5883results about "Welding accessories" patented technology

The invention relates to the technical field of welding, in particular to a corrosion steel welding cooperative control method and system. Comprising the following steps that welding seam geometric parameters, molten pool dynamic characteristic parameters and welding heat input parameters in the corrosion steel welding process are collected in real time through a multi-dimensional sensor array; constructing a corroded steel welding seam feature space model based on the welding seam geometric parameters, and determining material corrosion grade distribution and mechanical property parameters of a welding seam area in combination with a preset corroded steel material database; a molten pool form evolution prediction model is established through an adaptive Kalman filtering algorithm by utilizing the dynamic characteristic parameters of the molten pool and the welding heat input parameters, and the solidification behavior and the welding seam forming trend of the molten pool are predicted in real time; according to the material corrosion grade distribution, the mechanical property parameters and the molten pool forming trend, a dynamic adjustment strategy of the welding process parameters is generated through a multi-objective optimization algorithm; the reliability and safety of the corrosion steel welding joint can be improved.

The invention relates to an intelligent welding robot which comprises a robot body, a quick-change type modular welding gun assembly, an annular array sensing module, an active cooling device and an edge calculation unit. Wherein the quick-change type modular welding gun assembly is installed at the output end of the robot body and used for conducting multi-angle welding operation on a workpiece. The annular array sensing module comprises six sets of 3D line laser sensors and is used for obtaining three-dimensional point cloud data of a workpiece. The active cooling device is integrated in a joint of the robot body and used for controlling the temperature of a joint motor. And the edge calculation unit is used for rapidly processing the collected multi-modal data information, dynamically planning a welding path, adjusting welding process parameters on line by adopting a Bayesian optimization framework, and controlling the quick-change modular welding gun assembly to weld workpieces in a welding area in real time. The welding device has the effect of effectively improving the welding quality and the welding efficiency.

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 discloses a welding robot track self-adaptive correction method based on multi-modal data fusion, and particularly relates to the technical field of industrial robots, which comprises the following steps: synchronously acquiring visual three-dimensional point cloud and arc current and voltage transient waveform data in a welding process in real time; an enhanced working trajectory feature vector fusing the visual trajectory features and the arc deviation compensation amount is constructed; respectively calculating real-time confidence coefficients of the visual sense and the arc sensing mode; inputting the confidence coefficient into a weight distribution strategy model, dynamically resolving vision and arc weight coefficients, and when the confidence coefficient of one sensor is low, lifting the weight of the other sensor to dominate correction; performing weighted fusion on the two pose adjustment amounts by using a weight coefficient to generate a six-degree-of-freedom comprehensive trajectory correction amount; and finally, the robot is driven to execute online adaptive trajectory correction. Through a confidence-driven dynamic fusion strategy, the limitation of a single sensor is overcome, and the welding robot trajectory tracking precision and the adaptive capacity are improved.

The invention discloses a TIG (Tungsten Inert Gas) welding penetration depth self-adaptive control system for a coiled pipe, belongs to the technical field of welding automatic control, and aims to solve the problems of inconsistent penetration depth control and real-time early warning of abnormal processing in TIG welding of the coiled pipe. The method comprises the steps that welding parameters are initialized based on parameters such as the material and the pipe diameter of the coiled pipe, and the target fusion depth is determined; identifying a straight line segment and a curve segment through the panoramic image, marking a target welding point and generating a welding path; determining a local processing space according to welding point position division types and differentiation, and verifying and updating; positioning precursor, current and subsequent points during updating, collecting images to extract multi-modal features, and adaptively updating the target fusion depth based on the geometric change of the subsequent points and the quality features of the precursor points; and during welding, processing quality and intervention abnormity early warning is carried out according to the real-time multi-mode characteristics, the processing parameters and the environment parameters.

