570results about "Testing metals" patented technology

The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent defect detecting and repairing method and system for a vacuum isothermal forging based on multi-mode sensing data. The method comprises the following steps: respectively acquiring image data, heat distribution data and stress monitoring data of the vacuum isothermal forging through a visual sensor, a thermal sensor and a stress sensor, and preprocessing the data to generate a time-space aligned multi-modal data set; performing fusion processing on the multi-modal data set, extracting multi-dimensional features of defects through a deep learning network, and generating a defect feature sequence; optimizing a repair path planning model based on the defect feature sequence in combination with the stress distribution features, and generating a repair task sequence; and inputting the repairing task sequence into the intelligent repairing equipment to execute repairing operation. According to the method, the multi-mode sensing technology and the deep learning algorithm are combined, high-precision detection, classification and repair of the defects of the vacuum isothermal forging are achieved, the production efficiency and the product quality are remarkably improved, and the defective rate and the repair cost are reduced.

The invention discloses a bonding silver wire quality detection method and system, and relates to the technical field of bonding quality detection.The bonding silver wire quality detection method comprises the steps that a thermal infrared imager is adopted to scan a bonding area, and temperature field distribution data in the bonding process is obtained; scanning the bonding area by adopting a magnetic conductivity measuring probe to obtain magnetic conductivity distribution data of the bonding area; performing 10 * 10 grid division on the bonding area, and performing feature extraction on the temperature field distribution data and the magnetic conductivity distribution data based on divided grids to obtain thermal feature parameters and magnetic feature parameters; and calculating a bonding silver wire quality score according to the thermal characteristic parameters and the magnetic characteristic parameters, and judging the bonding quality of the silver wire according to a score result to obtain a bonding quality evaluation result. According to the method, the limitation of traditional single parameter detection is broken through, the accuracy and reliability of bonding quality evaluation are remarkably improved, and a systematic technical support is provided for improvement of the bonding process level.

The invention provides a titanium plate performance analysis method and system, and relates to the technical field of metal material detection.The method comprises the steps that an optical scanner is adopted to establish a three-dimensional structure on the surface of a titanium plate, and test areas are divided; synchronously acquiring stress, hardness and conductivity data of a test point by using a multi-probe collaborative detection device; constructing a dual-branch feature extraction network, wherein the dual-branch feature extraction network comprises a surface topography feature branch and a physical feature branch; performing statistical integration on the features in the test area, calculating distribution features and determining a weight coefficient; and generating a performance analysis result through feature fusion and a multi-task output layer, and finally determining the performance grade of the titanium plate. According to the method, deep fusion of morphology information and physical characteristics is realized, and the accuracy and reliability of titanium plate performance evaluation are improved.

To provide a quenching simulation method for steel with high accuracy.SOLUTION: Provided is a quenching simulation method for steel, comprising: a calculation section 1 calculating a distribution of temperatures by a heat conduction analysis using a finite element method after inputting each of steel phases and physical properties at each of steel temperatures to separate a shape model; a calculation section 2 calculating distribution of strain or stress by an elastoplastic analysis; a calculation section 3 calculating distribution of phase fraction through calculation of a basic equation representing phase transformation; and a calculation section 4 calculating distribution of cooling speed from time change of temperature of each of elements, the method comprising a step of carrying out coupled analysis using phase transformation parameters of the steel calculated from the cooling speed calculated with the calculation section 4 on a procedure to calculate the phase fraction in the calculation section 3.SELECTED DRAWING: Figure 1

The invention relates to the technical field of titanium alloy detection, and discloses a titanium alloy wire performance detection method, equipment and system. The method comprises the following steps: acquiring real-time force value displacement data of a tensile test and echo signal data of ultrasonic detection, and processing to obtain smooth force value displacement data and spectrum characteristic parameters; performing feature layer fusion on the yield strength, the tensile strength, the peak frequency and the amplitude attenuation rate to construct a first multi-dimensional feature matrix; inputting a pre-trained deep belief network model, and predicting mechanical properties such as elongation and hardness value; and comparing with a preset threshold value, marking unqualified items and generating a detection report. According to the method, through multi-source data fusion and advanced algorithm processing, the comprehensiveness and accuracy of detection are improved, efficient evaluation of the performance of the titanium alloy wire is achieved, and the method is suitable for the strict detection requirements for the quality of the titanium alloy wire in the fields of aerospace, medical instruments and the like.

