5576results about "Material analysis by transmitting radiation" patented technology

The invention provides a preparation method of a transmission electron microscope ultrathin sample with a cross section of an electron beam sensitive material, which comprises the following steps: selecting a specific region as a to-be-extracted sample region for the electron beam sensitive material by adopting an electron beam imaging technology; depositing a protective layer on the surface of the to-be-extracted sample area by adopting an electron beam and / or an ion beam; bombarding a to-be-extracted sample area by utilizing a high-energy ion beam, extracting an electron beam sensitive material cross section sample from the to-be-extracted sample area, and fixing the extracted sample to a metal bracket; performing pre-thinning treatment on the extracted sample by using a focused ion beam to obtain a first thinned sample of which the thickness is reduced to be less than a first thickness; and transferring the first thinned sample into a micro-beam fixed-point ion thinning system, and carrying out multi-time stepped low-energy ion beam fine thinning treatment on the first thinned sample by using inert gas ion micro-beams to obtain a second thinned sample which is clean in surface and free of a surface ion damage layer and has the thickness reduced to be less than a second thickness, and taking the second thinned sample as a transmission electron microscope ultrathin sample.

The invention belongs to the technical field of part defect detection, and discloses an automobile part welding seam defect detection method and system based on body perception, which realize closed-loop control of welding seam defect detection through body perception circulation, improve the perception capability and adaptability of the system and realize high-precision and high-efficiency welding seam defect detection. Firstly, a high-resolution camera and an industrial camera are used for obtaining high-definition images of the automobile parts, and the high-definition images are used for recognizing classification and shapes of the automobile parts; further, comprehensive understanding of the shape of the welding seam is formed through the identified automobile parts and in combination with a localized large model; further, according to comprehensive understanding of the shape of the welding seam, a preset rule and a localization large model are combined, and detection steps and tracks are generated; furthermore, the mechanical arm completes the decomposition and execution of specific detection actions according to the generated detection path, such as moving to a specified position, detecting surface bulges, detecting bubbles and the like.

The invention relates to the field of aramid fiber band defect detection, and discloses an X-ray-based aramid fiber band defect online detection method and device. The method comprises the following steps: carrying out potential defect analysis on a physical characteristic image and a material parameter distribution diagram to obtain spatial distribution data of a potential defect region; physical characteristic quantitative analysis is carried out on the spatial distribution data of the potential defect area, a defect physical descriptor is obtained, and the defect physical descriptor comprises a density anomaly feature, a molecular chain orientation disorder degree and a thermal anomaly feature; and performing multi-dimensional feature extraction and weight distribution on the defect physical descriptor according to a preset material performance standard to obtain a quality score and a physical performance parameter of the aramid fiber band, and generating a defect detection report according to the quality score and the physical performance parameter. According to the invention, the comprehensiveness, accuracy and reliability of aramid fiber band defect detection are improved.

An X-ray inspection device according to one embodiment of the present disclosure includes: an X-ray output portion irradiating X-rays to a battery including a cathode, a separator, and an anode in a stacking direction of the cathode and the anode; an X-ray detection portion acquiring a plurality of gray values based the X-rays that have transmitted through the battery; a signal processing portion acquiring an X-ray image including the plurality of gray values; and an inspection portion determining whether the battery is defective based on a distance between a first edge of an anode area including gray values representing the anode layer and a second edge of a cathode area including gray values representing the cathode layer in the X-ray image.

The invention relates to the technical field of production detection, in particular to a circuit board production detection method and system based on machine vision and a medium. The method comprises the following steps: carrying out circuit board scanning on a to-be-detected high-density interconnection circuit board to obtain original X-ray image sequence data of the circuit board; performing image preprocessing on the original X-ray image sequence data of the circuit board to obtain preprocessed circuit board detection image data; performing image hole structure mask processing on the preprocessed circuit board detection image data to obtain hole structure mask data; performing hole feature analysis on the preprocessed circuit board detection image data through the hole structure mask data to obtain hole feature vector data; constructing a residual copper feature recognition model; and performing residual copper detection on the hole feature vector data by using a residual copper feature recognition model to obtain residual copper detection result data. Nondestructive testing of the internal structure of the circuit board is achieved through X-ray imaging, and the accuracy and efficiency of production detection are remarkably improved.

