26852results about "Soldering auxillary devices" patented technology

The invention relates to the technical field of automatic welding control, and particularly discloses a multi-station automatic welding cooperative control method for electric iron accessories, which realizes full-closed-loop accurate control of a welding process through multi-sensor data fusion and an intelligent optimization algorithm. According to the method, an infrared thermal imager, an acoustic emission sensor and an ultrasonic thickness measuring device are adopted to collect molten pool temperature field, sound wave frequency spectrum and fusion depth data in real time, after feature extraction, the data are input into a multi-target optimization model, and a Pareto optimal solution set is generated with the fusion depth, the width of a heat affected zone and phase change latent heat as optimization targets; dynamically adjusting a segmented welding-back path and process parameters on the basis of an optimization result, and triggering model iterative correction through ultrasonic online monitoring; the central control unit adopts space voxelization monitoring and a three-level collision avoidance strategy to coordinate operation of the multiple mechanical arms, and collision emergency protection is achieved in combination with flexible pressure sensing.

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 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 pressure pipeline welding device, and relates to the technical field of pipeline welding, the pressure pipeline welding device comprises a machine base and a cross beam installed on one side of the machine base, a guide rod and a rotating rod are connected to the two sides of the top of the machine base in parallel, and a fixing base for providing pipeline alignment outer ring welding support is installed in the middle of the machine base. According to the pressure pipeline welding device, the inner welding gun is used for carrying out inner circumference root welding treatment on the inner groove of the abutted seam, and then the outer welding gun with the adjustable angle is used for carrying out outer circumference root welding and wave welding on the outer groove of the abutted seam in sequence; the traction assembly is used for pulling the pipeline clamped by one clamping mechanism to abut against the pipeline clamped by the other clamping mechanism, so that the abutted seam gap between the two to-be-welded pressure pipelines is reduced during welding, and it is guaranteed that abutting welding is achieved for inner and outer abutted seam grooves of the pressure pipelines during welding; and it is ensured that the welding device can achieve high-quality welding on the pressure pipeline.

The invention discloses an automatic welding device for a rotary alloy furnace tube, and belongs to the technical field of arc welding equipment.The automatic welding device for the rotary alloy furnace tube comprises a base and a U-shaped bin located at the top of the base, and the two ends of the interior of the U-shaped bin are jointly provided with a centering clamping mechanism used for clamping the outer side of the furnace tube; a driving mechanism for providing power for the centering clamping mechanism to clamp the furnace tube is arranged on the outer side of the centering clamping mechanism, and a welding mechanism is arranged on the inner top of the U-shaped bin. A local sealing design is adopted for the inflation mechanism, the annular air bag is attached to the inner wall of the furnace tube after being inflated, an independent cavity communicated with the outside only through a welding seam gap is formed near the welding seam, the protection requirement can be met only by filling the local space with argon, the whole furnace tube or a large-range external space does not need to be filled, and compared with traditional overall argon filling, the argon filling efficiency is greatly improved. The argon consumption is greatly reduced, the industrial gas purchase cost is remarkably reduced, and the production cost investment is reduced.

The invention discloses a ship plane segmented welding multi-robot path planning system based on visual inspection, and relates to the technical field of ship manufacturing, the ship plane segmented welding multi-robot path planning system comprises a multispectral visual inspection module which is mounted on a portal frame and comprises a laser scanning sensor and an infrared thermal imager, the system is used for collecting three-dimensional point cloud and temperature distribution data of ship plane segments in real time. According to the ship plane segmented welding multi-robot path planning system based on visual inspection, the problem of path planning misalignment caused by assembly errors, thermal deformation and complex working conditions in large ship plane segmented welding is fundamentally solved through a multispectral visual real-time perception and material self-adaption dynamic correction mechanism. A composite correction vector and space-time grid collaborative pre-judgment technology is adopted, the welding seam track precision is effectively improved, it is ensured that the weld leg size strictly reaches the standard in the high-difficulty processes such as wrap angle welding and vertical position welding of the maximum-size workpiece, the defects such as air holes and cracks are eliminated, and the rework rate and the quality risk are greatly reduced.

