12670results about "Welding apparatus" patented technology

The invention discloses a PCBA circuit board welding spot detection method based on multi-modal data fusion, and relates to the technical field of electronic manufacturing quality detection.The PCBA circuit board welding spot detection method comprises the steps that a distributed sensing network is constructed, multi-modal data are collected, welding spot information is obtained in an omnibearing mode, and time-space alignment of the multi-modal data is carried out; performing feature extraction on the multi-modal data, dynamically weighting each modal feature through an attention mechanism, and highlighting key defect characterization; a welding spot spatial topological graph is constructed by using a graph neural network, and a spatial relationship between welding spots is modeled. By integrating optical, X-Ray, thermal, mechanics, electricity and other multi-dimensional data, the information limitation of single-mode detection is broken through, the complementation of different mode data is utilized, the attention mechanism is combined to dynamically weight each mode feature, the complex defect is accurately identified, the graph neural network is utilized to model the welding spot space topological relation, the associated defect is further captured, and the defect detection accuracy is improved. And the defect classification accuracy is improved.

The invention relates to the technical field of welding processing, and discloses a dissimilar metal welding joint temperature field optimization control method and system. Real-time temperature field scanning is conducted on the dissimilar metal welded joint, image segmentation processing is conducted on a temperature field image obtained through scanning, temperature data of a weld joint area, a heat affected area and a base metal area are extracted, and whether the temperature gradient exceeds a preset threshold value or not is judged; aiming at an area with non-uniform distribution of heat input quantity, analyzing the performance of the welding joint under the combined action of thermal stress and mechanical stress, obtaining the difference between residual stress distribution and plastic deformation capacity, and analyzing a stress concentration area by combining with the yield strength of the material; and a mapping relation between the welding process parameters and temperature field distribution is established, and a welding process parameter adjustment prediction model is obtained through historical welding process parameters and corresponding temperature field data training in combination with heat flux density distribution. The problems of uneven heat input, stress concentration and the like in dissimilar metal welding are effectively solved, and the welding quality and efficiency are improved.

The invention relates to a welding quality detection system which comprises a process monitoring layer configured with a multi-mode sensor array and used for collecting original performance data in the welding process in real time; the intelligent analysis layer is provided with a multi-source data fusion module and a defect prediction module, and the multi-source data fusion module adopts an improved D-S evidence theory algorithm to perform fusion processing on the original performance data collected by the process monitoring layer to obtain multi-dimensional performance data; the defect prediction module analyzes and captures abnormal data according to the multi-dimensional performance data, dynamically predicts a defect development trend and outputs defect prediction information; the decision execution layer is provided with a self-adaptive control module and is used for dynamically adjusting welding process parameters according to the defect prediction information output by the intelligent analysis layer; and the data communication bus is used for realizing real-time data interaction and closed-loop feedback control among the process monitoring layer, the intelligent analysis layer and the decision execution layer. The method has the effect of effectively improving the detection precision and the detection efficiency.

The invention provides an intelligent high-performance collaborative welding robot system, which belongs to the technical field of welding robots and comprises a multi-degree-of-freedom welding robot body, an intelligent control system, a high-performance welding power supply and auxiliary equipment. A welding process control module firstly obtains three-dimensional information of a workpiece based on visual inspection to construct a welding path; then selecting matched process parameters according to material characteristics and welding seam shapes; establishing a welding error matrix to monitor the welding process in real time; constructing a parameter error adjustment matrix for dynamic adjustment; analyzing parameter fluctuation by adopting a neural network to identify molten pool characteristics; the pre-trained neural network is used for evaluating the welding seam quality; and finally, a multi-robot collaborative welding strategy is integrated to achieve efficient operation, and the technical problem that in the prior art, welding process parameters in a welding robot are difficult to adjust accurately in real time so as to adapt to complex working condition changes is solved.

The invention provides an aluminum alloy auxiliary frame welding accurate positioning and quality control method and system. The method comprises the steps that S4, welding gun track control parameters are updated through a dynamic adjustment instruction, laser tracking data are fused to optimize the welding path angle in real time, and the accurate movement track of each section of welding seam is determined; s5, acquiring real-time thermal expansion data during welding execution, monitoring temperature field distribution of a welding seam area by adopting an optical measurement technology, and judging whether thermal deformation adjustment exceeds a preset threshold value or not; s7, micron-sized welding spot positioning operation is executed according to the stable positioning state, the dynamic path optimization result is fused to generate a final welding instruction, and consistent welding seam quality data is output; and S8, after weld joint quality data are obtained, weld joint deviation and geometric consistency are detected through a laser tracking technology, whether welding quality meets design requirements or not is judged, and a quality verification report is generated. According to the method, the precision and consistency of intelligent welding of the aluminum alloy auxiliary frame are remarkably improved.

