93 results about "Micro defects" patented technology

The invention relates to the technical field of composite material detection, in particular to a fiber-reinforced thermosetting thermoplastic composite structure interface quality detection method and system.The method comprises the steps that vibration excitation is applied to a target area of the surface of a to-be-detected sample, and the amplitude of the excitation is lower than the damage critical value of a weak bonding interface; a dynamic response signal perpendicular to the interface is collected in a vibration field non-diffusion area of the excitation point of the target area; performing frequency domain transformation on the dynamic response signal, and separating a fundamental frequency component and at least one high-order harmonic frequency component; according to the nonlinear enhancement effect of the high-order harmonic frequency component relative to the fundamental wave frequency component, whether the weak bonding defect exists in the target area or not is judged. According to the method, the technical bottleneck that the dynamic evolution process of the weak bonding defect of the composite material interface is difficult to capture in real time is effectively solved, sensitive response to the microdefect is realized through a nonlinear harmonic characteristic enhancement effect, and the recognition precision of traditional ultrasonic detection is improved.

The invention relates to the technical field of coating materials, and discloses a pure titanium micro-arc oxidation coating for a vacuum cup and a preparation method thereof.The preparation method comprises the following steps that surface pretreatment is conducted, specifically, a pure titanium vacuum cup inner container workpiece is sequentially subjected to degreasing, acid pickling and ultrasonic cleaning; preparing an electrolyte, namely adding 15-25 parts by weight of a silicon-containing compound, 5-12 parts by weight of metal salt, 3-8 parts by weight of an antibacterial agent and 1-5 parts by weight of a stabilizer into deionized water, and controlling the pH value to be 8.5-10.5; and performing micro-arc oxidation treatment. According to the invention, a silane compound in the micro-arc oxidation electrolyte contains a high-activity silanol group which is subjected to condensation reaction with titanium hydroxyl on the surface of a pure titanium substrate under the action of an electric field to form stable covalent bonding, so that the bonding strength of the coating and the substrate is enhanced; metal ions generated by metal salt electrolysis are co-deposited with titanium ions through plasma discharge, a composite oxide structure is constructed, and micro defects on the surface of a titanium substrate are sealed.

The invention discloses a microdefect-containing high-temperature structure damage regulation and control method based on a dual-scale modeling method and a related device, and relates to the technical field of structural integrity evaluation and optimization of high-temperature alloy materials, and the method comprises the following steps: obtaining a plurality of alloy experiment samples subjected to standard heat treatment; the method comprises the following steps: establishing a macroscopic-microscopic dual-scale model based on an alloy experimental sample; mapping the macroscopic displacement field to a microscopic model in the macroscopic-microscopic dual-scale model, calculating a local plastic slippage cumulant, and taking a cumulative plastic slippage critical value as a fatigue failure criterion; based on the local plastic slippage cumulant and the cumulative plastic slippage critical value, defect parameter sensitivity evaluation is conducted on the alloy experiment sample, and the influence of the defect shape, the defect size and the defect position on the fatigue life is obtained; and carrying out surface gradient microstructure strengthening on the high-sensitivity area, optimizing a defect form through plastic deformation and transferring a damage accumulation position. The service life of the high-temperature structural part is remarkably prolonged.

The invention relates to the technical field of high-end equipment, and discloses a real-time micro-defect intelligent control method and system for precision metal parts, and the method comprises the steps: obtaining historical defect detection data, and carrying out the preprocessing of the data to obtain a structured defect data set; determining a defect statistical mode through time sequence analysis and clustering analysis; generating a geometric feature set, a statistical feature set and an associated data set based on the defect statistical mode, and storing by adopting a dynamic retrieval database to form a queriable defect feature library; new defects are detected and matched with the feature library to judge types and potential positions; predicting time points and position coordinates of defects in combination with process parameters; adjusting process parameters according to a prediction result to obtain optimal configuration; optimizing and updating the defect feature library in combination with new defect information; and continuously monitoring and dynamically adjusting process parameters based on the improved feature library, and generating stable production control parameters. According to the method, real-time prediction and dynamic control of microdefects in the precise metal part production process can be achieved, and the product yield is increased.

