42 results about "Microstructure morphology" patented technology

The invention discloses a method for printing a two-dimensional structure of a thermosetting material with controllable surface roughness. The method comprises the following steps: regulating and controlling the rheological property of the extrusion behavior of the selected thermosetting material; calculating and determining the relationship between the deposition morphology of the thermosetting material and the printing parameters, and drawing an H-V phase diagram to determine a critical printing interval for realizing uniform deposition; establishing a single fiber deposition morphology evolution model and a multi-fiber fusion geometric evolution model, and providing a correlation corresponding relation for the fusion degree and the surface microscopic roughness of adjacent deposition fibers, so as to obtain a preset surface microstructure morphology; and according to the required surface roughness, the interface is cured and locked through thermocuring at different fusion stages, so that the thermoset material two-dimensional film with continuously adjustable roughness and a stable structure is obtained. According to the invention, two-dimensional structure printing of any thermosetting material system on any spreading substrate can be realized, and the surface roughness can be continuously and programmably adjusted.

The invention discloses a scheme for realizing strain sensor performance modulation based on laser-induced programming, and belongs to the technical field of flexible electronic device preparation. According to the method, different laser etching schemes are used according to the actual requirements of different application scenes, a substrate is induced to generate a specific microstructure morphology, and the thickness gradient of a surface metal film grown through subsequent chemical plating is influenced through the microstructure morphology. And finally, the stress distribution of the metal film in the stretching process is influenced by the thickness gradient to generate different crack morphologies, and the characteristic adjustment of the resistance change of the sensor is realized through the regulation and control of the crack morphologies. According to the scheme for realizing strain sensor performance modulation based on laser-induced programming provided by the invention, the effect of regulating and controlling the performance of the sensor as required is realized by using different laser etching modes and material proportions.

The invention discloses a method and a device for predicting spatial and temporal distribution characteristics of a microstructure of a nickel-based single-crystal high-temperature alloy under creep-oxidation interaction, and belongs to the technical field of high-temperature structural material service performance prediction.The method comprises the following steps: performing creep tests of different temperatures, stresses and durations based on vacuum and atmospheric environments respectively; obtaining microstructure morphology characteristics and microscopic parameter distribution in the nickel-based single crystal superalloy under different environments and test conditions; quantifying the spatial-temporal distribution evolution law of the volume fractions of gamma'phases in the creep samples under different temperatures and stresses in vacuum and atmospheric environments; establishing a periodic cell element model and a microstructure evolution model; and predicting the spatio-temporal evolution law of the channel width of the gamma-phase matrix in the stress creep sample at different temperatures in the atmospheric environment. According to the method, spatial and temporal distribution of the microstructure caused by interaction of creep and oxidation is considered, a microstructure evolution behavior prediction framework is constructed in combination with a physical mechanism, and the distribution rule of the microstructure is accurately described.

The present invention belongs to the field of target material technology, and specifically discloses a silver alloy target material, its preparation method and application. The raw material components of the silver alloy target material include, by weight percentage: Ag 99.25-99.93%, Ce 0.05-0.55%, aluminum-copper alloy 0.01-0.05%, and manganese-copper alloy 0.01-0.15%. On the one hand, the present invention performs microalloying by adding a certain amount of Ce, Al-Cu alloy and Mn-Cu alloy to Ag; on the other hand, the microstructure morphology is regulated by combining forging and hot rolling treatments during the manufacturing process. Ultimately, without reducing the reflectivity, a significant improvement in anti-sulfurization and oxidation performance is achieved, and the target material has high hardness and is easy to process. The silver alloy target material starts to turn black and sulfurized in 8.0-11.2 hours, starts to turn black and oxidized in 7.5-10.6 hours, and has a Vickers hardness of 97-138.

