首页|Researchers from Polytechnic University Milan Detail New Studies and Findings in the Area of Robotics (Seam Tracking and Gap Bridging During Robotic Laser Beam Welding Via Grayscale Imaging and Wobbling)
Researchers from Polytechnic University Milan Detail New Studies and Findings in the Area of Robotics (Seam Tracking and Gap Bridging During Robotic Laser Beam Welding Via Grayscale Imaging and Wobbling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news originating from Milan, Italy, by NewsRx corresponden ts, research stated, "The use of laser beam welding with robotic manipulators is expanding towards wider industrial applications as the system availability incr eases with reduced capital costs. Conventionally, laser welding requires high po sitioning and coupling accuracy." Financial support for this research came from BLM Adige. Our news journalists obtained a quote from the research from Polytechnic Univers ity Milan, "Due to the variability in the part geometry and positioning, as well as the thermal deformation that may occur during the process, joint position an d fit-up are not always acceptable nor predictable a-priori if simple fixtures a re used. This makes the passage from virtual CAD/CAM environment to real product ion site not trivial, limiting applications where short part preparations are a need like small-batch productions. Solutions that render the laser welding opera tions feasible for production series with non-stringent tolerances are required to serve a wider range of industrial applications. Such solutions should be able to track the seam as well as tolerating variable gaps formed between the parts to be joined. In this work, an online correction for robot trajectory based on a greyscale coaxial vision system with external illumination and an adaptive wobb ling strategy are proposed as means to increase the overall flexibility of a man ufacturing plant. The underlying vision algorithm and control architectures are presented; the robustness of the system to poor illumination conditions and vari able reflection conditions is also discussed. The developed solution employed tw o control loops: the first is able to change the robot pose to follow varying tr ajectories; the second, able to vary the amplitude of circular wobbling as a fun ction of the gap formed in butt-joint welds. Demonstrator cases on butt-joint we lds with AISI 301 stainless steel with increased complexity were used to test th e efficacy of the solution. The system was successfully tested on 2 mm thick, pl anar stainless-steel sheets at a maximum welding speed of 25 mm/s and yielded a maximum positioning and yaw-orientation errors of respectively 0.325 mm and 4.5 degrees. Continuous welds could be achieved with up to 1 mm gaps and variable se am position with the developed control method."
MilanItalyEuropeEmerging Technolog iesMachine LearningRobotRoboticsRobotsPolytechnic University Milan
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