The invention discloses a welded joint treatment method based on laser remelting and ultrasonic shot peening synergistic strengthening, and relates to the technical field of additive manufacturing. An optical fiber laser is adopted for conducting remelting treatment on the welding seam, the laser power ranges from 800 W to 1500 W, the scanning speed ranges from 0.5 m / min to 2 m / min, the light spot diameter ranges from 0.5 mm to 2 mm, microdefects are eliminated, and grains are refined; and then surface impact strengthening is conducted on the remelting area through ultrasonic shot peening equipment, the diameter of a shot ranges from 0.8 mm to 2 mm, the frequency ranges from 20 kHz to 40 kHz, the amplitude ranges from 30 micrometers to 80 micrometers, and a gradient pressure stress layer is formed. According to the method, through the alternating effect of ultra-fast laser low-heat input remelting and gradient particle size bullet impact, a nanocrystalline layer is formed on the surface layer of the material, the microhardness is improved, meanwhile, an ultra-fine grain structure is reserved in a transition area, gradient performance matching of hard outside and tough inside is achieved, and the method is particularly suitable for high-performance manufacturing of high-strength aluminum alloy (such as 7075-T6 and 2024-T3) welding components for aerospace.

The invention relates to the technical field of image data processing, in particular to an aluminum honeycomb panel core layer structure fault defect detection method which comprises the following steps: acquiring a thermal infrared image of an aluminum honeycomb panel; determining an obvious defect area in the aluminum honeycomb panel; acquiring a thermal infrared image set under each pressure value; determining a reserved position point in the aluminum honeycomb panel; determining a representative image under each pressure value; acquiring a temperature difference distribution diagram corresponding to the representative image; determining an abnormal position point in the reserved position points; acquiring a temperature increment atlas; obtaining a relatively large amplification point in the temperature amplification diagram, and determining a relatively large area in the temperature amplification diagram; acquiring a convex hull region corresponding to the larger-amplitude region, and determining the larger-amplitude region reserved in the temperature increase amplitude graph; and determining a tiny defect area in the aluminum honeycomb panel. By applying pressure to the aluminum honeycomb panel step by step and monitoring the change of the thermal infrared image in real time, the detection effect on the tiny defects of the aluminum honeycomb panel can be improved.

The invention is suitable for the technical field of milling cutter machining, and provides a hard alloy milling cutter cutting edge passivation process which comprises the following steps that a passivation solution containing Fe < 3 + > and Zn < 2 + > is prepared, and the passivation solution comprises abrasive particles and a nanometer reinforcing phase; the tool is immersed in a passivation solution to be subjected to chemical-mechanical composite treatment; the cutting edge is subjected to plasma impact treatment; a cutting edge grain boundary is reconstructed through laser irradiation, and atomic-scale reconstruction of the hard alloy cutting edge and multi-scale optimization of structure strengthening are achieved through combination of a chemical-mechanical-energy field composite effect, a metal ion passivation reaction and plasma / laser modification and cooperation of metal ion selective passivation, grain boundary engineering regulation and control and nanometer enhancement. On the basis of chemical passivation, the mechanical performance of the cutting edge of the milling cutter is improved through a composite passivation film generated through Fe < 3 + > / Zn < 2 + > reaction, plasma impact and laser reconstruction are coupled through an energy field, the problems of microdefects and grain boundary weakening are solved respectively, and the strength of the cutting edge is further improved through the synergistic effect of the three.

The invention discloses a method for detecting tiny defects of a high-density integrated circuit packaging substrate. The method comprises the following steps: acquiring image data of the surface of the high-density integrated circuit packaging substrate; processing the acquired images in sequence by adopting a mean filtering method, morphological dilation and a texture operator; processing the image by adopting an image binarization processing technology to obtain a binarized image; dividing the binary image into a plurality of energy regions, and calculating an entropy difference through the divided energy regions; performing processing operation on the image data through a discrete cosine transform technology to obtain a DCT coefficient, dividing the DCT coefficient into a high-frequency component and a low-frequency component, and performing calculation to obtain a ratio of a low-frequency coefficient mean value to a high-frequency coefficient mean value; the feature extraction model extracts defect shape features based on the entropy difference and the ratio; comparing a similarity measurement index calculated according to the defect shape characteristics of the packaging substrate with a preset threshold value, and judging whether the packaging substrate has a shape defect or not; and precise detection of small defects of the high-density integrated circuit packaging substrate is realized.