The present invention belongs to the field of oxide layer thickness analysis, and relates to a method for evaluating the oxide layer thickness around high-temperature holes of film holes in nickel-based single crystal alloys. The angle value of the film holes of the initial sample of the nickel-based single crystal alloy is obtained; the initial sample containing the film holes is subjected to aging tests of different times to obtain metallographic samples, and the microstructure morphology and aging test time of the metallographic samples are obtained; the average thickness of the oxide layer of the metallographic samples is obtained according to the microstructure morphology; and a new oxidation kinetic equation is established by fitting the existing oxidation kinetic equation according to the angle value of the film holes, the aging test time, and the average thickness of the oxide layer. By introducing the angle influencing factor, the present invention can more accurately predict the oxide layer thickness at different angles, more accurately describe the growth law of the oxide layer thickness of nickel-based single crystal alloys under high-temperature aging conditions, and improve the accuracy and reliability of the prediction.

The present application relates to the technical field of titanium alloy material engineering, and particularly relates to a yield strength calculation method based on the microstructure of titanium alloy with basket weave structure. The yield strength of titanium alloy with basket weave structure is divided into matrix strength, solid solution strengthening effect, grain boundary strengthening effect, dislocation strengthening effect and alpha phase precipitation strengthening effect. The present application innovatively designs a more accurate alpha phase precipitation strengthening model, and designs a circumscribed rectangle length-width statistical method and a phase microstructure weighting algorithm based on area for auxiliary statistics. The traditional method converts lamellar alpha phase into an equal-area circle to consider the strengthening effect. The present application fits the lamellar alpha phase into a long-axis rectangular part and a short-axis two-semicircle part. Compared with the traditional method, the yield strength calculation method based on the microstructure of titanium alloy with basket weave structure in the present application is more close to the actual situation, the statistical method is more accurate and reliable, the result has a smaller error with the actual result, and can be used in the engineering technical fields of titanium alloy microstructure design and performance control.

The invention relates to the field of nickel-based superalloy welding manufacturing, in particular to a nickel-based superalloy welding joint structure prediction method based on multi-scale simulation. The method aims at solving the key problems that nickel-based superalloy is poor in weldability, and joint structure simulation and prediction exist in the welding production and manufacturing process. The microstructure evolution process of the nickel-based high-temperature alloy welding joint is quantitatively calculated and analyzed by establishing a multi-scale nickel-based high-temperature alloy welding joint microstructure simulation model, so that the microstructure morphology prediction of the joint under different welding process parameter groups is realized. The multi-scale nickel-based superalloy welding joint structure simulation model is combined with actual welding process conditions, so that the grain morphology can be effectively improved, welding defects are reduced, the joint performance is improved, the service life of the joint is prolonged, and effective guidance can be provided for the welding process and product quality optimization of a nickel-based superalloy welding structure.

This invention discloses a phase-field method for controlling creep microstructure through lattice strain using an interface-based input / output system. This method provides a visual input / output interface, enabling direct input / output of parameters and computational data. By establishing a dual-sublattice thermodynamic model coupled with a crystal phase-field kinetic model, and setting initial kinetic and thermodynamic parameters, the creep microstructure morphology is controlled by altering the coherent mismatch degree between the precipitated phase and the matrix phase, as well as the magnitude of external stress and strain. This invention, while enabling control of creep microstructure morphology, also includes a visual operating interface, making the computer simulation process more convenient and efficient. The combination of the crystal plastic phase-field method and the operating interface module yields rich simulation results, providing theory and methods for establishing the relationship between creep microstructure and strain in high-temperature alloys, as well as for the optimization design of microstructure control.

The invention relates to a preparation method of a titanium alloy super-thick-wall hot-rolled pipe, which comprises the following steps: S1, freely forging a titanium alloy cast ingot into a bar blank, and forging heating number is not less than four; s2, the bar billet is placed in a heating furnace to be heated in a sectional mode; s3, after heating is stopped, the bar is cooled to the room temperature in the furnace; s4, repeating the steps S2-S3 for two to three times; s5, the bar billet is heated again; s6, the heated pipe blank is subjected to cross piercing; s7, the hot-rolled perforated pipe directly enters a heat preservation sleeve; s8, hot air precooling is conducted on the surface of the heat preservation sleeve; s9, the perforated pipe is taken out of the heat preservation sleeve and air-cooled to the room temperature; and S10, the perforated pipe is sequentially subjected to annealing, straightening, machining and flaw detection, and then the finished titanium alloy super-thick-wall seamless pipe is obtained. The titanium alloy super-thick-wall hot-rolled pipe prepared through the method has the dual-state structure morphology, meanwhile, the high surface quality and the high yield are achieved, and more excellent deformation performance is provided for subsequent machining.