The invention relates to the technical field of cylindrical lithium ion battery production, and discloses a method for detecting insufficient welding of a cylindrical lithium ion battery, and the method comprises the following steps: S1, appearance inspection; s2, initial internal resistance benchmark test; s3, applying a short-time large-current pulse to the battery by using a pulse generator, simulating an actual load condition, and recording an instantaneous voltage drop and current response curve of the voltage of the battery end during the pulse period; s4, performing infrared thermal imaging identification and data processing; s5, learning the picture and establishing a model; s6, comparing the test picture and the data with the model; s7, dynamic internal resistance calculation; s8, cold solder joint query and sorting processing; and S9, retesting the electrical performance. According to the invention, the technologies of dynamic internal resistance measurement, nondestructive X-ray or ultrasonic detection, rate discharge test and the like are adopted, so that efficient, accurate and nondestructive detection of the cold solder joint of the cylindrical lithium ion battery is realized, and the production efficiency and the detection precision are remarkably improved.

The invention discloses an X-ray flaw detection system based on high-voltage overhead line maintenance, which belongs to the technical field of overhead transmission line detection and comprises a high-voltage pulse power supply module, an X-ray emission module, an X-ray imaging plate module, an image processing module, a positioning compensation module, a wireless communication module, a high-voltage insulation module and a data analysis module. According to the invention, the detection precision can be improved, manual intervention is reduced, and the purpose of safely and efficiently detecting the high-voltage overhead line is achieved.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention discloses a GIS (Gas Insulated Switchgear) tiny defect detection method and system based on X-ray multi-effect fusion, and the method comprises the following steps: firstly, exciting a latent defect in a GIS to generate partial discharge by using an X-ray photoionization effect, detecting a discharge signal by using an ultrahigh frequency method and an ultrasonic method, and after the discharge signal is processed by a noise reduction model, carrying out noise reduction on the discharge signal; and respectively obtaining an ultrahigh-frequency discharge phase spectrogram and an ultrasonic discharge phase spectrogram. Then, the imaging plate is placed on the back face of the GIS, digital DR imaging is carried out through X rays, and an X-ray image is obtained; the ultrahigh frequency discharge phase spectrogram and the ultrasonic discharge phase spectrogram are fused after being denoised, an X-ray image is combined to establish a GIS health state diagnosis model, and reliable defect detection is carried out on the GIS according to the evaluation score of the diagnosis model. According to the method, multiple effects of X-rays are fused, so that smaller GIS latent defects can be found, the detection sensitivity is remarkably improved, and the problem that the traditional method is difficult to identify the tiny latent defects is solved.

The invention provides an intelligent online analysis and monitoring system and method for circuit board production, and the system comprises an image collection module, a multispectral imaging module, a three-dimensional scanning measurement module, a copper thickness test module, a data collection module, an intelligent analysis and recognition module, and a self-adaptive algorithm optimization module. The system is used for carrying out real-time image acquisition on each key station in the circuit board production process by adopting a high-resolution industrial camera. Through high-definition image acquisition, multispectral imaging, three-dimensional scanning and measurement, comprehensive data acquisition in the circuit board production process is realized, the problem of limited data acquisition range in the prior art is solved, accurate detection and classification of circuit board defects are realized by applying an intelligent analysis algorithm, and the production efficiency is improved. The accuracy and efficiency of defect detection are improved, automatic adjustment and optimization of algorithm parameters are achieved through the self-adaptive algorithm optimization module, it is ensured that the algorithm can continuously adapt to changes of the production environment, and the stability and reliability of the system are improved.

A transmission electron microscope sample rod (100) and a sample testing method. The transmission electron microscope sample rod (100) comprises a heating element (10) and a testing mechanism (20), wherein the heating element (10) is configured to heat a sample, the testing mechanism (20) is constructed with a plurality of connecting arms (21) which are arranged at intervals in a circumferential direction of the testing mechanism (20), an accommodating space (23) is defined by means of the plurality of connecting arms (21), one side of each connecting arm (21) facing the accommodating space is defined as an output end (202), the plurality of output ends (202) jointly clamp the sample, each connecting arm (21) can extend and retract in an extension direction of the output end (202), and each connecting arm (21) is connected to the heating element (10).

The invention provides a multi-dimensional adsorbent performance evaluation method, and belongs to the technical field of performance evaluation, and the method comprises the following steps: carrying out a first test on an adsorbent, recording the mass change of the adsorbent after each cycle, and evaluating the adsorption performance of the adsorbent to obtain a first test result; and carrying out a second test on the adsorbent to determine the anti-sintering capability and the cycling stability of the adsorbent so as to obtain a second test result. Microscopic form change, influence condition and crystal structure of the adsorbent before and after the test are observed, and microscopic characterization of the adsorbent is obtained. And performing multi-scale simulation on the adsorbent according to the microscopic representation, and performing life cycle evaluation on the adsorbent by using a simulation result to obtain a life cycle evaluation result. And an optimization direction is provided for comprehensive performance evaluation of the adsorbent. The invention aims to realize an efficient and low-cost carbon capture technology and promote effective utilization of solid waste resources, and provides a systematic evaluation method to promote the development of the carbon capture technology.