The invention discloses an electric arc dynamic self-adaptive control method and sensing system based on multi-modal sensing, and relates to the technical field of electric arc control. A multi-modal sensor integrated on a welding gun is used for synchronously collecting an electric arc form image, a molten pool area image, a molten pool oscillation sound signal and current and voltage multi-dimensional data; the collected data are preprocessed, and real-time parameters in the welding process are extracted; calculating and outputting an optimal welding control parameter in real time by combining a depth Q model and taking the welding quality as an optimization target; the control parameters are transmitted to a welding actuator, real-time adjustment of the welding process is completed, and real-time control over the welding arc is achieved; the control method can be used for enhancing the real-time self-adaption of a welding control system to complex welding components and the flexible manufacturing capacity of replacing a product line; the technical problems that in an existing automatic electric arc welding control method, electric arc welding information collection is single, control response is delayed, the flexible degree is low, and welding feature extraction errors are large are solved.

The invention discloses a gradient welding strength control method and system for a welded galvanized steel pipe for fire fighting, particularly relates to the technical field of welding automation control, and aims to solve the problem of abnormal welding seam strength gradient caused by instantaneous unbalance of an electric field and a thermal field during dynamic parameter switching in the prior art. Electromagnetic distortion characteristic quantity is extracted through frequency domain energy analysis, and thermodynamic offset state quantity is deduced in combination with a thermal diffusion trend; on the basis of frequency band correlation mapping of electromagnetic and thermodynamic parameters, thermoelectric cooperative imbalance levels are divided through mutual information entropy evolution, and a self-adaptive harmonic attenuation weight tuning instruction is generated; analyzing a mismatching relation between transient disturbance of an environment magnetic field and arc voltage modulation distortion in real time, dynamically generating a magnetic field compensation factor and reversely superposing the magnetic field compensation factor to a control instruction; and in combination with the matching degree of molten pool oscillation energy and a harmonic frequency spectrum, correcting wire feeding rate calibration, reconstructing a multi-band harmonic energy proportion spectrum, outputting an anti-interference welding control signal, and realizing dynamic balance between arc stability and molten pool heat input.

The invention discloses a 3D printing path planning method based on electric arc additive anisotropy and a stress field, and the method comprises the steps: constructing a CAD three-dimensional model of a part, and obtaining the stress field of the part through finite element simulation; determining a slice plane; mapping the stress field to a slice plane to form a force flow line; according to the obtained force flow line, rotation transformation regeneration is carried out according to the anisotropy of the used electric arc additive, and a reference trajectory considering the anisotropy of the material is obtained; under the principle of alternate arc starting and extinguishing, the corresponding printing sequence in the layers and between the layers is further planned, and the reference trajectory lines are connected end to end to be planned into a continuous path; and generating a code file, and printing according to the printing sequence. The comprehensive mechanical property of a printed piece is improved.

The utility model relates to the technical field of gas guiding of gas shielded welding guns, in particular to a gas guiding assembly of a gas shielded welding gun, which comprises a gas inlet pipe, a contact tube arranged at one end of the gas inlet pipe and gas dispersing holes arranged on the side wall of the gas inlet pipe. The side wall of the flow dividing sleeve is provided with a plurality of flow dividing holes, the inner wall of the flow dividing sleeve is provided with a vent groove, the flow dividing holes are communicated with the vent hole through the vent groove, the air inlet pipe is sleeved with an insulating cylinder, one side of the insulating cylinder is provided with a spray pipe, a spiral blade is sleeved with the spray pipe, and the spiral blade is arranged on the air inlet pipe in a sleeved mode. And the shunting hole and the contact tube are positioned in the spiral blade. The utility model provides a gas guide assembly of a gas shielded welding gun, which can reduce turbulent flow formed in a welding area, improve the welding quality and conveniently clean welding slag, and is used for overcoming the defects in the prior art.

The welding gun comprises a machine body and a machine head, the machine head is arranged at one end of the machine body, a containing cavity is formed in the machine head, and the end, away from the machine body, of the containing cavity is open. The U-shaped pipe and the two linear pipes connected with the U-shaped pipe extend into the containing cavity of the machine head from the open end of the containing cavity, the end wall, away from the machine body, of the machine head abuts against the outer side wall of the heat exchanger case, a welding mechanism is arranged on the side, located in the containing cavity, of the machine head, and the welding mechanism is used for welding the inserting positions of the U-shaped pipe and the linear pipes. The machine body is used for driving the machine head to move, the machine head is arranged on the U-shaped pipe and the two linear pipes in a covering mode through the containing cavity, the inserting position of the U-shaped pipe and the linear pipe can be welded, and therefore the dense tube bundle of the heat exchanger can be welded conveniently.