Embodiments relate to system and methods involving use of a technique for managing a database for producing a material composition having a thermodynamic phase. The technique can include: receiving a binary phase diagram for each material to be used as a component of a high-entropy alloy (HEA); using one or more active learning machine learning techniques for generating a feature, the feature including: a primary feature that is representative of a probability that an HEA will exhibit a solid solution phase and / or an intermetallic phase, and a physics-based feature that is representative of a factor related to formation of a desired intermetallic HEA phase; encoding the primary feature and the physics-based feature; generating an output representation of a HEA alloy composition and phase of a predicted materials composition; and selecting a HEA composition and phase that will meet a material design criterion.

The invention discloses a converter steelmaking molten pool carbon content detection method and system, a medium and a terminal, and the method comprises the steps: responding to a converter steelmaking signal, starting a three-section model, and obtaining the height of an oxygen lance and the oxygen flow of the oxygen lance in real time in the converter steelmaking process; a first carbon content detection value of a molten pool in the converter at the current moment is obtained through real-time analysis by utilizing a three-section type model and combining the height of an oxygen lance, the oxygen flow of the oxygen lance, the weight of waste steel added into the converter, the weight of molten iron and the carbon content; when the converter is in the last steelmaking stage, if a detection signal sent by the detection equipment is received, a second carbon content detection value of the molten pool in the converter at the current moment is obtained through real-time analysis based on the detection signal, and the first carbon content detection value and the second carbon content detection value are fused to obtain a carbon content detection result of the molten pool at the current moment. According to the method, the influence of the oxygen lance position, the oxygen flow and feeding on the decarburization rate is considered, the carbon content detection in the whole steelmaking process is realized, and the detection precision in the last steelmaking stage is optimized.

The invention belongs to the technical field of outer pipeline obstacle-crossing carrying robots, aims to complete the detection task of the whole circumference of the surface of an outer pipeline in a narrow working space, and discloses an outer pipeline obstacle-crossing carrying robot in a complex environment, which comprises a self-adaptive clamping unit, a middle motor joint bending obstacle-crossing unit and a combined wheel type moving unit, the self-adaptive clamping units are connected to the front portion and the rear portion of the middle motor joint bending obstacle crossing unit, the combined wheel type moving unit is connected with the self-adaptive clamping units, a connecting rod body serves as a power source for active clamping of a single-side arm through a worm and gear, and the robot conducts inchworm type axial movement through the middle motor joint bending obstacle crossing unit. Front-back movement and directional rotation are carried out through the combined wheel type moving unit. The device can adapt to space inclined and bent pipeline structures, has the capacity of treating obstacles such as pipe diameter abrupt change, pipeline hanging brackets and bosses, and has certain load capacity.

The invention discloses an automatic flaw detection device for a metal bar, and relates to the technical field of flaw detection machinery. The automatic flaw detection device for the metal bars comprises a base, the top of the base is provided with a stabilizing seat and a servo motor, the side face of the servo motor is in transmission connection with a power rod, and the side face of the power rod is fixedly connected with a containing bin; a first chain wheel is fixedly connected to the outer side of the power rod, a chain is assembled on the outer side of the first chain wheel, and a reciprocating lead screw is rotationally connected to the top of the base. According to the automatic flaw detection device for the metal bar, the metal bar penetrates through the stabilizing seat and is placed in the placing bin, a servo motor is started to be matched with a chain wheel I, a chain, a reciprocating screw rod, a chain wheel II, a sliding block, a fixed rod, an arc-shaped plate, a rotating rod, a gear and a toothed bar, so that three flaw detection needle bodies sequentially perform flaw detection operation on a certain point of the metal bar; and the possibility of inaccurate detection results caused by errors is reduced.

