1105 results about "Destructive testing" patented technology

The invention relates to the technical field of special equipment nondestructive testing image intelligent identification, and discloses a special equipment nondestructive testing image defect automatic identification method and system, and the method comprises the steps: carrying out the preprocessing based on an anisotropic diffusion mechanism; a local self-adaptive threshold method is adopted to complete preliminary defect area positioning; constructing a scale consistency constrained multi-scale image pyramid; constructing defect morphological parameters; and carrying out defect type identification by fusing fuzzy form constraint and an SVM classification mechanism. In the prior art, a global filtering or fixed threshold segmentation method is mostly dependent, and especially under the conditions of V-shaped grooves, multi-layer weld structures and corrosion perforation defects, accurate identification of irregular, multi-scale and weak-contrast defects cannot be realized. According to the method, the anisotropic diffusion mechanism is introduced, the multi-scale response extraction of scale consistency constraint is combined, and the classification strategy of fuzzy form modeling is fused, so that the accuracy of special equipment image defect identification is improved.

The invention provides a multi-mode ultrasonic fusion pressure vessel weld defect nondestructive testing method and system, and relates to the technical field of nondestructive testing. According to the method, geometric parameters of a welding seam are obtained through three-dimensional laser scanning, and an optimal scanning parameter set is generated; driving ultrasonic phased array equipment to scan for one time and synchronously acquire shear wave full-matrix capture and longitudinal wave linear scanning data; performing energy flow angular spectrum analysis and envelope analysis on the bimodal data, extracting defect feature parameters and constructing a three-dimensional feature tensor; carrying out multi-dimensional feature fusion by adopting Tucker decomposition, and enhancing a core tensor through physical modeling; generating three types of defect indication diagrams including a defect existence possibility diagram, a defect relative scale diagram and a defect space orientation diagram from the enhanced feature tensor; and the three types of indication diagrams are visually presented for comprehensive interpretation of detection personnel. Through multi-modal data fusion and physical modeling enhancement, the defect identification accuracy and detection efficiency are remarkably improved, the false alarm rate is reduced, and reliable technical support is provided for pressure vessel welding seam safety detection.

The invention belongs to the technical field of nondestructive testing, and particularly relates to a detection method for quantitatively evaluating fatigue damage in a pipeline through a nonlinear ultrasonic technology. 316 stainless steel and SA335GRP-11 ferrite steel samples are adopted, a welding seam area is formed through V-shaped groove welding, fatigue loading is conducted, and actual pipeline fatigue damage is simulated; for the samples with different fatigue cycles, nonlinear response signals of the samples are obtained; fourier transform is carried out on the obtained signal to obtain an energy spectrum of the signal, and energy changes of the signal on a fundamental frequency band and a second harmonic frequency band are analyzed; and calculating a nonlinear coefficient, and analyzing a change rule of the nonlinear coefficient along with fatigue cycles, so that the evolution process of fatigue damage in the pipeline is evaluated. According to the method, energy is used for replacing the amplitude value, on the basis of the formula principle, integration is used for replacing the amplitude value to improve the intensity of the characterization nonlinear ultrasonic signal, the early stage of damage and the later stage of crack initiation are detected, and reliable guarantee is provided for safe operation of an industrial pipeline system.

The invention belongs to the technical field of nondestructive testing, and discloses a vector coherence factor-based thick-wall austenitic stainless steel welding seam full-focus imaging method, which comprises the following steps of: acquiring full-matrix data through a TRL area array probe, constructing an imaging area, calculating a spatial relationship, optimizing a propagation path in combination with a Fermat principle, and obtaining a full-focus imaging result; the method comprises the following steps of: firstly, extracting an instantaneous phase of an ultrasonic signal to construct a vector coherence factor, reconstructing an imaging data matrix according to the coherence factor, and obtaining a phase coherence weighted full-focusing imaging result, so as to ensure that each pixel point can obtain an optimal propagation path, thereby generating a full-focusing image data matrix by adopting a point-by-point delay superposition technology; the method can effectively improve the signal-to-noise ratio and positioning and quantification precision of the thick-wall austenitic stainless steel weld joint detection image, and has good engineering application value.

