first-level classifier, carrying out PCA dimension reduction processing, splicing and fusing the prediction probability and the features after dimension reduction, and inputting the spliced and fused features into a second-level classifier to output a two-dimensional DRX segmentation map. Based on the FIB-SEM tomography sequence image, reconstructing a three-dimensional model of the DRX crystal grain so as to carry out consistency verification on the two-dimensional DRX segmentation image; and evaluating a correlation coefficient of the three-dimensional model and the two-dimensional DRX model, and finally carrying out three-dimensional visualization on the space aggregation of the DRX crystal grains. According to the method, the automation degree and efficiency of dynamic recrystallization proportion and type identification are remarkably improved.

The invention discloses a method for testing corrosion resistance of high-precision stainless steel. The method comprises the following steps: acquiring multi-dimensional microscopic characteristic data of a sample surface and determining a microscopic sensitive area; applying multi-field coupling dynamic excitation to the sensitive area to determine a critical condition for triggering corrosion; triggering initial corrosion according to a critical condition and performing adaptive tracking on an expansion process to obtain spatio-temporal data; monitoring the environmental parameter change of the microcell based on the spatio-temporal data, and analyzing the corresponding relationship between the surface topography change and the environmental parameter change to determine a key condition for forming a feedback amplification effect; and according to the key conditions, executing an accelerated test of multi-level oscillation enhancement, and carrying out stage decomposition treatment to obtain a corrosion resistance prediction result. According to the technical scheme, a dynamic feedback mechanism between the surface microstructure and the corrosion behavior can be accurately disclosed, the problem of evaluation deviation caused by neglecting microstructure evolution in a traditional method is solved, and accurate prediction of the long-term corrosion resistance of the high-precision stainless steel in a complex service environment is achieved.

A double cold rolled non-oriented electrical steel sheet having a composition including, expressed in percentage by weight: 0.0001%≤Carbon≤0.007%, 0.15%≤Manganese≤0.3%, 3.2%≤Silicon≤3.8%, 0.8%≤Aluminum≤1.1%, Phosphorus≤0.15%, Sulfur≤0.006%, Nitrogen≤0.09%, and can contain various optional elements. The remainder composition being iron and unavoidable impurities caused by processing, the microstructure is made of ferrite and has in area fraction, 80% to 100% recrystallized microstructure, 0% to 20% non-recrystallized microstructure wherein the average grain size of recrystallized microstructure is from 20 microns to 110 microns and having a percentage of eddy current losses in total iron losses, measured at 1 T and 400 Hz according to IEC 60404-2 standards, less than 30% when calculated in accordance of Bertotti method and simultaneously having a magnetic polarization at 5000 A / m (J50) from 1.66 T to 1.69 T.

The invention discloses a crack propagation simulation analysis method based on a real-structure thermal barrier coating under cyclic load, which comprises the following steps: creating a finite element model according to a thermal barrier coating sample; setting material attributes and section characteristics in the finite element model; after parameters are set, a thermal cycle load is applied to the surface of the finite element model, analysis is carried out after grid division, and an Odb file is obtained; and copying the finite element model, taking the Odb file as a boundary condition, and carrying out thermal-mechanical coupling to obtain thermal stress and crack expansion conditions after thermal circulation. The analysis method is simple, the real service condition and the microstructure are fitted, the expected research effect is achieved for finite element simulation, and accurate simulation data can be obtained.

The invention discloses a graphite-doped negative electrode material as well as a preparation method and application thereof, and belongs to the technical field of rechargeable secondary battery negative electrode materials. The doped graphite negative electrode material comprises an inner core and a shell on the outer layer of the inner core, the inner core is an element-doped graphite-doped secondary particle; the doping mode of the doped graphite secondary particles is solid phase doping or liquid phase doping; the shell comprises an element-doped carbon coating layer formed by vapor deposition; and the total mass of the doped elements accounts for 0.5-10% of the mass of the doped graphite negative electrode material. According to the doped graphite negative electrode material provided by the invention, the graphite secondary particle core and the carbon coating layer are subjected to element doping treatment, the microstructure of graphite is improved by element doping, and active site defects are formed, so that the diffusion of a charge carrier is facilitated, and the dynamic performance of the material is improved; meanwhile, the graphite layer spacing is enlarged; the carbon coating layer isolates the graphite secondary particle inner core from being in direct contact with the electrolyte, so that the fast charging performance of the doped graphite negative electrode is comprehensively improved in an omnibearing and multi-angle manner.

The invention provides a production method of 440MPa-grade normalized high-strength structural steel for a ship body, and belongs to the field of ship body structural steel manufacturing, the production process route of the steel comprises smelting, die casting, rolling, rapid cooling, finishing, normalizing and tempering, the thickness of a produced steel plate is 8-20mm, and the steel comprises the following chemical components in percentage by mass: 0.06-0.10% of C; si: less than or equal to 0.40%; mn is equal to 0.90%-1.20%; less than or equal to 0.015% of P; s: < = 0.005%; the ratio of Ni to Cr is (0.90%-1.30%): (0.50%-0.65%); v is equal to 0.030 percent to 0.050 percent; cu is equal to 0.15%-0.35%; n is less than or equal to 0.0040%, and the balance is Fe and inevitable impurities. The microstructure of the steel is a bainite tempered structure and ferrite, and the average grain size of the ferrite is smaller than or equal to 10 micrometers. The yield strength of the steel is larger than or equal to 440 MPa, the tensile strength is larger than or equal to 600 MPa, the yield ratio is smaller than or equal to 0.75, the impact absorbing energy at the temperature of 60 DEG C below zero is larger than or equal to 200 J, the ductile-brittle transition temperature is not higher than 80 DEG C below zero, and a product has good corrosion resistance.

The invention provides a drawing simulation method for an anisotropic material, and belongs to the technical field of drawing simulation, and the drawing simulation method comprises the following steps: firstly, measuring a microstructure structure of the anisotropic material, and constructing a constitutive model of a dynamic self-adaptive material; importing the constitutive model into finite element analysis software to form a finite element model of multi-physical field interaction behaviors; importing the finite element model into an adaptive mesh generation algorithm to form a finite element simulation result; performing real-time analysis on a finite element simulation result by using a deep learning algorithm, and outputting an analysis report in a visual chart form; and the die fillet radius, the drawing gap, the blank holder force, the drawing speed, the friction coefficient and the electromagnetic regulation and control parameters are synergistically and dynamically optimized, and the lug rate of the cup-shaped part is obtained according to drawing simulation. According to the deep drawing simulation method for the anisotropic material, the convex lug rate of the cup-shaped part is obtained by constructing the constitutive model and forming the finite element result of the finite element model, so that the convex lug problem of deep drawing of the cup-shaped part is predicted.