The invention discloses a locating weld robot system based on active and passive visual sensing, and relates to the technical field of robot welding, the locating weld robot system comprises a weld tracking module, the weld tracking module is used for monitoring a weld and a welding state and adjusting the position of a welding gun; the welding seam tracking module comprises a visual sensing unit, a deviation detection unit and an automatic deviation correction unit, the visual sensing unit is connected with the deviation detection unit through Bluetooth, and the deviation detection unit is connected with the automatic deviation correction unit through Bluetooth. By designing the welding seam tracking module, the automatic welding seam positioning function is achieved, the problem of welding seam position deviation is solved, the welding quality and efficiency of the welding seam robot are improved, and active and passive vision fusion is achieved.

The present invention relates to the technical field of screw welding processing, and discloses an automatic arc welding machine for processing countersunk small self-drilling cement screws, including an operating platform and a manipulator for taking screws, and a welding gun for welding screws and plates, a shell is installed on the upper side of the operating platform, a support frame for transmitting screws is installed inside the shell, first grooves for placing screws are symmetrically opened on both sides of the support frame, a movable frame for progressive screws is movably installed between the operating platforms, a driving motor for driving the movable frame to move is installed on the side wall of the support frame, a support table is installed on the upper side of the operating platform, a detection head for checking the alignment of the screws is installed on the side of the support table, and a conversion seat for adjusting the alignment of the screws is installed on the upper side of the operating platform. After the manipulator takes the screws and docks them with the metal plate, a welding gun is used to weld them, thereby realizing automatic welding, reducing labor costs, and improving production efficiency and welding quality.

The invention discloses an intelligent welding control system and method based on multiple sensors and electronic equipment, and belongs to the technical field of automatic welding, the system comprises a sensing layer, a decision-making layer and an execution layer, through cooperative work of a front laser vision sensor, a rear laser vision sensor and a molten pool image sensor, a groove three-dimensional model can be accurately established before welding, and the welding precision is improved. And dynamic information of the molten pool is continuously collected in the welding process, a dual monitoring mechanism for the geometric characteristics of the welding line and the state of the molten pool is formed, and multi-source data collection and fusion in the whole welding process are achieved. The control method comprises the steps of pre-scanning modeling, feedforward parameter planning, real-time feedback adjustment of a molten pool, data fusion optimization and the like, and high-precision self-adaptive control over welding parameters is achieved by combining deep learning and the Kalman filtering technology. According to the method, the welding adaptability, the control precision and the intelligent level can be remarkably improved, and the method is suitable for high-precision welding scenes such as pipelines, pressure containers and steel structures and has remarkable engineering application value and popularization prospects.

The invention relates to the technical field of steel structure welding assembly, and discloses a dynamic cooperative control steel structure welding assembly production line and an operation method thereof, which are used for automatic welding and deformation correction of H-shaped steel components. The production line comprises a feeding area, an assembling area, a welding station and a correction detection area. Global cooperative control is achieved through a distributed supporting system, a multi-dimensional sensor monitoring system and a cooperative robot system. The distributed supporting system is composed of dynamic roller bed units, the supporting height is adjusted in real time through a pressure sensor array and a micro hydraulic actuator, and workpiece droop is counteracted. The multi-dimensional sensor monitoring system collects temperature, strain and morphology data in real time; the welding robot and the correction robot synchronously apply electromagnetic stirring to optimize a welding seam during welding, and ultrasonic peening and laser heating are combined to reduce residual stress during correction. The industrial control computer dynamically adjusts welding parameters, supporting force and a correction strategy through sensor data, and high-precision straightness and low-residual-stress control is achieved.