The invention discloses a nondestructive testing method for a welding seam of a steel structure. The method comprises the steps that firstly, morphology data of the surface of a building steel structure are obtained through a high-precision laser scanner and an electromagnetic induction technology; coating thickness distribution and weld surface roughness are analyzed based on the morphology data, and a surface information matrix is constructed; then automatically adjusting ultrasonic wave beam parameters of the ultrasonic phased array by using the adaptive parameter regulation and control model and executing detection to obtain a preliminary ultrasonic echo signal; the time-frequency domain difference between the preliminary echo and the reference signal is calculated through an echo signal compensation model, and secondary compensation is completed to obtain an optimized ultrasonic echo signal; fusing the optimized echo signal, the morphology data and the surface information matrix to construct a detection data set, and adopting a pre-trained steel structure detection model to realize defect detection; and finally, evaluating the confidence of a detection result by adopting a three-dimensional confidence evaluation model, performing grading, and performing local re-detection and parameter adjustment on a low-confidence region to form closed-loop optimization. According to the method, the surface state of the steel structure can be adaptively matched, the accuracy of echo signals and the defect detection precision are improved, and the detection reliability is guaranteed through three-dimensional confidence evaluation.

The invention discloses a high-sensitivity metal micro-strain sensor label and a detection method thereof, which are applied to the field of nondestructive testing and the field of structural health monitoring. The problems that an existing tag antenna is low in strain detection sensitivity and difficult in micro-strain detection are solved. The high-sensitivity metal micro-strain RFID sensing tag is attached to the surface of a component, when the tag deforms, the impedance change of the tag is Zsened, and the radar cross section changes accordingly; the reader can remotely monitor antenna parameters according to the change of the RCS0, the RCS1 and the intensity while communicating with the tag, so that the change of the intensity RSSI of an echo signal is deduced, and the deformation of the tag is indirectly known; when the impedance of the tag antenna changes, the resonant frequency of the tag changes accordingly, and the deformation information of the tag can be indirectly obtained by analyzing the deviation of the resonant frequency.

The invention relates to the field of nondestructive testing, in particular to a flaw detection method for a large steel box girder and a related product, and the flaw detection method comprises the following steps: importing a three-dimensional model of the large steel box girder, and analyzing the three-dimensional model to obtain geometric feature information of the steel box girder; generating a scanning path of the ultrasonic probe based on the geometric feature information; an ultrasonic probe is controlled to scan the large steel box girder according to the scanning path, and ultrasonic echo signals are collected; the ultrasonic echo signals are processed, and the welding defect positions of the steel box girder are recognized and positioned; according to the method, the three-dimensional model of the steel box girder is imported and analyzed, automatic extraction of the detection area and the welding seam information is achieved, the optimized probe scanning path is generated by applying the self-adaptive path planning algorithm, efficient and full-coverage detection of the large complex structural part is achieved, and missing detection is avoided.

The invention discloses a magnetoacoustic coupling detection system and method for pipeline defect detection, and relates to the technical field of pipeline nondestructive detection. The system comprises a pipeline defect detection module, a magnetofluid driving module, an auxiliary moving module, a signal acquisition module, a data processing module and a data transmission module. The pipeline defect detection module comprises a magnetic flux leakage detection unit and an ultrasonic detection unit; the magnetofluid driving module comprises magnetofluid and an electromagnetic excitation device; the auxiliary moving module comprises a plurality of driving wheels tightly attached to the inner wall of the pipeline. The signal acquisition module comprises a data acquisition unit and a data storage unit; and the data processing module is used for processing the acquired magnetic excitation parameters, the magnetic leakage signals and the sound wave sensing data. According to the invention, the technical problems of low defect identification precision, complex use of a coupling agent, insufficient real-time data processing capability and the like existing in a single detection mode in the prior art can be solved.

