1154 results about "Molten pool" patented technology

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 field of welding quality detection, and discloses a steel structure welding quality detection method and system based on machine vision, and the method comprises the steps: obtaining an original welding seam image sequence through high-frequency sampling, and carrying out the preprocessing to generate a clear sequence; extracting features from the sequence to obtain a welding seam static defect index; time sequence data are constructed according to the time arrangement characteristics, and a dynamic time sequence data set is obtained by calculating the welding seam symmetry fluctuation amplitude and the molten pool shape change trend; inputting the data set into a neural network model, analyzing a surface profile curve time sequence evolution mode, and determining potential defect points; extracting a crack period amplitude sequence from the potential defect points, and performing Fourier transform to obtain a defect frequency distribution diagram; extracting a frequency peak value position from the graph, judging process parameter deviation, generating an alarm and updating a database; and determining a sampling frequency deviation value according to the alarm, adjusting the high-frequency sampling frequency through feedback circulation, and optimizing dynamic detection. According to the invention, the detection real-time performance, the accuracy and the parameter adjustment accuracy are improved.

The invention relates to the technical field of double-roller cast rolling, and provides a roller gap control method. According to the method, in the casting and rolling process, controlled floating of a roll gap is achieved under the condition of constant opening degree by controlling the overall movement of a driving device and a roll system and the relative movement between the driving device and the roll system, and therefore the material updating process in a molten pool is stabilized. Different from a traditional technical scheme, the method can keep the two roller bodies and the side sealing device static relative to the ground in the roller gap floating period, the thickness fluctuation of the green body is effectively avoided, the abrasion rate of the side sealing plate is reduced, and therefore the stability of the cast-rolling process and the quality of the green body are improved.

The invention provides a self-adaptive variable-parameter composite swing welding control method and related equipment, and relates to the technical field of welding. The method comprises the steps that real-time multi-physics field sensing data is obtained; inputting the real-time multi-physical field sensing data into a simulation model for predicting the behavior of the molten pool, and outputting a state parameter predicted value of the molten pool in a future preset time period; matching a composite swing track parameter corresponding to the molten pool state parameter predicted value from a preset database; and when the welding gun enters the residence area of the welding seam swing edge according to the macroscopic reference track, the tip of the welding gun is controlled to execute asymmetric spiral oscillation motion in the preset residence area according to the microcosmic modulation track until the tip leaves the preset residence area. By implementing the method, the problems of edge overheating, undercut or insufficient fusion caused by fixed parameters can be relieved, and the welding seam forming quality and the stability of the welding process are improved.

The invention provides a full-laser multi-energy-field remanufacturing device and method, and relates to the technical field of laser cladding remanufacturing, and the full-laser multi-energy-field remanufacturing device comprises a laser system, an energy field auxiliary system, a powder conveying system, a monitoring system and an intelligent management and control system; the energy field auxiliary system comprises a magnetic field generation unit and an ultrasonic vibration unit; the monitoring system is used for collecting multi-source sensing data reflecting the state of the molten pool in real time; the intelligent management and control system comprises a machine learning digital twinning module used for acquiring historical process data and receiving and performing analysis and prediction based on multi-source sensing data and the historical process data so as to generate a dynamic cooperative control instruction; and the numerical control execution module is used for receiving the control instruction and performing real-time feedback adjustment on the technological parameters of the laser system and the technological parameters of the magnetic field generation unit, the ultrasonic vibration unit and the powder conveying system according to the control instruction. And real-time and dynamic collaborative feedback regulation and control on a plurality of process units such as laser, a magnetic field, an ultrasonic field and powder feeding are realized.

