57results about "Testing metal structures" patented technology

The application discloses a slag washing desulfurization calcium treatment process, which comprises the following steps: (1) detecting calcium wire for calcium treatment: the method comprises sample preparation, dissection and analysis; the filling of reduced iron powder and the bonding state of calcium particles, the pressure pit of internal iron sheet, the particle size of iron powder and the observation and data information comparison of the weight of the two kinds of powder should be observed from the cross section and the section; the metallurgical effect of calcium treatment is preliminarily judged according to the influencing factors; (2) strictly controlling the particle size of reduced iron powder and the suitable ratio of calcium particles and reduced iron powder, and selecting calcium wire meeting the requirements to be put into the slag washing desulfurization process; the calcium wire selected by the above detection method can make the wire feeding speed stable at 4-4.5 m / s, so that the wire feeding speed is not reduced due to flash explosion and spatter, and the stability of production is ensured.

Provided is an evaluation method for obtaining steel with stable quality. The steel evaluation method includes: a process of measuring a surface of steel with an electron probe micro analyzer to obtain mapping data of a base composition; a process of obtaining mapping data of an Ms temperature from the mapping data of the base composition; a process of binarizing the mapping data of the Ms temperature; a process of obtaining a first main component and a second main component by main component analysis of the mapping data of the Ms temperature which has been subjected to the binarization processing; and a process of evaluating dimensional change characteristics of the steel on the basis of a relationship between the first main component and the second main component.

The application discloses a method for P92 steel grain size detection, comprising the following steps: S1, sample preparation, grinding and polishing the P92 steel sample to a bright mirror surface; S2, etching treatment, etching the sample surface by using an etching reagent; S3, grain boundary activation, placing the etched sample in a functional polishing liquid containing a surfactant and a complexing agent for short-time polishing, and simultaneously applying a weak anode current for electrochemical auxiliary activation; and S4, microscopic observation and rating. Through the organic combination of the chemical-mechanical synergistic effect of the functional polishing liquid and the electrochemical auxiliary activation, the P92 steel grain boundary is actively enhanced, clear grain boundaries can be directly obtained under 100 times magnification, the detection efficiency is high, the reproducibility is good, and the method is suitable for quality rating of P92 steel components in the fields of electric power and petrochemical industry.

The application discloses a prior austenite grain boundary display method for a steel for a high-pressure end of a steam turbine rotor and belongs to the technical field of metallographic detection. A surface treatment is performed on a steel sample to be detected to obtain a metallographic sample without visible scratches on the surface; the metallographic sample is subjected to electrolytic corrosion, washing and metallographic observation; wherein the electrolyte is a mixture of phosphoric acid and sulfuric acid, and the electrolysis parameters are 14-16 V direct current voltage and electrolytic corrosion for 50-70 s. The application utilizes a customized acid electrolyte, realizes controllable and selective corrosion under optimized electrochemical conditions by utilizing the microscopic difference in chemical activity between the prior austenite grain boundary and the surrounding bainite matrix, and thus safely and efficiently reveals the grain boundary network which is crucial to the material performance.

The application relates to the field of a test method for the uniformity of a carburizing and quenching system, in particular to a method for evaluating the uniformity of a shaft furnace carburizing and quenching system, and discloses a method for evaluating the uniformity of a shaft furnace carburizing and quenching system, which comprises the following steps: selecting different steel materials according to different functional parts of the shaft furnace carburizing and quenching system; arranging detection points in the functional parts, a plurality of detection points are arranged in each layer, and the positions of the detection points in each layer are different; placing the steel materials on the detection points; processing the steel materials through the functional parts, and detecting the steel materials after the processing is completed; comparing the average value obtained by counting the detected values with a standard value, if the average value meets the standard value, the uniformity of the functional part is better, otherwise, the uniformity is poorer. The method solves the problem that the effective hardening layer depth uniformity of the entire production system of the shaft furnace carburizing and quenching system cannot be evaluated when a workpiece passes through the shaft furnace carburizing and quenching system, and achieves the effect of performing uniformity detection on the entire production system of the shaft furnace carburizing and quenching system.

