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China, Chinese 6-Axis Robot Welding System with 620mm Arm and 3kg Payload, Customizable Automatic MIG Welder1 Industrial Products Supplier Manufacturer Details, price list catalog:
China Industrial Products Supplier Manufacturer List Catalog
Welding RobotCustomizable Automatic MIG WelderCollaborative Welding RobotWelding Cobot
Taiyuan Jin Tai Technology Co,.Ltd
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Product Description Collaborative Welding Robots: Becoming the Core Entry Point for Digital Transformation in Manufacturing WeldingIn the wave of manufacturing digital transformation, the welding link has long been a "data desert" and a "process black box" for many enterprises. Traditional manual welding relies entirely on human experience, with no systematic collection of key data such as welding parameters, time, and quality; even if some enterprises adopt traditional robotic welding automation, the data generated by the robot is often stored locally, unable to connect with the enterprise's overall digital system (such as MES, ERP). This makes it impossible for enterprises to achieve end-to-end digital management of the welding process-they cannot accurately calculate the cost of each weld, cannot trace the root cause of quality problems, and cannot make data-driven production decisions. However, the collaborative welding robot (or welding cobot) has broken this situation, redefining human-robot collaboration welding to turn the welding link from a "digital isolated island" into a "data hub". It not only generates rich welding data in real time but also integrates with the enterprise's digital system to become the core entry point for the digital transformation of the welding link.The collaborative welding robot's real-time data collection capability lays the foundation for the digitalization of the welding process. Unlike manual welding, where data is almost impossible to track, welding cobots can record every detail of the welding process with high precision: welding current (accurate to 0.1A), voltage (0.1V), wire feed speed (0.1mm/s), welding time (0.1s), torch position coordinates, and even the temperature of the weld pool. These data are not just simple numbers-they are the "digital twin" of the welding process, which can truly reflect the actual situation of each weld. In human-robot collaboration welding scenarios, the robot can also record the intervention behavior of human operators (such as when and which parameters were adjusted), forming a complete "human-machine collaboration data chain". For example, a manufacturer of automotive suspension parts uses collaborative welding robots to weld control arms. Each robot generates 500+ data points per weld, and these data are automatically uploaded to the enterprise's cloud platform. Through analyzing the data, the enterprise found that the welding time of a certain type of control arm could be reduced by 10% by slightly adjusting the wire feed speed-this optimization alone saved the enterprise $200,000 in annual production costs. Without the real-time data collection of the collaborative welding robot, this potential for optimization would have been completely hidden.The Cobot Welding System further realizes the integration of welding data with the enterprise's digital system, breaking the "data barrier" between the welding link and other business links. A modern Cobot Welding System is equipped with open communication interfaces (supporting protocols such as OPC UA and MQTT), which can seamlessly connect with the enterprise's manufacturing execution system (MES), enterprise resource planning (ERP), and quality management system (QMS). When an order is generated in the ERP system, the production task is automatically assigned to the Cobot Welding System through the MES system, and the system calls up the corresponding welding program and process parameters; during the welding process, the real-time production data (such as the number of completed welds, defect rate) is fed back to the MES system to update the production schedule; after the welding is completed, the quality data (such as weld size, defect type) is automatically pushed to the QMS system to form a quality traceability report. This end-to-end data flow is a fundamental change from the traditional welding robotics system, which often operates independently of other systems. A medium-sized metal processing enterprise in Shanghai applied this integrated solution: after the Cobot Welding System was connected to the ERP and MES systems, the time from order receipt to production start was shortened from 2 days to 2 hours, and the order delivery rate increased from 85% to 98%. The enterprise's managers can also view the real-time operation status of all collaborative welding robots and the completion of production tasks through the MES system's dashboard, realizing "transparent management" of the welding workshop.For large-scale manufacturing enterprises with multiple welding workshops or even global production bases, the Industrial welding cobot is the key to realizing the "global unified digital management" of the welding link. Industrial welding cobots can upload their welding data to the enterprise's global cloud platform in real time, regardless of their location (whether in a factory in China, Germany, or the United States). This allows the headquarters to monitor the welding production status of all bases in real time, compare the production efficiency and quality levels of different bases, and promote the best practices across the globe. For example, a German multinational automotive parts supplier has Industrial welding cobots in 12 factories around the world. Through the global cloud platform, the headquarters found that the defect rate of the welding workshop in its Chinese factory was 30% lower than that of other factories. After analyzing the data, it was found that the Chinese factory had optimized the welding parameters for high-strength steel. The headquarters quickly promoted this set of parameters to other factories through the platform, and the global average defect rate of the enterprise dropped by 25%. In addition, the Industrial welding cobot's data storage capacity (supporting 10+ years of historical data storage) provides a data foundation for the enterprise's long-term process optimization and product development-engineers can trace the welding data of any product even years later, which is crucial for industries with long product life cycles (such as aerospace and heavy machinery).The Collaborative Welding Cell integrates the welding robotics system with digital analysis and decision-making tools to create a "digital welding workshop" that can realize self-optimization and intelligent decision-making. A Collaborative Welding Cell includes not only the collaborative welding robot but also a data analysis module and an intelligent decision-making module. The data analysis module uses machine learning algorithms to mine the hidden rules in the welding data-for example, it can identify the correlation between ambient temperature and weld porosity, and predict the possible defect rate under different temperature conditions. The intelligent decision-making module can automatically adjust the welding process parameters according to the prediction results-if the analysis