The invention discloses a preparation method of a MgO-MgA12O4-ZrO2 nano ceramic eutectic composite material. The preparation method comprises the following steps: S1, preparing powder; s2, flash firing preparation; and S3, high-temperature melting preparation. According to the invention, two technologies of flash sintering and high-temperature melting are combined, the problems of high sintering temperature, easy growth of crystal grains, difficult densification and the like of the traditional eutectic ceramic are solved, and an excellent composite material with a nanoscale eutectic structure is finally obtained; a nanocrystalline blank obtained through flash sintering is crushed and then subjected to high-temperature melting, microdefects and air holes possibly existing in the flash sintering blank are eliminated, the chemical components and the microstructure of a final product are more uniform, and compared with traditional selective laser melting, the method is more convenient and faster to implement and lower in cost.

The invention belongs to the technical field of PCB detection, particularly relates to a PCB ceramic substrate appearance laser measuring instrument, and aims to solve the problem that tiny cracks hidden on a substrate are difficult to find when the substrate is not stressed in the actual detection process, the following scheme is provided: the PCB ceramic substrate appearance laser measuring instrument comprises a counterweight seat, support rods are fixed on the upper surface of the counterweight seat close to four corners, and the support rods are fixed on the upper surface of the counterweight seat; the top ends of the four supporting rods are fixedly provided with the same workbench, the middle of the workbench is rotationally connected with a vertical supporting pipe, the top end of the supporting pipe is fixedly provided with an arch-shaped supporting plate, and the two ends of the arch-shaped supporting plate are provided with bearing modules which are of the same structure and are symmetrical to each other respectively. According to the invention, the ceramic plate body can be extruded before surface defect detection, so that the residual stress of the ceramic plate body can be amplified to a certain extent, some potential surface micro-defects are forced to be amplified, a laser probe can find the surface micro-defects more easily, and potential quality defects of the ceramic plate body can be detected.

The invention relates to the technical field of processing, testing or inspection of aircraft parts, and provides an accelerated test method for aging of an aluminum alloy aircraft plate. The method comprises the following steps: carrying out a cyclic alternating test of ultraviolet irradiation and solution soaking on an aluminum alloy sample with an epoxy coating, and simulating a multi-factor coupling aging process in an aviation service environment. And regularly observing and recording micro-defects such as micropores, cracks and spalling on the surface of the coating in a test period, and evaluating the development of the micro-defects of the coating through qualitative and quantitative analysis. And after the test is finished, measuring the residual thickness of the sample, and establishing a relation model between the coating thickness degradation and the change of microdefect development along with the aging time in combination with the microdefect development state. According to the method, the actual aviation service environment can be simulated, the ultraviolet aging and corrosion coupling effect is considered, and accurate prediction and accelerated simulation of the aging behavior of the aluminum alloy aircraft plate with the epoxy coating are achieved.

The invention discloses an aluminum profile surface defect detection method and a storage medium, and the method comprises the following steps: S1, image preprocessing and data set construction; s2, improving the design of a YOLOv8 network structure; s3, model training and deployment; the image quality is optimized through wavelet transform denoising and histogram equalization, and the feature identification degree of the tiny defects is enhanced; a C2fFaster DCNv3 module and an ADFR module are adopted to enhance the multi-scale feature extraction and fusion capability; the newly added P2 layer detection head is specially adapted to tiny defects; the focus degree of a difficult sample is increased through weighting of a Focaler-IoU loss function, and the problems of missing detection and false detection of tiny defects are effectively solved; the Faster Block branch reduces the calculated amount, the TensorRT reasoning accelerates and optimizes the deployment efficiency, the real-time detection requirement of industrial production is met on the premise that the detection precision is guaranteed, and the dual purposes of high precision and high speed are achieved.