The invention provides a simple, reliable, convenient and feasible sample preparation method for fully exposing excess crystal phase particles at different positions in an aluminum alloy deformed material. The technical problem that ultrasonic flaw detection, three-dimensional metallographic structure observation and other means cannot accurately and objectively measure and analyze the spatial distribution characteristics of the micron-sized crystal phase particles in the deformed aluminum alloy material is solved, and the measurement and analysis method for judging whether the crystal phase particles are aggregated and distributed or not is provided. The invention provides a statistical calculation method for evaluating the distribution uniformity of crystal phase particles. By utilizing the technical means of the invention, the spatial distribution characteristics of the excessive crystal phase particles in the aluminum material can be efficiently and accurately determined and analyzed, and the method can be used for further optimizing the spatial distribution characteristics of the excessive crystal phase particles in the aluminum material by virtue of a reasonable process regulation and control means. The necessary, objective and accurate method for obtaining the spatial distribution characteristic parameter data of the excessive crystal phase particles is provided for finally greatly improving the comprehensive performance of the aluminum material.

According to the copper alloy strip residual stress rapid evaluation and improvement method based on stress feedback, a warping measurement value is accurately mapped into a stress gradient parameter through a deformation and stress conversion model, and the aging bottleneck of a traditional method is broken through; according to the method, a double-track regulation and control mechanism driven by a delta sigma threshold value is constructed, medium and low stress regions are passivated and homogenized by means of cerium salt grain boundaries, a high stress region is subjected to targeted shape protection by means of a cerium salt and thiomalic acid composite film, dialectical unification of stress release priority and overall etching efficiency is achieved on the molecular level, and a scientific and efficient stress management and control mode is provided for copper alloy strip manufacturing.

Provided are a steel etching method that enables a microstructure to be analyzed conveniently and with good precision, a method for preparing a sample for optical microscope observation, a steel etching solution set, and an etching device.　Provided is a steel etching method that includes a first etching step for performing electrolytic etching of steel in a basic solution having a pH greater than 7.0, and a second etching step for performing etching in which the steel is brought into contact with an acidic solution having a pH less than 7.0 after the first etching step. The pH of the basic solution may be 13.0 or higher, and the basic solution may be a KOH aqueous solution. The electric current density during the electrolytic etching can be set to 0.5 A / cm2 or greater. The steel may have martensite and ferrite.

The application discloses a kind of aviation tow cable service life evaluation method and system based on correction model, belong to aviation equipment field, this method includes: according to ground basic life test data and preset failure criterion, determine the basic allowable number of times of use of aviation tow cable under current ground test condition;The load and the take-up and pay-off speed applied in ground test are compared with the load and the take-up and pay-off speed of aviation tow cable in actual operation in the air, to obtain the first correction coefficient;The ground test environment parameters of ground test environment are compared with the actual environment parameters of actual environment in the air, to obtain the second correction coefficient;The basic allowable number of times of use, the first correction coefficient and the second correction coefficient are combined to calculate the predicted service life of aviation tow cable under actual use condition in the air.

The application discloses a steel structure performance detection method and system, and relates to the technical field of steel structure detection, and comprises the following steps: acquiring original detection data collected by sensors deployed in key areas of a steel structure; preprocessing and compressing the original detection data; processing the compressed original detection data by using a flow mode decomposition algorithm, and extracting a low-dimensional condensed feature vector; based on a lightweight diagnosis model, analyzing the condensed feature vector by using the lightweight diagnosis model to obtain a state diagnosis result of the steel structure. The data transmission amount and cloud dependence are greatly reduced. By combining the strategies of "cloud end meta-learning pre-training" and "edge small amount of data fine-tuning", the diagnosis model has extensive prior knowledge and can accurately adapt to the unique characteristics of a specific structure, solves the model adaptation problem under a small sample, significantly improves the diagnosis accuracy, guarantees high precision, and has high calculation efficiency and strong self-adaptation ability.

For non-destructively measuring the yield strength of a metallic member using magnetic incremental permeability, a quasi-static excitation magnetic field is applied to two points of the metallic member, while a small alternating magnetic field generated by a transmitting coil is applied to the metal member. Intensity of the quasi-static excitation magnetic field applied to the metallic member is measured using a Hall sensor. The magnetic field induced by the magnetized metallic member is detected using a sensing coil. Using signals from the Hall sensor and the sensing coil, a reversible permeability (MIP) of the metallic member is obtained. A grain size of the metallic member is obtained from the relationship between the reversible permeability and the grain size of the metallic member, and the yield strength of the metallic member is calculated using the grain size. The grain size and yield strength of the metallic member can be measured non-destructively.

