2921 results about "Weld zone" patented technology

The invention provides a circuit board welding fault identification method and system based on machine vision, and relates to the technical field of visual identification, and the method comprises the steps: obtaining an image of a circuit board welding region through employing a structured light projection system and a multi-camera imaging system; realizing accurate positioning of a defect region in the region of interest by utilizing three-dimensional shape information and through morphological operation and an edge detection algorithm; for the accurately positioned defect area, obtaining high-precision three-dimensional point cloud data of the defect area, extracting a multi-scale curvature feature descriptor, and fusing the multi-scale curvature feature descriptor with visual features to form a multi-feature descriptor; inputting the multi-feature descriptors into a defect classification and recognition module based on ensemble learning to obtain the types and severity of the welding defects; and according to a defect identification result, the three-dimensional space distribution and severity of the welding defects are visually displayed.

The invention discloses a defect repair method based on digital twinning and friction stir welding technologies, and relates to the technical field of intelligent manufacturing and digital twinning, and the defect repair method comprises the following steps: synchronously capturing full-dimensional data of a welding area through a multi-mode sensor array integrated by an actuator; secondly, segmenting defect boundaries by adopting a deep learning algorithm, constructing a dynamic twin model in combination with thermal-force field coupling simulation, and accurately mapping defect three-dimensional features; generating a repair track according to the twinborn model, converting the repair track into a robot joint instruction through a curved surface parameterization mapping algorithm, and implanting real-time anti-collision constraint; in the repairing process, based on reinforcement learning control of the material rheological resistance and the temperature gradient, the rotating speed, the advancing speed and the down force of the tool are dynamically adjusted; and after repairing, micro-focus CT scanning is started immediately, actually measured data is compared with twinborn prediction, and when the deviation exceeds a threshold value, a re-repairing process is triggered automatically. The method solves the problems that a traditional method depends on manual intervention and the precision of a sensor is easily interfered by the environment.

The invention discloses a dissimilar metal laser welding device based on swing light beams and molten pool state monitoring. The dissimilar metal laser welding device aims at improving the welding quality and the joint stability. The device comprises a laser welding head with a light beam swinging function, and the laser welding head can implement nonlinear energy scanning in a welding area according to a preset track type, frequency and amplitude; the acquisition module can synchronously acquire a visual image, an excitation spectrum and an infrared thermal imaging signal of the molten pool at a high frame rate, and extracts interface diffusion and metal mixing characteristics through multi-modal fusion; the calculation module performs dynamic feature modeling according to the collected physical feature information and the swing parameters, and quantifies multi-dimensional state indexes of the welding quality; the control module carries out combined adjustment on the laser power, the welding speed and the swing parameters according to the state indexes, closed-loop feedback control is constructed, and therefore real-time stable regulation and control and defect suppression in the dissimilar metal welding process are achieved.

The invention discloses a multi-mechanical-arm space-time synchronization control method for coiled pipe welding, and belongs to the technical field of automation control, and the method comprises the steps: in a primary laser and TIG hybrid welding execution stage, carrying out real-time data acquisition on a welding area of a workpiece, carrying out real-time deviation detection, and once real-time welding deviation is detected, carrying out time-space synchronization on the welding area of the workpiece; a local correction mechanism is triggered immediately, and deviation is prevented from being accumulated in the single welding process; after one-time welding is completed, the workpiece enters a transition area, global contour reconstruction is conducted on a welded section of the workpiece through three-dimensional scanning equipment, global deviation recognition is conducted, and unprocessed hysteresis deformation and accumulative errors are covered and corrected in real time; on the basis of the analysis result of the global deviation recognition, double correction is conducted on secondary welding, and cooperative control over space track correction and technological parameter adaptation is achieved; and after secondary welding is completed, the correction effect is evaluated through a double-layer evaluation mechanism, and the stability of the correction process is ensured.