This invention discloses a method for printing two-dimensional structures of thermosetting materials with controllable surface roughness, comprising: controlling the rheological properties of the extrusion behavior of a selected thermosetting material; calculating and determining the relationship between the deposition morphology of the thermosetting material and printing parameters, and plotting an H-V phase diagram to determine the critical printing range for achieving uniform deposition; establishing a single-fiber deposition morphology evolution model and a multi-fiber fusion geometric evolution model to provide a correlation between the degree of fusion of adjacent deposited fibers and the surface micro-roughness, thereby obtaining a preset surface microstructure morphology; and, according to the required surface roughness, solidifying and locking the interface through thermal curing at different fusion stages to obtain a continuously adjustable and structurally stable two-dimensional film of thermosetting material. This invention can realize the printing of two-dimensional structures of any thermosetting material system on any spread substrate, and can continuously and programmably adjust the surface roughness.

The invention discloses an HAR microstructure morphology restoration method based on a modulation aberration data model, which avoids using expensive devices such as a deformable mirror to compensate aberration in the process of measuring a microstructure by near-infrared microscopic interferometry, avoids an aberration detection link, achieves transient response and accelerates the characterization process of a sample to be detected. On the basis of a BP neural network, a modulation aberration data network is constructed, errors are transmitted layer by layer through training, so that network parameters are corrected, a modulation aberration data model is constructed and optimized, required modulation aberration data are obtained through prediction according to characteristic parameters of a sample to be tested, a virtual phase filter is constructed, and accordingly aberration of an HAR microstructure interferogram is corrected. And finishing the morphology restoration of the HAR microstructure. The modulation aberration data model is continuously iterated and updated, accidental errors are avoided, and the robustness of the correction algorithm is higher.

The invention discloses a 3D printing deposition layer microstructure morphology prediction method which comprises the following steps: firstly, carrying out a multilayer deposition physical experiment, and collecting experimental data; building a finite element simulation model based on a physical experiment, and carrying out machine learning model calibration; building a machine learning model, and predicting by using the machine learning model to obtain a cooling rate matrix; the cellular automaton iteratively simulates a crystal grain evolution process based on a cooling rate matrix predicted by a machine learning model, and microstructures are predicted; according to the method, deep learning and the cellular automaton are combined to predict the microstructure morphology of the 3D printing deposition layer, and the problems that in the prior art, microstructure prediction depends on complex physical modeling, efficiency is low, and adaptability is poor can be solved.

The invention discloses a preparation method of an ultra-thin electrolytic copper foil, and belongs to the field of electronic circuits and lithium ion battery copper foils. According to the method, a non-traditional conductive material is used as a carrier, and the ultra-thin electrolytic copper foil is prepared in a chemical plating mode and an electro-deposition mode in sequence. The non-traditional conductive material is one or more of glass, ceramic and plastic. According to the novel preparation process, materials with different surface roughness are adopted as carriers, introduction of a stripping layer in a traditional process can be abandoned, and a series of production problems caused by the stripping layer and the problems of impurity invasion, failure and the like caused by introduction of heterogeneous substances are avoided; and the surface performance of the ultra-thin copper foil can be further regulated and controlled by controlling the subsequent electro-deposition process so as to meet different application scenes (thickness, roughness, tensile property and the like), the microstructure morphology of the copper foil can be further regulated and controlled by adding an additive into the plating solution, and the method has high industrial application value.