The invention discloses a flow-guiding-free laminar flow water column nozzle, a nondestructive testing system and application of the flow-guiding-free laminar flow water column nozzle, and belongs to the field of industrial manufacturing. The flow-guiding-free laminar flow water column nozzle comprises a nozzle body, a nozzle head is detachably installed at the front end of the nozzle body through a connecting flange, and a filter element capable of greatly increasing the length of a laminar flow water column is arranged in the nozzle body through a clamping base; at least two through holes communicated with an internal channel of the nozzle body are formed in the nozzle body, a first flow channel, a second flow channel, a third flow channel and a fourth flow channel are sequentially formed in the nozzle body and the internal flow channel of the nozzle head in the water flow spraying direction, the filter element comprises a middle section, and a net face section is arranged at the end, away from the nozzle head, of the middle section. The end, close to the nozzle head, of the middle section is provided with a sunken section. According to the flow-guide-free laminar flow column nozzle, the nondestructive testing system and the application thereof, the filter element matched flow channel streamline combination capable of greatly improving the length of a laminar flow column can be achieved, the filter element can be manufactured through 3D printing, and the fund cost and the time cost are reduced.

The invention discloses a single crystal turbine blade crystal orientation defect detection system based on adaptive optics, particularly relates to the field of nondestructive testing, and is used for solving the problem that thermal damage and signal consistency are difficult to consider in acoustic imaging of complex structural parts. Through partition energy threshold setting, dynamic pulse planning, photoacoustic processing and unified coordinate cross-subarea data synthesis, local thermal damage caused by excessive concentration of energy is effectively avoided in the material detection process, and the requirement for collecting high-bandwidth signals can be met in a large range. The signal-to-noise ratio and the detection efficiency are improved by regulating and controlling pulse energy and a scanning path, the amplitude comparability and the image coherence among regions are ensured through signal normalization correction and subregion image set splicing, high-resolution and comprehensive-coverage acoustic mapping is output, the crystal orientation defects of the single crystal turbine blade are positioned and evaluated, the detection precision is improved, the measurement period is shortened, and the method is suitable for large-scale popularization and application. And the method has an applicable value for aero-engine parts requiring rapid and high-precision nondestructive detection.

The invention discloses a nondestructive testing device and a testing method for heterogeneous parts of engineering machinery. The method comprises the following steps: acquiring material attributes and historical failure data of a heterogeneous component, extracting defect form and position feature parameters, constructing a statistical distribution model and generating a typical feature set; according to the statistical distribution model and the material attributes, generating a virtual defect data set containing form and position features by adopting numerical simulation; performing finite element analysis on the virtual defect data set, calculating a stress concentration effect and an expansion trend, and outputting a defect harmfulness quantitative index; and if the harmfulness index exceeds a preset threshold value, marking the defect as a high-risk defect, and generating a preferential simulation target set and the like. According to the method, all links of nondestructive testing are covered from data acquisition to standard construction, a set of complete working process is formed, and the nondestructive testing problem of the heterogeneous parts of the engineering machinery can be systematically solved.

The present invention relates to a bearing ball inspection system configured for automated non-destructive testing of spherical components. In an exemplary embodiment, a bearing ball is delivered to an inspection point by a rail guide and supported by a positioning wheel configured to rotate the bearing ball during imaging. Cameras capture images of different surface regions under controlled illumination provided by ultraviolet or white-light sources. A control system comprising a microprocessor and memory executes a machine learning model to analyze the images and detect surface defects without requiring manual interpretation. Based on the analysis, a sorting mechanism directs the bearing ball to a pass or fail location. The system further includes communication interfaces configured to transmit inspection results to a remote computing device and receive control instructions. This integrated architecture enhances inspection reliability, improves throughput, reduces inspection variability, and supports centralized management of inspection systems across distributed production sites.

The invention provides an infrared pulse thermal radiation grinding burn nondestructive testing method and system, and belongs to the technical field of nondestructive testing. Comprising the following steps: inputting an excitation signal to an induction coil, and inducing a pulsed eddy current in a tested part for heating; a thermal infrared imager and a depth camera are used for obtaining a thermal response temperature matrix of a measured area of the part and a three-dimensional point cloud of the measured area; then, constructing a thermal response model of the part; extracting a time sequence temperature curve of the heating stage and the natural cooling stage of the detected area, and establishing a grinding burn discrimination function to judge whether a grinding burn area exists or not; and the thermal infrared imager and the depth camera are calibrated, the grinding burn area under the coordinate system of the thermal infrared imager is projected into the three-dimensional point cloud of the depth camera, the position of the grinding burn area under the world coordinate system is obtained, and detection and positioning of the grinding burn area are achieved.