The embodiment of the invention relates to the photovoltaic field, and provides a main-grid-free back contact battery and a photovoltaic module, and the main-grid-free back contact battery comprises a battery substrate which is provided with a first welding region and a second welding region which are alternately arranged along a first direction, two edge regions which are opposite along a second direction, and a central region located between the two edge regions; the first fine grid and the second fine grid are positioned on the battery substrate and are alternately arranged along a second direction; the bonding pads are located in the edge area, and each bonding pad is at least in contact connection with two adjacent homopolar fine grids; the welding spots are located in the central area, each welding spot is in contact connection with each same-polarity fine grid, and M same-polarity fine grids are arranged between the bonding pads and the welding spots which are adjacent in the second direction; the connecting line is in contact connection with the bonding pad and is also in contact connection with at least one welding spot close to the bonding pad along the second direction; the welding area is a first welding area and the same-polarity fine grid is a first fine grid, and / or the welding area is a second welding area and the same-polarity fine grid is a second fine grid, so that the photoelectric conversion efficiency of the main-grid-free back contact battery is at least improved.

The invention relates to the technical field of welding quality evaluation, in particular to a carbon steel pipe welding quality evaluation system which comprises a welding area three-dimensional scanning module, a welding seam dynamic grid generation module, a welding form change analysis module, a welding seam structure diagram construction module, a welding seam quality diagram convolutional network module and a welding defect intelligent recognition module. According to the invention, through real-time adjustment of the dynamic grid generation module, tiny changes of the geometric shape of the welding seam can be captured, new dimensions are provided for welding quality evaluation through generation of welding form characteristic data and construction of the welding seam structure diagram, and the introduction of the welding seam quality diagram convolution network module can improve the accuracy of welding quality evaluation. Node relations and structural features in a weld joint diagram structure are analyzed through a deep learning technology, an intelligent means is provided for welding quality evaluation, an intelligent welding defect identification module optimizes an identification process, various welding defects can be accurately classified, and a powerful technical support is provided for guarantee of welding quality.

The invention relates to the technical field of electronic packaging, in particular to a welding process applied to a double-mesa device. The technology comprises the following steps that firstly, a heat conduction model of a double-table-board device is built, a temperature field prediction system is built in combination with measured data, secondly, an asymmetric double-pulse-current welding strategy is adopted, differential pulse waveforms are loaded to an upper table board and a lower table board respectively, independent temperature control over all welding areas is achieved, a temperature difference closed-loop feedback mechanism is introduced in the process, and the temperature field prediction system is obtained. Pulse parameters are dynamically adjusted according to real-time temperature deviation, a stress prediction and weld penetration monitoring module is used for assistance, the welding spot forming quality and heat stress balanced release are ensured, a staged annealing type cooling mode is adopted after welding, and the structural stability is improved. The method can be widely applied to MEMS modules, SiC power devices and heterogeneous chip laminated packaging double-mesa structure devices, and has the advantages of being high in welding precision, high in reliability and wide in process adaptability.

The invention relates to a welding track control method, device and equipment and a storage medium, and the method comprises the following steps: carrying out imaging scanning and welding contour extraction on the surface of a to-be-welded workpiece through a multispectral camera to obtain a welding contour feature sequence; based on the welding contour feature sequence, deep reconstruction is conducted on a welding area of a to-be-welded workpiece, welding three-dimensional point cloud data are obtained, and a welding track space curve is extracted from the welding three-dimensional point cloud data; track segmentation planning is conducted on a preset welding gun on the basis of the welding track space curve, and a segmented motion track sequence is obtained; based on the segmented motion trail sequence, pose mapping is conducted on an end effector of the welding gun, and a joint space motion sequence is obtained; and on the basis of the joint space motion sequence, the welding gun is controlled to conduct welding operation on the surface of the welding workpiece, and the technical problem of precise motion control of the robot welding gun under the complex space posture is solved.