The invention relates to the field of precision optical detection, and discloses a device and a method for automatically identifying microcracks on the surface of quartz glass based on machine vision, and the device comprises a multi-dimensional image sensing module, a main control module and an AI identification module. The method utilizes a polarized light orthogonal imaging principle to adjust a polarization angle to be orthogonal with an inspection angle so as to suppress specular reflection interference on the surface of the quartz glass. An acquired image is enhanced by adaptive Gaussian filtering and then is input into an improved U-Net model integrated with a fine crack attention mechanism, and the mechanism combines channel and space attention to accurately capture micro crack features while suppressing noise. The system performs fitting on a crack skeleton based on a least square method so as to calculate geometric parameters, and intelligent retrieval and clustering of defects are realized by using cosine similarity and a K-means algorithm. The method effectively solves the problem that the surface microdefect of the transparent high-reflective material is difficult to detect, the detection precision and the automation level are remarkably improved, and the method is suitable for quality control of precise optical elements.

The invention relates to a novel small-sized receiving coil group electromagnetic ultrasonic sensor and a method for high-resolution detection of submillimeter-level tiny defects. The sensor comprises a permanent magnet, an exciting coil and a receiving coil group, the receiving coil group comprises at least two independent preset small coils; the receiving coil group is arranged above the effective receiving area of the exciting coil; the permanent magnet is placed above the effective receiving area of the receiving coil assembly, and the magnetic pole direction is perpendicular to the plane of the receiving coil assembly. The invention aims to solve the technical problems that an existing electromagnetic ultrasonic sensor is low in signal-to-noise ratio, depends on complex signal processing and is difficult to give consideration to high-resolution and high-reliability detection when detecting submillimeter-level tiny defects, and provides a small-sized receiving coil group electromagnetic ultrasonic sensor which is compact in structure and high in signal-to-noise ratio and a detection method. Under the condition of not depending on complex post-processing, high-resolution recognition of submillimeter-level tiny defects in the metal material can be achieved.

The application discloses an industrial product micro defect visual detection system and method, belongs to the product detection technical field, obtains the multi-source image data of the target industrial product under multiple detection angles and illumination conditions, and establishes an image information matrix; the image is subjected to region segmentation and texture enhancement, and a local texture direction inconsistency degree parameter is extracted; the pixel ratio is normalized and analyzed under different spectral channels, and a multispectral reflectance anomaly index is calculated; a deep convolution recognition model is constructed; the model is used for reasoning on the image, and a defect judgment result and a confidence score are output; whether it is a defect area is determined based on a dynamic threshold mechanism, and a detection report containing defect position information and a visualized heat map is output; the application realizes multi-dimensional fusion recognition of texture structure disturbance and spectral response anomaly, effectively improves micro defect recognition precision, has high robustness, automation and engineering practicability, and is suitable for high-precision quality control requirements in various industrial scenes.

The invention relates to the technical field of finishing grinding devices, in particular to a device and method for passivating microdefects of a cutting edge before cutter coating. The grinding device comprises a sand basin fixedly arranged at the top of a base, sand grains used for grinding the twist drill-shaped cutter are contained in the sand basin, a plurality of gathering assemblies used for gathering the sand grains are arranged in the sand basin, and each gathering assembly comprises a gathering cover capable of rotating; when the multiple driving columns rotate along with the gathering cover, the driving columns drive the lifting cap at the top of the main rod to ascend, the lifted lifting cap drives complete sand grains to get close to the bottom of a tool to be polished, meanwhile, the angular velocity difference between the static lifting cap and the rotating gathering cover disturbs gravel, and complete gravel and fine powder gravel are separated; the gap between the lifting cap and the side wall of the gathering cover always keeps discharging the fine powdery gravels, but the diameter of the gap is smaller than that of the gravels, so that the complete gravels are prevented from falling off.

