首页|Research Data from Beijing University of Technology Update Un- derstanding of Robotics (Digital Twin Virtual Welding Approach of Robotic Friction Stir Welding Based on Co-Simulation of FEA Model and Robotic Model)
Research Data from Beijing University of Technology Update Un- derstanding of Robotics (Digital Twin Virtual Welding Approach of Robotic Friction Stir Welding Based on Co-Simulation of FEA Model and Robotic Model)
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2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on robotics. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Robotic friction stir welding has become an important research direction in friction stir welding technology.” Funders for this research include National Key Research And Development Program of China; “qihang Programme” For The Faculty of Materials And Manufacturing, Bjut. The news editors obtained a quote from the research from Beijing University of Technology: “However, the low stiffness of serial industrial robots leads to substantial, difficult-to-measure end-effector deviations under the welding forces during the friction stir welding process, impacting the welding quality. To more effectively measure the deviations in the end-effector, this study introduces a digital twin model based on the five-dimensional digital twin theory. The model obtains the current data of the robot and six-axis force sensor and calculates the real-time end deviations using the robot model. Based on this, a virtual welding model was realized by integrating the FEA model with the digital twin model using a co-simulation approach. This model achieves pre-process simulation by iteratively cycling through the simulated force from the FEA model and the end displacement from the robot model.”
Beijing University of TechnologyBeijingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsRobots
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