The invention discloses a welding robot system based on body sensing and an intelligent route generation method, and belongs to the technical field of robot welding, the welding robot system comprises a body sensing module, a fusion processing module, an intelligent route generation module and an execution feedback module, the body sensing module collects multi-modal data in parallel through multiple sensing units and preprocesses the multi-modal data; the fusion processing module combines a three-dimensional attention mechanism and digital twinning mapping to realize deep feature fusion, the intelligent route generation module outputs an adaptive path through planning-optimization-layered correction, and the execution feedback module constructs a full-closed-loop dynamic adjustment mechanism. By the adoption of the system and method, the problems that physical and virtual scenes are not synchronous, dynamic interference response is insufficient and path adaptability is poor in complex welding seam welding are accurately solved, and the welding path fitting degree and quality stability are remarkably improved.

The invention discloses a welding robot path planning system cooperating with industrial vision and collision detection, and relates to the technical field of robot automatic welding, the welding robot path planning system comprises an upper computer, the upper computer is in communication connection with the following modules: an environment sensing module used for collecting welding environment information in real time, comprising three-dimensional point cloud data of a workpiece and obstacle information; and the data processing and fusion module is used for fusing the visual identification result and the obstacle detection data. By integrating industrial visual recognition and collision detection technologies, the dynamic change of the welding environment can be sensed in real time, an accurate environment model is constructed based on three-dimensional point cloud data, compared with a traditional welding robot with a preset path, the welding track can be dynamically adjusted, welding defects caused by environment interference are avoided, and meanwhile the welding efficiency is improved. In combination with an assembly error compensation mechanism, the deviation between a theoretical model and an actual workpiece can be corrected, the welding position precision is ensured, and the high-precision ship manufacturing requirement is met.

Provided in the present disclosure are a control system and method for a welding process, and a device, a medium and a program. The control system comprises: a sensor module, which is configured to collect data during a welding process; a data analysis module, which is configured to preprocess the data during the welding process, extract key features from the preprocessed data, perform weighted fusion processing on the key features to obtain comprehensive features, and perform defect identification on the basis of the comprehensive features by means of a machine learning model to identify and obtain defect features; a knowledge graph module, which is configured to use a knowledge graph to obtain, on the basis of the defect features, a repair policy corresponding to the defect features; a control module, which is configured to transmit to the data analysis module the data in the welding process that is received from the sensor module, receive the repair policy, and generate a repair instruction on the basis of the repair policy; and a repair module, which is configured to automatically adjust welding parameters or control an actuation mechanism to perform a repair operation on the basis of the repair instruction.

The invention relates to a tin ring automatic focusing laser soldering tin fixing and 3D welding spot detecting system, and belongs to the technical field of industrial automatic laser processing. The system is characterized in that a tin ring preparation module identifies pins in real time and dynamically optimizes winding parameters through visual positioning and a self-adaptive winding head, and performs defect identification and pre-repair analysis through multispectral imaging; the soldering tin positioning module is used for switching stations through a rotary table, and precise positioning and clamping of a product are realized by combining laser contour sensing and a focusing compensation algorithm; the laser tin soldering module can visually identify tin materials and automatically call welding parameters, laser power and action time are regulated and controlled in real time by establishing a regional heat conduction model, and gradient cooling is implemented after welding; and the 3D detection module adopts dual-mode scanning, constructs a welding spot three-dimensional model based on fusion data, recognizes microcracks through super-resolution processing, and discriminates the welding spot quality. And automation and intellectualization of the whole process from tin ring preparation to welding spot quality detection are achieved.

Provided in the present disclosure are a welding quality test method, apparatus and system, and a medium and a program. The test method comprises: receiving a plurality of groups of welding data collected by a plurality of sensors during welding; pre-processing the plurality of groups of welding data, so as to obtain a plurality of key features; inputting the plurality of key features into a test model, such that the test model determines, by means of a knowledge graph, whether there is a welding defect; when it is determined that there is a welding defect, outputting an identification result for indicating the presence of the welding defect; in response to the welding defect in the identification result belonging to a new welding defect type, adding new nodes into the knowledge graph, wherein the new nodes comprise a plurality of new welding process parameter nodes, which correspond to the plurality of key features, and a new welding defect node; and on the basis of the plurality of groups of welding data, establishing an association relationship between the plurality of new welding process parameter nodes and the new welding defect node.