The invention belongs to the technical field of welding process optimization, provides a pipeline welding parameter optimization method and system for natural gas conveying system construction, and is used for solving the technical problems of high hydrogen-induced cracking risk, parameter dependence on artificial experience and optimization process isolation lag in shallow hydrogen natural gas conveying pipeline welding. According to the method, a visual image of a molten pool, a joint thermal field, electric arc electrical parameters and environmental data are synchronously collected through a multi-source sensor, a hydrogen diffusion-thermal coupling model is constructed to calculate hydrogen concentration and stress, after reference parameters of a knowledge base are called, current, voltage and speed adjustment amounts are generated through a GBDT algorithm, and then real-time correction is conducted through a closed-loop module. According to the method, hydrogen-induced cracking can be quantitatively prevented and controlled, the weld joint failure probability in the shallow hydrogen environment is reduced, the process robustness and quality consistency are improved, the safe service life of the pipeline is effectively prolonged, and the high-safety energy conveying requirement is met.

The invention provides a metal printing control method, electronic equipment, a system and a storage medium, and is applied to the technical field of additive manufacturing. The method comprises the steps that multi-dimensional monitoring data of the metal printing process are obtained, wherein the multi-dimensional monitoring data at least comprise a molten pool visual image, molten pool temperature field distribution, printing layer three-dimensional shape data and forming cabin environment data; performing corresponding dimension feature extraction on each dimension of monitoring data in the multi-dimensional monitoring data to obtain a multi-dimensional feature parameter; based on the multi-dimensional characteristic parameters, performing evaluation to obtain a state evaluation result; according to a state evaluation result, determining a to-be-adjusted process parameter and a target adjustment amount corresponding to the process parameter; and according to the target adjustment amount, an execution mechanism corresponding to the technological parameters in the metal printing control system is controlled to act so as to correct the printing state. The method is used for achieving the effects that the printing yield is improved, the printing quality is guaranteed, and then the process quality and the process stability of the metal parts are effectively guaranteed.

The invention relates to the field of mechanical engineering, discloses a quick-connection welding control method and system for aluminum alloy pipe fittings, and aims to solve the problems that in the prior art, heat input control is not accurate, the positioning and centering efficiency is low, parameter adjustment lacks self-adaptability, and the multivariable cooperative control capacity is insufficient. The method comprises the following steps: acquiring point cloud data of the end surface of a pipe fitting through three-dimensional scanning, and calculating a six-degree-of-freedom butt joint deviation by adopting an improved iterative nearest point algorithm; a compensation track is generated based on multi-objective optimization, and the six-degree-of-freedom parallel robot is driven to achieve fine adjustment; and after the butt joint deviation is stable, welding is started according to a sectional type current increasing strategy, and the wire feeding and welding speed is dynamically adjusted in combination with fusion depth feedback and visual detection. According to the scheme, high-precision automatic butt joint, stable molten pool control and online defect closed-loop treatment are achieved, the welding quality consistency and the production efficiency are remarkably improved, and the method is suitable for efficient and high-quality connection of various aluminum alloy pipe fittings.

The invention belongs to the technical field of welding equipment, and particularly relates to an intelligent high-speed laser welding device for a longitudinal welded pipe, which comprises a rack, a high-precision clamping mechanism, a multi-degree-of-freedom motion platform, a laser welding head and an intelligent control system. The clamping mechanism adopts hydraulic pressure to drive an arc-shaped clamping plate to realize self-adaptive centering and flexible clamping of the pipe fitting; an X-direction module of the motion platform adopts a servo motor to be matched with a synchronous belt (or a ball screw) for transmission, and a Y-direction module is driven by a hydraulic cylinder, so that precise track control of the laser welding head is jointly realized; the intelligent control system integrates visual tracking of welding seams, infrared monitoring of a molten pool and laser detection of deformation, and welding parameters and motion trails are dynamically adjusted by calculating a welding quality coefficient in real time and based on a threshold value and a residence criterion. According to the method, the problems of welding seam tracking lag, unstable molten pool state, thermal deformation compensation deficiency and the like in high-speed welding are solved, and self-adaptive optimization and full data tracing in the welding process are achieved.