The present disclosure is applicable to the technical field of solar power generation. Provided are a solar cell and a photovoltaic module. The solar cell comprises a silicon substrate, wherein the rear surface of the silicon substrate is provided with a first texture structure; and a side face of the silicon substrate is provided with a second texture structure, both the first texture structure and the second texture structure presenting a frustum-like microstructure morphology, the first texture structure comprising several first micro-polygonal frustums, the second texture structure comprising several second micro-polygonal frustums, and the size of each first micro-polygonal frustum being smaller than the size of each second micro-polygonal frustum. By means of the above arrangement, texturing is first performed on the front, back and side faces of the silicon substrate to generate the first texture structure, and then etching is performed again on the basis of the first texture structure on the side face of the silicon substrate to generate the second texture structure, so as to etch away an emitter layer material and a doped polysilicon layer material that have permeated and spread to the side face of the silicon substrate, thereby preventing a short circuit from being caused by an emitter layer and a doped polysilicon layer on the back face coming into contact on the side face of the silicon substrate.

This invention relates to the field of heat treatment technology for metallic materials, and discloses a method for controlling the microstructure and mechanical properties of welded thick titanium alloy plates. The method includes the following steps: providing a titanium alloy welded joint obtained by a narrow-gap welding method; performing stress-relieving annealing on the welded joint to obtain a primary part; and subjecting the primary part to a secondary annealing heat treatment in the two-phase region of the titanium alloy, the secondary annealing heat treatment comprising multiple cycles of heat treatment to eliminate acicular martensite in the fusion zone of the primary part and to equiax the acicular structure, thereby obtaining a finished part. This invention can effectively eliminate acicular martensite within coarse grains in the fusion zone of the welded joint, promoting the transformation of the acicular structure into a uniform and fine equiaxed structure, effectively improving its strength and plasticity, and significantly improving the microstructure morphology and mechanical properties of the fusion zone.

This invention relates to a superlens and its manufacturing method. The method includes: obtaining a wafer; the wafer comprising a substrate, a target layer on the substrate, a silicon nitride layer with openings in the target layer, and a hard mask material filling the openings; removing the silicon nitride layer by wet etching with an etchant under target heating conditions, the etchant being phosphoric acid with added bubble-generating agent, the bubble-generating agent decomposing to generate bubbles under the target heating conditions; and etching the target layer using the hard mask material as an etching mask to form multiple columnar microstructures. This invention adds a bubble-generating agent that decomposes upon heating to the phosphoric acid used for wet etching of the silicon nitride layer. The bubbles create turbulence in the etchant, promoting mass transfer and preventing the aggregation of silicate etching byproducts, effectively controlling the precipitation at the ends of the hard mask material, thereby obtaining a good columnar microstructure morphology.

The invention relates to a nickel-based single-crystal high-temperature alloy heat treatment process optimization method based on high-throughput experiment and machine learning, which comprises the following steps: constructing a multi-section solid solution temperature-time gradient window by taking as-cast nickel-based single-crystal high-temperature alloy as a starting point; batch vacuum-packaged samples in the window are synchronously fed into the furnace, are heated section by section, are immediately quenched after heat preservation, and are quickly frozen to corresponding tissues; measuring the Re element segregation ratio, the shrinkage porosity and porosity ratio and the eutectic content ratio of each section of the sample, and establishing a temperature-time-tissue data set; and inputting the optimal heat treatment parameters into a machine learning model for training, carrying out cross validation and fusion, reversely predicting the optimal heat treatment parameters capable of simultaneously meeting target tissue indexes, and finally verifying an optimization effect through a high-temperature mechanical test. Compared with the prior art, the method has the advantages that the element segregation improvement and microstructure morphology of the solid solution product are quickly learned by utilizing machine learning, so that the optimal solid solution process or heat treatment process of the single-crystal high-temperature alloy can be quickly predicted.

