3152 results about "Welding joint" patented technology

The invention discloses a weldment welding seam automatic detection method and device based on machine vision, and relates to the technical field of machine vision intelligent detection. The weldment welding seam automatic detection method and device based on machine vision comprises the steps that S1, surface images and forming feature data of a weldment are collected and preprocessed to construct a standardized image feature data set; s2, the boundary clearness of the weld joint is evaluated by combining the edge strength and the contour coherence, and the main contour extraction range is dynamically adjusted; s3, analyzing abnormal focusing characteristics of the candidate area, and adjusting a defect labeling range and a detection priority; and S4, integrating the boundary definition and the abnormal focusing features, analyzing the structure abnormality, and dynamically controlling and verifying a resource allocation strategy. The problems that in the weldment detection process, obvious light reflection and texture blurring phenomena exist in a heat affected area at a weld joint, a traditional image enhancement and edge extraction algorithm is difficult to stably recognize microdefects, and the credibility of a detection result is reduced are solved.

The invention provides an intelligent real-time detection method and system for PCCP welding quality, and relates to the technical field of online detection and intelligent evaluation of pipeline welding quality through machine learning. Light energy data and multi-light-source images of a spiral weld pool are collected, exposure parameters are dynamically adjusted through the energy difference of visible light near-infrared bands, and the real-time detection of the PCCP welding quality is achieved. Inhibiting strong light interference and generating a weld surface image; a stress concentration area is positioned by scanning a welding seam thermal deformation area and combining speckle pattern change, sound frequency change and the elastic characteristic of the thin-wall steel cylinder; inputting the surface image and the deformation data into a space-time convolutional neural network, fusing light energy change, image details and spatial features to construct a weld joint space structure diagram, and adaptively correcting the position of a sensor; and comparing the sinking depth of the three-dimensional point cloud reconstruction, analyzing the correlation between the sinking degree and the stress, and generating a probability thermodynamic diagram to output the pressure-bearing failure risk level, so that the probabilistic early warning of the pressure-bearing failure risk can be realized.

The invention relates to the field of welding, and discloses a non-standard intelligent customized welding system based on vision and surface gradient, which comprises a visual perception module used for iteratively approaching a workpiece from a preset initial height through a self-adaptive high angle shooting exploration mechanism, and combining layered grid division based on a camera view and a progressive multi-angle expansion scanning mode, collecting multi-view three-dimensional point cloud data of the workpiece; and the point cloud processing module is used for performing regional progressive registration on the multi-view three-dimensional point cloud data, implementing threshold constraint based on point cloud curvature characteristics by dynamically adjusting registration step length, and eliminating accumulative errors in combination with pose map optimization. Through self-adaptive high-angle shooting and layered grid scanning, multi-view point cloud can be automatically collected without manually presetting a workpiece model, regional registration and curvature constraint are combined, the workpiece model is constructed, a weld joint structure is automatically extracted based on surface gradient features, traditional manual labeling is replaced, a welding track is generated according to weld joint topology, and the precision is dynamically corrected.

The invention discloses an intelligent welding quality evaluation method and system based on vision, and relates to the technical field of welding quality evaluation.The method comprises the steps that the welding process is monitored in real time through multi-mode imaging equipment, weld joint surface texture, molten pool heat distribution and three-dimensional shape information are synchronously obtained, and a three-dimensional voxel model is constructed; establishing a two-stage multi-channel architecture for executing dynamic resource scheduling, and extracting geometric features and deep semantic features in the three-dimensional voxel model; and on the basis of the defect confidence coefficient vector, in combination with the real-time process parameters and the molten pool state, a dynamic evaluation model of the welding quality index is constructed, and time-phased quality scores are calculated and output through stage weighting. According to the method, the welding seam surface texture, molten pool heat distribution and three-dimensional shape information are synchronously collected through multi-mode imaging equipment, a texture-temperature-space coordinate bound three-dimensional voxel model is constructed, and multi-source heterogeneous data fusion analysis of the welding quality is achieved.