The invention discloses a test method for exploring the inhibition effect of a coating on GIL metal particles, and relates to the technical field of high-voltage transmission lines and insulation, the test is carried out in a GIL test platform, and the test method comprises the following steps: S1, selecting a coating material; s2, determining a film covering position; s3, selecting proper particles; s4, determining a particle placement position; s5, carrying out a pressurization test; and S6, observing the motion state of the particles under high voltage, recording the take-off voltage, the stop voltage and the distribution range of the particles, and analyzing the effect of the film on inhibiting the take-off of the particles. According to the test method for exploring the inhibition effect of the covering film on the GIL metal particles, the inhibition effect of the covering film on the metal particles in different shapes is observed and compared through tests, and a basis is provided for practical application of the covering film.

The invention discloses a new energy automobile power battery thermal runaway wreckage extraction and cause judgment method. The method mainly comprises a survey sampling step, a wreckage extraction step, a wreckage current collector structure analysis step, a wreckage material powder crystal form structure analysis step and a material carbon component analysis step. According to the method, new energy automobile fire accident field investigation and laboratory analysis and detection technologies are systematically combined together, technical support is provided for analysis and detection of power battery wreckage in fire accident investigation, and an existing new energy automobile fire accident investigation system is effectively improved; and related accident investigators can conveniently carry out new energy automobile fire accident investigation and effective judgment of accident causes.

The invention discloses a cooling liquid corrosion performance testing method and equipment, and belongs to the technical field of cooling liquid performance tests.The cooling liquid corrosion performance testing equipment comprises a bottom frame, a test board is fixedly connected to one side of the top end of the bottom frame, a detection mechanism is assembled in the test board, and an industrial personal computer is fixedly connected to the top end of the test board; a test door is arranged on the other side of the top end of the bottom frame from the side close to the test board to the side far away from the test board, a test cabinet is fixedly connected to the other side of the top end of the bottom frame, an opening and closing movable mechanism is assembled between the test door and the test cabinet, two first clamping plates are arranged in the test door, and a first fixing mechanism is assembled between one first clamping plate and the test door. The normal-temperature standing chamber and the high-temperature vibration chamber are arranged, the corrosion performance of the cooling liquid when an automobile is not used can be simulated and tested, the corrosion performance of the cooling liquid when the automobile is used can also be simulated and tested, and the corrosion performance of the cooling liquid can be more accurately tested by combining the test results of the normal-temperature standing chamber and the high-temperature vibration chamber.

The invention relates to the technical field of flux-cored wires, and discloses a high-rust-resistance flux-cored wire preparation method which comprises the following steps of S1, raw material pretreatment, S2, powder adding and forming, S3, surface modification and S4, finished product inspection. Before work is started, a worker prepares raw materials including high-carbon ferrochrome, tungsten carbide, boron carbide, rare-earth metal oxide and ferromolybdenum powder, then grinding equipment is used for grinding the raw materials, then the ground powder is dried for 2-3 hours through equipment at the temperature of 100-150 DEG C, the dryness of the raw materials is guaranteed, and the raw materials are evenly mixed. The method comprises the following steps: firstly, preparing a flux-cored wire, then uniformly stirring by utilizing three-dimensional mixing equipment, and then mixing and proportioning according to different proportions according to a corrosion-resistant flux-cored wire, an acid-base-resistant flux-cored wire and a high-hardness high-temperature-resistant flux-cored wire, so that the welding wires with corresponding properties can be conveniently used according to different environments, and the maximization of the functionality of the welding wire is improved.