The application discloses Janus structure MXene-CNF aerogel as well as a preparation method and application thereof. The Janus structure MXene-CNF aerogel comprises a CNF layer and a MXene-CNF layer, wherein the CNF layer and the MXene-CNF layer can be self-assembled to form a Janus structure. The Janus structure MXene-CNF aerogel provided by the application is composed of the CNF layer with a porous microstructure morphology, low thermal conductivity, low light absorbance and high infrared emissivity, and the MXene-CNF layer with a sheet layer microstructure morphology, higher thermal conductivity, high light absorbance and low infrared emissivity, and can be widely applied to the thermal management field through the difference of the double-layer optical properties, physical properties and thermal conductivity, and meanwhile, the preparation process is simple, green, energy-saving and low in price, and can meet the demand of industrial production.

The present application belongs to the technical field of numerical simulation of microstructure evolution in additive manufacturing process, and provides a method for predicting microstructure morphology of alloy solidification based on a phase field-lattice Boltzmann method multi-scale model.The present application introduces laser parameters and alloy parameters into a flow and heat transfer model of a macroscopic molten pool, extracts parameters of a local position in the macroscopic molten pool that needs to be simulated, substitutes the extracted parameters into a phase field-lattice Boltzmann model, obtains microstructure simulation data packets for visual processing, and obtains the microstructure morphology of alloy solidification.The method of the present application is a multi-scale method, is directed to additive manufacturing, and can more comprehensively establish a connection between process parameters and microstructure.Based on the phase field-lattice Boltzmann model, the influence of flow is considered in the process of microstructure growth, and the result is more accurate.The present application can effectively simulate the mechanism of the effect of the flow field on the dendrite front in the process of dendrite growth, and can simulate how the flow field affects the solute distribution at the dendrite tip.

The invention relates to a method for preparing a high-durability three-dimensional graphene-based nano coating heat transfer surface based on femtosecond laser direct writing, and belongs to the field of efficient heat transfer material preparation. The method comprises the following four steps: (1) grinding, polishing and cleaning the surface of metal copper; (2) preparing metal substrates with different microstructure morphologies by controlling femtosecond laser processing parameters; (3) preparing a graphene-based nano-coating distributed in a three-dimensional space on the surface of the microstructure by controlling boiling parameters of the nano-fluid; (4) the boiling surface of the prepared graphene oxide nano coating distributed in the three-dimensional space has excellent heat transfer characteristics, CHF reaches 236.9 Wcm <-2 >, the maximum HTC reaches 10.7 Wcm <-2 > K <-1 >, and the heat transfer performance of the surface of the graphene-based nano coating is further improved; and (5) the surface of the prepared graphene oxide nano coating distributed in the three-dimensional space has good stability and durability in an actual working environment. The boiling surface of the graphene-based coating prepared by the method has excellent characteristics, also has the characteristics of good stability and durability, simple preparation method, low cost and controllable three-dimensional space morphology, and has wide industrial application prospects.

The invention discloses a zinc-aluminum-magnesium coated steel plate and a preparation method thereof. The zinc-aluminum-magnesium coated steel plate comprises a steel plate base material and a zinc-aluminum-magnesium coating attached to the surface of the steel plate base material. By accurately controlling the heat transfer process, the phase change behavior, the diffusion behavior and the microstructure morphology of the coating alloy, the surface hardness, the adhesiveness, the welding performance, the mechanical strength and the forming performance of the coating are remarkably improved, and the method is suitable for production of high-performance metal protective coatings in the industrial fields of automobiles, buildings, household appliances and the like; the problems that an existing zinc-aluminum-magnesium coating is uneven in structure, unstable in corrosion resistance, poor in welding performance, poor in surface scratch resistance and the like are solved, and a new thought is provided for development of high-end coating products.