According to the pipeline all-position robot intelligent welding system and method based on the AI algorithm, a laser vision scanning system is adopted for scanning a pipeline welding seam / groove, and an AI intelligent model generating system generates a pipeline all-position welding seam three-dimensional model diagram based on scanning data; the AI intelligent process generation system intelligently reads welding seam size information based on the model diagram, generates a welding gun path of all-position welding, optimizes the welding gun path, matches initial welding parameters and distributes the initial welding parameters to the intelligent welding robot, and the AI intelligent process optimization system predicts a welding seam molten pool in the welding execution process and judges whether the process is qualified or not. And if the process is unqualified, welding parameter adjustment is repeated, and if the process is qualified, process parameter optimization values are output. The welding quality of all-position welding of small and medium-diameter pipelines is accurately controlled, and the all-position welding quality of the pipelines is improved; and the system intelligently adapts to the complex environment of all-position welding of small and medium-diameter pipelines, and can cope with complex welding process changes in real time.

The invention provides a multi-mode fusion laser directional energy deposition real-time monitoring method and system, and belongs to the technical field of additive manufacturing. Comprising the steps that real-time data collection is conducted on a molten pool area in the laser directional energy deposition process through synchronous triggering of a multi-source sensor; a distributed clock network is constructed, environment influence parameters are collected in real time in combination with a working condition sensing unit, dynamic modeling and correction are conducted on asymmetric link delay in the clock synchronization process, and space-time alignment of multi-source sensor data is achieved; after the multi-source sensor data subjected to space-time alignment is preprocessed, data-level fusion, feature-level fusion and decision-level fusion are performed in sequence. The state of the molten pool can be accurately monitored in real time, and the quality and stability of the laser directional energy deposition process are improved.

The utility model relates to the field of welding, and provides a welding device for welding in a narrow space. The welding device for welding in the narrow and small space comprises a nozzle, an inclined wire contact tube and a welding wire. The nozzle can vertically extend into the welding space; the inclined wire contact tube is partially inserted into the nozzle in an inclined mode, the extending end of the inclined wire contact tube can be located on one side of an opening in the tail end of the nozzle, a flow guide sleeve is detachably installed on the other side of the opening in the tail end, and the flow guide sleeve can partially shield the opening in the tail end of the nozzle. The welding wire is arranged in the inclined wire contact tube in a penetrating mode and can stretch out of an opening in the tail end of the nozzle so that an electric arc can be formed on one side of the nozzle. According to the welding device for welding in the narrow and small space, the nozzle can directly stretch into the welding space, the welding wire is conveyed to any welding position in the welding space through the inclined wire contact tube, and therefore the flow guide sleeve is additionally arranged on the nozzle to form a lateral gas supply structure, the whole molten pool is reasonably covered with protective gas, and the welding efficiency is improved. The problems of gas turbulence and molten pool protection are solved.

The invention relates to the technical field of automobile manufacturing, in particular to a multi-focus dynamic regulation and control method for laser welding of a truck frame, which comprises the following steps of: S1, carrying out panoramic digitalization on a to-be-welded part of the truck frame through a three-dimensional laser scanner, and constructing a three-dimensional digital model; millisecond-level dynamic adjustment of the laser multi-focus number, spatial distribution and energy ratio is achieved through a programmable optical system and a fuzzy control algorithm, welding deviation is corrected in real time according to a multi-source sensor and a closed-loop feedback mechanism, and therefore it is guaranteed that the laser focus is accurately matched with the geometric characteristics of a welding seam and the real-time welding state; and the quality problems of abnormal temperature of a molten pool, geometric deviation of welding seams and the like are effectively avoided, the precision, stability and complex working condition adaptability of laser welding of the truck frame are remarkably improved, and meanwhile the manual intervention cost is reduced.