The invention discloses a body-in-white welding seam recognition and automatic welding method based on a machine vision technology, particularly relates to the technical field of computer vision and image processing, and is used for solving the problem of welding seam track recognition accuracy caused by insufficient processing capability of an existing three-dimensional vision recognition method on incomplete and uncertain point cloud data. Through the steps of multi-view point cloud acquisition and registration, probabilistic confidence evaluation, region growth of track continuity constraint, multi-track fusion optimization and the like, accurate identification of a body-in-white welding seam track under a complex working condition is realized; firstly, multi-view point cloud data are obtained, probabilistic registration is carried out to generate a confidence evaluation result, then candidate tracks are generated based on confidence weighting and semantic constraint, finally, an optimal track is generated through intelligent optimization and converted into a welding instruction which can be executed by a robot, and the accuracy and robustness of weld joint recognition are effectively improved.

The invention discloses a weld quality intelligent diagnosis system based on deep learning, and relates to the technical field of welding quality detection, and the weld quality intelligent diagnosis system comprises an image quality evaluation module, a feature alignment module, a deviation detection module, a path reconstruction module, a prior enhancement module and a defect identification module, identifying an area of which the signal-to-noise ratio is lower than a preset threshold value, and constructing a noise interference distribution diagram; and the feature alignment module executes a deformable convolution feature alignment operation with a confidence factor adjustment mechanism based on the noise interference distribution diagram to generate an initial space mapping result. Through mechanisms such as image quality perception, robust alignment, deviation detection, self-adaptive reconstruction and prior enhancement, a closed-loop weld joint intelligent diagnosis process is constructed, false alignment errors are effectively inhibited, the multi-modal fusion stability and the defect recognition precision are improved, and the reliability and the intelligent level of the system under complex working conditions are enhanced.

The invention discloses an intelligent life prediction and optimization system and method for a steam turbine rotor welded joint. The system comprises a multi-source data acquisition module, a digital twin modeling module, a health state evaluation and life prediction module, a risk early warning module and an operation collaborative optimization module. The multi-source data acquisition module acquires the multi-dimensional physical quantity of the rotor welding joint in real time. The digital twin modeling module establishes a high-fidelity virtual model and realizes real-time synchronization and correction of a physical entity and a digital model. And the health state evaluation and life prediction module is used for calculating a damage accumulation rate and a health index based on fusion of a physical model and an LSTM neural network so as to realize residual life estimation. And the risk early warning module performs graded early warning according to the dynamic trend of the health state. And the operation collaborative optimization module adaptively adjusts operation parameters and optimizes the unit efficiency based on a reinforcement learning algorithm. All the modules are interconnected through an industrial network to form a closed loop, and real-time monitoring, intelligent evaluation and active service life management of the rotor welding joint are achieved.

The invention relates to the technical field of metal welding automation control, in particular to a metal welding seam automatic tracking welding system based on machine vision. Comprising a data acquisition module used for acquiring initial three-dimensional geometric parameters of a welding seam and monitoring welding process parameters including welding current, arc voltage and welding speed; the thermal deformation prediction module is used for solving a weld joint thermal deformation displacement vector; the dynamic deviation evaluation module is used for calculating a dynamic deviation index; the risk grading module is used for judging the trajectory deviation risk as safety, first-level risk or second-level risk; the defect tendency prediction module is used for calculating an incomplete fusion index and a hot crack index; the comprehensive risk assessment module is used for determining a comprehensive process risk factor; and the track correction module is used for generating a corrected welding gun target track so as to carry out closed-loop correction control on the welding process. According to the method, the problem of trajectory deviation caused by thermal hysteresis and dynamic deformation is solved, and the tracking precision and stability of the welding path are remarkably improved.

The invention provides a method for detecting the quality of a foundation steel bar welded joint, and belongs to the technical field of steel bar welded joint quality detection.The method comprises the steps that a stress distribution matrix is obtained through ultrasonic detection equipment, and a fatigue distribution matrix is established in combination with a fatigue analysis algorithm; a stress fatigue correlation analysis method and a bipartite graph maximum matching algorithm are used to construct a stress fatigue correlation matrix, a damage evaluation deep learning model based on a Transform architecture is used to generate a damage distribution matrix, and a time sequence prediction algorithm is used to consider a fatigue center change effect to establish a damage expansion trend matrix. A damage prediction matrix is deduced through a damage prediction deep learning model of a bidirectional long-short-term memory network, and finally, a quality detection result matrix is comprehensively evaluated and output by utilizing a game model, a multi-objective optimization algorithm and a gating weighting function, so that the technical problem that the quality detection accuracy of the steel bar welded joint is not enough is solved.