The invention discloses a vacuum cup laser welding device, and belongs to the technical field of laser welding, the vacuum cup laser welding device comprises a processing table, the top of the processing table is connected with a base box, and the top of the base box is provided with a synchronous clamping assembly. According to the device, the air curtain assembly is arranged, a continuous and uniform annular laminar flow air curtain is formed by means of the nozzle array evenly distributed in the circumferential direction, a stable inert gas protection environment is formed in a welding area, the oxidation probability of a molten pool is remarkably reduced, meanwhile, the air curtain structure optimally designed through fluid dynamics can effectively disperse welding smoke dust, and the welding quality is improved. By means of a mechanical structure, the angle of the direction adjusting pipe can be accurately adjusted, the coverage range of the air curtain can be flexibly adjusted, accordingly, the vacuum cup body with different specifications can be adapted, possible protection blind areas are eliminated, and the service life of the vacuum cup body is prolonged. And the optimal action angle between the welding protection airflow and the workpiece surface is always kept.

The invention discloses a Busbar welding seam segmentation method and system based on improved YOLOv11, and the method comprises the steps: constructing a Busbar welding seam segmentation model which takes a YOLOv11 model as a reference network, and comprises a backbone network, a neck network, a head network and mask branches; an LSKA module is embedded after each down-sampling stage of the backbone network of the YOLOv11 model; a CIoU loss function in the training process of the YOLOv11 model is replaced by a Focaler-IoU loss function; the LSKA module is used for enhancing the feature sensing ability of the model to a welding seam global structure and a pole small target by linear calculation complexity through a decomposable large kernel convolution structure; and collecting an image of a Busbar welding area, inputting the image into the trained Busbar welding seam segmentation model, and outputting binary masks of the welding seam and the pole. According to the method and the system, feature attention to the welding seam and the pole column area is enhanced, feature extraction of the welding seam area is enhanced, it is ensured that the mask boundary is clear, and wrong segmentation is reduced.

The invention relates to the technical field of laser welding, and discloses a laser machining device and method for a nuclear reactor shell, and the method comprises the steps that a shell plate welding area to be welded is subjected to surface modification pretreatment; the laser processing device is used for carrying out initial welding on the pretreated shell plate, in the initial welding process, the temperature sensing assembly is used for monitoring temperature distribution of the welding area in real time, and temperature information of the welding area is obtained; the temperature information is input into a preset temperature-deformation prediction model for prediction of a variable trend and a stress distribution condition so as to obtain a first prediction result; based on the obtained first prediction result, the welding parameters of the laser processing device are dynamically adjusted for the first time; welding deformation and stress concentration are effectively coped with, the welding quality and structural strength of the nuclear reactor shell after laser welding are improved, and the reliability and safety of the nuclear reactor shell during use are effectively improved.

The invention provides a steel structure welding quality detection method and a storage medium, and the method comprises the steps: generating a composite image # imgabs1 # marked with the type and position of a welding defect based on an unmarked real welding region image # imgabs0 # of a steel structure; the real steel structure welding image # imgabs2 # and the composite image # imgabs3 # marked with the welding defect type and position are combined into a steel structure welding image set # imgabs4 #; performing datamation processing on the steel structure welding image set # imgabs5 # to generate a deformable grid # imgabs6 # matched with the type of the welding defect and a preprocessing image set # imgabs7 #; and inputting the preprocessed image set # imgabs8 # into a pre-trained building engineering steel structure welding defect detection model so as to output welding defect characteristics of a welding seam area. The steel structure welding quality detection method is small in data dependence, high in welding defect recognition robustness and high in intelligent degree, and the intelligent level of constructional engineering steel structure welding quality detection can be improved.

The invention discloses a stainless steel laser welding parameter optimization method based on a dynamic annular scanning path. The stainless steel laser welding parameter optimization method comprises the steps that S1, welding parameter setting is initialized to be suitable for controlling welding heat distribution; s2, measuring the material thickness of the welding area of the stainless steel workpiece before welding; s3, the scanning path layer number and the progressive speed are determined according to the welding parameters; s4, the welding control system adjusts welding parameters according to the temperature monitoring data; s5, the laser welding control system adjusts the layer number, the progressive speed and the scanning path radius of the dynamic annular scanning path in real time; s6, the scanning amplitude, the scanning frequency and the welding speed are optimized in real time; and S7, after welding is completed, quality detection is conducted on a welding seam, and detection data are compared with a preset welding quality standard. According to the method, accurate control over welding heat input, remarkable improvement of the welding seam quality and comprehensive optimization of the welding efficiency are achieved.