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 invention provides a thermal deformation intelligent compensation and control method and system in a metal part welding process, and relates to the technical field of metal welding, and the thermal deformation intelligent compensation and control method comprises the following steps: obtaining a three-dimensional model and process parameters, constructing a thermal-mechanical coupling analysis model, and collecting real-time temperature and strain data; thermal deformation is predicted through a dynamic hierarchical graph structure and a bidirectional propagation neural network, optimal welding process parameters are calculated through a recursive optimizer integrating a gradient strategy and an evolution strategy based on thermal deformation deviation, accurate prediction and intelligent compensation of thermal deformation in the welding process can be achieved, and the welding quality and precision are improved.

The invention provides a dissimilar material crystallization welding control method based on microwave energy distribution, which comprises the following steps: acquiring a high-density temperature map of a to-be-welded workpiece through a fiber grating array, and acquiring a real-time temperature value from a dissimilar material interface edge to a central area of the to-be-welded workpiece to obtain initial temperature distribution; calculating a temperature difference value between the edge and the central area, identifying a local overheat point position by comparing a temperature gradient or setting a temperature difference threshold value, and comparing the overheat point temperature with a preset material overheat threshold value to judge whether an overheat area exists or not; if the temperature difference value exceeds a temperature difference threshold value or a local overheating area exists, extracting space coordinates of a low-temperature area and a high-temperature area from the high-density temperature map, and identifying an energy distribution target area needing to be adjusted; and extracting temperature distribution from the updated energy distribution diagram, analyzing a temperature gradient to identify a heating power concentration region, and calculating to obtain a target stress distribution state in combination with the heating power concentration region.

The invention relates to the field of image processing, in particular to a welding quality comprehensive evaluation method and system, and the method comprises the steps: obtaining an ultrasonic image of a welding joint, carrying out the contour detection, and extracting a defect region of the welding joint; gradient features and gray features of pixel points in the defect area are calculated, feature vectors of target pixel points in the defect area are constructed, and the feature vectors serve as the expression degree of the defect area; edge information of the defect area is obtained so as to determine defect types, the defect types comprise cracks and bubbles, the shape and size of a window are set according to the defect types, bilateral filtering processing is carried out, defect information is extracted, and comprehensive evaluation is carried out on the welding quality. According to the method, the appropriate window shape and size are selected according to the defect type, the detail information of the defect is effectively reserved, the definition of the ultrasonic image is remarkably enhanced through the self-adaptive filtering strategy, and therefore the welding quality is better evaluated.

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 provides an array detection and positioning method combined with multi-welding-head battery welding, which comprises the following steps: monitoring the distribution of a welding head temperature field in real time by adopting an infrared thermal imaging technology, judging whether the welding head temperature field deviates or not by combining a preset temperature threshold value, and judging that the welding head temperature field deviates if detecting that the temperature of a certain welding head exceeds a threshold value range; according to the offset of the welding position, motion control parameters of the digital welding system are adjusted in a self-adaptive mode, and the offset error of a welding head is compensated in real time through a closed-loop feedback control algorithm; the welding spot quality online monitoring technology is adopted, the welding spot fusion depth and the welding spot diameter are extracted, whether the welding spot quality is qualified or not is judged in real time in combination with a pre-established welding spot quality evaluation model, and if the quality of a plurality of continuous welding spots is not qualified, it is judged that the welding spot quality is affected by welding head temperature field deviation.

The invention relates to the technical field of pressure steel pipe stiffening ring welding, in particular to a hydraulic engineering pressure steel pipe stiffening ring welding machine which comprises two fixed bottom plates arranged in parallel and a sliding bottom plate installed between the two fixed bottom plates in a sliding mode. The upper portion of the right side of the sliding bottom plate is connected with a first adjusting seat through a hydraulic cylinder, and two clamping assemblies used for clamping the inner walls of the two ends of the pressure steel pipe are installed on the outer side of the supporting column at equal intervals. A first clamping mechanism used for clamping the outer side of one end of the pressure steel pipe is fixed to the outer side of the right end of the supporting column, and the supporting column is arranged over the sliding bottom plate. Supporting roller assemblies used for lifting and limiting the lower portion of the pressure steel pipe are symmetrically installed above the sliding bottom plate. According to the hydraulic engineering pressure steel pipe stiffening ring welding machine, a pressure steel pipe can be horizontally moved to adjust the welding position only by pushing the sliding bottom plate, the pressure steel pipe does not need to be separated from the supporting roller assemblies, operation is convenient, and time and labor are saved.