The utility model discloses casting strength detection equipment based on food processing, which comprises a detection device, the inner wall of the detection device is connected with a lifting frame in a sliding manner, the lifting frame is internally provided with a medicine dripping device and a clamping mechanism, and the clamping mechanism comprises a fixed plate fixedly connected to the left side of the top of the detection device. The surface of the inner wall of the fixing plate is movably connected with a lead screw through a bearing, the surface of the lead screw is in threaded connection with a clamping plate, the inner wall of the clamping plate is slidably connected with a limiting rod, and the left side and the right side of the limiting rod are fixedly connected to the right side of the fixing plate and the left side of the detection device respectively. When the device is used, under the action of the clamping mechanism, the driving mechanism, the transmission mechanism and the linkage mechanism, the strength of the stainless steel casting for food can be detected more quickly and conveniently, the inconvenience that the casting is clamped manually and the dropping height cannot be adjusted is avoided, and the device has the advantage of being convenient to use.

The present application relates to the technical field of machine learning, in particular to an aluminum-vanadium alloy performance evaluation method based on deep learning for aerospace, comprising the following steps: obtaining a microscopic image to judge the structure boundary, comparing the gray difference direction before and after disturbance, screening the stable area combined with stress change, extracting the response path and marking the interference path, and generating the aluminum-vanadium alloy performance evaluation result.In the present application, the grain boundary graph is constructed by extracting the gray scale mutation, the disturbance propagation area is identified based on the consistency of the boundary point direction, the coupling position is extracted by superimposing the stress change graph, the corresponding relationship between the disturbance and the stress is established, the channel propagation structure is constructed by extracting the image response path, the interference path is classified and marked to generate the enhanced path set, the grain boundary recognition is more complete, the disturbance and stress matching is more accurate, the response path structure is more continuous, and the linkage analysis capability between the microstructure and the image data is effectively improved.

The invention relates to the technical field of solid hydrogen storage, in particular to a method and system for judging the hardening degree of a pulverized solid hydrogen storage alloy material. The method comprises the following steps of: observing a morphology picture of the lower part of the device in a cyclic hydrogen charging and discharging experiment reaction process, simultaneously detecting strain at a connecting line of centers of two integral flanges in a symmetrical first shooting unit, and finding that when a newly added microcrack appears, a corresponding strain sudden increase point 1; when the newly added microcracks are further thickened, a strain sudden increase point 2 is formed; when the cracks are completely closed after the primary circulating hydrogen charging and discharging experiment, the particles are further hardened, and at the moment, the corresponding strain sudden increase point 3 is obtained; therefore, an obvious corresponding relation between fracture evolution and strain growth can be found, and the strain accumulation condition of the reaction bed can be accurately evaluated by monitoring fracture change.

Method for monitoring the structural health of a nickel-based superalloy part, comprising the steps of: estimating (S101) a local strain distribution ε, temperature T, and strain rate within the part; estimating (S102) a local dislocation density ρ within the part based on the local strain distribution ε, temperature T, and strain rate; and determining (S103) the local presence of a structural anomaly when the local dislocation density ρ is outside a predetermined range of values. Fig. 1.

The present invention relates to a method of determining the elemental inhomogeneity of a continuously cast metal by laser-induced breakdown spectroscopy.

A method for analyzing steel materials that can automatically analyze steel materials, a method for creating a strength prediction model for steel materials, a program, and a steel material analysis device are provided. [Solution] The method for analyzing steel includes: a first acquisition step (S1) of acquiring the average grain size, strength and manufacturing conditions of the steel's microstructure; a calculation step (S2) of calculating the Hall-Petch parameters of the steel by inputting the acquired average grain size, strength and manufacturing conditions into a microstructure determination model with Hall-Petch parameters as the objective variable; and a determination step (S3) of determining whether the steel contains at least one of the martensite phase and the bainite phase based on the calculated Hall-Petch parameters of the steel.

The invention discloses an intelligent metal material fatigue evolution analysis system, which belongs to the technical field of material analysis and comprises a metal material data acquisition module, a metal material data preprocessing module, a metal material fatigue feature extraction module, a metal material fatigue feature evolution analysis module and an intelligent fatigue evolution analysis module. The method specifically comprises the following steps: obtaining a two-dimensional calibration feature according to an environmental impact factor and a time step attention weight, constructing a fatigue priori vector, sampling a fatigue priori embedded feature, and optimizing through a residual attention mask to obtain a fatigue residual optimization feature; generating a multi-scale position coding matrix according to the adaptive adjustment coefficient, obtaining a priori-position collaborative fusion feature matrix, extracting an exclusive priori vector, obtaining a final feature through a core feedforward branch and an adaptive gating branch, and generating a prediction label, thereby effectively improving the reliability and accuracy of fatigue evolution analysis of the metal material.