The present disclosure provides an inspection device including a conveyance mechanism; a radiation source; a detector; a movement mechanism; and a determination means. The present disclosure also proposes using the device to inspect foreign matter in the sample.

This invention relates to the field of conductor inspection technology, specifically disclosing a multi-angle detection robot and method for detecting multi-split tension clamps. The robot includes a cable routing mechanism, a lifting and adjusting mechanism, a spacing adjusting mechanism, and a detection mechanism. During detection, the x-axis drive device of the detection mechanism moves the mounting plate to the side of the frame. A first rotation module drives a right-angle frame to rotate around the z-axis to unfold the swing arm. A second rotation module deflects the swing arm to align the X-ray source and imaging plate with the target clamp. Combined with a third rotation module to fine-tune the imaging plate angle and a linear drive device to adjust the spacing, multi-angle imaging accuracy is ensured. The robot can also reverse direction, enabling the detection of tension clamps at both ends of a multi-split conductor tower in a single setup, improving efficiency. Compared to traditional devices, this application achieves continuous detection of multi-split clamps through multi-degree-of-freedom unfolding and adaptive adjustment, significantly improving detection efficiency. Furthermore, its compact structure adapts to complex high-altitude environments.

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

The present invention describes the development of a laboratory system for testing rock samples with fractures subjected to single-phase flow, using visible fluid and equipment made of material not sensitive to a microtomograph, allowing (i) the quantification of parameters that represent the flow in a fractured medium in the flow simulator and (ii) images that portray the distribution of fluids in the medium, in different injection steps.

A radiation imaging apparatus includes a pixel array including, in an imaging region where a plurality of pixels is arranged in a matrix, a detection pixel group in which a plurality of detection pixels is arranged in a row direction, and a control unit configured to control imaging. A grid having a stripe structure in which a radiation transmissive layer and a radiation absorption layer that are strip-shaped and extend in a first direction are alternately arranged in a second direction is disposed and can be used in the radiation imaging apparatus. The radiation imaging apparatus further includes a determination unit configured to determine whether a mode in which the imaging using signals from the detection pixel group is controlled is executable by the control unit, based on information about an angle between the row direction and the first direction.

The invention relates to the technical field of intelligent monitoring, in particular to an underwater robot monitoring device and method based on muon imaging and navigation positioning, and the device comprises a transmission and control subsystem which is used for driving an underwater robot to complete a target action task in an underwater pipeline; the muon imaging positioning subsystem is used for acquiring high-energy imaging information and a three-dimensional coordinate position of the underwater robot so as to assist the underwater robot in completing a target action task; the underwater scanning, monitoring and early warning subsystem is used for evaluating a water sample of the underwater pipeline to generate a water quality evaluation report and acquiring surrounding terrain and geological feature information of the underwater pipeline to generate an underwater three-dimensional image; and the multi-source data fusion transmission base station is used for fusing the water quality evaluation report, the high-energy imaging information and the underwater three-dimensional image to generate a state evaluation report. Therefore, the problems of insufficient penetrating power, low resolution, signal interference and the like of the existing underwater monitoring technology and the like under the conditions of deep water, high turbidity or complex terrains are solved.

The invention relates to the technical field of material detection, and discloses a material multi-modal X-ray foreign matter detection method, which comprises the following steps of: acquiring a transmission gray-scale time sequence array and a scattered photon energy spectrum distribution matrix output by a multi-modal X-ray acquisition system, generating a composite characteristic body through cross-modal characteristic interactive coding, constructing a material-contour associated nodal topology network, and obtaining a material-contour associated nodal topology network; simulating a foreign matter feature conduction path and outputting a correlation confidence value set, performing space-time dimension mapping transformation to generate a foreign matter-detection coupling prediction curved surface, calculating a sensitivity adjustment factor and generating a standardized coupling coefficient thermodynamic cloud chart, extracting a detection quantitative index set and dynamically matching the detection quantitative index set with a preset reference range; and when the indexes exceed the boundaries, generating a regulation and control scheme. According to the method, the accuracy, reliability and real-time performance of foreign matter detection are improved, and the detection requirements of complex scenes can be met.