The invention discloses a node structure electric arc fuse wire additive manufacturing method, and belongs to the technical field of electric arc additive manufacturing. According to the method, the problems that in the prior art, due to uneven heat distribution, the joint binding force is insufficient, the machining allowance is low, and the welding gun collision risk is caused by too high material accumulation in a joint area are solved; the method comprises the steps that a welding gun deposits a first welding bead along an arcing point, when a second cross welding bead is deposited, a coaxial electromagnetic coil is arranged outside the welding gun, an external alternating magnetic field is generated to act on an electric arc, the electric arc and a molten pool oscillate periodically, and therefore the metal fluidity of the molten pool is enhanced; by applying the external alternating magnetic field, non-contact stirring of the molten pool can be achieved, an additional mechanical movement device is not needed, the molten pool has the advantages of being safe and clean, the fluidity of the molten pool subjected to magnetic arc oscillation stirring is higher, and the problems that materials at nodes excessively accumulate and protrude, and joints of the nodes are heated unevenly and shrink are solved.

The invention discloses an intelligent laser welding workstation for a high-voltage cable. The intelligent laser welding workstation comprises an operation table, a mechanical arm, a welding head, a camera assembly, a power assembly, a clamping assembly and a control piece. A control part is installed on the outer side of the operation table and comprises an image acquisition module, an image processing module, a track planning module, a motion control module, a quality detection module, a parameter adjustment module and a synchronous control module. Visual guidance and real-time monitoring in the welding process are achieved through the camera assembly, a welding center point is accurately positioned through an image processing algorithm, the track planning module generates a smooth welding path, and the parameter adjusting module dynamically adjusts welding parameters according to a molten pool image. The synchronous control module receives a production line signal to realize full-process automation of automatic clamping, welding and loosening; efficient and stable laser welding seamlessly integrated with the cable manufacturing process is achieved, and the automation degree, welding precision and product reliability of a production line are improved.

The application belongs to the technical field of laser welding, and particularly relates to a laser wire filling welding device and a laser wire filling welding method. The laser wire filling welding device preheats a welding wire to a predetermined temperature, reduces a temperature threshold span between the welding wire and metal material, changes a temperature field formed by a welding molten pool from violent to gentle, forms regular stirring, avoids excessive free stirring of the molten pool, further reduces metal splashing during welding, and improves welding quality.

The utility model belongs to the technical field of batteries, and discloses a battery shell and a battery cell. The battery shell comprises a cover plate and a shell, the cover plate comprises a body and a lap joint convex part, and the lap joint convex part is convexly arranged at the top of the peripheral side of the body; a containing cavity is formed in the shell and provided with an opening, the cover plate blocks the opening, the lap joint protruding part abuts against the top of the shell, the body is suspended in the containing cavity, the lap joint protruding part is connected with the top of the shell in a welded mode, and the outer edge of the lap joint protruding part is inwards staggered by a preset distance H relative to the outer edge of the side wall of the shell. According to the battery shell and the battery cell provided by the utility model, the outward protruding height of the molten pool can be reduced, and the external dimension of the battery shell is ensured to be within a tolerance range.

The invention belongs to the technical field of laser additive manufacturing process control, and particularly relates to a temperature feedforward control method for a laser additive manufacturing molten pool. Comprising the following steps: step 1, acquiring a surface temperature field of an Nth layer after solidification through a thermal imaging system as an initial state T0; step 2, acquiring a scanning path of an (N + 1) th layer from a CAM system, calculating an equivalent heat dissipation index of each point on the path, and generating an EHDI sequence; 3, inputting the T0 and EHDI sequences into a pre-trained LSTM prediction model, and predicting the dynamic change of the molten pool temperature; and step 4, based on a model prediction path integral control algorithm, optimizing and generating an optimal laser power feed-forward control sequence of N + 1 layers by taking minimization of a cost function including a temperature tracking error, a power change and a power size as a target. According to the method, the path information is quantified into the EHDI sequence, the thermal dynamic state is accurately predicted through the LSTM model, the MPPI controller can'predict 'thermal disturbance before scanning is started, the optimal power scheme is generated, and feedforward accurate control over the temperature of the molten pool is achieved.