The invention relates to the technical field of welding devices, and discloses a welding device and method for metal steel structure machining, the welding device comprises a supporting table, a supporting frame is fixedly connected to the top of the supporting table, and a welding machine is arranged at the bottom of the supporting frame; the welding device comprises a supporting table, a clamping device is arranged at the top of the supporting table, a protective device is arranged at the top of the clamping device, and a collecting device is arranged at the bottom of the supporting table. And meanwhile, a third spring moves to drive a clamping plate to move, so that secondary clamping can be conducted on the side face of the welding part, the clamping effect is further enhanced, the stability of the welding part in the welding process is improved, and deviation of the welding position is avoided.

According to the intelligent radiator welding method and system based on welding residual stress control, temperature field data of a welding area are obtained through a sensor array, a temperature gradient mapping image is generated, residual stress distribution is determined through heat-structure coupling finite element analysis, and a thermal expansion coefficient and a welding speed parameter are extracted; when the deviation exceeds a deviation threshold value, the heat input power and the welding speed are adjusted, parameter combination is optimized, heat input distribution is redistributed, new temperature field distribution is generated by adopting a power segmentation adjustment algorithm, residual stress relief data are extracted, and if the stress reduction rate is insufficient, the welding speed is adjusted; if yes, cooling parameters are adjusted for thermal stress release, through finite element iteration fed back in real time, a process correction scheme is generated, full-process simulation verification is conducted, and the fatigue life and the thermal conductivity index are obtained. Accurate control over the residual stress in the welding process is achieved, and the intelligent welding quality and the structural stability are improved.

The invention belongs to the technical field of computer-aided manufacturing, and relates to a method and system for predicting the propagation rate of fatigue cracks across welding zones in electric arc additive remanufacturing, and the method comprises the following steps: S1, manufacturing a sample; s2, performing in-situ SEM fatigue test on the sample; s3, obtaining a corresponding relation between the crack growth rate and the stress intensity factor range of the sample; s4, fitting to obtain a fatigue crack propagation rate model of the sample; s5, establishing a CZH sample fatigue crack growth rate prediction model; and S6, predicting the fatigue crack propagation rate of the sample across the welding zone. The system further comprises an electric hydraulic fatigue test system, a data acquisition module, a database, a fitting module and a prediction module. According to the method, by using the correction coefficient, the fatigue crack growth rate is predicted by using the fatigue crack growth rate parameter of the matrix material area.

The invention relates to the field of welding control, in particular to an automatic production line control system and method.The method comprises the steps that temperature distribution of a welding area is obtained, a temperature heat map is generated, and an isotherm set is extracted; and calculating a temperature abnormal value based on the curvature change of the pixel points on the isotherm, and performing weighted summation by taking the distance from the welding spot to the isotherm as a weight to obtain a comprehensive abnormal value. Meanwhile, intersection point distance sequences of the welding spots and the isotherm in different directions are obtained, the uniformity of isotherm intervals is analyzed, the distance sequence similarity mean value of the variable coefficient and the adjacent direction is calculated, and a temperature gradient abnormal value is constructed. And finally, the product of the curvature abnormal value and the comprehensive abnormal value is processed through an activation function to obtain an abnormal degree value, the abnormal degree value is compared with a preset threshold value, whether the welding area is abnormal or not is judged, welding operation is adjusted according to the abnormal degree value, and therefore the welding process is optimized, and the welding quality and the production efficiency are improved.