The invention discloses a niobium-zirconium alloy and nickel-based alloy vacuum brazing process and a part, and belongs to the technical field of vacuum brazing. According to the process, a vacuum brazing furnace is adopted for brazing, and BNi-2 brazing filler metal is used; the process comprises the following steps that S1, a welding assembly structure formed by a niobium-zirconium alloy part and a nickel-based alloy part is assembled, and BNi-2 brazing filler metal is arranged at the matching position of the welding assembly structure; s2, staged heating is carried out on the welding assembly structure under the preset vacuum degree of the vacuum brazing furnace, and the staged heating comprises a foreign matter removing heating stage, a brazing filler metal solid diffusion heating stage and a brazing filler metal melting wetting heating stage which are sequentially carried out; and S3, staged cooling is conducted on the welded assembly structure after welding is completed, the staged cooling comprises a furnace cooling stage and a gas quenching cooling stage which are conducted in sequence, according to the scheme, defect control over the niobium-zirconium alloy and nickel-based alloy welding joint can be effectively achieved, and the strength and sealing performance of the welding joint are guaranteed.

The invention discloses an automobile light-weight aluminum part connecting process and equipment based on laser welding, and relates to the technical field of automobile aluminum part laser welding, the equipment is based on a base body, a man-machine interaction control screen is arranged at the front end of the base body, and a driving motor and a threaded rod are arranged on the side wall of the base body; a lateral protection metal plate is fixed to the top end of the tool, a parameter adjusting plate is arranged on one side of the tool, a rotary station driving motor and a self-adaptive clamping tool are fixed to the parameter adjusting plate, an anti-scratching gasket is arranged on the inner wall of the tool in the circumferential direction, and the outer side of the tool is connected with a feeding air cylinder through a linkage lug base. The air cylinder is connected with a pressure controllable extrusion table through a first linkage lug base and a force transmission bending arm. A main bearing support is further welded to a base body, a laser welding head is installed on the main bearing support through a jacking air cylinder, a linear push rod and a fine adjustment lifting table, adjustment stability is guaranteed in cooperation with a guide structure, aluminum parts are prevented from being damaged through flexible clamping, precision is improved through multi-dimensional adjustment, and the precision welding requirement is met.

The invention provides a swing control method based on molten pool oscillation multi-feature fusion and related equipment, and relates to the technical field of welding, the method comprises the steps that in the argon arc welding process, an electric arc signal and a molten pool oscillation signal of a variable wall thickness welding area are collected in real time; oscillation amplitude, main frequency characteristics, current fluctuation coefficients and voltage-current phase difference characteristics are extracted from the molten pool oscillation signals and the electric arc signals and combined, and an oscillation comprehensive characteristic matrix is obtained; inputting the oscillation comprehensive characteristic matrix into a pre-trained classification model, and identifying a current molten pool state type; a corresponding swing compensation strategy is matched according to the state type of the molten pool, and asymmetric swing parameters are generated; and the asymmetric swing parameters and a preset basic welding track are subjected to superposition operation, and a composite control instruction is generated to control a welding gun to execute asymmetric swing welding. By implementing the method, different abnormal states of different molten pools can be subjected to differential control, and the stability of the variable-wall-thickness welding process and the forming quality of a final weld joint are improved.

The invention provides a welding seam identification and trajectory optimization method and system based on three-dimensional vision, and the method specifically comprises the following steps: firstly, collecting the three-dimensional point cloud data of a welding seam, extracting the local geometric features of the welding seam, and carrying out the feature enhancement of the local geometric features, so as to screen out representative effective edge points; and then, collecting multi-source point cloud data of the welding seam area, constructing a multi-scale welding seam feature recognition network, inputting effective edge points obtained by screening into the network, realizing accurate recognition of the welding seam area, and further extracting a linear welding seam area. According to the recognition result, a fitting algorithm is adopted for conducting curve fitting on the weld joint area, and a preliminary welding track is generated; and for the condition that multiple sections of welding seams are intersected, an optimal fitting point searching mechanism is further introduced, the preliminary track is optimized, and the continuity and integrity of a welding path are ensured. And finally, based on the center line of the welding seam, the posture of the welding gun is precisely planned in combination with the dihedral structure model, and therefore high-precision track control and posture adjustment are achieved.