A residual stress cross-scale analysis method for a laser additive manufacturing large-size component comprises the following steps that based on feature driving model shape simplification and large-size complex geometric component temperature and residual stress field analysis of a macroscopic thermal-mechanical coupling finite element, a three-dimensional component model is established, and a thermal-mechanical coupling finite element model is optimized; a double-ellipsoid laser heat source model is adopted, simulation calculation is conducted through a three-dimensional transient heat conduction equation, and evolution characteristics and distribution data of a temperature field and a residual stress field in the LP-DED process are obtained; and carrying out microscopic residual stress analysis based on the CP model of the coupled phase field damage PF model and the actual microstructure morphology representative volume element model RVE, and transplanting the obtained spatio-temporal evolution characteristics and distribution data of the macroscopic residual stress field to the mesoscopic CP model as predefined field variables through deep embedding coupling of the PF model and a CP constitutive framework. And establishing a cross-scale transmission analysis channel from the macroscopic stress field to the mesoscopic structure response so as to predict the multi-scale collaborative residual stress.

The invention discloses a method and system for evaluating the grain size of an invar alloy forge piece, and the method comprises the following steps: S1, designing heat treatment process parameters based on differential thermal analysis data of an invar alloy and a precipitated phase evolution rule obtained by a scanning electron microscope, and preparing invar alloy samples with different grain sizes; s2, detecting by an ultrasonic longitudinal wave vertical incidence method, and extracting a frequency domain characteristic value of an ultrasonic signal; s3, the microstructure morphology of the invar alloy sample is obtained, and a twin crystal feature recognition strategy is established in combination with the precipitated phase morphology; s4, obtaining an influence rule of microstructure change of the invar alloy sample in a tissue evolution process on the frequency domain characteristic value, and researching a mapping rule between an ultrasonic signal and a defect depth; and S5, constructing an ultrasonic time-frequency domain multi-feature fusion evaluation model for the grain size and the macroscopic defect of the invar alloy. The method solves the problem that an existing linear model with a single ultrasonic parameter is difficult to accurately characterize the grain size change of the invar alloy.

The invention discloses a double-phase titanium alloy and a preparation method and application thereof, and relates to the technical field of alloy materials. The double-phase titanium alloy provided by the invention is prepared from the following components in percentage by mass: 3.0 to 5.0 percent of aluminum, 3.0 to 4.0 percent of chromium, 3.0 to 6.0 percent of vanadium, 2.0 to 4.0 percent of molybdenum, 1.0 to 2.0 percent of tin, 3.0 to 6.0 percent of zirconium and the balance of titanium and inevitable impurities. According to the invention, the combined action of various elements is combined, the content of each element is controlled, and the microstructure form is precisely regulated and controlled, so that the double-phase titanium alloy with stress-induced phase change toughening characteristic and high strength and high work hardening capability is obtained, the work hardening and plastic deformation capabilities of the titanium alloy under high strength are effectively improved, and the working strength of the titanium alloy is improved. Meanwhile, the excellent characteristics of high strength, high plasticity and toughness, high work hardening capacity, low yield ratio and the like are achieved. The preparation method is simple and easy to implement, and subsequent treatment such as aging is not needed. The method has extremely high application value in the fields of aerospace, biomedical treatment and the like.

The invention provides a stress relaxation behavior prediction method, system and device and a medium, and the method comprises the steps: analyzing the microstructure morphology change of a target material before and after stress relaxation, and determining a stress relaxation mechanism of the target material; establishing a stress relaxation damage model according to a stress relaxation mechanism; performing a high-temperature accelerated stress relaxation experiment on the target material to obtain stress relaxation behavior characterization parameters of the stress relaxation damage model in a high-temperature environment; according to the stress relaxation behavior characterization parameters of the stress relaxation damage model in the high-temperature environment, stress relaxation behavior characterization parameters of the stress relaxation damage model in the low-temperature environment are calculated. According to the method, the stress relaxation behavior of the material can be well represented, and the stress relaxation response of the material can be well predicted in a relatively large temperature range. According to the high-temperature acceleration experiment, the short-time stress relaxation behavior at the high temperature is extrapolated into the long-time stress relaxation behavior at the low temperature, and the time cost required by the experiment can be reduced to a great extent.