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 discloses an intelligent welding method for machine tool manufacturing, which comprises a multi-sensor fusion module, a welding quality real-time evaluation module, a dynamic path planning module, a self-adaptive parameter adjustment module and a human-computer interaction interface, and the multi-sensor fusion module comprises a visual sensor, a laser ranging sensor and a temperature sensor; the welding quality real-time evaluation module is connected with the dynamic path planning module, the multi-sensor fusion module is integrated into a unified data set based on a defect detection algorithm of deep learning, and the dynamic path planning module is combined with 3D visual scanning to produce three-dimensional point cloud data of a workpiece. The dynamic path planning module generates a welding path through an ant colony optimization algorithm, the adaptive parameter adjustment module adjusts the welding state in combination with data collected by the multi-sensor fusion module, and the training process of the anomaly detection model is optimized in combination with the adaptive learning rate and the regularization technology. And the mechanical welding gun is adjusted and controlled through the human-computer interaction interface.

The invention relates to the technical field of artificial intelligence welding, and discloses an automatic welding robot based on artificial intelligence and a welding system thereof. The system comprises a welding feature acquisition module, a process parameter generation module, a real-time regulation and control module and a motion planning module. The welding characteristic acquisition module is used for acquiring three-dimensional contour data, material component information and welding seam geometric parameters of a workpiece to be welded, and generating a welding characteristic spectrum through characteristic fusion; a process parameter generation module retrieves a matching template from a welding knowledge base according to the parameters, and outputs a reference welding process parameter combination in combination with an environment temperature and humidity compensation coefficient; the real-time regulation and control module dynamically corrects the reference parameters to generate an optimization instruction according to the molten pool form, thermal radiation distribution and electric arc voiceprint characteristics in the welding process; and the motion planning module calculates a motion track, attitude parameters and a speed curve of the welding execution mechanism according to the optimization instruction to form a robot control instruction set. The system can improve the intelligent level of welding, guarantees stable welding quality, and is suitable for welding scenes of multiple manufacturing industries.

The invention discloses a welding device and method for metal corrugated pipe production, and relates to the technical field of metal pipe production. A sliding rail is arranged at the top of the base, a collecting box is arranged on one side of the back of the sliding rail, two linkage plates are symmetrically arranged in the sliding rail, an L-shaped plate is arranged at the edge of the top of the base, an annular rail is arranged on the side, close to the axis of the base, of the L-shaped plate, and a welding assembly is arranged in the annular rail. Two deviation prevention devices are symmetrically arranged on the top of the base, and anti-falling devices are arranged on the inner sides of the deviation prevention devices. By means of the inclined plate and the round roller, it is guaranteed that a pipe entering the limiting ring is located in the center of the interior of the limiting ring all the time, the phenomenon of slight deviation in the pipe alignment process is avoided, and workers need to observe the deviated direction with the naked eyes so that manual adjustment can be conducted; and the alignment accuracy between the two pipes is effectively improved, and the welding preparation time is shortened.

The invention discloses a mechanical arm welding detection intelligent diagnosis method and system based on laser ultrasonic guided waves. According to the system, a high-precision multi-degree-of-freedom steering engine, an infrared distance measurement array, a temperature sensor, a laser vibration exciter and a laser vibration meter are integrated at the tail end of a mechanical arm, synchronous operation of welding and online detection is achieved by presetting a welding track, and the system collects an excitation signal, a reflection ultrasonic signal and temperature data through a high-speed data collection card; and the signal is preprocessed through a temperature matching model, phase compensation and baseline correction. Then, wavelet decomposition is adopted to extract time-frequency features, intelligent diagnosis is achieved through a pre-trained one-dimensional convolutional neural network, a dynamic threshold value is set based on the 3 sigma criterion, and recheck feedback is automatically triggered when detection data exceed the limit, the welding detection efficiency and precision are remarkably improved through the scheme, data closed-loop management and intelligent quality tracing are achieved, and the reliability of welding detection is improved. And the automatic production requirement of modern steel structure manufacturing is met.