The invention discloses an industrial aluminum material forming device and a forming method thereof, and belongs to the technical field of aluminum material extrusion forming. The device comprises a forming machine body, two side plates are fixedly connected to the top of the forming machine body, connecting plates are arranged at the tops of the two side plates, a pre-impurity-removing mechanism is jointly arranged between the two connecting plates, and an extrusion assembly, a forming assembly, a shearing assembly and a temperature control assembly are fixedly installed at the top of the forming machine body; when the extrusion assembly pushes the aluminum bar to penetrate through the mounting ring, the servo motor drives the gear to rotate, and the annular gear ring drives the mounting base and the first grinding brush to rotate in the circumferential direction through meshing. The mounting seat drives the first grinding brush to radially move under the action of the inclined surface of the guide plate and is always attached to the surface of the aluminum bar by matching with the synchronous adaptation mechanism. Under rotation and self-adaptive pressing, the first grinding brush evenly grinds the outer wall of the aluminum bar, oxide skin, oil stains and microdefects are effectively removed, a clean metal surface is obtained, and a high-quality blank is provided for follow-up extrusion forming.

The present application relates to a kind of electrochromic film defect analysis method and device, equipment, medium, it is related to electrochromic field, including: sample is carried out in darkroom and is marked defect by fading observation, obtain marked sample;The defect in the obtained marked sample is observed using optical microscope and determines defect category, obtain marked sample;The defect of marked sample is profiled, microanalysis, component analysis, obtains defect profile parameter, defect microtopography, defect component;The nature of defect is judged based on at least one of defect profile parameter, defect microtopography and defect component.The defect analysis method provided in the present application, by optimizing the defect analysis process for photochromic film, realize system, efficiently, accurately to the surface of electrochromic film Complex and varied macro, micro defect (such as scratch, halo point, pinhole-like white spot, white spot, blue dot, abnormal shape and color point etc.) Positioning, identification, characterization and root cause analysis.

The present application relates to the technical field of industrial vision detection, and discloses a hydraulic side plate surface micro defect identification method and system, the method comprising collecting a double light source image sequence, performing pixel level gray difference extraction, purifying defect feature maps, performing multi-scale Gaussian Laplace convolution and morphological screening to construct defect feature partial order lattices, calculating gray and spatial reference offset vectors to generate a composite drift correction operator to perform adaptive correction on the feature maps, inputting a convolutional neural network to determine the defect category and trigger a sorting instruction; the present application separates oil film artifacts by using optical response difference and quantifies imaging drift by combining partial order lattice structure, solves the problem of recognition precision decay caused by cutting fluid reflection interference, long-term operation light decay and micro vibration of the equipment, and realizes high-precision detection of micro defects under production line conditions without calibration.

The application discloses a kind of based on multi-mode spectral tomography technology's light-reflecting steel pipe weld defect identification method, propose a kind of multi-band reflection data acquisition, denoising and normalization, multi-region feature distribution modeling, sparse reconstruction separates abnormal response, multi-scale contrast weighted enhancement, saliency layered imaging and defect classification discriminant detection process.The method is by automatic partition, environment and material dynamic acquisition, adaptive parameter optimization and so on Measure, realize effectively suppress high light interference, significantly enhance the resolution of defect and background, improve the detection sensitivity and positioning accuracy of small and micro defects.

The invention relates to a homogenizing composite pouring method of a high-beryllium aluminum alloy, which adopts a beryllium-based alloy as a main material, and through a double-flow smelting process, the main material is smelted in a flow A, and auxiliary materials such as an aluminum ingot and a Y-TiC-TiB2 / Al composite modifier are smelted in a flow B, so that the cooperation of interface modification and grain refinement is realized. And then, the A-flow melt and the B-flow melt are synchronously and compositely poured into a preheated casting mold according to the proportion, rapid solidification is achieved through extrusion casting, and finally hot isostatic pressing treatment is conducted. According to the method, beryllium-aluminum segregation, beryllium phase sedimentation and formation of microdefects are effectively inhibited, and the prepared beryllium-aluminum alloy is uniform in component, compact in structure, excellent in mechanical property and wider in application range.