The invention belongs to the technical field of reinforcement cage auxiliary welding, and mainly relates to a photovoltaic cement ground pile reinforcement cage welding tool which comprises a welding robot and a welding positioning mechanism. The welding positioning mechanism comprises a supporting unit, and the supporting unit is provided with a first positioning station and a second positioning station. When the photovoltaic cement ground pile on the second positioning station is welded by the welding robot, the ground pile pipe, the triangular hoop and the reinforcing steel bar can be fed, positioned and placed at the first positioning station by the worker, so that the two positioning stations cannot be idle; the photovoltaic cement ground piles are welded and fed alternately on the first positioning station and the second positioning station, so that the frequency of manually carrying materials can be reduced, the labor intensity is reduced, and meanwhile, the production efficiency can also be improved.

The invention relates to the technical field of welding processes, in particular to a ship pipeline assembly welding process. The ship pipeline group welding equipment comprises a diameter adaptation assembly, the diameter adaptation assembly comprises a portal frame, two supporting rods, a roller, a transverse plate, a hydraulic adjusting assembly, a first hydraulic telescopic rod and a second hydraulic telescopic rod, the portal frame is fixedly installed at the top of a fixed supporting table, and the two supporting rods are rotationally connected to the side portion of the portal frame. The opposite sides of the two supporting rods are rotationally connected with a roller, two hydraulic adjusting assemblies which are symmetrically arranged are fixedly installed at the top of the portal frame, and a transverse plate is arranged at the bottoms of the hydraulic adjusting assemblies. According to the welding device, the circle center of the fixed ring can be located on the axis of the ship pipeline all the time, meanwhile, the extension length of the second hydraulic telescopic rod is adjusted, the second hydraulic telescopic rod can make contact with the ship pipeline, ship pipelines of different sizes are positioned, and stable welding is achieved after the reducer pipe and the ship pipeline are in butt joint.

The invention relates to the technical field of intelligent welding, in particular to an intelligent welding system and method based on binocular vision and line scanning laser. The intelligent welding system based on binocular vision and line scanning laser comprises a welding management assembly, a welding monitoring assembly, a welding execution assembly and a welding seam tracking assembly. The welding management assembly comprises a scanning unit and a processing unit. The scanning unit forms welding part contour information and welding groove shape information; and the processing unit edits a welding process characteristic curve and plans multiple layers of welding paths. And the welding monitoring assembly generates welding process real-time correction information. And the execution assembly controls the welding execution equipment to perform welding operation. The intelligent welding system has the advantages that the welding process is monitored in real time, welding parameters are adjusted in time, the positioning precision of a workpiece is improved, the multi-layer and multi-pass welding requirement is met, a multi-layer and multi-pass planning algorithm is provided, process parameters in the welding process can be corrected in real time, and the welding quality is improved.

The invention discloses a magnetic control arc GTAW-GMAW composite narrow gap welding system and method. The system comprises a GTAW welding gun, a GMAW welding gun, a magnetic conductive iron core, a magnet exciting coil, a magnetic boot, an assembling clamp, a GTAW welding power source, a GMAW welding power source and a magnetic control power source. The GTAW welding gun, the GMAW welding gun, the magnetic conductive iron core, the magnet exciting coil and the magnetic shoe are fixed through the assembling clamp to form a welding assembly, and the welding assembly is connected with an end effector of the robot. The GTAW welding gun is connected with a GTAW welding power source through a cable. The GMAW welding gun is connected with a GMAW welding power supply through a cable; the excitation coil is connected with a magnetic control power supply through a cable; the GTAW welding power source, the GMAW welding power source and the magnetic control power source are in communication connection with the robot control system. The defect of incomplete fusion in narrow-gap welding of thick stainless steel plates and high-strength steel is effectively overcome, the optimized energy distribution not only refines the weld structure and improves the mechanical property of a joint, but also reduces deformation caused by heat input, and a stable and reliable high-quality welding result can be obtained.