The invention belongs to the field of robot control, and particularly relates to a robot self-adaptive impeller welding control method and system fused with multi-modal data, and the method comprises the steps: obtaining an impeller workpiece image and three-dimensional point cloud data through an industrial vision subsystem, and extracting a three-dimensional welding seam position point set representing a welding seam track; generating a candidate welding path set based on welding seam geometric feature analysis; in combination with welding seam morphology and process requirements, optimal welding process parameters are predicted through a regression model, and a welding gun attitude angle is calculated through quaternion conversion according to a curved surface normal vector; in the welding process, the relative position deviation of a robot and a workpiece and the parameter deviation of welding current / voltage and a planned value are monitored in real time, when the deviation exceeds a preset tolerance interval, a PID control algorithm is adopted to dynamically adjust robot motion parameters or welding process parameters, and closed-loop control over the welding process is achieved; according to the method, precise planning of the welding path and self-adaptive regulation and control of the process are achieved, and the welding quality and the forming consistency are remarkably improved.

The invention discloses an LLM central multi-agent tool arrangement and virtual-real closed-loop evolution scheduling system. The system comprises an intelligent sensing module, a knowledge module, an intelligent scheduling decision module and a closed-loop execution module. The intelligent sensing module collects real-time and multi-modal data of a physical environment and outputs structured sensing data, the knowledge module is used for constructing a knowledge graph and a historical task case library, and the intelligent scheduling decision-making module takes a large language model (LLM) as a core scheduling center, receives and analyzes task instructions, fuses the structured sensing data and graph and case information, and performs task scheduling on the knowledge graph and the historical task case library. Generating a decision scheme according with a constraint condition by using knowledge enhanced reasoning, and continuously optimizing in multiple iterations to generate a decision instruction; and the closed-loop execution module receives and drives the execution end to execute the decision instruction. According to the method, an intelligent closed-loop system of perception-decision-execution-evolution is constructed, and global optimization and high-reliability self-adaptive scheduling of multi-machine collaborative welding are realized.

The invention discloses a welding fixture for machining a turbine shell, which belongs to the technical field of turbocharger machining and comprises a turntable and adjustable welding clamping mechanisms uniformly distributed in the circumferential direction of the turntable, the adjustable welding clamping mechanism comprises a fixed rack, a movable machine base, an inner supporting type clamping assembly for clamping the turbine shell, an adjustable limiting assembly for positioning the end face of an air inlet of the turbine shell and an adjustable shifting assembly for pushing the turbine shell to rotate. According to the welding clamp for machining the turbine shell, automatic and rapid positioning of the turbine shell can be achieved so that a rocker arm can be welded conveniently, and the welding clamp can adapt to turbine shells of different models.

The invention relates to the technical field of welding platforms, in particular to a multifunctional welding process experiment platform and a process optimization system.The process optimization method comprises the following steps that a welding process setting module is constructed, and a welding mode, a groove type and a heat input scheme are preset; outputting the initial process configuration parameter set to drive a welding execution unit to perform automatic welding operation according to the initial process configuration parameter set; extracting a multi-dimensional process response vector including a stability index, metal fusion depth distribution and a heat affected zone expansion degree; outputting a welding seam grade result according to a preset quality grading standard, and generating a feedback identifier; and after updating, inputting to the step S2 again to form closed-loop optimization control. According to the method, digital modeling and evaluation of key indexes such as the welding stability, the fusion depth and the heat affected zone are achieved, and the problem that a traditional process depends on visual inspection and experience judgment is solved.

The invention belongs to the technical field of engine nacelle part production, and particularly relates to an intelligent welding system and method for an engine nacelle combined type air inlet fairing. An inner spoiler moving groove and an outer spoiler moving groove are machined in the air inlet duct casting blank borne by the air inlet duct positioning assembly through the inner cutting assembly and the outer cutting assembly correspondingly, and the air inlet duct casting blank is formed into an air inlet duct component; a first clamping feeding assembly, a second clamping feeding assembly, a third clamping feeding assembly and a fourth clamping feeding assembly are used for feeding an inner reinforcing part, a heating part, a noise reduction and sound absorption part preassembled with a spoiler assembly and an annular cover plate into a cavity of the air inlet channel component, and the fed parts are welded and fixed into the cavity of the air inlet channel component through a welding assembly; in this way, intelligent welding and assembling operation of the combined air inlet fairing can be achieved, and the combined air inlet fairing has the advantages of being high in structural strength, good in noise reduction and sound absorption effect and capable of achieving automatic deicing of the lip and air inlet distortion control.