The application provides a method and system for detecting PV and PI regions of a silicon wafer, and belongs to the technical field of defect detection of silicon wafers. The method for detecting the PV and PI regions of the silicon wafer specifically comprises the following steps: firstly, performing copper decoration treatment on the surface of a silicon wafer sample to mark vacancy-type defects of the silicon wafer sample, so as to obtain a to-be-detected silicon wafer sample; then, immersing the to-be-detected silicon wafer sample, a counter electrode and a reference electrode in a hydrofluoric acid electrolyte, so that the to-be-detected silicon wafer sample serves as a working electrode and the working electrode, the counter electrode and the reference electrode jointly construct a three-electrode electrochemical system; subsequently, applying a constant anodic bias to the working electrode and keeping the constant anodic bias for a predetermined time, so that the marked vacancy-type defect region and the unmarked gap-type defect region are subjected to differential corrosion, the PV and PI regions are exposed, and the originally invisible micro defects are converted into macro and micro morphology differences which are clearly distinguishable.

A kind of detection method of high-precision flexible plate for intelligent networked vehicle, according to design data, flexible core plate is formed by processing, and the flexible core plate includes pad;Then the first socket is welded to the pad, forming a welded plate;Form a test adapter plate including rigid area and flexible area;The second socket is provided in the flexible area, and the test pad is provided in the rigid area;Second socket and test pad are electrically connected;The test adapter plate and the welded plate are connected, including the second socket is inserted into the first socket, then the test pad is tested by using test machine, and the detection is completed;Through welding the first socket, the test adapter plate containing the second socket is manufactured, a stable current loop and a voltage test loop are established, the identification accuracy of the line gap, micro short circuit, line young and other micro defects of the line is improved, the transmission stability of the line is guaranteed, and the problems such as traditional low resistance test due to high pad degree, easy to appear probe contact, miscontact or poor contact and other problems are effectively avoided.

Nitrogen-doped CZ silicon crystal ingots and wafers sliced therefrom are disclosed that provide for post epitaxial thermally treated wafers having oxygen precipitate density and size that are substantially uniformly distributed radially and exhibit the lack of a significant edge effect. Methods for producing such CZ silicon crystal ingots are also provided by controlling the pull rate from molten silicon, the temperature gradient and the nitrogen concentration. Methods for simulating the radial bulk micro defect size distribution, radial bulk micro defect density distribution and oxygen precipitation density distribution of post epitaxial thermally treated wafers sliced from nitrogen-doped CZ silicon crystals are also provided.

The invention provides a method for repairing Y2O3-MgO-based nano complex-phase infrared transparent ceramic processing defects through atmosphere annealing, and belongs to the technical field of functional ceramic preparation. The preparation method comprises the following steps: performing high-temperature annealing on a Y2O3-MgO-based nano complex-phase infrared transparent ceramic sample piece in a vacuum atmosphere, wherein the annealing temperature is 600-1500 DEG C, and the annealing time is 1-10 hours; and after vacuum annealing is completed, a vacuum system is closed, oxygen is slowly introduced, the introduction amount of the oxygen is 5-100 sccm, the annealing temperature is 600-1500 DEG C, heat preservation is conducted for 1-10 hours in the oxygen atmosphere, and finally the temperature is slowly reduced to the room temperature. The ordered diffusion probability of atoms on the ceramic surface can be remarkably improved through vacuum atmosphere annealing, effective repairing of surface microcracks is achieved, oxygen vacancies and other microdefects can be eliminated through oxygen atmosphere annealing, and residual stress in a ceramic sample piece is released. The defect repair of the Y2O3-MgO-based nano complex-phase infrared transparent ceramic can be realized through atmosphere annealing, and the mechanical and optical properties of the Y2O3-MgO-based nano complex-phase infrared transparent ceramic are greatly improved.

This invention discloses a visual inspection system for surface defects in industrial parts, relating to the field of parts quality control technology. The system adopts a four-layer architecture: a thermoelectric coupling field control layer, a texture-encoded defect development and acquisition layer, a cross-scale linkage modeling layer, and a process closed-loop control layer. The core components include a field-induced texture-encoded defect development unit, a texture-encoded defect cause mapping unit, a cross-scale closed-loop control unit, and a multi-dimensional collaborative verification unit. This invention utilizes the core technologies of active thermoelectric coupling field control + reuse of processing texture process codes, field-induced development of micro-defects, and cross-scale closed-loop control to solve the problems of existing detection methods, such as the inability to trace the cause of defects, high false negative rates for nanoscale micro-defects, disconnect between detection and process optimization, high system costs, and dependence on constant temperature environments. It achieves simultaneous and accurate completion of defect detection and cause tracing, significantly reduces the false negative rate of micro-defects, enables closed-loop control of the entire detection-process optimization process, reduces system costs, and adapts to non-constant temperature industrial scenarios.