The utility model relates to the technical field of wire rope detection, and proposes a traction device for a wire rope detection device, including a bracket, a drum, a driving member, a pull rope and an encoder, wherein the bracket is relatively fixed to the ground; the drum is rotatably arranged on the bracket with its axis as the rotation center; the driving member is fixed on the bracket, and the driving member has a rotating output end, and the rotating output end is transmission-connected with the drum; one end of the pull rope is wound on the drum, and the other end is fixed to the wire rope detection device, so that when the drum reels the pull rope, it drives the wire rope detection device to move on the wire rope. The traction device for the wire rope detection device drives the drum to rotate through the arranged driving member, reels the pull rope, and then performs a traction action on the detection device on the wire rope, so as to improve the degree of detection automation and reduce the difficulty of detection operation.

The invention relates to the technical field of low-voltage electric appliances, and particularly discloses a bimetallic strip detection device and a detection method. The bimetallic strip detection device comprises a bottom plate, a first mounting seat, a displacement detection piece, a second mounting seat, a thrust detection piece, a driving mechanism and a control system. The first mounting seat is arranged on the bottom plate and is provided with a bimetallic strip fixing part and a displacement detection piece close to an active layer of the bimetallic strip; the second mounting seat is slidably connected to the bottom plate to get close to or away from the first mounting seat; the thrust detection piece is arranged on the second mounting seat and is close to the passive layer of the bimetallic strip; the driving mechanism is connected with the second mounting seat; and the control system can receive the displacement transmitted by the displacement detection piece and the thrust transmitted by the thrust detection piece, and control the driving mechanism to drive the second mounting seat to move according to a preset mode. The bimetallic strip detection device can simultaneously detect the displacement and thrust of the bimetallic strip under a specific current, and provides data support for design and inspection work of a circuit breaker.

To enable a more accurate assessment of delayed fracture characteristics in a sheared end surface. A method for assessing delayed fracture characteristics for assessing the delayed fracture characteristics of a sheared end surface of a metal sheet included: a test including a step of restraining a metal sheet in a state where a predetermined load stress is loaded to a sheared surface of the metal sheet and a step of placing the metal sheet for a predetermined time in a predetermined hydrogen entry environment in the restrained state; and a step of determining a limit load stress being a load stress at the limit where a delayed fracture in the sheared surface of the metal sheet does not occur based on the results of the test and setting a stress margin to the occurrence of the delayed fracture in the sheared end surface of the metal sheet based on the determined limit load stress, in which the determined stress margin is set as an index of the assessment of the delayed fracture characteristics of the sheared end surface of the metal sheet.

A method for creating a prediction model for corrosion of metals includes using as training data a plurality of label images which indicate a distribution of substances present in a corrosion process of a metal surface, in terms of a distribution of labels, in a plurality of time-series visible light images indicating the corrosion process on the metal surface to create a prediction model for corrosion of metals which predicts a future change in a corrosion state of a metal surface to be predicted from a visible light image of the metal surface. The number of the labels is set according to the number of types of the substances. The distribution of the labels is created based on a color distribution of coordinate values in color space of the visible light images.

The invention discloses a risk assessment method based on a steel structure net rack, and belongs to the technical field of building structure safety assessment, and the method comprises the steps: S10, carrying out the sampling detection of a steel material of the steel structure net rack, obtaining the performance parameters of the steel material, and enabling the performance parameters to comprise mechanical parameters; s20, geometric parameters and load parameters of the steel structure net rack are obtained based on the mechanical parameters, wherein the geometric parameters comprise the length of a rod piece, node coordinates and the span and height of the net rack; and S30, screening the performance parameters, the geometric parameters and the load parameters, and removing abnormal values of the performance parameters, the geometric parameters and the load parameters. By combining the performance parameters, the geometric parameters and the load parameters, the safety performance of the steel structure grid frame under different working conditions can be comprehensively evaluated, the collected stress data can be analyzed through a machine learning method, the stress distribution prediction model is constructed, the stress concentration area can be more accurately determined, and the safety performance of the steel structure grid frame under different working conditions is improved. Therefore, the potential risk of the structure is comprehensively evaluated.