shows that the ambient temperature will drop below 10°C tomorrow, which may increase the cold crack rate of the weld, the module will automatically increase the preheating temperature parameter in the welding program. For a manufacturer of wind turbine blades, this intelligent optimization has achieved remarkable results: the Collaborative Welding Cell can automatically adjust the welding parameters according to the real-time wind speed and temperature in the workshop, ensuring that the defect rate remains below 1% even when the external environment changes greatly. The cell's digital dashboard also provides data-driven decision support for managers-for example, it can recommend whether to add a collaborative welding robot based on the historical order volume and production efficiency data, helping enterprises make scientific investment decisions.Advances in welding automation technology are the core driving force for the collaborative welding robot to become the entry point for digital transformation. The application of artificial intelligence technology enables the robot to have "data analysis capabilities"-it can not only collect data but also analyze and use data independently. The development of 5G technology ensures the real-time transmission of large amounts of welding data, even in factories with large areas or complex environments. The popularization of digital twin technology allows enterprises to build a virtual welding workshop that is consistent with the physical workshop based on the data collected by the collaborative welding robot. Managers can simulate different production plans and process optimizations in the virtual workshop, and then apply the optimal solution to the physical workshop-this not only reduces the risk of trial and error but also greatly improves the efficiency of digital transformation.As a core component of automated welding solutions, collaborative welding robots are not just tools for improving welding efficiency and quality-they are the "digital pioneers" of the welding link. They turn the intangible welding process into tangible digital data, turn the isolated welding workshop into a connected digital node, and turn the experience-driven management model into a data-driven one. For enterprises, this means realizing the true digital transformation of the welding link, improving operational efficiency, reducing costs, and enhancing market competitiveness; for the entire manufacturing industry, this means promoting the digital upgrade of the entire industrial chain with the digitalization of the welding link, and accelerating the arrival of the intelligent manufacturing era.In conclusion, collaborative welding robots have become the core entry point for the digital transformation of the manufacturing welding link. Through human-robot collaboration welding, they collect complete human-machine collaboration data; via the Cobot Welding System, they realize the integration of welding data with enterprise digital systems; with the Industrial welding cobot, they achieve global unified digital management; in the Collaborative Welding Cell, they realize intelligent optimization and decision-making; and relying on welding automation technology, they continuously enhance the digital capabilities of the welding link. For any enterprise that wants to seize the opportunity of digital transformation and gain a competitive advantage in the intelligent manufacturing era, investing in collaborative welding robots is the most practical and effective starting point. The digital future of the welding link has arrived, and collaborative welding robots are leading the way.The manufacture of this series of welding machines complies with the standard GB15579.1-2004 "Arc welding equipment part 1: welding power supply". The MIG-P series inverter pulse MIG/MAG arc welding machine has two welding modes: P-MIG and conventional MIG.The P-MIG welding mode can achieve carbon steel and stainless steel.For the welding of non-ferrous metals, the MIG welding mode can achieve low spatter welding of carbon steel and CO2 gas shielded welding.The performance characteristics are as follows:Fully digital control system to achieve precise control of the welding process and stable arc length.Fully digital wire feeding control system, accurate and stable wire feeding.The system has a built-in welding expert database and automatic intelligent parameter combination.Friendly operation interface, unified adjustment method, easy to master.Minimal welding spatter and beautiful weld formation.100 sets of welding programs can be stored to save operation time.The special four-step function is suitable for welding metals with good thermal conductivity, and the welding quality is perfect when starting and ending the arc.It has various interfaces for connecting with welding robots and welding machines (optional). PWM inverter technology can improve the reliability of the whole machine, high precision, energy saving and power saving.Precautions for use(1) The equipment number plate should be riveted at the specified position on the upper cover of the casing, otherwise the internal components will be damaged.(2) The connection between the welding cable and the welding machine output socket must be tight and reliable. Otherwise, the socket will burn out and cause instability during welding.(3) Avoid contact between the welding cable and metal objects on the ground to prevent short circuit of the welding machine output.(4) Avoid damage and disconnection of the welding cable and control cable.(5) Avoid deformation of the welding machine by impact and do not pile heavy objects on the welding machine.(6) Ensure smooth ventilation.(7) When used outdoors, the welding machine should be covered in rainy and snowy weather, but ventilation should not be hindered.(8) The maximum cooling water temperature should not exceed 30oC, and the minimum should not be frozen. The cooling water must be clean and free of impurities, otherwise it will block the cooling water circuit and burn the welding gun.2. Regular inspection and maintenance of the welding machine(1) Professional maintenance personnel should use compressed air to remove dust from the welding power supply once every 3 to 6 months, and pay attention to check whether there are loose fasteners in the machine.(2) Check the cable for damage, the adjustment knob for looseness, and the components on the panel for damage.(3) The conductive nozzle and wire feed wheel should be replaced in time, and the wire feed hose should be cleaned frequently.3. Welding machine faults and troubleshootingBefore repairing the welding machine, the following checks should be performed:(1) Whether the status and welding specification display on the front panel of the welding machine are correct, and whether the buttons and knobs are working properly.(2) Whether the line voltage of the three-phase power supply is within the range of 340V~420V; whether there is a phase loss.(3) Whether the connection of the welding machine power input cable is correct and reliable.(4) Whether the grounding wire connection of the welding machine is correct and reliable.(5) Whether the welding cable connection is correct and the contact is good.(6) Whether the gas circuit is good, and whether the gas regulator or proportioner is normal.
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