The invention discloses a vision-based weld defect detection method and system, and relates to the technical field of weld defect detection, and the method comprises the steps: adjusting welding parameters when scene environment data in a welding region is monitored and obtained to be inconsistent with expectation; after heat distribution data of the welding part is collected, a distribution abnormal value is generated, whether the distribution abnormal value exceeds the expectation or not is judged, if yes, welding defects of the welding part are predicted, and welding process parameters are optimized according to predicted data; after surface defect data of the welding part are recognized and obtained, internal defects of the welding part are detected, and simulation test data are obtained after the performance of the welding part is tested; and taking the surface defect data, the internal defect data and the simulation test data as feedback, and giving a corresponding process optimization scheme through the welding process optimization knowledge graph. The current welding defect is subjected to preliminary defect detection, the detection result can be quickly obtained, and whether the welding position has the welding defect at present or not is verified.

The invention relates to the field of welding technology and finite element analysis, and particularly discloses a welding simulation method and system based on sub-field modeling. According to the system, the welding area is divided into a plurality of sub-fields, so that the simulation precision and efficiency are improved. The system comprises four main parts: gridding, heat source setting, thermal analysis and structural analysis. And the gridding module realizes fine grid division of the complex geometry by utilizing a sub-field technology and combining isotherm information. The heat source setting module accurately defines heat input conditions in the sub-fields according to welding process requirements. The thermal analysis module simulates the change of a temperature field in the welding process and provides detailed sub-field temperature distribution data. And the structural analysis module analyzes stress and deformation caused by welding based on the thermal analysis result, and particularly focuses on stress transfer and deformation behaviors among the sub-fields. According to the whole system, the welding simulation precision is greatly improved, manual intervention is reduced, and powerful technical support is provided for optimization of a complex welding process.

The invention discloses an automatic suction removal method, device and equipment for welding smoke and a medium, and relates to the technical field of machine learning. Linear interpolation and capacity expansion are conducted on a temperature matrix of a welding area; inputting the interpolated and expanded temperature matrix into a decision tree model, outputting predicted position information of the smoke source, and calculating spatial position coordinates; converting the point cloud data of the welding area into a grey-scale map, fusing the grey-scale map and the interpolated and expanded temperature matrix data to obtain a temperature space distribution matrix, inputting the temperature space distribution matrix into a first convolutional neural network, and outputting obstacle avoidance point cloud data; calculating parameters of the obstacle avoidance area, inputting the parameters, the spatial position coordinates and the initial joint rotation angle of the actuator into a second convolutional neural network, and outputting a target joint rotation angle; therefore, the welding smoke in the welding area can be automatically sucked by the actuator, the sucking efficiency is improved, the smoke concentration in the welding working area is reduced, the conflict condition of the smoke sucking disc working area is avoided, and the interference to the welding work and the sucking leakage rate are reduced.

The invention belongs to the technical field of photovoltaic module machining, and discloses novel photovoltaic module welding and machining integrated equipment which comprises a workbench, a welding structure and a limiting structure are installed at the top end of the workbench, and a cleaning assembly is arranged on one side of the limiting structure; the cleaning assembly comprises a cleaning plate arranged on one side of the limiting structure, a brush plate is installed in the cleaning plate through a rotating assembly, bristles are evenly installed at the bottom end of the brush plate, and before welding of the photovoltaic module, the photovoltaic module is limited and fixed through the limiting structure, then a motor is started, and a movable base moves at the top end of the workbench; meanwhile, the brush plate and the brush bristles are driven to move, so that the brush bristles clean the welding area of the photovoltaic module, and the situation that the surface of the photovoltaic module is contaminated with various pollutants in the production and transportation stages, the pollutants easily cause the defects such as air holes and slag inclusion in the welding link, and consequently the welding quality is affected is avoided; and the welding quality can be improved by cleaning the welding area.