The invention belongs to the technical field of non-ferrous metal composite material preparation, and discloses semi-solid squeeze casting equipment and a method for preparing a graphene oxide reinforced magnesium-based composite material. Graphene oxide is adopted as a reinforcement body of a magnesium alloy, and GO-Al mixed powder is prepared through a wet powder mixing process; gO-coated Al mixed powder is sintered into a GO-coated Al composite block through an SPS discharge plasma sintering furnace, and finally V-shaped powder mixing, semi-solid magnesium alloy slurry preparation and semi-solid extrusion casting forming are conducted through semi-solid extrusion casting equipment, so that the graphene oxide reinforced magnesium-based composite casting is obtained. The prepared graphene oxide reinforced magnesium-based composite material is good in internal structure compactness and free of shrinkage cavities, shrinkage porosity and other defects, the microstructure morphology is mainly spherical crystals in a non-dendritic morphology, the grain size is smaller than that of a conventional extrusion casting magnesium alloy, graphene oxide is evenly dispersed in a magnesium matrix, interface bonding is good, and the mechanical property is good. And various mechanical properties are obviously improved.

The invention relates to a tungsten-nickel-tantalum alloy microstructure morphology etchant and application thereof.The tungsten-nickel-tantalum alloy microstructure morphology etchant comprises water, aqua regia, hydrofluoric acid and sulfuric acid, aiming at the characteristics that tungsten-nickel-tantalum alloy is high in corrosion resistance and different in crystalline phase corrosion rate, through functional complementation and reaction balance of multiple components, the corrosion resistance of the tungsten-nickel-tantalum alloy is improved, and the corrosion resistance of the tungsten-nickel-tantalum alloy is improved. The method realizes rapid and accurate corrosion of the tungsten-nickel-tantalum alloy, clearly presents the microstructure morphology of the alloy, is suitable for detection of the alloying degree of the tungsten-nickel-tantalum alloy in the fields of aerospace, nuclear industry, medical treatment and the like, and provides reliable technical support for performance evaluation of such materials.

This invention provides a method for evaluating the α-lamella thickness and mechanical strength of TC4 ELI titanium alloy, which is of guiding significance for heat treatment-controlled microstructure and mechanical properties of TC4 ELI titanium alloy. The real-time heat treatment temperature-time-α-lamella thickness model constructed in this invention, and the revealed parameters of α-Ti lamellar coarsening rate and diffusion activation energy, can, on the one hand, predict the α-Ti lamellar thickness, solving the problem of precise control of the α-Ti lamellar microstructure size in titanium alloys and providing a reliable basis for heat treatment-controlled α-Ti lamellar microstructure size; on the other hand, it can evaluate the changes in the microstructure morphology of the α-Ti lamellar microstructure of titanium alloys at high temperatures, providing a new method for evaluating the mechanical properties of titanium alloys. Simultaneously, the α-lamella thickness-tensile yield strength model constructed in this invention can evaluate the mechanical strength of the alloy, providing a reliable basis for heat treatment-controlled mechanical properties of titanium alloys.

The invention provides an on-site metallographic grinding and polishing device and method for a pressure-bearing tanker. The on-site metallographic grinding and polishing device comprises a rotating magnetic base, the rotating magnetic base is rotationally provided with a supporting stand column, and the supporting stand column is slidably connected with a supporting base; the height adjusting mechanism comprises a first kidney-shaped hole formed in the supporting base, a first threaded hole formed in the supporting stand column and a first screw, and the first threaded hole and the first screw are formed in the supporting stand column. The grinding and polishing angle and position are accurately and stably adjusted and locked, the instability of manual operation is overcome, a uniform and flat grinding and polishing surface can be obtained in cooperation with elastic pressing and reciprocating motion of the reciprocating motion mechanism, artifacts such as scratches, trailing and overheating tissue damage are effectively avoided, and therefore it is ensured that the obtained microstructure morphology is real and clear, and the quality of the microstructure is improved. And a reliable guarantee is provided for accurately analyzing the welding seam quality, the crack property and the process rationality.