The utility model relates to the technical field of hydraulic pipe welding, and discloses a pipeline welding device with a positioning structure, which comprises a base, an annular frame is fixedly mounted on the upper surface of the base, a sliding block is slidably connected to the inner wall of the annular frame, a welding gun is fixedly mounted at the top of the sliding block, and the positioning structure is fixedly mounted on the welding gun. According to the pipeline welding device with the positioning structure, six sets of clamping jaws can synchronously rotate and get away from one another by pushing a lantern ring to be matched with a connecting rod, at the moment, a hydraulic pipe can be placed among the six sets of clamping jaws, and then the lantern ring is loosened to be matched with a spring and the connecting rod to enable the six sets of clamping jaws to synchronously rotate and get close to one another; and meanwhile, the hydraulic pipe can be clamped through cooperation with the rubber block, so that positioning of the hydraulic pipe is completed, through the clamping mode of the lantern ring, the connecting rod, the clamping jaw and the rubber block, the pipeline can be rapidly positioned, and the hydraulic pipe clamp can be suitable for hydraulic pipes with different pipe diameters and is more convenient to use.

The invention discloses an automatic welding system based on steel structure connection, and relates to the technical field of welding. The welding manipulator is arranged on the rack; two clamping mechanisms; two feeding mechanisms; a driving mechanism; the process that the rotating shaft rotates in the first direction has a discharging stroke, a steel pipe feeding stroke and a clamping stroke. The rotating shaft has a butt joint stroke and a reset stroke in the process of rotating in the second direction. Through rotation of the rotating shaft in the first direction, discharging of welded steel pipes is achieved, the feeding mechanism is driven to feed the to-be-welded steel pipes, the two clamping mechanisms clamp the to-be-welded steel pipes on the two sides correspondingly, and after clamping is completed, the two to-be-welded steel pipes are overturned by 180 degrees so that the two to-be-welded steel pipes can be located between the two clamping mechanisms; and the rotating shaft rotates in the second direction to drive the two clamping mechanisms to get close to each other, so that the two to-be-welded steel pipes are driven to get close to each other and abut against each other, and the welding action of the steel pipes is completed by the welding manipulator.

The invention provides an inner flanging welding method of a water tank inner container and the water tank inner container, and relates to the technical field of welding manufacturing, and the inner flanging welding method comprises the following steps: obtaining three-dimensional point cloud data of an inner flanging interface of the water tank inner container in real time, and registering the point cloud data with a preset three-dimensional geometric model; based on an improved RRT algorithm, in combination with geometric features represented by the registered three-dimensional point cloud data, an initial motion track of a welding gun is planned; welding is conducted on the basis of the initial motion trail, and the weld width, the fusion depth feature and the defect feature are extracted from a molten pool image obtained in the welding process; correcting welding parameters of a welding gun in real time based on the weld width and fusion depth characteristics; and when the defect characteristics do not meet the preset conditions, path re-planning is triggered, a real-time movement track and synchronously-adjusted welding parameters are generated based on the currently-corrected welding parameters and the defect characteristics, and a welding gun is controlled to execute compensation welding. And the welding quality is improved.

The invention provides a welding obstacle avoidance path planning method and system based on artificial intelligence, and relates to the technical field of data processing, and the method comprises the steps: carrying out the penetration depth detection of a dynamic convex hull body and a discrete space sampling set, and generating collision probability density distribution; the collision probability density distribution is subjected to quality evaluation, welding gun posture constraint and a kinematics error transfer chain are fused, and a welding quality deviation functional is generated; analyzing high-deviation nodes in the welding quality deviation functional, and executing local tangent plane projection on the associated spatial sampling subsets to obtain pose compensation parameters; and the pose compensation parameter and the joint space motion primitive sequence are input into a kinematics inverse solution module, and an optimized welding gun motion parameter set is generated through geodesic line construction and parameterized spline interpolation. The welding efficiency and the quality target are improved, and the automation level of the whole welding operation is improved.

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 relates to the field of flange plate welding, in particular to an automatic flange plate welding device which comprises a fixing table, a three-jaw chuck used for clamping a flange plate is arranged at the upper end of the fixing table, and a fixing mechanism used for fixing the flange plate and a pipeline and a circumferential welding mechanism used for welding the pipeline to the flange plate are arranged above the fixing table. In the downward moving process of the fixing mechanism, the flange plate which is clamped and fixed can be limited in the circumferential direction, the upper end of a pipeline can be pressed, meanwhile, the pipeline can be clamped through the inner clamping assembly, the effect that one machine has multiple functions is achieved, it is ensured that the flange plate and the pipeline reach the optimal alignment state before welding, and the welding efficiency is improved. And meanwhile, the overall structural stability in the welding process can be further improved, the welding quality is improved, and the overall working efficiency is improved.