The invention discloses automatic welding equipment for large steel structure joints, and relates to the technical field of steel structure welding. Comprising an automatic welding gun part, a rotary fine adjustment part is installed on the automatic welding gun part, and an upper edge detection part is installed on the rotary fine adjustment part; the upper edge detection piece is used for detecting the upper edge of the steel beam; the rotary fine tuning piece is used for adjusting the angle of the upper edge detection piece; a position test piece is mounted on the rotary fine tuning piece; the position test piece is used for detecting a welding position; the upper edge detection piece can be used for ensuring that welding personnel firstly weld the lower edge groove of the steel beam during welding work, so that the welding quality of the structure can be improved, and the welding hidden danger caused by preferential welding of the upper edge of the steel beam is avoided; the problems that according to an existing steel structure node automatic welding device, the steel beam welding sequence is poor in control, the steel beam welding quality is prone to being affected, and the cable state is inconvenient to test in real time for prompting are solved.

The invention relates to the technical field of pipeline welding automation, and discloses a pipeline multi-layer and multi-pass welding track self-adaptive planning method. The method comprises the steps that weld joint track poses, welding electrical parameters and temperature information are collected in real time, and a sliding time window data sequence is constructed; establishing an interlayer constraint model and a trajectory prediction model based on the sequence, and generating a plurality of trajectory deviation predictions through short-term recursive prediction and long-term sequence prediction; a residual error reciprocal weighted fusion strategy is combined with a welding seam forming quality evaluation function, fusion track deviation is obtained, and uncertainty is evaluated; the fusion deviation is superposed to an original planned trajectory, and a self-adaptive correction trajectory is generated through a multi-objective optimization model; and the welding robot is controlled to execute track correction and real-time feedback updating. According to the method, through dual-time scale prediction and trajectory-process parameter collaborative optimization, the problem of insufficient welding seam forming precision caused by lack of dynamic correction in traditional static planning is effectively solved, and the welding quality and efficiency are remarkably improved.

The invention provides a water turbine runner crack electric arc additive repairing track planning method based on an irregular model, and relates to the technical field of hydroelectric power generation equipment crack repairing. The method comprises the steps that crack defects are removed through carbon arc air gouging, and a model of a blade area to be repaired is established; based on a reverse reconstruction technology and a Boolean operation technology, generating a three-dimensional grid model of the irregular repair area; a mixed trajectory planning strategy is optimized, and the repairing area is sliced to generate an electric arc additive repairing trajectory; and welding gun posture optimization based on collision detection is carried out, and the contour track is adjusted according to a given rule. A geometric model of a to-be-repaired area of a blade is established, and a three-dimensional grid model of an irregular repaired area is quickly and accurately established based on a reverse reconstruction technology and Boolean operation.

The invention relates to the technical field of industrial robot welding control, and provides an off-line programming-based elevator car bottom welding path field debugging method, which comprises the following steps of: constructing a three-dimensional process simulation model of a welding robot and an elevator car bottom, and establishing a geometric mapping relationship between the model and a physical scene; virtual welding scene parameters and robot body parameters are configured in the offline programming system; generating an initial welding track based on the 45-degree inclined welding surface, and executing multi-dimensional collision detection and kinematics verification; the optimized welding track is coded into an industrial robot instruction in an ANSI / UTF-8 format, and the industrial robot instruction is deployed to a physical welding system; collecting multi-source sensing data in the welding process in real time, wherein the multi-source sensing data comprise six-axis attitude parameters, process parameters and environmental parameters; and a dynamic comparison mechanism of the actual welding data and the simulation prediction data is established, and when the deviation exceeds a preset threshold value, an iterative optimization closed loop is triggered. The method has the beneficial effects that the efficiency is improved, the precision is guaranteed, the process stability is enhanced, and the compatibility is expanded.