The invention provides an intelligent identification system and method for micro defects of a cladding layer on the inner wall of a large metal pipeline based on an ultrasonic phased array, and relates to the technical field of energy storage power stations. In order to solve the problems that a cladding layer (with the thickness of 0.5-1.0 mm) on the inner wall of an injection-production pipe of a compressed air energy storage power station easily falls off to form micro defects (with the diameter smaller than or equal to 1 mm) after long-term service, traditional ultrasonic detection is greatly interfered by roughness, and the signal discrimination degree is poor, an ultrasonic phased array probe is used for scanning and collecting signals along the outer wall of a pipeline, and after wavelet noise reduction and Fourier time-frequency conversion, the cladding layer (with the thickness of 0.5-1.0 mm) on the inner wall of the injection-production pipe of the compressed air energy storage power station is obtained. And extracting a voiceprint feature vector by using a convolutional neural network, identifying the defect size in combination with a dynamic matching algorithm, and outputting a defect image through full-focus imaging. According to the method, the advantages of high precision of the ultrasonic phased array and AI intelligent identification are integrated, the micro cladding layer falling defect can be rapidly and accurately identified, the anti-interference capability is high, and a reliable detection means is provided for safe operation of an injection-production pipe.

The application provides a kind of metal material defect density measurement method, it is related to the technical field of metal material defect density quantitative analysis regulation material performance.This method includes six steps of establishing original data set, preprocessing original data, judging grain boundary existence, calculating elastic distortion tensor, calculating dislocation density and calculating dislocation density.Compared with the traditional microdefect organization analysis method, this method first introduces Lie algebra mathematical tool to quantitatively analyze the rotation characteristics and structure of dislocation such as Frank vector, breaks through the existing material defect density measurement method and the difficulty in accurately describing and calculating the rotation vector, proposes a differential calculation method for the rotation vector, and quantifies the microdefects such as dislocation and dislocation by combining the EBSD data of the metal material to be measured, which provides an important reference for analyzing the influence of crystal defects such as dislocation on material performance.

The application relates to the technical field of steel fatigue resistance, and discloses a high-hardness steel fatigue resistance system and method based on ultrasonic and shot blasting composite reinforcement. The method comprises the following steps: collecting macroscopic geometric appearance, microscopic structure and dynamic stress and strain data of a target steel piece through a multi-modal sensing system, and fusing and constructing a multi-physical field digital twin model; based on the fatigue damage feature distribution in the model, a reinforcement decision tree model is sorted, and a priority supercritical value triggers parameter configuration; through a self-adaptive neural network algorithm, ultrasonic field regulation parameters and shot blasting trajectory planning parameters are synchronously calculated; the parameters are injected into the digital twin model to simulate material response and energy transmission, and data such as microscopic defect closure state is output, and parameter correction signals are generated through multidimensional consistency inspection. The method realizes accurate regulation and control of composite reinforcement, and effectively improves the fatigue resistance of high-hardness steel.

The invention discloses a method for local micro-corrosion of an equiaxial high-temperature alloy part before fluorescent penetrant detection. According to the method, after the local part of the equiaxial high-temperature alloy part is subjected to micro-corrosion, a false plugging layer of the part is removed, and an opening with a tiny defect is opened, so that the open defects of all the surfaces can be detected through subsequent penetration detection; meanwhile, unnecessary corrosion is reduced, the surface of a part which does not need to be corroded is protected, the micro-corrosion efficiency is improved, the micro-corrosion cost before penetration detection is reduced, the problem that in the fluorescent penetration detection process of the equiaxial high-temperature alloy workpiece, due to a surface false plugging layer, missed detection of micro defects is caused is solved, and the defects existing in a traditional overall corrosion method are overcome.