The invention relates to the technical field of electric power construction, in particular to an auxiliary welding mechanism for electric power construction, which comprises a worktable, a mounting frame is mounted at the top end of the worktable, an air cylinder A is mounted at the top end of the mounting frame, a welding head is mounted at the output end of the air cylinder A, and a shell is arranged at the top end of the worktable. Negative pressure is generated through the suction pump, the smoke dust is efficiently collected into the collecting box through the air suction head, purified air forms an air curtain, diffusion of the smoke dust and welding slag is blocked, air is purified, a welding area is isolated, the suction force of the suction pump can further be used for driving the vibration mechanism, and therefore the smoke dust can be effectively collected. In addition, heat conduction of the welding head enables gas of the gas storage pipe to expand, suction force of the gas suction pipe and frequency of the vibration rod are automatically adjusted, welding quality and efficiency are improved, and frequent manual parameter adjustment is not needed.

The present invention relates to the technical field of square iron welding of a moving iron unit, and specifically provides a moving iron unit square iron welding processing equipment, including a frame, a welding area and an assembly area on the frame, and an assembly robot arm is provided in the assembly area, which can realize the function of automatic assembly, greatly save manpower, and improve welding efficiency. A conveyor belt is also provided on the frame, and a plurality of horizontal plates are placed on the conveyor belt. A positioning frame is rotatably provided on the horizontal plate, and the square iron includes two end iron sheets and a plurality of middle iron sheets. Rectangular grooves are provided on the end surfaces of the end iron sheets and the middle iron sheets, and rectangular welding wires are filled in the rectangular grooves. The welding wires are melted by heating, and then the end iron sheets and the middle iron sheets can be connected, thereby completing the welding of the end iron sheets and the middle iron sheets, and the end iron sheets and the middle iron sheets rotate during the welding process so that they can be heated evenly, avoiding the deformation of the square iron and affecting the removal of the square iron.

The invention relates to the field of welding pressure control, in particular to a friction stir welding pressure control method, system and equipment and a storage medium. A three-axis acceleration sensor is used for monitoring the vibration acceleration of a main shaft to start a pressure compensation algorithm, a thermal infrared imager is used for collecting temperature field distribution of a welding area to dynamically correct welding pressure, and after welding is completed, control parameters are reversely optimized through ultrasonic flaw detection to form a self-learning control loop. The invention further comprises a corresponding control system, electronic equipment and a computer readable storage medium. The technical effects that the friction stir welding pressure is accurately controlled, the pressure can be adjusted in real time according to factors such as material characteristics, vibration and temperature, the welding process is optimized, the welding seam quality is improved, and the control parameters are continuously improved through self-learning are achieved.

The invention provides a multi-sensor fusion welding temperature monitoring method and a related device, and the method comprises the steps: dividing a welding region into a plurality of sub-regions according to the spatial distribution of the welding region, and obtaining the initial temperature data corresponding to each sub-region according to various temperature sensors; performing time alignment on the initial temperature data through difference resampling of different sampling points to generate a time sequence temperature matrix; performing real-time quality detection on the time sequence temperature matrix to generate a real-time quality score, and performing weighted combination on the real-time quality score and a preset confidence coefficient parameter table to obtain a dynamic confidence coefficient result set; fusing the effective temperature data exceeding a preset confidence threshold in the dynamic confidence result set according to a fusion rule corresponding to each sub-region to obtain a fused temperature result; and the fusion temperature results of the sub-regions are subjected to time sequence splicing to obtain a global temperature curve of the welding process, so that the accuracy of temperature detection in the welding process can be effectively improved.

The utility model provides an adapter piece structure, cell structure and energy storage big battery, adapter piece structure includes tab connecting part and post connecting part, tab connecting part is used for connecting with the tab of cell, post connecting part is connected with tab connecting part, post connecting part has first side, first side has the cleaning area that is used for the cleaning treatment, the first side has the cleaning area that is used for the cleaning treatment, the second side has the cleaning area that is used for the cleaning treatment. The cleaning area comprises a welding area and an annular area surrounding the periphery of the welding area, and the welding area is used for welding and fixing the pole connecting part and the pole of the cover plate, so that the welding area is ensured to be in a clean state before welding, the influence of impurities, oxides and the like on the welding quality is avoided, and the welding strength and reliability are improved; due to the existence of the annular area surrounding the welding area, external pollutants can be prevented from invading the welding area in the welding or connecting process, so that the purity and the stability of connection are improved, and high-quality welding of the pole connecting part and the pole can be ensured.