The invention discloses an eddy current testing reliability evaluation method and system based on signal space distribution characteristics, and belongs to the technical field of nondestructive testing. According to the method, eddy current signal space distribution characteristics and the detection probability (POD) and the false detection rate (PFA) in nondestructive testing reliability evaluation indexes are fused, and the method is used for comprehensively evaluating the defect detection capacity and the reliability of a detection system. By introducing the Gini coefficient to quantitatively detect the imbalance of signal space distribution, the method effectively characterizes the distinguishability of signals in a defect state and a defect-free state, and replaces traditional POD and PFA analysis methods based on single-point amplitude or phase characteristics. Compared with a traditional method, the Gini coefficient can more comprehensively represent the overall distribution characteristics of the signals, the influence of noise is small, and the method is particularly suitable for the eddy current detection environment under the condition of the low signal-to-noise ratio. Besides, a POD and PFA relation curve is constructed based on Gini coefficients, ROC analysis is performed, the defect detection rate can be effectively increased, the false detection rate can be reduced, and the reliability of the nondestructive testing system can be evaluated more efficiently and accurately.

The invention discloses a gear defect detection system and method based on gear pump machining, and relates to the technical field of nondestructive testing. The gear defect detection platform is in communication connection with a magnetization preprocessing module, a magnetic signal acquisition module, a magnetic signal processing module, a gear defect analysis module and a defect visual labeling module, and all the modules are in electric signal connection; and the magnetization preprocessing module is used for customizing a magnetization scheme according to the material and structural characteristics of the gear. According to the method, the signal separation and feature extraction technology is adopted, independent features of different defect types can be effectively extracted from magnetic signals, the defect classification model is constructed, then surface damage, geometric deformation and fatigue cracks are accurately distinguished, quantitative analysis is conducted on the severity of the defects, the defect classification accuracy is improved, and the defect classification efficiency is improved. And classification errors caused by overlapping of magnetic signals in a traditional method are avoided.

The invention relates to a method and a system for designing a cable nondestructive testing probe based on tomography. The method comprises the following steps: firstly, establishing a finite element simulation model of a multi-layer cable structure, annularly configuring a coil sensor array at the periphery of a cable to form a tomography detection device, setting defects between layers of the finite element simulation model, and obtaining boundary voltage response data of the coil sensor array; constructing and solving a two-dimensional sensitive field mathematical model according to the boundary voltage response data, solving a sensitivity matrix of the electromagnetic parameter variation and the boundary voltage through a numerical calculation method, and constructing a nonlinear inverse problem model in combination with the boundary voltage response data; solving the inverse problem model to obtain a reconstructed image; and finally, determining an optimal probe design scheme based on the quality of the reconstructed image. Compared with the prior art, the method has the advantages that the sensitivity and the spatial resolution of defect detection are remarkably improved while non-contact measurement is guaranteed, and the method can meet the nondestructive detection requirements of cables of different specifications.

The invention discloses a method for detecting a black leather material through eddy current, and relates to the technical field of nondestructive testing. Shot blasting current and revolution are controlled through shot blasting pretreatment, so that the surface roughness Ra of the black leather material is reduced to be less than or equal to 6.3 microns, a qualified detection surface is provided for eddy current flaw detection, and the detection precision is prevented from being influenced by the surface state; a special sample rod containing longitudinal and transverse artificial defects is prepared, the sensitivity of a flaw detection system to defects in different directions can be synchronously verified, the detection comprehensiveness is ensured, eddy current flaw detection parameters are optimized, defect signals and noise signals are effectively distinguished by adjusting a current gate, optimizing filtering setting and maintaining phase difference stability, and the signal recognition accuracy is improved; according to the multi-frequency eddy current detection, three excitation signals with different frequencies are applied, so that the coverage detection of the defects of different depths of the black skin material is realized, the defect detection rate is improved, eddy current flaw detection core parameters are dynamically adjusted, the influence of surface non-uniformity on an eddy current field is compensated, and the detection stability is ensured.