The present application relates to the technical field of nuclear power plant performance testing and discloses a method for assessing the remaining life of a bursting disk in a large-caliber vacuum system of a nuclear power plant, comprising the following steps: S1, obtaining a first sample of a reference bursting disk after a first fatigue test, obtaining a second sample of a bursting disk to be assessed, and performing a bursting test on the first and second samples to obtain a life coefficient; S2, performing a non-metallic material state test on non-metallic debris in the first and second samples after the test, obtaining non-metallic test results of similar non-metallic materials, and obtaining a first remaining life of the bursting disk to be assessed; S3, performing a metallic material state test on metallic debris in the first and second samples after the test to obtain a second remaining life of the bursting disk to be assessed; S4, obtaining a third sample of the bursting disk to be assessed, and performing a second fatigue test to obtain a third remaining life of the bursting disk to be assessed; and S5, obtaining a final remaining life of the bursting disk to be assessed based on the life coefficient, the first, second, and third remaining lives.

The invention provides a testing device for evaluating the degradation behavior of a degradable bone fixing instrument under complex mechanical loading, and the device can simulate complex mechanical conditions and liquid environment after the degradable bone fixing instrument is implanted into a human body in vitro, and can load pressure and fluid impact force in 1-3 directions at the same time; the temperature can be regulated and controlled to realize degradation at a specific temperature, and a plurality of test samples and degradation liquid can be collected at the same time for characterization analysis due to the multi-flux design, so that the degradation condition of the degradable bone fixation instrument under the complex mechanical loading condition is evaluated. The mechanical loading device is easy and convenient to operate, low in cost, good in universality and expansibility and adjustable in parameter, and the simulation condition is closer to the in-vivo real condition. Compared with a traditional non-mechanical condition, the device can provide a new thought for in-vitro prediction in vivo and short-term prediction of degradation evaluation of the degradable bone implant, and finally facilitates promotion of marketing of the novel degradable bone implant.

The present invention discloses a method for evaluating and regulating the wear resistance of ductile iron based on the electronic work function, which relates to the technical fields of surface engineering and performance evaluation. The method includes collecting the electronic work function data and material characteristic data on the surface of ductile iron; extracting the characteristics of the electronic work function data to obtain the electronic work function characteristics; establishing a mathematical model based on the electronic work function characteristics to analyze the correlation between the electronic work function data and the material characteristic data; analyzing the relationship between the electronic work function characteristics and the wear resistance, and establishing a comprehensive evaluation model to evaluate the wear resistance of ductile iron. The present invention combines characterization techniques, complex data analysis methods and multivariate statistical models at the same time. It can not only deeply understand the connection between the electronic structure and macroscopic properties of materials, but also establish a comprehensive evaluation model to predict the wear resistance of ductile iron; this method guides the design of materials and the optimization of the production process.

The utility model discloses a metal material constant load testing device suitable for a hydrogen environment, which comprises a high-pressure gas storage bin, the high-pressure gas storage bin is hermetically connected with an upper bin cover and a lower bin cover, the upper bin cover is provided with a gas inlet pipeline, the lower bin cover is provided with a gas outlet pipeline, the high-pressure gas storage bin is filled with hydrogen, the upper bin cover is provided with an upper loading rod, and the lower bin cover is provided with a lower loading rod. The upper end of an upper loading rod is connected with a loading head, the lower end of the loading rod extends into the high-pressure gas storage bin, a load sensor is installed on the upper loading rod, a lower loading rod is arranged on the lower bin cover, the upper end of the lower loading rod extends into the high-pressure gas storage bin, the lower end of the lower loading rod is connected with a base, the lower end of the upper loading rod is provided with an upper connector, and the upper connector is connected with a lower connector. A lower connector is arranged at the upper end of the lower loading rod, a constant-load sample is connected between the upper connector and the lower connector, an extensometer is mounted on the constant-load sample, and a temperature sensor and a pressure sensor are mounted in the high-pressure gas storage bin. According to the utility model, a high-pressure hydrogen test environment can be effectively provided, and the performance test of a metal material under a constant load is realized.