The invention discloses a fuse wire additive manufacturing method for regulating and controlling the strength of titanium alloy by adding rare earth oxide, which comprises the following steps of: 1, ultrasonically stirring and mixing rare earth oxide nano powder and ethanol solution to obtain turbid liquid; 2, polishing the surface of the titanium or titanium alloy substrate until the roughness is not greater than Ra1.6; thirdly, the surface of a substrate is evenly coated with the turbid liquid, after drying, fuse wire additive manufacturing of titanium or titanium alloy wires is carried out under inert atmosphere protection, and the titanium alloy with the improved strength is obtained; the fuse wire additive manufacturing process comprises the steps that layer-by-layer deposition is conducted, and after each layer is deposited and completely solidified and cooled, the surface of the deposited layer is coated with turbid liquid and dried. According to the method, coating of the turbid liquid containing the rare earth oxide and the fuse wire additive manufacturing process are combined, the titanium or titanium alloy containing the rare earth oxide and uniform in component is prepared, metallurgical bonding of the rare earth oxide and the titanium or titanium alloy wire is achieved, and the method is suitable for the technical field of metal additive manufacturing.

A forming device for a longitudinal submerged arc welded steel pipe. The forming device comprises a welding flux box body (1) and a welding head (2). A movement module (7) is movably connected to the middle end of an inner cavity of the welding flux box body (1). A power module (10) is movably connected to the interior of the middle end of the movement module (7). A movable module (6) is hinged to each of upper and lower ends on two sides of the power module (10), and a push plate (5) engaged with the movable modules (6) is movably connected to the middle of an inner cavity of the power module (10). A communication module (3) is fixedly connected on each of two ends at the bottom of the movement module (7), and each of the upper ends of the two communication modules (3) abuts and is connected to a closing module (4) slidably connected to the top of the welding flux box body (1). A blowing module (9) is fixedly connected on each of two sides of the push plate (5) located at the top end of the interior of the power module (10). An air outlet (11) is provided at each of the lower ends on two sides of the power module (10), and the interior of the air outlet (11) is connected to the blowing module (9). A pulling module (8) is movably connected to the interior of the movement module (7), and the top of the pulling module (8) abuts and is connected to the bottom of the push plate (5). The forming device enables layered processing of welding flux material, preventing partial adhesion of the flux material.

The invention discloses a laser vision welding seam tracking method based on deep learning, and relates to the technical field of industrial welding, a structural light is used for calibrating a welding seam between workpieces, and an image sensor is used for analyzing welding seam data and controlling a welding moving path, and the method comprises the following specific steps that 1, the structural light is emitted to a welding plane; the structured light is captured by the image sensor after being reflected; 2, after an image of the image sensor is read by a system, filtering and denoising processing is carried out, and edge lines on the two sides of a welding seam are obtained; structured light is emitted to a welding plane through a laser emitter, coordinate information of the structured light is captured through an image sensor, continuously-collected image information is integrated to measure an edge line of a welding seam, a median curve of the welding seam is obtained through data fitting, and a welding gun moves along the calculated median curve of the welding seam. The precision of the welding gun moving along the welding seam is improved, and the problem of heat damage caused by the fact that the welding gun is too close to the welding face on one side is solved.

The invention discloses a welding method for heterogeneous multi-wire in-situ metallurgy of a submerged arc pipe of a hydrogen conveying pipeline, and aims to solve the problem of hydrogen-induced failure caused by the problems of coarse weld structure, secondary phase particle aggregation, low-temperature impact toughness and the like caused by a traditional multi-wire submerged arc welding method. The welding method comprises the steps that firstly, the to-be-welded face of the hydrogen conveying pipeline is polished and cleaned; and secondly, the cleaned hydrogen conveying pipeline to be welded is welded through three-wire submerged arc welding, H08MnMoTiB is adopted as a first welding wire, BH60GX-III is adopted as a second welding wire, H08Mn2NiA is adopted as a third welding wire, the components of the three welding wires are optimized, and the technological parameters such as the wire feeding speed, the current and the voltage of the three welding wires are optimized and adjusted. According to the method, the idea of in-situ metallurgy and multi-wire submerged arc welding are fused, the alloy component proportion of transition metal of a welding pool is achieved by changing the wire feeding speed of different welding wires, and different welding process parameters are supplemented, so that quantitative adjustment of the cladding metallurgy performance of a welding seam is achieved, and the hydrogen-induced corrosion resistance is improved.