The invention discloses a marine seat framework welding track real-time correction system based on machine vision and mechanical feedback. The marine seat framework welding track real-time correction system comprises a robot control unit, a welding unit, a vision sensing unit, a force sensing unit and a track correction module running on the robot control unit. The visual sensing unit is installed on an end effector of the robot and used for collecting image data including a to-be-welded weld joint and a peripheral area of the to-be-welded weld joint in real time. The force sensing unit is installed between a robot end effector and a welding gun and used for detecting six-dimensional force and torque signals between the welding gun and a workpiece in the welding process in real time. The core of the track correction module is a real-time correction algorithm based on multi-sensor information fusion, and the track correction module receives image data from the visual sensing unit and mechanical data from the force sensing unit. The sensing limitation of a single sensor is overcome, the vision provides macroscopic position deviation, the force sensing provides microcosmic contact and attitude information, and more comprehensive environment sensing is realized through complementation of the vision and the force sensing.

The invention provides an automatic positioning welding robot, and belongs to the technical field of automatic welding. Comprising a rack, the top of the rack is slidably provided with a portal frame, the top of the portal frame is slidably provided with a bearing frame, the top of the bearing frame is fixedly connected with a first electric push rod, the telescopic end of the first electric push rod is fixedly connected with a case, the bottom of the case is fixedly connected with a laser vision sensor, and the bottom of the case is provided with a mounting frame. The laser vision sensor is linked with the posture adjusting assembly and the transverse linear module, the problem that traditional automatic welding equipment cannot adapt to weld joint misalignment and gap changes is solved, the center position and the misalignment amount of a weld joint can be obtained before welding and in the welding process, and the welding quality is improved. The posture adjusting mechanism is driven to adjust the transverse position and the inclination angle of the welding gun, it is ensured that the arc of the welding gun is always accurately centered, the defects of undercut, incomplete fusion and the like caused by misalignment are effectively prevented, and the quality of a welded joint is improved.

The invention discloses a welding slag ladle for containing copper slag and a design method. The welding slag ladle is suitable for containing, cooling and inverted placing procedures of high-temperature copper slag. The cinder ladle comprises a cylinder body, a ladle bottom, rib plates, trunnions and supporting legs, the cylinder body and the ladle bottom are formed by welding high-temperature-resistant and high-strength rolled plates, the thickness of the cylinder body is 70-100 mm, and the thickness of the ladle bottom is 80-120 mm; setting an inclination angle beta of 11.5-21 degrees relative to the center line of the bus of the cylinder body, and controlling the roughness of the inner wall to be less than or equal to 12.5 microns so as to reduce the separation resistance after the copper slag is cooled; thickness combination, stress distribution, deformation and rib plate arrangement are optimized through structural mechanical simulation, and it is ensured that the structural strength meets the requirements under high temperature and thermal cycle loads; full penetration weld joints are adopted, nondestructive testing is carried out, and the welding reliability is guaranteed; compared with a traditional casting cinder ladle, the mass of the cinder ladle is reduced by 10%-15%, the deslagging efficiency is improved, the service life is prolonged to more than two times of the original service life, and the cinder ladle has the advantages of being light in structure, high in bearing capacity, high in deformation resistance and good in maintainability.

The invention discloses an intelligent welding and grinding integrated manufacturing system and a machining method, and belongs to the technical field of intelligent manufacturing. The system comprises a conveying belt, a portal frame stretching across the conveying belt, and a welding unit and a polishing unit which are arranged on the portal frame. The welding unit comprises a welding cross-shaped moving assembly, a welding-cooling assembly installed on the welding cross-shaped moving assembly and a welding seam tracking system. The grinding unit comprises a grinding cross-shaped moving assembly and a grinding assembly installed on the grinding cross-shaped moving assembly. The core of the system is that a central control system in communication connection with all the components is arranged, and the central control system is configured to receive weld joint track data recognized by the weld joint tracking system, sequentially control the welding device to weld along the track, control the cooling device to forcibly cool the weld joint and control the grinding device to grind along the same track based on the same data flow. Through path unification and procedure integration, continuous automatic operation of welding and grinding is achieved, and the machining precision, the production efficiency and the product quality are effectively improved.