The invention relates to a uniformity evaluation method for a duplex smelting titanium alloy cast ingot. Comprising the following steps: peeling a finished product cast ingot of duplex smelting titanium alloy, sampling in the length direction of the finished product cast ingot, sawing the finished product cast ingot, sampling the sawing section of the finished product cast ingot, and detecting the nominal element composition of the titanium alloy at a plurality of sampling points. And the nominal composition fluctuation values of the titanium alloy in the length direction and the cross section are obtained through calculation, and then the uniformity evaluation of the titanium alloy is obtained. According to the method, the content of components in different dimensions in the length direction and the circular cross section is detected, and data analysis is performed, so that the component condition of the whole duplex smelting titanium alloy cast ingot can be more comprehensively known, chemical component uniformity evaluation can be performed on component fluctuation through data analysis, and the stability of the components of the cast ingot can be more comprehensively and intuitively judged.

A pretreatment system and a pretreatment method for inspecting metal components in a sample are disclosed. The pretreatment system includes a robot including a number of arms that are relatively rotatable with respect to each other, and the tips of the number of arms are movable within an operating radius; a gripper device attached to the tip of the robot, the gripper device including a first gripper unit that grips or releases a dosing head on one side and a second gripper unit that grips or releases a tube on the other side; a dosing head mounting table on which a plurality of dosing heads can be placed; a tube mounting table on which a plurality of tubes with tube caps coupled to tube bodies can be placed; a sample input unit lifting device on which the dosing head is placed and which is movable up and down, and including a tube mounting cup disposed under the sample input unit lifting device and on which the tube is placed, the sample input device being configured to input the sample in the dosing head into the tube placed in the tube mounting cup; a cap opening and closing device configured to separate the tube cap from the tube body or couple the tube cap to the tube body; an acid injection device configured to inject acid into the tube into which the sample has been input by the sample input device or inject distilled water into the tube containing the acid in which the sample has been dissolved; a heat shaker configured to apply heat to and shake the tube containing the acid mixed with the sample to dissolve the sample in the acid; a vision device configured to acquire an image of a set portion of the tube containing the sample solution in which the sample has been dissolved in the acid; and a pipetting device configured to transfer a part of the solution in one tube to another tube.

The invention relates to the technical field of carbon dioxide geological utilization and storage, in particular to a sealing evaluation device and method for a low-melting-point alloy shaft plugging material, and the device comprises an observation cylinder, an outer cylinder, a simulation shaft, a gas channeling simulation mechanism, a formation pressure adjusting mechanism, a cooling mechanism, a shaft pressure adjusting mechanism and an image acquisition unit. The device is reasonable and compact in structure, alloy materials in the simulation wellbore are in an alloy melting stage, the sealing ejector pin prevents liquid alloy from flowing into the first gas injection hole, and after the alloy materials in the simulation wellbore are solidified, the sealing ejector pin is moved downwards, so that the upper end of the sealing ejector pin is located below the first gas injection hole, and the gas channeling simulation mechanism is communicated with the lower portion of the simulation wellbore; when the formation pressure adjusting mechanism works, the formation pressure adjusting mechanism is connected with the confining pressure cavity through the pressurizing hole, the simulation effect on the formation pressure around the simulation shaft can be achieved, the heating melting-cooling forming process of the low-melting-point alloy material is achieved, and the sealing capacity of the alloy plug-sleeve combination body under the actual underground working condition is evaluated.