The invention discloses a method and equipment for double-ultrasonic cooperative in-situ auxiliary electric arc additive manufacturing of a large metal component, an electric arc additive manufacturing system and an ultrasonic vibration auxiliary electric arc additive manufacturing system. The ultrasonic vibration auxiliary electric arc additive manufacturing system comprises two ultrasonic impact guns, an optical sensor, a temperature sensor and a calculation control system. The optical sensor collects optical characteristics of the deposition channel and the molten pool and converts the optical characteristics into electric signals to be transmitted to the calculation control system, and the temperature sensor is used for monitoring and collecting temperature information of the deposition channel and transmitting the temperature information to the calculation control system to draw an isotherm; the calculation control system adjusts the distance between the ultrasonic impact gun and the center of the molten pool according to the isotherm and the optical characteristics of the optical sensor mobile phone, and the ultrasonic power is adjusted; one of the ultrasonic peening guns applies ultrasound from the component side edge as materials are added to the component edge. By means of the multi-axis freedom degree and accuracy of the mechanical arm, double-ultrasonic vibration is applied to all positions of a large metal component in the material adding process, and the mechanical property is improved.

The invention relates to a real-time control method for a transverse wire filling position of a wire filling GTAW based on visual sensing. A visual sensor is used for collecting images of welding arcs in the welding process in real time; detecting the transverse position of the welding wire in the electric arc in real time by using a method for calculating the transverse distance between the welding wire axis and the electric arc axis; the welding wire transverse adjusting mechanism is used for adjusting the transverse position of the welding wire in real time; and controlling the transverse position of the welding wire by utilizing a welding wire transverse automatic adjusting method to keep the axis of the welding wire intersected with the arc axis all the time. According to the method, the transverse position of the filling wire is accurately recognized and regulated successfully in the GTAW process of the filling wire, and the welding efficiency and quality are further improved.

The invention relates to the technical field of electric welding machines, in particular to a dynamic heat dissipation control method and system for an intelligent electric welding machine. A heat load real-time calculation and heat accumulation trend prediction step; a dynamic collaborative heat dissipation strategy generation and execution step: dynamically generating and executing an air cooling heat dissipation strategy, an air cooling and liquid cooling collaborative heat dissipation strategy or a protective heat dissipation strategy according to a comparison result; wherein the control parameters of the air cooling heat dissipation strategy are determined according to the difference value between the predicted temperature and the corresponding threshold value and the environment temperature; the control parameters of the air cooling and liquid cooling collaborative heat dissipation strategy are determined according to the difference value between the predicted temperature and the corresponding threshold value and the environment humidity; and a heat dissipation effect feedback and self-adaptive calibration step. Real-time sensing, thermal load prediction, a dynamic heat dissipation strategy and feedback calibration are combined, the heat dissipation strategy can be dynamically adjusted according to the working environment and the operation state of the electric welding machine, and the stability and reliability of equipment are improved.

A corrugated copper submarine cable and a submarine cable production device. The submarine cable production device comprises a worktable, and further comprises: a fixing compartment arranged in the middle of the upper surface of the worktable, wherein a fixing pipe penetrates the interior of the fixing compartment, a winding assembly is arranged on the circumferential surface of one end of the fixing pipe, and the winding assembly comprises a rotating ring rotatably arranged on the circumferential surface of the fixing pipe; and a welding compartment arranged on one side of the fixing compartment, wherein two support frames are arranged in the welding compartment, the top ends of the two support frames are both fixedly connected to limiting rings, a positioning ring is rotatably arranged between the two limiting rings, the inner wall of the positioning ring is fixedly connected to a plurality of arc welding heads, and the plurality of arc welding heads are distributed in a circumferential array along the inner wall of the positioning ring. By providing a welding assembly, the present invention solves the problem of reduced production efficiency of corrugated copper submarine cables caused by a relatively slow welding speed and low efficiency during normal welding in which welding is performed by a large number of technicians to generate corrugated textures.