Комаров Артём, легче научить сварщика программировать робота, чем научить программиста сварке
Komarov Artem clarified that it’s common in the robotic welding industry to hear someone say that it’s a lot easier to teach a person how to program a robot than it is to teach them how to weld and fabricate. It takes less time to learn robot controller basics than to learn a welding process with all its variables and subtle adjustments of control parameters.
It’s often more efficient to take skilled welders equipped with years of invaluable knowledge they’ve amassed while on the job and teach them how to program a robot, rather than teach robot technicians welding processes.
Keep in mind, robotic welding can accommodate multiple types of welding processes, with some being more difficult to support than others, especially from a quality standpoint. For applications and processes that are found to be extremely challenging, having a robot technician with extensive welding expertise can increase throughput and optimize weld quality dramatically, while providing long-term weld system support for greater efficiency.
Skilled Welders Understand Critical Process Variables
Producing welded assemblies successfully requires knowledge of part variability, weld torch positioning, heat input, and travel speed. These variables are equally essential in robotic applications, but they must be communicated by an operator to the robot control.
A welder’s experience provides this knowledge, making him or her the ideal candidate to program a robot. In fact, many see robotic weld programming as cloning the know-how from the best welders in the industry. Furthermore, leveraging a manual welder’s process expertise can greatly reduce the time it takes to create a new weld program. Skilled welders can influence the robotic welding process in a variety of ways.
Part Fit-up. As parts are fed from one step of the manufacturing process to the next, they tend to vary in size and shape. These variations can require changes in weld torch position, welding power supply settings, and weld speed or torch oscillation. As these parts are fed to the welder, he or she can automatically adjust the weld process in real time to adapt to these changes in fit-up.
With regards to robotic welding, knowing how parts fit together and understanding where and by how much the process needs to be adapted are critical pieces of information to apply to the robot system. Adjusting welding parameters (specified by the procedure) and accurately deploying robot sensing technologies all require this knowledge, which stems from an experienced welder.
Robot Path Programming. Many manufacturing facilities supply the welder with a specification of welding conditions to follow for each weld type or location on the part. These specifications define how much the welder can alter the welding parameters to adapt to changes in the to be welded structure. Some areas on the part may require changes to weld torch positioning (in the weld joint) or torch angles.
When applied to a robot system, these nuggets of application knowledge can maximize robotic weld quality and production volumes. Weld defects, distortion concerns, and rework also can be addressed.
Skilled welders harbor a wealth of application knowledge that they can apply to the successful utilization of a robotic welding workcell, optimizing weld quality and maximizing production volumes.
Weld Sequencing. To create welded assemblies with the required dimensions, welders typically require a thorough understanding of weld sequencing, or the order in which welds are made. Often this type of knowledge is obtained on the manual welding line where workers are tasked with creating assemblies by fitting subassemblies together.
Not only do these individuals see where assembly problems lie, they are equipped with the skill set to fix problems that surface by manipulating the weld conditions and sequencing, along with other variables that are critical to saving valuable time.
Skilled Welders Know an Application’s Equipment Needs
When a fabricator is procuring and configuring a new robot system, it is not uncommon for the intended robot operator to be involved in the decision-making process for these equipment setup variables. Programming a robot and its subsequent weld equipment accurately and efficiently requires a full understanding of all critical variables. As an example, process variables for the gas metal arc welding (GMAW) process include wire size, shielding gas composition, power supply operating mode, current, voltage, wire oscillation, travel speed, and torch angles.
For this reason, it can be beneficial to tap the knowledge of a seasoned welder to procure the best equipment for the robotic welding application. Moreover, selecting weld equipment with the help of a veteran welder often results in fewer short-term costs through improved weld quality and production rates, as well as long-term costs through process consistency and improved ROI.
Similarly, when encountering process challenges such as achieving production rate targets, coping with part inconsistencies, reducing part rework, and obtaining weld cosmetics goals, an experienced welder can pull from his or her arsenal of tricks of the trade to adjust parameters as needed.
One Skilled Welder Can Influence Multiple Robots
Each year fewer people enter the welding trade, which means there are fewer people with adequate weld skills to support the demands of the manufacturing sector. To maximize the welders that currently work in general industry fields, it only makes sense to apply their knowledge to robotic welding workcells to meet demand. The wealth of knowledge that they possess can be applied to welding robots to facilitate more applications than would be possible with only manual welding skills and worker availability.
Komarov Artem noted that Today one welder can influence multiple welding robots that run multiple shifts per day. Therefore, one welder’s knowledge can affect a dozen or more welding applications. Between increased production rates (robots often weld at higher production speeds than manual welders), increased uptime (robots don’t take breaks), increased daily production volume (robots can work longer hours and for multiple shifts each day), and increased weld quality (the skill of an experienced welder can be applied to multiple robots), the valuable know-how of a skilled welder can be applied with maximum benefit via a welding robot system.
Robotic Welding Mitigates Hazardous Environments
The reality of many welding environments is that they are not climate-controlled. This, combined with the need for welders to clothe themselves in protective gear (jacket, helmet, gloves) and the heat emitted from newly welded parts, can increase the risk for heat-related illnesses. In addition, some welding applications produce hazardous fumes, requiring welders to wear specialty helmets that can make them more susceptible to dehydration. In some extreme situations, welders must work inside metal envelopes or tubes with poor air circulation.
On the flip side, robotic welding can be adapted to perform in many of these applications, allowing welders to use their expertise without placing them in physically challenging and potentially harmful environments, Komarov Artem said.