The invention relates to the technical field of test methods, in particular to a memory alloy multifunctional test method which comprises the following steps: S101, acquiring displacement, resistance and pressure data of a memory alloy wire after electrification; s103, according to the input parameters, the power-on voltage, the stretching duty ratio and the maintaining duty ratio of the memory alloy wire at different temperatures are obtained; and S105, fatigue testing is conducted on different memory alloy wires, the fatigue degree of the memory alloy wires is judged by detecting the running states of the memory alloy wires, and resistance, displacement and pressure data of the memory alloy wires are detected in real time. According to the invention, various performances of the memory alloy wires with various structures can be detected, and the optimal control mode is selected to improve the application effect of the memory alloy wires on the air valve.

The invention discloses a motor train unit train body service state detection method and system, and belongs to the technical field of motor train unit detection. The method comprises the following steps: a corrosion state detection stage: positioning a corrosion area, recording a corrosion range and a maximum corrosion depth, and collecting a corrosion product sample; then component testing is conducted on the corrosion product sample, corrosion product components and corrosion types are analyzed, a corrosion mechanism is generated, and a corrosion detection result is obtained; a weld joint dual-detection stage: detecting structural defects or cracks of a target weld joint area through a dye penetrant inspection method, carrying out residual stress test by using ultrasonic waves, and evaluating the use performance of the vehicle to obtain a weld joint detection result; and a fatigue strength and residual life evaluation stage: establishing a vehicle body finite element model under different vehicle conditions according to a corrosion detection result and a welding seam detection result, evaluating the residual life of the vehicle body through static strength and fatigue strength simulation, and generating a vehicle body service state. According to the invention, high-efficiency and comprehensive monitoring and evaluation are realized.

The invention discloses an enameled wire coating uniformity detection device, and relates to the technical field of detection devices.The enameled wire coating uniformity detection device comprises a support mechanism, the top end of the support mechanism is provided with a cleaning mechanism, the top end of the support mechanism is provided with a detection mechanism, and the top end of the support mechanism is provided with a dustproof mechanism; the winding mechanism is arranged at the top end of the support mechanism, the support mechanism comprises a stand column and a workbench, full-process automatic operation is carried out, the cleaning mechanism is of a brush plate and fluff combined structure, impurities on the surface of an enameled wire can be efficiently removed, residues are prevented from affecting the detection result, and the detection mechanism drives an annular pipe type detection head through an electric telescopic rod. According to the enameled wire coating uniformity detection device, the detector and the receiver which are distributed in multiple directions are combined, all-directional and high-precision coating uniformity detection can be carried out on enameled wires, detection parameters are optimized in real time through a feedback mechanism, dust pollution of the external environment is effectively isolated through the design of an openable cover plate and a sealing plate of a dustproof mechanism, and the detection stability is guaranteed.

The present application relates to a kind of GH4706 alloy long time heat exposure organizational performance evaluation method, belong to high-temperature alloy performance evaluation technical field, solve the problem of not comprehensive of the performance evaluation of alloy by existing method.The method includes selecting alloy forge piece to carry out long term heat exposure test, obtains its organizational performance data and / or organizational parameter under different temperature and different heat exposure time, forms measured data set;Establish the relationship p=T(lgt+C) / 1000 between time-temperature uniform parameter and heat exposure time and heat exposure temperature, formula is substituted into by experimental data and different C value, calculate p;Through linear fitting, establish the preliminary fitting model between p and organizational performance data and / or organizational parameter;Determine the best C value;Establish the final fitting model between p and organizational performance data and / or organizational parameter;The equivalence of model is verified using p value, and performance is evaluated using final fitting model.The method of the present application is comprehensive to the performance evaluation of alloy.

A system, device, method, and program for acquiring feature data for material composition information based on artificial intelligence are disclosed. The system may include a memory configured to store a first artificial intelligence (AI) model configured to output first feature data for composition information of a material and a second AI model configured to output second feature data for structure information of the material; and a processor configured to learn the first AI model and the second AI model. The processor may be configured to learn the first AI model based on the second feature data for the structure information of the material output by the second AI model, and / or to learn the second AI model based on the first feature data for the composition information of the material output by the first AI model.