The invention discloses a robot welding pipeline flange displacement special clamp, and relates to the technical field of ship manufacturing equipment, the clamp comprises a processing table, a welding mechanical arm, a placing mechanism, two groups of pipeline clamping mechanisms, two groups of flange fixing mechanisms, a traction mechanism, a rotating platform and three screw rod sliding tables; the placing mechanism is slidably mounted in the middle of the machining table through the rotating platform, and the two pipeline clamping mechanisms are symmetrically slidably mounted on the two sides of the placing mechanism and can synchronously move and clamp pipelines. The two flange fixing mechanisms are symmetrically arranged on the two sides of the containing mechanism and horizontally move through a lead screw sliding table. The traction mechanism is connected with the machining table through a lead screw sliding table and can lock / unlock the rotating platform and drive the containing mechanism to move. The welding mechanical arm is in linkage with the clamp and can conduct welding along the butt joint axis. Multi-degree-of-freedom posture adjustment of a pipeline and a flange can be achieved, a straight pipe and a 0-90-degree bent pipe are matched, it is guaranteed that welding is in a horizontal butt joint state all the time, and the welding quality and efficiency are improved.

The invention discloses a non-standard weldment-oriented robot efficient collision-free path planning method and system, and belongs to the technical field of robot welding, and the method comprises the following steps: S1, obtaining three-dimensional model data of a non-standard weldment and an operation environment, and extracting welding seam point cloud data; s2, carrying out feature extraction and downsampling on the welding seam point cloud data to generate a group of key path points; s3, global optimization is conducted on the welding path through an improved genetic algorithm, candidate paths are generated, and the welding sequence of the multiple sections of welding seams and the welding gun postures at the key path points are optimized at the same time through the improved genetic algorithm; s4, evaluating the candidate paths generated by the improved genetic algorithm through a multi-target fitness function including path length, attitude stability and collision risk; and S5, outputting an optimal collision-free welding path according to an evaluation result, and converting the optimal collision-free welding path into a smooth track which can be executed by the robot. According to the invention, the high-efficiency, high-quality and collision-free welding gun motion trail can be automatically generated.

The invention discloses an automatic production line control system and method for stamping and welding vehicle body parts, and relates to the technical field of vehicle body part production. The system comprises a welding robot module, an integrated visual detection module, an image processing server, a control PLC, a welding parameter regulator, a defective workpiece processing module, a data tracing cloud platform, a multispectral illumination module, a deep learning acceleration card and a welding spot temperature infrared sensor. On-line full inspection of the welding spot quality is achieved, the omission ratio is extremely low, and the integrated vision module maintains the imaging definition in a splashing environment through a nanometer coated lens and a piezoelectric self-cleaning technology; the multi-spectral lighting module solves the problem of reflective interference of an aluminum vehicle body, the defect recognition accuracy is high, the real-time closed-loop response is fast, the pseudo soldering recurrence rate is low through dynamic current compensation, the pneumatic marking positioning precision is high, accurate coordinates are provided for repair, the system supports high-speed detection of welding spots, and the high-beat requirement of a vehicle body part punching and welding automatic production line is met.

The invention relates to the field of steel pipe welding, and discloses a steel pipe welding device which comprises a workbench, a middle groove is formed in the middle of the upper face of the workbench, multi-directional limiting structures are arranged on the left side and the right side of the upper face of the workbench correspondingly, and U-shaped plates are fastened to the left side and the right side of the upper face of the workbench through bolts correspondingly; a pressing structure is arranged on the U-shaped plate, a rotating structure is arranged above the middle of the interior of the middle groove, abutting limiting structures are arranged on the two sides of the interior of the middle groove, and a collecting frame is arranged on the lower portion of the interior of the workbench. The steel pipes can be pressed on the multi-directional limiting structure, so that the steel pipes in different shapes can be directly limited and pressed, the operation is more labor-saving and convenient, the working cost is low, and the working efficiency is higher.