The invention discloses a semiconductor equipment framework laser precision welding deformation control method, which relates to the technical field of laser welding, and comprises the following steps: S1, identifying thermophysical parameters of materials on two sides of a welding seam, and executing differential preheating to enable heterogeneous materials to reach a preset initial temperature on a welding initial line; s2, welding is conducted based on the initial temperature, a molten pool and thermal stress distribution are monitored in real time, and a laser mode and energy input are dynamically adjusted; and S3, synchronously starting two-stage cooling according to a monitoring result. According to the laser precision welding deformation control method for the semiconductor equipment framework, a cooperative control system covering the whole welding process is constructed, welding deformation of the semiconductor equipment framework is effectively restrained through systematic regulation and control from the source to the terminal, personalized temperature control is implemented according to material differences in the preheating link, and the welding deformation of the semiconductor equipment framework is effectively restrained. Foundation deformation caused by different thermophysical properties is avoided, intelligent adaptation to complex welding seams is achieved, and thermal stress concentration is reduced.

The invention discloses an online welding defect detection method and device based on molten pool image recognition, and belongs to the technical field of industrial automation and machine vision. The method comprises the steps that a single-frame molten pool image in the welding process is obtained; outputting a defect identification result of each frame of molten pool image through a defect identification model; setting a judgment period, obtaining an identification result of each frame of molten pool image in the judgment period, and performing defect judgment; if the defect exists in the period, triggering an alarm mechanism of the welding equipment, including combining an alarm mark, a defect position starting point, a defect position section, a defect type and confidence into defect information; obtaining production context information corresponding to the judgment period, and binding the production context information with the defect information to generate a structured message; and uploading the structured message to a system end, and carrying out defect reminding and visual display. According to the invention, accurate identification of defects can be realized, data connection between defect identification information and a production management system is broken through, and comprehensive guarantee can be provided for welding operation.

The invention discloses a selective melting light beam dynamic focusing and layered manufacturing cooperative control method and system, and belongs to the field of selective melting additive manufacturing. The method comprises the steps of collecting feature data of a current forming layer; calling a hierarchical feature-focusing parameter mapping library constructed by off-line molten pool simulation; light beam focusing parameters are adjusted in real time; constructing'focusing-scanning-powder laying 'three-parameter closed-loop cooperative control, and synchronously adjusting the other two types if any parameter exceeds a threshold value; molten pool and contour data are collected, and parameters of the next layer are corrected when abnormity occurs. The system comprises a dynamic focusing module, a cooperative control module and a sensing feedback module, and can be additionally provided with a multi-beam cooperation and defect correction subunit. According to the method, focusing and layer feature adaptation are achieved, energy input is stabilized, forming defects are reduced, part performance is guaranteed, forming precision and efficiency are improved, and the method is adaptive to multi-material and complex structural parts.

The invention belongs to the technical field of metal-based composite material additive manufacturing, and particularly relates to ultrasonic-assisted green laser equipment for copper-based diamond cooling fin machining, which comprises a rack, a printing cabin, a green laser machining system, an ultrasonic-assisted system, a powder spreading system, a gas control system, an intelligent control system and an online monitoring system. By integrating a green laser processing system and an ultrasonic auxiliary system, an ultrasonic-green laser-powder multi-energy field coupling processing system is constructed, the wavelength of green laser is 532 nm, the absorption rate of copper is increased, and compared with traditional infrared laser, low-power and high-efficiency melting of copper can be achieved, the diamond graphitization risk is reduced from the angle of a heat source, and the production cost is reduced. Ultrasonic vibration is transmitted to a molten pool through a substrate coupling type structure, by means of the cavitation effect and the acoustic streaming effect, the interface wettability of copper and diamond is effectively improved, the interface bonding force is enhanced, the interface thermal resistance is reduced, meanwhile, grains are refined, pores are eliminated, residual stress is reduced, and the comprehensive performance of the cooling fin is remarkably improved.