The invention discloses a welding defect detection and automatic repair welding system, which comprises a repair welding execution module, a welding point cloud extraction module, a welding defect extraction module and a defect identification and classification module, and is characterized in that the welding point cloud extraction module is in signal connection with the repair welding execution module; complete point cloud data of a welding area are visually collected through the repair welding execution module, a target area is accurately extracted through the welding point cloud extraction module, and then efficient extraction and contour positioning of welding defects are completed through the welding defect extraction module based on point cloud feature analysis. Accurate identification and multi-type classification of defects are achieved through a defect identification and classification module, finally, six-dimensional coordinates of repair welding track points under a camera coordinate system are obtained through a repair welding instruction calculation module, and then a hand-eye calibration matrix, a tool calibration matrix and a transformation matrix between a wrist joint coordinate system and a base coordinate system are combined, so that the repair welding precision is improved. And through multi-coordinate system collaborative conversion, the six-dimensional pose of the repair welding track point of the mechanical arm welding gun is solved, and equipment is driven to complete repair welding operation.

The invention discloses a lithium battery laser welding detection method, and belongs to the technical field of nondestructive testing. The method comprises the following steps: acquiring a three-dimensional path point sequence of a to-be-detected welding seam; controlling the transient thermal excitation unit to apply transient thermal excitation along the path; a high-speed multispectral imaging unit is used for synchronously collecting the thermal radiation attenuation process of the weld joint under at least two different spectral bands, and a space-time spectrum data cube is formed; and finally, inputting the data cube into an artificial intelligence model for defect identification. The system correspondingly comprises a three-dimensional visual sensor, a transient thermal excitation unit, a high-speed multispectral imaging unit and a synchronous control and data processing unit. According to the method, different types of welding defects such as air holes and incomplete fusion can be effectively distinguished by analyzing the heat diffusion characteristic difference under different spectral bands, the interference of uneven surface emissivity is inhibited, and the online detection accuracy and reliability of the three-dimensional complex welding seam are improved.

The invention discloses a weldless integral high-strength feeding drill rod and a preparation method thereof. The drill rod comprises a female connector, an elevator groove, a thick-wall slip clamping section, a drill rod pipe body and a male connector which are integrally formed and have the same inner diameter. The drill rod is manufactured by integrally machining a solid bar or a thick-wall pipe body. The yield strength of the drill rod pipe body, the yield strength of the thick-wall slip clamping section and the yield strength of the elevator groove are 135 ksi-180 ksi, and the yield strength of the male connector and the yield strength of the female connector are 130 ksi-150 ksi; the outer diameter of the thick-wall slip clamping section is larger than that of the drill rod pipe body; the outer diameter of the elevator groove is smaller than that of the clamping section of the thick-wall slip; the outer diameter of the elevator groove is not smaller than that of the drill rod pipe body. The outer diameter of the connector does not need to be obviously increased, meanwhile, enough elevator lifting capacity is guaranteed, and the problem of poor structure performance caused by friction welding seams and welding area heat treatment is avoided. Complicated welding, postweld heat treatment and other procedures are omitted, the possibility that a weld joint serves as a performance weak link is avoided, higher comprehensive tensile mechanical performance is achieved, and the method is suitable for well drilling application of extra-deep wells, ocean deep wells and the like.

The invention relates to the technical field of welding, and provides a steel pipe welding auxiliary device for steel furniture production, which comprises an adjusting mechanism, a control mechanism is fixedly mounted on the inner left side of the adjusting mechanism, a fixing mechanism is fixedly mounted at the inner upper end of the adjusting mechanism, and the adjusting mechanism comprises a base, a transmission rod and a gear motor. Mounting bins are fixedly connected to the two sides of the upper end of the base correspondingly, lifting bins are slidably connected to the interiors of the mounting bins correspondingly, first threaded rods are in threaded connection to the lower ends of the lifting bins correspondingly, and first bevel gears are fixedly connected to the lower ends of the first threaded rods correspondingly. Through the cooperation of the adjusting mechanism and the control mechanism, the adjusting mechanism of different welding surfaces at the welding seam is optimized, the height change amplitude of the seam can be effectively controlled, obvious lifting of the seam is avoided, the stability of the welding process and the welding quality are guaranteed, the operation intensity of workers is reduced, and the production efficiency is improved. And the comfort and the convenience in the operation process are improved.