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 the technical field of condenser welding, and particularly discloses an aluminum condenser welding device which comprises a workbench, a pair of sliding blocks are assembled on the workbench in a left-right sliding mode, a driving piece and a pushing piece which are matched with the sliding blocks are arranged on the workbench, and the sliding blocks are rotationally connected with the driving piece. A rotating piece for driving the sliding block to rotate to a vertical state is arranged at the joint of the sliding block and the driving piece; a wiping layer is arranged on the sliding block, the wiping layer is located above the sliding block when the sliding block is in a horizontal state, a plurality of ejector rods are arranged on the sliding block in a sliding mode, the ejector rods abut against the inner side of the wiping layer, an oil cavity filled with hydraulic oil is formed in the sliding block, the end of each ejector rod extends into the oil cavity, and a push plate is arranged on the side, away from the wiping layer, of the sliding block in a sliding mode. The push plate moves relative to the sliding block to adjust oil pressure of the oil cavity to drive the ejector rod to move. The aluminum condenser welding device has the effect of improving the welding efficiency and the welding precision.

The invention discloses a steel plate welding quality monitoring and controlling method for ship machining, and relates to the technical field of welding control, the method comprises the following steps: monitoring and identifying a target steel plate welding seam through a monitoring and sensing module to obtain a welding seam characteristic sensing data stream, mapping processing analysis is conducted on the weld joint characteristic sensing data flow through a data processing multi-dimensional channel, weld joint defect characteristic parameter information is obtained, quality evaluation is conducted on the weld joint defect characteristic parameter information, a weld joint multi-dimensional evaluation quality result is obtained, control analysis is conducted on the weld joint multi-dimensional evaluation quality result through a steel plate welding strategy space, and a steel plate welding strategy space is obtained. And target welding control parameters are determined, welding control monitoring is carried out based on the target welding control parameters, steel plate welding feedback parameters are obtained, and quality optimization control is carried out on the target welding control parameters. The technical effects that intelligent and efficient monitoring of the welding quality is achieved through multiple nondestructive testing modes, the welding quality monitoring control accuracy and efficiency are improved, and then the ship steel plate manufacturing quality is ensured are achieved.

The present disclosure provides a molding machine for flexible production of a rebar of bottom, web, and top plates of a precast small box girder, comprising a molding mainframe and a movable gantry welder disposed on an outlet end of the molding mainframe. The molding mainframe includes a frame, two synchronous lifters, a vertical movable sliding table, a plurality of upper support plates, and a plurality of comb-like support plates. A plurality of spot welding assemblies are disposed on an upper side and a lower side of an outlet end of the frame, a straightening rebar receiving assembly is mounted on the lower side and two bending assemblies are mounted on a left side and a right side of the outlet end of the frame, and a straightening rebar feeding assembly is disposed between the straightening rebar receiving assembly and the frame.

The invention relates to the technical field of bracket welding, in particular to a tractor bracket part welding device. Comprising a rack, an overturning frame, a clamping mechanism, a distance adjusting mechanism, an overturning mechanism and a pushing mechanism, the overturning mechanism is provided with two rotating discs synchronously rotating with the overturning frame, and the clamping mechanism comprises a steel mounting frame arranged on the overturning frame, a clamping assembly and a clamping driving assembly arranged on the rotating discs and in transmission connection with the clamping assembly; the distance adjusting assembly comprises a threaded sliding seat which is slidably arranged on the overturning frame and is in transmission connection with the steel mounting frames on the two sides and a rotary driving assembly which is installed on the rotary disc and is in transmission connection with the threaded sliding seat, and welding robot arms are arranged at the two ends of the side of the machine frame. By means of the H-shaped steel welding device, stable clamping of H-shaped steel of different sizes is achieved, longitudinal clamping is guaranteed, meanwhile, transverse position adjustment and automatic centering deviation correction can be conducted, the welding precision and quality are improved, the H-shaped steel welding device meets the requirements of various working conditions, manual adjustment steps are reduced, and the working efficiency is improved.

The invention provides an intelligent assembling and welding manufacturing method and system for an open-type pressure machine tool body, and relates to the technical field of open-type pressure machine tool body assembling and welding. The method comprises the steps that according to the structural characteristics of the open-type pressure machine tool body, the machine tool body is divided into a plurality of independent functional modules, and the functional modules are positioned and clamped; the assembled open type pressure machine tool body is obtained; the method comprises the steps that a welding sequence optimization model of welding seams is established according to a key stress structure of an open type pressure machine tool body, and the optimal welding sequence of the welding seams is obtained by solving the welding sequence optimization model; welding the assembled open-type pressure machine tool body by utilizing the optimal welding sequence, and in the welding process, identifying a welding seam type and defect characteristics by adopting a phased array ultrasonic imaging technology, outputting a welding defect ultrasonic imaging result, predicting an expansion evolution behavior of the defect according to an intelligent detection result, and forming a quantitative defect evaluation system; and multi-information fusion intelligent evaluation of the welding quality is realized.

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.