Seam tracking and seam finding are two distinct function used in welding automation. While both functions are important for optimizing the efficiency and quality of welding processes, they serve different purposes and rely on different technologies.
Seam finding, also known as seam sensing, is a process of detecting the location and orientation of a seam on a workpiece before the welding process begins. This is typically achieved through the use of sensors and software programs that guide the welding torch to the precise location of the seam. The purpose of seam finding is to ensure that the weld is applied precisely to the joint, which is critical for ensuring the strength and integrity of the weld. In addition, seam finding helps to reduce the likelihood of defects such as undercuts, overfills, and burn-through.
There are several methods of seam finding, including tactile sensing, wire sensing, and laser sensing. Tactile sensing involves physically touching the surface of the workpiece with a wire or nozzle to detect the seam. This method is simple and reliable, but it is slower than other methods and is limited in its ability to detect joint gaps. Wire sensing is similar to tactile sensing, but it uses a servo motor to move the wire up and down rapidly while the robot moves across the workpiece. This method can detect butt joints that are difficult to find with static wire or nozzle touch sensing, but it requires specific hardware and software. Laser sensing is faster than tactile sensing and can detect seams down to 1/16” thick, but it is limited in its ability to detect joint gaps and cannot find square butt joints.
Seam tracking, on the other hand, is a process of following the path of the seam during the welding process. This is accomplished through the use of sensors and software programs that guide the welding torch along the seam in real-time. The purpose of seam tracking is to ensure that the weld is applied precisely to the joint, even if there are variations in the position or shape of the seam. This is important for ensuring that the weld is strong and consistent, even if the workpiece is subject to thermal expansion or other factors that can cause distortion.
There are several methods of seam tracking, including through-arc seam tracking(TAST), laser tracking, and vision tracking. Through-arc seam tracking involves measuring the arc characteristics during the welding process to determine variations between the robot's taught path and the actual seam path. This method is useful for parts with long or curved seams that vary from part to part. Laser tracking uses a laser sensor to follow the seam during the welding process, providing real-time feedback to the robot to ensure that the weld is applied precisely to the joint. Vision tracking uses a camera to capture images of the seam during the welding process, which are then analyzed by software to guide the robot along the seam. This method is useful for parts with complex geometries or when the workpiece is subject to significant distortion.
So far, do you understand the difference between seam tracking and seam search?
If you want to know which function your artifact is suitable for, please click contact us
Related Projects
Seam tracking and seam finding are two distinct function used in welding automation. While both functions are important for optimizing the efficiency and quality of welding processes, they serve different purposes and rely on different technologies.