The invention discloses a laser-assisted helium arc penetration fusion welding method, and belongs to the technical field of welding. The problems that according to an existing paraxial laser-electric arc composite structure, the welding track is difficult to control, the energy coupling efficiency is low due to laser energy loss, and weld joint partial melting and undercut defects are caused due to uneven distribution of a welding temperature field due to a generated asymmetric heat source are solved. The welding method comprises the steps of 1, pretreatment; 2, after being focused by a focus lens, the laser is divided into three laser beams through a spectroscope, then the three laser beams are converged again through a plurality of reflectors, three fan-shaped light spots are formed on the surface of the to-be-welded plate after convergence, and finally the focal plane position of the laser is adjusted to be located on the surface of the to-be-welded plate; 3, setting welding current and arc voltage; and fourthly, laser is used for assisting helium arc penetration fusion welding. The method is used for laser-assisted helium arc penetration fusion welding.

The invention relates to a friction stir welding device for producing a spot-shaped or linear weld joint between a plastic plate or a plastic moulding and a metal or plastic substrate, comprising a welding head and a manually operable or controlled linear feed for the linear movement of the welding head, wherein the welding head comprises a rotatable or oscillatable stirring pin and an outer sleeve surrounding the stirring pin, wherein there is provided a reservoir for receiving material displaced by the stirring pin between the outer sleeve and the stirring pin, wherein the reservoir is limited by a step formed integrally with the outer sleeve or by a reservoir sleeve provided between the outer sleeve and the stirring pin.

The invention discloses a method for predicting the mechanical property of a dissimilar metal friction stir lap joint welded joint by fusing physical information, and belongs to the technical field of crossing of material processing and artificial intelligence. The method comprises the following steps that firstly, welding samples under different technological parameters are prepared through experiments, and the mechanical properties of the welding samples are tested; meanwhile, establishing a finite element simulation model, and extracting physical field data such as a temperature field and a stress-strain field; fusing the process parameters and the physical field data to serve as input features, taking the measured mechanical property data as output features, and forming a machine learning training data set; a prediction model is trained by adopting algorithms such as a gradient lifting decision tree and limit gradient lifting; and finally, new process parameters and physical field data obtained through finite element simulation are input, and the mechanical property of the joint can be efficiently and precisely predicted through the model. According to the method, the defects that a traditional trial and error method is high in cost and long in period are overcome, and key technical support is provided for optimization and intelligent design of the dissimilar metal friction stir lap welding process.

The invention relates to the technical field of coal mine supporting, in particular to a segmented collaborative welding process of a top beam hydraulic support. The method comprises the following steps: sequentially welding a plurality of rib plates and paired main rib pre-assemblies on the bottom surface of a top plate step by step, wherein the rib plates and the paired main rib pre-assemblies form the supporting rib assembly; and a first cover plate is arranged between the paired main reinforcement pre-assemblies, and welding is conducted along gaps between the first cover plate and the main reinforcement pre-assemblies to preset sub-welding points determined based on the thickness of the column socket base. And the column nest assembly is arranged on the side, away from the supporting rib assembly, of the first cover plate, and then the vertical edge of the column nest base is connected with the main rib pre-assembly in a welded mode. And the second cover plate is arranged between the column nest base and the first cover plate, and welding connection is carried out. And the first cover plate, the second cover plate and the column nest assembly located in the area below the branch welding points are welded to gaps between the main reinforcement pre-assembly. According to the welding process, the welding stress in the supporting rib assembly can be reduced, and the problem that the welding quality is poor due to superposition of heat affected zones of welding joints is solved.

The invention provides a construction project quality detecting and monitoring method and system, and relates to the technical field of data processing.The method comprises the steps that spatial positioning sensors are deployed at steel structure beam column welding joints, a concrete core shear wall root pouring area and a curtain wall top cantilever connecting end; welding acoustic emission frequency domain signals of beam-column joints, concrete vibration energy distribution waveforms of the root of the shear wall and dynamic load stress spectrums of the cantilever connecting ends are collected respectively, and a spatial heterogeneous original data set is generated; acquiring three-dimensional coordinates of positioning sensors on a steel structure beam column welding node, a concrete core shear wall root pouring area and a curtain wall top cantilever connecting end so as to construct a dynamic space reference frame, and calculating a deformation feature vector of the dynamic space reference frame; the deformation feature vector comprises a reference frame area change gradient value, a frame side vector fluctuation coefficient and a space included angle offset entropy value. According to the invention, the real-time performance of construction project quality monitoring is improved.