The invention relates to the technical field of ultrasonic non-destructive testing, and discloses an intelligent ultrasonic non-destructive testing device which comprises a body mechanism, the body mechanism comprises an operation table, a displayer, an ultrasonic testing instrument and a mounting frame are fixedly mounted on the upper surface of the operation table, and an electric sliding rail is fixedly mounted on the inner top wall of the mounting frame; a mechanical arm is fixedly installed on the bottom face of the electric sliding rail, a probe is fixedly installed on the bottom face of the mechanical arm, and a processing mechanism is arranged above the operation table. The processing mechanism comprises a smearing unit, and the smearing unit is located below the mechanical arm and used for evenly smearing the coupling agent on the to-be-detected object according to the detection speed. According to the intelligent ultrasonic nondestructive testing device, the output efficiency of a coupling agent is automatically adjusted according to the detection rate, so that the output coupling agent is uniformly smeared on the surface of an object to be detected, the phenomenon of poor coupling between a probe and the object to be detected is avoided, and the supply efficiency of the coupling agent is improved.

The invention relates to the technical field of nondestructive testing and performance analysis of engineering materials, in particular to a nondestructive testing and performance degradation analysis method for bridge structure materials. The method comprises the following steps: acquiring material nondestructive testing monitoring data, and executing unified alignment, noise portraying and quality labeling; carrying out combined noise reduction and component evaluation, and generating a noise reduction parameter snapshot; extracting a marginal spectrum and characteristic energy ratio, and establishing a material characterization characteristic index dictionary; calculating a variation index, judging material performance degradation, and constructing a supervision signal; and training the prediction network, generating a trend and a residual error, and completing early warning fusion by adopting a time neighborhood consistency strategy to obtain a material performance degradation early warning level sequence. According to the method, continuous nondestructive monitoring and quantitative characterization of material levels are realized, characteristics and parameters are traceable, cross-channel and cross-time evaluation is consistent, prediction and early warning are sensitive and stable, and the method is suitable for long-term service safety evaluation.

The invention discloses an electric spark nondestructive testing evaluation method for the integrity of a waterproof layer of a cable trench, and belongs to the technical field of nondestructive testing, and the method comprises the following steps: applying a multi-frequency electric signal through a preset moving electrode; the initial contact pressure of the moving electrode and the surface of the waterproof layer is obtained in real time, the pressure of the contact position of the moving electrode is adjusted, an electric spark signal generated at the defect position of the cable trench waterproof layer by a multi-frequency electric signal applied by the moving electrode is captured, and characteristic parameters of the electric spark signal are extracted to generate current electric spark characteristic data; utilizing the current electric spark characteristic data to distinguish defect types so as to generate a defect evaluation result; and outputting defect distribution information and triggering an acousto-optic alarm according to a defect evaluation result. According to the method, a detection mode of combining multi-frequency electric signal excitation and electric spark signal feature extraction and analysis is adopted, waterproof layer defect types can be distinguished, the severity of the waterproof layer defects can be evaluated, and the detection accuracy is improved.

The invention provides a steel wire rope nondestructive detection device and method, the detection device comprises a shell, a signal processing module and a plurality of probes, the shell is provided with a detection cavity, the detection cavity penetrates through the shell along the axial direction of the shell, and the detection cavity is used for placing a steel wire rope; the plurality of probes are arranged on the inner wall of the detection cavity, and each probe is connected with the signal processing module through a wire; the probe comprises an excitation coil and two detection coils, the two detection coils are located on the two sides of the excitation coil, and the excitation coil and the detection coils are coaxially arranged, so that the detection coils can be most effectively coupled with eddy current magnetic field signals generated by the excitation coil and modulated by defects, and the signal acquisition efficiency is improved.

The invention discloses a multi-element X-ray detector automatic calibration system and a working method thereof, and relates to the technical field of nondestructive detection.The multi-element X-ray detector automatic calibration system comprises a box body, a protective cover is arranged on the box body, a Y-axis guide rail is arranged in the protective cover, a Y-axis driving device is arranged on the protective cover, and an X-axis driving device is arranged on a supporting plate and used for driving a sample table to move on an X-axis guide rail on the supporting plate; the detector driving device is arranged on the protective cover and used for driving a detector moving block on a detector guide rail on the top wall of the protective cover to move along the detector guide rail, an X-ray detector is installed at the bottom of the detector moving block through a connecting arm, and a plurality of X-ray tubes are arranged at the bottom of the X-ray detector. A sensor, a vacuum adsorption system and a radiation detector are arranged on the inner rear wall of the protective cover, and a touch display panel is arranged on the outer side of the protective cover. According to the adaptive path planning algorithm, the sample three-dimensional model is analyzed based on deep learning, the optimal calibration path is automatically generated, and the redundant moving distance is reduced.