The invention discloses a fixed pipeline all-position laser wire filling welding method and system, and relates to the technical field of petroleum and natural gas pipeline welding, the system can be stably clamped on a fixed pipeline, a crawling trolley bears a welding head to perform 360-degree accurate rotation crawling, and high-quality welding is achieved; the structure performance is excellent; welding process parameters can be adaptively adjusted on the basis of different welding position angles, so that the influence of gravity on a welding pool is reduced, the welding quality of a pipeline is guaranteed, and all-position parameter self-adaption and a real-time welding seam tracking technology guarantee that a whole circle of welding seams are formed consistently and are free of defects.

The invention relates to the technical field of laser welding, and provides a pressure vessel barrel laser welding all-position dynamic molten pool monitoring method which comprises the following steps: arranging a laser heat source and monitoring equipment to obtain molten pool temperature data and molten pool form data of a to-be-welded pressure vessel barrel; constructing a thermodynamic constraint based on a heat conduction equation, and training a molten pool monitoring model in combination with temperature data; constructing a hydrodynamic constraint based on a hydrodynamic equation, and fusing morphological data to further optimize the model; a target molten pool monitoring model with physical mechanism consistency is obtained by constructing thermal-fluid coupling physical constraints and combining with strengthening model training; and finally, inputting space-time coordinates of a to-be-measured position to realize inversion of the dynamic state of the molten pool in the all-position welding process. According to the method, multi-physics field constraint and data driving modeling are fused, the generalization ability and robustness of the model under the complex welding posture are improved, and the technical problem that the molten pool state is difficult to accurately monitor in all-position laser welding is effectively solved.

The invention provides a laser cladding pore defect prediction method based on multi-view learning, and aims to solve the problems of single data representation, dynamic evolution information loss and the like in the existing pore prediction process. According to the system, a high-speed camera and a thermal infrared imager are integrated, a laser cladding multi-source monitoring platform is constructed, and molten pool images and temperature field data are collected in real time. Through an image processing and deep learning algorithm, geometric physical features, texture features, image depth features and temperature field features of a molten pool are extracted, and a multi-view heterogeneous feature set is constructed. And combined modeling and feature fusion of multi-view sequence data are realized in combination with a self-attention mechanism based on Vision Transform and a cross-view attention guiding module. Experimental results show that the accuracy of pore defect prediction can be effectively improved, and the method is suitable for online quality monitoring and intelligent control in the laser additive manufacturing process.

The invention discloses a preparation method and application of a low-temperature photovoltaic welding strip, and belongs to the technical field of energy conservation and environmental protection. According to the technical scheme, the method comprises the steps that a metal precursor is dissolved in an alcoholic solution, and a nano reinforced phase is prepared through regulation and control of a surfactant, ultrasonic treatment and aging calcination; the composite solder is prepared through argon smelting according to 1-6 parts of Sn, Bi, Ag, Ni, Cu, Ge, the modified glass powder and the nano reinforced phase; 99.95% electrolytic copper is subjected to vacuum melting and cold rolling to form a copper strip; the surface roughness is controlled through alkali washing degreasing and acid washing micro-etching; immersing the preheated copper strip into a molten pool for plating; and carrying out heat preservation and rosin protection treatment. According to the method, low-temperature welding at the temperature of 150-220 DEG C is achieved, an Ag-Sn intermetallic compound layer is formed after welding, the pull-off strength retention rate of a welding spot is larger than or equal to 80% after 200 times of thermal cycles, and the method is suitable for interconnection of crystalline silicon photovoltaic battery pieces.