The invention provides a welding quality detection method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of obtaining multi-source data collected for a welding area in the welding process, wherein the multi-source data comprises data collected by different types of sensors; inputting the multi-source data into a pre-trained welding quality detection model to obtain probabilities of a plurality of welding defect categories; under the condition that the maximum probability exceeds a probability threshold value, it is determined that the welding quality detection result of the welding area is abnormal welding quality, and the welding defect type corresponding to the maximum probability serves as the defect type of the welding area; and determining a defect position corresponding to the defect type through bounding box regression or feature map coordinate mapping. Multi-source data are analyzed through artificial intelligence, the welding quality can be rapidly and accurately recognized in real time, the welding quality can be improved, and then the production cost and the product reject ratio are reduced to meet the large-scale and high-precision production requirements.

The invention provides an automobile dashboard cross beam support strength detection device, which comprises a smearing assembly and a driving mechanism, the smearing assembly comprises a smearing shell, the smearing shell is used for accommodating a coupling agent and smearing the coupling agent on a cross beam support, the smearing shell is internally provided with a first chamber, a second chamber and a third chamber, the volumes of which can be adjusted, and the driving mechanism is used for driving the first chamber, the second chamber and the third chamber to rotate; the volume of the cavities and the liquid outlet amount of the coupling agent are in positive correlation, and the first cavity, the second cavity and the third cavity correspond to an upstream area, a middle flow area and a downstream area of the welding area in sequence. And when the area, attached to the welding machine, of the smearing shell inclines, the driving mechanism enables the volumes of the second cavity, the first cavity and the third cavity to be sequentially reduced according to the inclination angle of the welding area. Therefore, the interior of the smearing shell is arranged to be the cavity with the adjustable volume, so that the coupling agent in each area of the welding area can be uniformly distributed, and stable transmission of ultrasonic detection signals is ensured.

The invention discloses a welding process visual real-time monitoring system and method based on a DMD technology, and belongs to the field of welding monitoring, and the system comprises a visual collection module which is used for collecting an image of a welding area in real time; the DMD light supplementing control module is used for dynamically adjusting the light projected to the welding area according to the collected image; the image processing and analyzing module is used for preprocessing the collected image and extracting and analyzing the characteristics of the welding area; the welding process control and planning module is used for extracting a 3D contour of a welding area and planning welding process parameters according to the spatial structure light form change projected by the DMD light supplementing control module; and the control and feedback module is used for adjusting welding parameters in real time according to an analysis result of the image processing and analyzing module and giving an alarm when an abnormality is detected. Light supplement is accurately controlled through the DMD technology, the overexposure phenomenon caused by welding hard light is effectively restrained, a camera can clearly collect detailed information of a welding area, and the welding detection accuracy is improved.

The invention provides a strengthening and toughening control method for a high-strength titanium alloy welded joint, and relates to the technical field of metal material welding, the strengthening and toughening control method comprises the following steps: S1, during welding, multi-layer and multi-channel gradient heat input is adopted, the heat input quantity of front-channel welding is Q1, the heat input quantity of rear-channel welding is Q2, and Q1 is greater than Q2; s2, after welding, cooling a welding area by stages, adopting inert gas forced convection cooling in a primary cooling stage, adopting water mist pulse cooling when the welding area is cooled to a medium temperature stage, and adopting natural air cooling when the welding area is cooled to a low temperature stage; through the synergistic effect of multi-layer multi-channel gradient heat input and staged cooling, the microstructure and performance of the high-strength titanium alloy welded joint can be effectively regulated and controlled, the structure gradient regulation and control of the titanium alloy welded joint are achieved, the tensile strength, the ductility, the fracture toughness and the creep property of the welded joint are improved, meanwhile, the process can be simplified, and deformation is reduced.