The invention relates to the technical field of power transmission line detection devices, and particularly discloses a lightweight power transmission line X-ray imaging detection device which comprises a rack, two groups of walking mechanisms and a detection mechanism. The rack is provided with a telescopic extension rod, and the detection mechanism is arranged at the tail end of the extension rod. The walking mechanism comprises a walking arm and a walking wheel which can synchronously move in the Y direction, and the detection mechanism comprises an imaging plate and a ray source which can be adjusted in multiple directions. According to the device, by simplifying the structure of the walking arm, adopting the translation driving device, optimizing the layout of the detection mechanism and the like, the light weight of the whole structure is realized. According to the design, the weight and the size of the device are reduced, transportation and high-altitude deployment are facilitated, meanwhile, the walking stability is guaranteed through reasonable gravity center arrangement, and nondestructive testing on the power transmission line can be efficiently completed.

The invention relates to the technical field of nondestructive testing, in particular to an external liftable far-field eddy current probe and a detection method thereof.The external liftable far-field eddy current probe comprises a supporting base and an F-type electromagnetic shielding structure, the F-type electromagnetic shielding structure is nested in the supporting base, and the supporting base mainly functions as the F-type electromagnetic shielding structure; the F-type electromagnetic shielding structure comprises an electromagnetic shielding part, an excitation coil, an F-type pure iron body and a detection coil, the excitation coil is wrapped by the electromagnetic shielding part and embedded in the bottom of one end of the F-type pure iron body, and the detection coil is embedded in a supporting base located below the other end of the F-type pure iron body. According to the far-field eddy current probe, through the arrangement of the F-type electromagnetic shielding structure, direct magnetic field energy is effectively shielded, meanwhile, indirect magnetic field energy is effectively exerted, the indirect magnetic field energy smoothly penetrates through the flat plate twice, the detection sensitivity of the far-field eddy current probe is improved, and the detection efficiency and the detection accuracy are improved.

The invention aims to provide an ultrasonic transducer capable of continuously and stably working in a high-temperature and high-pressure extreme environment, and belongs to the technical field of ultrasonic nondestructive testing, the ultrasonic transducer comprises a packaging matching layer, a piezoelectric layer, an electrode layer and a backing layer, the packaging matching layer can have the effects of high temperature resistance, high pressure resistance and heat dissipation so as to match acoustic impedance, and the piezoelectric layer is arranged on the backing layer. Therefore, the acoustic performance of the transducer is improved. The piezoelectric layer can keep excellent piezoelectric performance in a high-temperature environment. The electrode layer and the back lining layer can achieve a good heat dissipation effect, and the service life is prolonged. The method has a wide application prospect in the field of ultrasonic nondestructive testing in an extreme environment.

The invention relates to the technical field of welding seam detection, and provides pressure vessel welding seam nondestructive detection equipment which comprises a fixing mechanism and a detection mechanism. The fixing mechanism comprises a fixing frame, an operation ring and a fixing assembly inserted in the operation ring, the operation ring is rotatably arranged on the fixing frame, and a plurality of abutting plates are slidably arranged on the fixing assembly; the detection mechanism comprises a shifting frame, an operation cylinder, an outer detection assembly and an inner detection assembly, a guide rail is installed at the bottom of the shifting frame, the operation cylinder is rotationally arranged on the shifting frame, the outer detection assembly is fixed to one end of the operation cylinder, and the inner detection assembly is installed at the other end of the operation cylinder; an outer detector and an inner detector used for extending into the pressure container are arranged on the outer detection assembly and the inner detection assembly respectively. The invention solves the problem that the existing nondestructive testing equipment is difficult to automatically detect the internal defects of the welding seam, and has the advantages of compact structure, capability of replacing part of manual labor force and good detection effect.