A radiation imaging system includes a radiation imaging apparatus and an imaging control apparatus, the radiation imaging apparatus includes a dose detection pixel that detects a dose of radiation irradiated from a radiation source, and the imaging control apparatus controls the radiation imaging apparatus. Before radiation imaging, the imaging control apparatus specifies a position of the dose detection pixel in a region of interest for calculating a dose indicator value of a radiation image, determines a threshold according to the position of the dose detection pixel, and transmits the position of the dose detection pixel and the threshold to the radiation imaging apparatus. The radiation imaging apparatus makes a setting of the position of the dose detection pixel in the region of interest and the threshold transmitted from the imaging control apparatus, and performs imaging based on the setting.

Provided is a calibration method for calibrating a scanning and imaging device. The calibration method comprises: by means of a detector, collecting rays which have passed through a geometric calibration phantom so as to obtain detector data, the detector data comprising an actual projection position of the rays on the detector after the rays have passed through the geometric calibration phantom; obtaining initial ray source parameters and initial detector parameters; according to the initial ray source parameters, the initial detector parameters, and the positional relationship of the geometric calibration phantom with respect to a ray source and the detector, obtaining a theoretical projection position of the geometric calibration phantom on the detector by means of geometric calculation; constructing an optimization function of the deviation between the actual projection position and the theoretical projection position in terms of the ray source parameters and the detector parameters; and according to the optimization function, determining the ray source parameters and the detector parameters which correspond to the minimum deviation value as optimized ray source parameters and optimized detector parameters, and determining the optimized ray source parameters and the optimized detector parameters as geometric calibration parameters.

The invention relates to a transmission electron microscope low-temperature sample rod using a flexible structure to transfer heat. The transmission electron microscope low-temperature sample rod comprises a liquid nitrogen Dewar tank; the sample rod comprises a sample rod body with a front-back through hollow cavity, a heat conduction rod and a flexible heat transfer rope, one end of the heat conduction rod extends into the liquid nitrogen Dewar tank, the other end of the heat conduction rod extends into the sample rod body, one end of the flexible heat transfer rope is wound and fixed on the heat conduction rod, and the other end of the flexible heat transfer rope is wound and fixed on the sample rod body. The other end of the sample rod extends to the outer end of the sample rod body; the sample rod head comprises a sample rod fixing outer frame and a sample rod temperature control part, the sample rod fixing outer frame is connected with the outer end of the sample rod body, the sample rod temperature control part is arranged on the sample rod fixing outer frame, the sample rod temperature control part is connected with the flexible heat transfer rope, and a heating element capable of heating a sample to be tested is further arranged on the sample rod temperature control part. Compared with the prior art, efficient heat conduction can be achieved, meanwhile, the thermal stress influence is reduced, and the temperature stability and the sample position stability are improved.

The invention belongs to the technical field of fan damage detection, and particularly discloses an unmanned aerial vehicle-based offshore fan blade damage detection system, which comprises a detection partition determination module, an unmanned aerial vehicle acquisition control module, a damage image acquisition module, a fan damage analysis module and a fan damage feedback terminal. According to the method, the damage point and the blade area are positioned through preliminary cruising of the unmanned aerial vehicle, and the fan array is divided, so that the dilemma that a traditional detection mode is easily interfered in an offshore high-wind-speed environment is changed, and the complicated offshore environment can be flexibly coped with; meanwhile, the shooting distance and the shooting time point of the unmanned aerial vehicle are adjusted by combining the space coordinates of the damage point, the real-time blade rotating speed and the real-time offshore wind condition to generate a shooting parameter instruction, so that the limitation and the monitoring dead angle limitation of traditional fixed-view-angle monitoring are broken through; and finally, crack analysis of different depth layers is carried out on the optical image and the ray image, so that the damage degree can be evaluated more comprehensively and accurately.

The invention discloses an in-situ identification analysis method for superfine non-metallic inclusions in steel, and mainly solves the technical problems that the superfine non-metallic inclusions in the existing steel are difficult to identify and extract and the microstructure and phase composition of the inclusions are difficult to characterize. According to the technical scheme, the method for detecting and analyzing the small-size non-metallic inclusions in the steel by using the scanning electron microscope comprises the following steps: (1) preparing a metallographic sample; 2) preparing a transmission electron microscope sample, and determining an area where the inclusion of the metallographic sample is located by using a scanning electron microscope; carrying out accurate positioning and in-situ micro-nano thinning and cutting on the area where the inclusion of the metallographic sample is located by using a focused ion beam double-beam electron microscope system, and extracting the superfine non-metallic inclusion; and 3) analyzing the ultrafine non-metallic inclusions in the transmission electron microscope sample, and detecting the grain orientation of the ultrafine inclusions by using a transmission-type electron back scattering diffractometer. The method provided by the invention can accurately identify and extract the superfine non-metallic inclusions and the phase composition, components and grain orientation thereof in situ.