The invention relates to visual identification line drawing assembly welding equipment which comprises a welding conveying assembly, the welding conveying assembly comprises a platform frame and a conveying roller installed on the platform frame and used for conveying a packing machine plate, the conveying direction of the conveying roller is defined as the first direction, and the other horizontal direction perpendicular to the first direction is defined as the second direction; a self-walking line drawing assembly, a self-walking spot welding assembly and an auxiliary positioning assembly which move in a reciprocating mode in the first direction are arranged on the platform frame. According to the automatic line drawing and welding device, line drawing and welding of the packing machine plate are achieved through joint cooperation of the welding conveying assembly, the self-walking line drawing assembly, the self-walking spot welding assembly and the auxiliary positioning assembly, spraying drawing of visual recognition color lines of different colors can be achieved only through one-time walking, the line drawing efficiency is greatly improved, and the labor intensity of workers is lowered. And an automatic accurate assembling and positioning function and visual intelligent welding are realized.

A separating structure of a laser engraving machine having a base seat, a transport mechanism, and a separating mechanism. The base seat has a waiting area for the workpieces being stacked and a processing area, the transport mechanism includes a driving source and a transfer member electrically connected to the driving source, the transfer member carries the workpieces, the separating mechanism is arranged on the waiting area and has two forks that are capable of switching between a standby position and a detached position. When the forks are located at the standby position, the workpieces are stacked on the transfer member. When the forks are located at the detached position, the forks carry the other workpieces above the workpiece carried by the transfer member, the driving source drives the transfer member to move to the processing area for processing the workpiece.

The invention discloses an automobile tubular part inner wall supporting type laser welding device and technology, and relates to the technical field of automobile tubular part machining, the automobile tubular part inner wall supporting type laser welding device comprises a pipe welding base, an inner wall self-adaption supporting unit and a vertical displacement adjusting assembly, radial guide bases are connected to the two sides of the pipe welding base, and a synchronous servo motor is installed on the outer side of the pipe welding base; an internal driving screw rod and a guide sliding rod drive a stroke frame and a bearing supporting plate to achieve radial positioning of the supporting unit, the inner wall self-adaptive supporting unit comprises a driving cabin and a synchronous power source, transmission is achieved through a lead screw, a transmission fluted disc and a vortex transmission cylinder, a sliding adjusting sleeve is pushed, a supporting rod drives an arc face attaching lining plate to open and attach to the inner wall of the tubular part, and the tubular part is fixed. A vertical displacement adjusting assembly is arranged in a frame supporting beam, a variable frequency motor and a fine adjustment motor drive a guide screw rod and a screw rod correspondingly, alignment of a laser welding head is adjusted, a welding slag collecting groove in the center of a base and a detachable storage box are convenient to remove slag, and the welding machine is suitable for welding of tubular parts of multiple specifications.

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 provides a multi-point intelligent welding system and method. The method comprises the steps that process state feedback information between the tail end of each welding gun and a workpiece is obtained; dynamically predicting the thermal deformation amount of the workpiece, and compensating the initial expected pose of each welding gun according to the thermal deformation amount to generate a thermal compensation global pose; performing kinematics calculation according to a predefined welding seam path, the thermal compensation global attitude and a space cooperative constraint relationship among the welding guns, and generating a theoretical tail end pose of the tail end of each welding gun; for each welding gun, inputting the process state feedback information of the welding gun into the process self-adaptive adjustment model to obtain a local compensation pose used for offsetting the process deviation, and further obtaining a final target pose; and finally, according to the final target poses of the welding guns, the joint angles of the welding guns are determined, joint motors are driven to track the joint angles, and cooperative control over the poses and the process states of the welding guns is achieved. According to the scheme, high-precision cooperative pose control of the multiple welding guns in the thermal deformation environment can be achieved.

The invention relates to the technical field of industrial CT, discloses an automatic light beam centering method and system based on industrial CT, and aims at solving the technical defects that in the welding process, due to thermal deformation, the centering precision of a light beam and a welding seam is low, and the reliability is poor. The method comprises the steps that before welding, three-dimensional CT volume data of a workpiece to be welded are obtained to generate a nominal welding seam trajectory; establishing a thermal-mechanical coupling finite element analysis model, and simulating a welding process to generate a predicted thermal teratogenic field map; superimposing the predicted thermal teratogenesis to a nominal trajectory to generate a dynamic welding trajectory; in the welding process, a laser contour measurement sensor is driven to collect three-dimensional contour data of a welding seam area in real time and extract the actual welding seam center position; and establishing a Kalman filtering state observer. By the adoption of the technical scheme, continuous and high-precision tracking of the center position of the welding seam can be achieved, the influence of thermal teratogenesis is overcome, and the welding quality and the yield of complex structural parts are remarkably improved.