The invention provides a laser wire and powder collaborative additive manufacturing paraxial wire feeding equipment fixing device which comprises a fixing mechanism, a rotating mechanism, a wire twisting mechanism and a shielding gas mechanism, the fixing mechanism comprises a laser head and a clamping plate, a powder spray head is arranged at the laser head, and a molten pool for laser fusion of metal wires is arranged below the laser head and the powder spray head; the rotating mechanism comprises a connecting block and a rotating shaft, the connecting block is fixedly connected to one side of the clamping plate, the rotating shaft is rotationally connected with the connecting block, and a rotating shaft sleeve is arranged on the rotating shaft; the wire twisting mechanism comprises a wire feeding pipe, a wire twisting pipe and a wire guiding pipe which are communicated in sequence, the wire twisting pipe is fixedly connected with the rotating shaft sleeve, and a wire twisting cavity is formed in the wire twisting pipe; the protective gas mechanism comprises a cavity block and a connecting pipe, the cavity block is connected with the clamping plate, and the connecting pipe is used for connecting a protective gas bottle. Compared with the prior art, according to the scheme, the contact angle of the powder spray head of metal powder and the metal wire and the melting angle of laser and the metal wire can be adjusted, and then the forming quality of a metal component is guaranteed.

The invention relates to the technical field of material processing, and discloses a nitrogen content dynamic regulation and control process for variable polarity argon arc welding of high-nitrogen steel, which comprises the following steps: adjusting the proportion of nitrogen in shielding gas in real time based on a detection result of a flowing state of a molten pool; dynamically regulating and controlling the variable polarity switching frequency based on the arc stability detection signal; the gas supply delay time is adjusted based on the welding heat input change condition; and current waveform modulation parameters are synchronously optimized based on the penetration change so as to realize uniform distribution of nitrogen elements. According to the nitrogen content dynamic regulation and control process for variable-polarity argon arc welding of the high-nitrogen steel, the nitrogen element requirements of different areas of a molten pool can be accurately matched, and the problem that the local nitrogen content is too high or too low due to uneven convection of the molten pool is solved; meanwhile, current waveform modulation parameters are optimized in combination with fusion depth changes, the solubility stability of nitrogen elements in key areas such as the root of the weld joint can be ensured, the problems that the nitrogen content distribution is not uniform and the solubility of the root fluctuates are solved on the whole, and the nitrogen content of each area of the weld joint is closer to a design value.

The invention discloses a multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system based on an LLM scheduling center. The multi-machine collaborative welding autonomous decision-making and virtual-real closed-loop control system comprises a welding seam real-time sensing module, an intelligent task decomposition and scheduling planning module, a multi-round iteration autonomous decision-making module and an execution and real-time closed-loop control module. Through YOLOv5s, in combination with a coordinate attention mechanism and RGB-D visual perception, welding seam classification and three-dimensional track extraction are achieved; fusing an infrared thermal image and temperature sensing to realize molten pool state identification and temperature field prediction, and generating a Ccontinuous fitting track and a heat balance parameter; task decomposition and collaborative planning are completed based on a knowledge graph and LLM reasoning, and a dynamic optimal scheme is formed through MATLAB optimization and VR simulation multi-round verification; and finally, synchronous welding of multiple mechanical arms is achieved through VR interpolation and TCP / Modbus layered control. A sensing-planning-execution-feedback full-closed-loop heat management framework is constructed, heat input balance and deformation suppression are achieved, and the precision, stability and intelligent level of multi-machine collaborative welding are remarkably improved.

The invention relates to the technical field of laser-electric arc hybrid welding, and discloses a laser-electric arc hybrid welding method and system. According to the method, molten pool vision, plasma spectrum, electric signals and temperature field data are collected in real time through multi-modal sensing, and after depth features are extracted and fused, a quality evaluation model based on Stacking ensemble learning is used for recognizing weld defects and confidence in real time; and when the confidence coefficient is insufficient or a defect tendency is detected, triggering a parameter decision optimized by multiple targets such as fusion depth, strength and the like, generating an adjustment instruction set, and executing dynamic fine adjustment after verification of a process knowledge base. The system correspondingly comprises a pose deviation compensation module, an online quality evaluation module, an optimization decision module, a strategy verification module and a parameter execution module. Intelligent sensing and self-adaptive accurate control in the welding process are achieved, and the welding quality stability and the defect suppression capacity are effectively improved.