The invention belongs to the technical field of suspension bridge sling tests, and discloses a suspension bridge straddle type sling tension-bending-torsion friction corrosion fatigue test device and method, and the device comprises a rack module, a driving module, an environment simulation module and a data acquisition and processing module. The rack module comprises a plurality of supporting stand columns, a middle cross beam, a supporting platform, two vertical beams, a top cross beam and a rack top plate. The driving module comprises a servo controller, a servo electric cylinder and a heavy load rotary table; the driving module further comprises a ball screw mechanism and a sling groove, the sling groove is sleeved with the middle of the sling, and the data collecting and processing module comprises a first tension sensor, a second tension sensor, a first high-speed camera, a second high-speed camera and a third high-speed camera. Through cooperation of multiple modules, the functions of fatigue loading, bending simulation, torsion application, corrosion environment simulation and the like are integrated, and the multi-factor coupling effect of tension, bending, torsion, friction, corrosion and fatigue is accurately reproduced.

A method, program, and apparatus for creating a metal material microstructure analysis model capable of automatically calculating the characteristic quantities of particles constituting the structure of a metallic material are provided. [Solution] The method for creating a metal material microstructure analysis model is a method for creating a metal material microstructure analysis model that automatically performs phase classification to analyze the structure of a metal material, and includes: an acquisition step (S1) for acquiring characteristic values ​​and manufacturing conditions of the metal material; a determination step (S2) for determining acquisition conditions for acquiring a microstructure image of the metal material; an adjustment step (S4) for adjusting a microstructure image that satisfies the determined acquisition conditions so that the peak, minimum, and maximum values ​​of the brightness distribution fall within a predetermined grayscale range; and a model creation step (S5) for creating a metal material microstructure analysis model in which the characteristic quantities of particles in the adjusted microstructure image are the objective variables and the acquired characteristic values ​​and manufacturing conditions of the metal material are the explanatory variables.

The invention discloses steel structure state detection equipment for bridge maintenance, and belongs to the technical field of steel structure detection, the steel structure state detection equipment comprises a bottom bearing assembly, a telescopic assembly, an opening and closing driving assembly and a state detection assembly, the state detection assembly comprises a half-buckle track ring and an opening splicing ring, the semi-buckling track ring and the opening splicing ring can be spliced into a closed circular ring, and threading rings are fixed to the outer side of the semi-buckling track ring and the outer side of the opening splicing ring. Through cooperative arrangement of the opening splicing ring and the half-buckle track ring, the opening splicing ring is opened from one end of the half-buckle track ring through the link assembly and the reset assembly, and the problem that an existing detection device needs to be manually disassembled when passing through structural parts such as a lug plate and a pipe frame is solved; the follow-up connecting block can drive the detection device to move around the semi-buckling track ring and the opening splicing ring through the gear track to detect the state of the bridge steel arch, and can also be matched with the buckling pin to install the detection device on a steel arch detection point position.

The present invention relates to a method for defining the microstructure of steel during hot rolling comprising at least three passes, comprising the steps of: a) defining a representative grain size value for said steel before a first rolling pass; b) At the end of the first interpass, - the ratio of recrystallized to non-recrystallized grains, - defining representative grain sizes and dislocation densities of the recrystallized grains and the non-recrystallized grains; c) At the end of the second interpass, - the ratio of different types of particles, - defining a representative grain size and dislocation density of said grains; d) before the third rolling pass, - the ratio of representative recrystallized and non-recrystallized grains, - defining a defined representative recrystallized grain and a defined representative non-recrystallized grain.

This invention provides a data preprocessing method applied to microstructure images before inputting them into a trained model, enabling the automation of average crystal grain size prediction. [Solution] The data preprocessing method includes the steps of: generating multiple cropped images with different image sizes from a microstructure image; resizing the image size of each of the multiple cropped images to the image size of the input image data to generate multiple pre-input images; inputting the multiple pre-input images into a trained model to obtain pre-predicted values ​​of multiple average crystal grain sizes and relating the image size of each of the multiple cropped images to each of the pre-predicted values ​​of the multiple average crystal grain sizes; and determining the optimal image size from among the image sizes of the multiple cropped images based on the pre-predicted values ​​of the multiple average crystal grain sizes and the image sizes of the multiple cropped images, and cropping the microstructure image to the optimal image size.

