I. Welding Robot Process Parameters
1. Body weight: The body weight of automatic welding robots varies depending on their specifications.
2. Repeatability: This reflects the welding precision maintained by the automated welding robot during repetitive actions. A high-quality automated welding robot can maintain welding precision without deviation. Repeatability is even more important for arc welding and cutting robots. For arc welding and cutting robots, the track repeatability should be less than 1/2 of the welding wire diameter or the cutting tool hole diameter, typically requiring ±0.1mm or less. The Jin Hongying series welding robots can achieve a repeatability of ±0.08mm.
3. Number of joints: This refers to the number of axes of an automated welding robot. Different numbers of axes result in different levels of flexibility. Automated welding robots with more joints are generally more flexible, can weld a wider range of workpiece specifications, and have a wider range of welding applications. Generally, a robot's workspace can achieve three degrees of freedom, but welding requires not only reaching a specific position in space but also ensuring the spatial posture of the welding torch. Welding robots typically use a six-axis design, while arc welding and cutting robots generally have five axes or more.
4. Memory Capacity: Memory capacity refers to the storage capacity of the computer's main computer in the robot controller. This reflects the length of the teach programs the robot can store and is related to the complexity of the workpieces it can process. It is usually represented by the coefficient of robot instructions that can be stored, the total number of bytes stored, and the number of teach points. The teach programs of automatic welding robots are stored in memory. If the memory capacity is large, more teach programs can be set, and the complexity of the welded workpieces and the number of weld points can also be increased.
II. How to solve welding defects in welding robots
Through the above introduction, you should now have a basic understanding of welding robot process parameters. In this section, we will mainly discuss how to solve welding defects caused by welding robots.
Will welding robots produce welding defects? Can these defects be resolved? The welding industry has seized the trend of the times and combined computer technology, artificial intelligence, and communication technology to achieve rapid development in various fields. Traditional welding is easily affected by the subjective consciousness of workers during the welding process, which can easily lead to welding defects. Welding robots may also produce welding defects as the usage time increases and due to human error. This article will guide you through the possible welding defects and their solutions.
Common welding defects in welding robots:
The causes of welding defects can be divided into robot-related factors and human factors. Robot-related factors mainly include excessive service life, loose robot axes, and incorrect installation. Human factors include operator errors and programming mistakes. Welding defects that occur during the welding process mainly include weld misalignment, weld beads, porosity, and weld spatter.
Welding robots prevent welding defects:
Welding robot technology is constantly developing and maturing, among which automatic weld seam tracking technology and sensing technology can effectively prevent welding defects. Automatic weld seam tracking technology intelligently identifies weld seam specifications, controls the system to issue instructions, and the actuator can place just the right amount of welding material to fill the weld seam, ensuring the integrity, aesthetics, and strength of the weld seam.
Sensing technology can monitor the welding process in real time. Personnel can detect the welding process through sensors, and an alarm can be triggered in real time if welding defects occur. Operators can press the emergency stop button through the teach pendant to stop the loss in time, correct welding parameters or check and maintain the welding robot, and then resume normal work.
Pre-welding debugging is necessary. Before mass production, the welding robot needs to be debugged to observe the weld quality and the operation of each axis of the welding robot. Mass production can only begin after the debugging is completed. This can effectively prevent welding defects.