The invention provides an intelligent pipeline welding method and system based on data decision, and relates to the technical field of intelligent pipeline welding.The intelligent pipeline welding method comprises the steps that a welding request is responded, a groove image of a to-be-welded pipeline is obtained through an active visual sensor, groove morphology characteristic parameters of the to-be-welded pipeline are determined based on the groove image, and the to-be-welded pipeline is welded according to the groove morphology characteristic parameters. Based on the groove morphology characteristic parameters, corresponding basic layer channel arrangement rules and reference process parameters are determined from a preset layer channel arrangement database, a welding process scheme matched with the current groove is generated in combination with the groove morphology characteristic parameters, and the current groove is welded on the basis of the welding process scheme. And the welding operation is executed in the groove of the to-be-welded pipeline, the technical problems that in the prior art, the global planning capacity is deficient, the deviation correction strategy is locally lagged, and the whole-process accurate control is insufficient are solved, and the effect of improving the stability and reliability of the welding quality of the pipeline is achieved.

The invention discloses a five-axis hollow positioner device, which relates to the technical field of welding auxiliary equipment and comprises a rotating main body, an L-shaped positioner, a welding chuck and a chuck driving and clamping mechanism, the rotating main body comprises a main box body, a rotating base and a first slewing mechanism, and the main box body can rotate around the first slewing mechanism; the two L-shaped position changing machines are symmetrically arranged on the two sides of the main box body to form double stations, and welding and feeding are synchronous. The welding chuck is arranged on the L-shaped positioner through a third slewing mechanism and is used for clamping and driving the workpiece to rotate; the chuck driving and clamping mechanism controls the welding chuck to clamp / loosen; the device realizes five-axis movement, can flexibly adjust the welding posture of a workpiece, and eliminates welding dead angles; the double-station design improves the efficiency, the arc light prevention blocking screen guarantees the safety, the copper alloy clamping pad prevents the workpiece from being scratched, and the device is suitable for efficient welding of complex workpieces.

A chassis frame welding apparatus with a turning-over function comprises a welding device (1), a support frame (2), and two rotating supporting apparatuses, wherein the support frame is located between the two rotating supporting apparatuses; the welding device is disposed adjacent to the support frame; and each rotating supporting apparatus comprises a lifting device (4), a rotating device (5) and a clamping device (6), the rotating device comprising a rotating shaft (51), a one-way bearing (52), a first gear (53), and a first toothed plate (10). The chassis frame welding apparatus is provided with the one-way bearing and the first gear, which fits with the first toothed plate, and during the process in which the lifting device is used to lift by means of the rotating device and the clamping device a workpiece to be separated from the support frame, the first gear interacts with the first toothed plate, and the rotating shaft is then driven by means of the one-way bearing to rotate by 180 degrees; thus, the spacing between the workpiece and the support frame is adjusted by means of the lifting device, and the turning over of the workpiece under driving is completed, without providing a plurality of driving systems, thereby simplifying a turning-over supporting apparatus.

The invention discloses laser cutting equipment for intelligent manufacturing, and particularly relates to the technical field of laser cutting, the laser cutting equipment comprises an equipment main body and a laser cutter, and further comprises a first support and a second support, and the upper ends of the first support and the second support are provided with a plurality of first supporting strips and second supporting strips correspondingly; the multiple first supporting strips and the multiple second supporting strips are arranged in a staggered mode, a first driving mechanism used for driving the first supports and the second supports to move face to face or back to back is arranged in the equipment body, and a mounting base, a second driving mechanism driving the mounting base to move and a shell movably arranged on the mounting base are arranged in the equipment body. A plurality of cleaning units are arranged in the shell, and each cleaning unit comprises a cleaning wheel which can elastically abut against the upper portion of the corresponding supporting strip in a pressing mode. According to the device, slag on the supporting strip is automatically cleaned, the cleaning efficiency is greatly improved, the influence of the slag on subsequent machining is avoided, and the problem that the cutting precision is influenced due to high-temperature deformation of the supporting part is effectively prevented.