A method for detecting the recrystallization of a single-crystal superalloy blade, characterized in that it comprises: establishing a database for the recrystallization of single-crystal superalloys; performing creep tests under preset conditions on recrystallized single-crystal superalloy creep specimens with different recrystallization area fractions and maximum recrystallization depths under the same test conditions in order to obtain the recrystallization damage tolerance of the corresponding single-crystal superalloy and its corresponding blades under corresponding operating conditions;Obtaining the relevant parameters of the coordinate information of the deformation location of the single-crystal superalloy blade under test and entering these parameters into the database for the recrystallization of single-crystal superalloys in order to obtain the recrystallization area fraction of the cross-section and the maximum recrystallization depth at the deformation location of the single-crystal superalloy blade; Assessing whether the obtained recrystallization area fraction of the cross-section and the maximum recrystallization depth at the deformation location are smaller than their corresponding recrystallization damage tolerance, whereby, if so, the detection result for the deformation location is considered reliable and, otherwise, the detection result for the deformation location is considered unreliable.

The application provides a tungsten carbide-based hard alloy grain size evaluation method and a tungsten carbide-based hard alloy, and the evaluation method comprises the following steps: (1) obtaining grain size data of the tungsten carbide-based hard alloy based on EBSD analysis, and calculating effective grain size D mgs ; (2) combining the grain size estimated value D of the tungsten carbide-based hard alloy with the effective grain size D mgs , and evaluating the grain size of the tungsten carbide-based hard alloy; wherein in the formula of the effective grain size, the evaluation method provided by the application utilizes the grain size data obtained by EBSD analysis for weighted average processing, and the coefficient is corrected according to tungsten carbide-based hard alloy samples with different estimated grain sizes, so that the microstructure performance difference of tungsten carbide-based hard alloys from different sources can be accurately characterized and evaluated.

The application provides a kind of deep sea umbilical cable sea trial scene structural integrity real-time detection system and method, related to ocean engineering technical field, the system includes core detection module, environmental adaptive module, data fusion processing module, integrated protection installation module, the method includes: sea trial preparation: confirm umbilical cable specification and research vessel winch layout;System installation and calibration: system axis and umbilical cable deployment path alignment, installation, calibration core detection module;Sea trial deployment monitoring: real-time data analysis based on mutation threshold algorithm, scientific decision-making;Real-time data processing and storage: real-time display of outer diameter curve, store data, screen suspicious areas;Umbilical cable recovery monitoring: secondary verification umbilical cable structure state, compare deployment data to generate difference report;System removal and maintenance, analysis to generate integrity assessment report.The application can detect the outer diameter, surface defects in the process of umbilical cable sea trial deployment and recovery in real time.

The present invention relates to a porous metal plasticity method for analyzing and strengthening alloys. The method involves the use of computed tomography scanning to model the material structure and determine the location and density of porosity region by region. The porosity regions are then processed by using a voxel mesh method with tessellation after pre-characterizing the alloy by dividing it into "n" different virtual regions to create a substructure. The main objective is to improve the strength and development of alloys by employing at least one computer method for analyzing and modeling porosity, especially in deformation regions.

The invention discloses an original austenite grain boundary display method for steel for the high-pressure end of a steam turbine rotor, and belongs to the technical field of metallographic detection. Carrying out surface treatment on the to-be-detected steel sample to obtain a metallographic sample without macroscopic scratches on the surface; carrying out electrolytic corrosion and washing on the metallographic specimen, and carrying out metallographic observation; wherein the electrolyte is a mixed solution of phosphoric acid and sulfuric acid, the electrolysis parameter is 14-16 V direct current voltage, and electrolytic corrosion is carried out for 50-70 s. Controllable and selective corrosion is realized by utilizing the customized acidic electrolyte under the optimized electrochemical condition and utilizing the microscopic difference between the original austenite grain boundary and the surrounding bainite matrix in chemical activity, so that the grain boundary network which is crucial to the material performance is disclosed safely and efficiently.

The present invention relates to a measurement arrangement (1) for identifying metal (7) that has been degraded by hydrogen embrittlement, the measurement arrangement comprising: a laser module (2) for generating laser radiation for melting and / or vaporising the metal (7); a beam-guidance system (3) for focusing and / or deflecting the laser radiation onto the metal (7); a detection device (4) for examining the resulting weld seam (5), the detection device (4) being designed as an event-camera-based detection device (4), and / or as a camera-based detection device (4), and / or as an acoustic detection device (4), and / or as a process-emission detection device (4); and a processing unit (6) for evaluating the acquired data and identifying metal (7) that has been degraded by hydrogen embrittlement based on characteristic changes in the welding process. The invention also relates to a method for identifying metal (7) that has been degraded by hydrogen embrittlement.