The invention provides a laser welding method for an unequal-thickness heterogeneous hot-formed steel joint by cooperatively regulating and controlling annular light spots and light beam deflection. The method comprises the following steps: firstly, pretreating, clamping and positioning the PHS1500 and PHS2000 unequal-thickness ultrahigh-strength steel plates; then, the deflection angle of the light beam is adjusted to be within the range of-30 degrees to + 30 degrees; and finally, a galvanometer control system is used for driving a laser beam to conduct swing scanning in a circular track, and welding is completed under the condition that parameters such as laser power, welding speed, swing frequency, the ratio of swing amplitude to core ring energy and the like are set. According to the method, wire filling is not needed, the PHS1500 and PHS2000 butt welding joints can be effectively connected within the light beam deflection angle range of-30 degrees to + 30 degrees, efficient connection can be achieved within the light beam deflection angle range of-20 degrees to + 20 degrees, weld joint forming is effectively improved, weld joint grains are refined, and the problems of stress concentration and welding softening areas caused by different thicknesses and different strengths of plates are solved. And within the light beam deflection angle range of-20 degrees to + 20 degrees, the obtained joint welding seam is well formed, the tensile strength can reach 1400 MPa or above, and the method is suitable for manufacturing the tailor-welded structure of the unequal-thickness plates of the automobile body.

The invention discloses a high-strength martensitic stainless steel welding method based on dual-laser collaborative oscillation scanning, which is used for welding two workpieces to be welded, at least one of the workpieces to be welded is high-strength martensitic stainless steel, and the method comprises the following steps: carrying out heat treatment on the high-strength martensitic stainless steel, the high-strength martensitic stainless steel comprises, by mass, 0.5% < = C < = 1.1%, 11.0% < = Cr < = 18.0%, 0.5% < = Mo < = 1.2%, 0.1% < = V < = 0.35%, 0.35% < = Mn < = 0.5%, 0.35% < = Si < = 0.45% and the balance Fe. Performing oscillation scanning welding on the two to-be-welded workpieces which are butted, mounted and fixed through first oscillation laser; and laser oscillation scanning in-situ heat treatment is carried out on a hardened area in the weld joint heat affected area through second oscillation laser. By means of the method, the defect problem that high-strength martensitic stainless steel is extremely prone to having welding cracks, hardened areas and the like due to high strength can be avoided, meanwhile, the welding process is simplified, the welding efficiency is improved, and the mechanical property is guaranteed.

The utility model provides an improved welding gun for a narrow space, which relates to the technical field of welding guns and comprises an adjusting mechanism, a receding mechanism is arranged on one side of the adjusting mechanism, the adjusting mechanism comprises a gun tail, a side plate is arranged at one end of the gun tail, and one end of the gun tail is fixedly connected with the rear end face of the side plate. The U-shaped plate slides on the gun tail when the lead screw is rotated, so that the overall length of the welding gun is increased, then the handle is held by hand to operate the welding gun, it is ensured that a welding rod can reach the farthest welding point in a limited operation space so as to adapt to different space limitations, and the flexibility of welding operation is improved; when the welding gun is used, the connecting frame is shifted on the rotary knob, so that the gun barrel is rotated, an operator is allowed to use the welding gun to operate in any direction where construction is difficult, and the adjustable angle of the welding gun enables the operator to conduct welding in various directions in narrow or complex space.

The invention relates to the technical field of metal material manufacturing, and discloses a manufacturing process of a super-strong wear-resistant tire protection chain, which comprises the following steps of: forming a chain link blank by adopting high-silicon high-manganese bainite steel through hot rolling and hot die forging; the core of the method is an integrated heat treatment step, specifically, surface functionalization co-permeation of copper and cerium elements is synchronously carried out in the austenitizing stage, then bainite isothermal quenching is carried out, and a composite structure of bainite and stable retained austenite is obtained in a matrix; the process further comprises the steps that a special high-toughness welding wire is adopted for welding, and local tempering treatment is conducted on a welding seam; by means of the scheme, the chain link is endowed with excellent obdurability and fatigue resistance through the phase transformation induced plasticity effect of the base body, the abrasion resistance is remarkably improved through the surface functionalization co-cementation layer, and the reliability of a joint area is ensured through accurate welding and postweld treatment. The technical problems that wear resistance and toughness of a traditional protection chain are difficult to consider at the same time, and a welding joint is prone to failure are systematically solved.