The invention provides a nondestructive testing method and system for the quality of a filling body based on ultrasonic pulse speed, and belongs to the technical field of green mining of deep mineral products and quality detection of filling bodies. The system integrates an ultrasonic pulse wave velocity test module, a data processing module, a result output module and an adaptive calibration module which work cooperatively. According to the method, a UCS-UPV power function quantitative model is constructed through a three-factor multi-level test, in-situ-indoor deviation is eliminated in combination with an environment + stress two-dimensional adaptive correction coefficient, and filling body quality grading and evaluation are achieved through on-site ultrasonic detection and strength inversion. According to the method, nondestructive detection is adopted, various stope scenes from shallow parts to deep parts are adapted, a quality control closed loop and a data tracing system can be formed, stope stability and mining safety are effectively guaranteed, and the technical problems that a traditional detection method is high in destructiveness, high in cost and poor in timeliness, and existing ultrasonic detection is insufficient in adaptability and limited in precision are effectively solved.

The invention discloses a pressure vessel welding seam nondestructive testing device, and relates to the technical field of pressure vessel detection. The device comprises a base, an arc-shaped groove used for bearing a spherical container is formed in the center of the base, a first movable plate is arranged on the base through an annular moving mechanism, the annular moving mechanism drives the first movable plate to rotate around the circle center of the spherical container, and an arc-shaped plate matched with the curvature of the outer wall of the spherical container is arranged on the first movable plate; a second movable plate is arranged on the arc-shaped plate through an arc moving mechanism; the spherical container is placed in the arc-shaped groove in the base, the annular moving mechanism drives the first movable plate to rotate, the arc moving mechanism drives the second movable plate to move in an arc-shaped mode, the annular moving and the arc moving can enable the detection head to move on the surface of the spherical container at two degrees of freedom, it is ensured that the detection head can cover all types of welding seams, and meanwhile the detection efficiency is improved. Oxide skin on the welding seam is cleaned and removed through the cleaning mechanism, so that the lift-off distance between the detection head and the container is prevented from being influenced by the oxide skin.

The invention discloses a high-temperature pipeline magnetostrictive guided wave sensor and a monitoring method, and relates to the field of ultrasonic nondestructive testing. According to the sensor, a wrinkled iron-cobalt alloy belt is used as a sensitive element, and the sensor is in dry coupling contact with a to-be-detected pipeline; the high-temperature-resistant static magnetic field coil is wound on the outer side of the aluminum pre-tightening ring in a solenoid mode, and a bias pulse excitation mode is adopted. Alternately winding the bottom end of the wrinkle structure of the wrinkle-type ferrocobalt alloy belt and the back surface of the belt material, controlling the wrinkle-type ferrocobalt alloy belt to excite a guided wave signal in a pulse section, and receiving the guided wave signal in a bias section; the dynamic magnetic field and the static magnetic field generated by the two groups of coils are perpendicular in direction, and torsional mode guided waves are generated in the high-temperature pipeline based on the reverse Weidmann effect. The sensor is easy to install and stable in performance, the whole structure is resistant to high temperature for a long time, and the engineering problem of high-temperature failure is solved. The method provided by the invention comprises the steps of optimizing pre-tightening force, pulse voltage and bias current parameters, so that the transduction efficiency is improved, and the capability of detecting new defects of the pipeline in high-temperature and variable-temperature states is enhanced.

The preparation method of the A1-grade nondestructive inspection high-impact-toughness TC4 titanium alloy large-size bar comprises the steps that a secondary finished product cast ingot is subjected to a multi-heating-number high-temperature single-phase beta-region large-deformation forging process in the cogging stage, and as-cast grains are fully crushed and refined in the modes of axial upsetting, lateral upsetting, diagonal upsetting and the like; then, high-low-high-low repeated forging is conducted at the temperature above and below the phase transformation point, grain homogenization is achieved through high-temperature dynamic recrystallization, an original grain boundary is eliminated, and deformation dead zones of a corner angle area are effectively reduced in combination with multi-heating-number diagonal drawing-out forging; and finally, multi-heating-number forging is conducted in the two-phase region, a heat treatment process is combined, the microstructure form is further optimized, and a lamellar alpha structure is controlled to guarantee the low-temperature impact performance. According to the method, the structure uniformity of the TC4 alloy bar can be remarkably improved, the A1-level nondestructive testing requirement is met, and the method has excellent axial and chordwise mechanical properties and is suitable for ocean equipment and other high-end application fields with strict requirements for the comprehensive performance of materials.