With rising raw material and labor costs, the need for automation in manufacturing for rapid production and delivery continues to increase. Due to the existence of smoke, arc light and metal spatter in the welding industry, the working environment is harsh, and it is extremely harmful to the human body. With the strong demand and dependence on welding robots in the international market, the key technologies of welding robots still face the challenge of further upgrading.

Market-Oriented Innovation & Development

HuazhongCNC HNC-RJH605 welding robot adhered to the market orientation at the beginning of research and development, and carried out technology research and development based on user needs. In addition to product research in the laboratory, the HuazhongCNC Robotic Welding R&D team has gone deep into the market and has been stationed at the user site for a long time. HuazhongCNC robot team has been adhering to the purpose of solving the pain point needs of manufacturing users and improving the intelligent industry, sticking to the original intention and focusing on research. We diagnose pain points and analyze needs for customers.

The welding team finally took the software algorithm as a breakthrough and quickly upgraded the process system within two weeks, achieving a breakthrough in the selection of intelligent autonomous swing planes, and the same performance can be achieved without a positioner. It not only meets the needs of users, but also greatly reduces the cost of welding materials for users.

Successfully Overcame the Technical Problems of Welding Robots

The jitter of industrial robots can be said to be a worldwide problem. Among various operational stability problems, jitter is one of the most difficult and common problems. After a long-term exploration and many iterations of reasoning-argument-experiment-feedback, the R&D team continuously researched and analyzed the "jitter" problem of welding robots. From the robot design side, product rigidity is optimized. From the system side, self-developed core components are used to continuously improve the vibration suppression algorithm. From the production side, the assembly quality is strictly guaranteed. In the end, we successfully overcome the jittering problem of the welding robot, and the robot has excellent performance under high-speed and high-precision operation.

In addition to overcoming the industry technical problems such as jitter, process and welding stability, HuazhongCNC insists on creating differentiated product advantages through innovation and solving pain points of users. The HNC-RJH605E has the functions of intelligent early warning and intelligent inspection, which can automatically judge whether the gas of the welding equipment is sufficient, and automatically alarm when the gas is insufficient, so as to prevent the workpiece from being scrapped due to gasless welding and improve the product yield.

Ingenious Quality & High Recognition from Users

Ingenuity and quality are the unremitting pursuit of HuazhongCNC. In the welding production line of an automobile factory, HuazhongCNC has defeated many strong players with high-level technical strength and quality service, and has been successfully recognized by users.

At present, the HNC-RJH605E welding robot has been applied in batches in the national market, providing high-quality arc welding solutions for users in automobiles, motorcycles, construction machinery, general machinery, agricultural machinery, hardware and other industries, with stable and reliable welding quality, greatly reducing the product delivery cycle. Among them, a number of vehicle welding production line demonstration sites have been formed in the motorcycle industry, and high-quality delivery has been achieved from scheme design, fixture design, and robotic welding process debugging.

In the future, HuazhongCNC will establish a welding expert database based on the self-developed big data cloud platform to improve the welding quality of users and make the robot more intelligent. At the same time, it will further reduce the difficulty of using welding robots by combining drag teaching and offline programming. Combined with a new generation of dynamic algorithms, it improves the sensitivity of collision detection and improves the safety of welding robots. Via intelligent and information-based management and other means, it liberates people from high-risk and high-intensity welding operations, and contributes to the high-quality development of intelligent manufacturing.