The invention relates to the technical field of analysis and detection, in particular to a micro-area distribution detection method for micro and / or trace component elements in nickel-based single crystal superalloy. According to the method, the conventional common element distribution detection means (EPMA, EDS, TOF-SIMS, TEM and EELS) are combined, the detection limit and the detection advantages are referred, different devices are reasonably utilized by analyzing different phase structure characteristics, quantitative or semi-quantitative element micro-area distribution analysis is quickly and effectively realized, the use requirements on high-precision devices are reduced, and the method is suitable for large-scale popularization and application. And the cost and the test difficulty are greatly reduced.

The invention relates to the technical field of transmission electron microscope in-situ experiments, in particular to a transmission electron microscope in-situ multi-field coupling experiment platform which comprises a sample rod, a carrying table, a thermoelectric chip, a magnetic field generating device and a flexible circuit board. A first mounting groove and a second mounting groove are formed in the carrying table; the thermoelectric chip is arranged in the first mounting groove, and a carrying part, an electrical control unit and a temperature control unit are arranged on the thermoelectric chip; the magnetic field generating device is arranged in the second mounting groove and can generate a controllable magnetic field on the carrying part; the carrying part is used for carrying a sample, the electrical control unit is configured to load and measure an electrical signal of the sample, the temperature control unit is configured to control and measure the temperature of the carrying part, and the transmission electron microscope in-situ multi-field coupling experiment platform provided by the invention realizes cooperative application and accurate control of an electric field, a magnetic field and a temperature field.

The invention provides a self-adaptive dual-energy pulse X-ray detection system and a detection method. The self-adaptive dual-energy pulse X-ray detection system comprises a dual-energy X-ray emission module, a pulse modulation and high-voltage power supply module, a detector array and a self-adaptive control system, wherein the dual-energy X-ray emission module is in signal connection with the pulse modulation and high-voltage power supply module; the detector array is positioned on the opposite side of a detected object; and the self-adaptive control system is in signal connection with the pulse modulation and high-voltage power supply module. The self-adaptive dual-energy pulse X-ray detection system and the self-adaptive dual-energy pulse X-ray detection method have high penetrating power, and the problems of fuzzy recognition and generation of image blind areas can be effectively avoided.

The invention provides a TEM sample and a preparation method and application thereof.According to the preparation method of the TEM sample, on the premise that the hole structure of a semiconductor device is not affected, part of residual polymer accumulated and blocked in a hole opening in the semiconductor device is removed through reactive ion etching, so that the hole opening is expanded and not blocked any more; a protective colloid can enter a pore structure for filling and precursor material plating of atomic layer deposition is facilitated, the definition of the side wall of the pore is enhanced, and the quality and the final observation effect of the TEM sample are effectively improved; the equipment and technology adopted by the preparation method of the TEM sample provided by the invention are low in investment, and the operation process is simpler and faster than that of a Fab etching process; meanwhile, batch laboratory-scale sample treatment can also be realized; in addition, compared with a wet chemical corrosion cleaning technology for removing residual polymers, the problems of chemical reagent residues, chemical reactant pollution and the like at the bottom of the deep hole structure are avoided.

The invention discloses a BNCT dose calculation method, which comprises the following steps: S1, constructing a voxel model, initializing one or more particles in a simulation system, and respectively acquiring the initial position, energy and movement direction of each particle; s2, adaptively selecting a Monte Carlo particle tracking algorithm and a flux counting mode based on the region where the particles are located and the energy of the particles; s3, repeating the step S2 until the particles leave the simulation system or are killed when meeting a truncation condition; and S4, cumulatively calculating dose distribution. Through the BNCT dose calculation method, the Monte Carlo particle transport simulation time is greatly shortened, the BNCT dose calculation efficiency is optimized, and the method is suitable for rapid and high-precision radiation dose simulation under a BNCT complex tissue structure.

The invention discloses an X-ray detection device and method for detecting a PCB, and the device comprises a housing, and an X-ray emission source transmission system, an X-ray detector transmission system and a PCB conveying system which are disposed in the housing. The X-ray emission source transmission system is high in X-ray emission source transmission speed, high in precision and small in vibration quantity, the X-ray detector transmission system is high in X-ray detector transmission speed, high in precision and small in vibration quantity, the PCB conveying system can automatically input and output PCBs, the height of the PCBs can be automatically adjusted, and the PCB conveying efficiency is improved. The PCB conveying system can adapt to PCBs with different width sizes, and can be prevented from blocking X rays.