首页|New Findings in Robotics Described from Tongji University (An Iterative Path Com pensation Method for Double-sided Robotic Roller Forming of Compact Thin-walled Profiles)
New Findings in Robotics Described from Tongji University (An Iterative Path Com pensation Method for Double-sided Robotic Roller Forming of Compact Thin-walled Profiles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "High-precision robotic formi ng of ultrahigh strength materials is challenging due to the significant stiffne ss deformation of industrial robots. In this work, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles." Financial supporters for this research include Science & Technolog y Commission of Shanghai Municipality (STCSM), China Scholarship Council. Our news journalists obtained a quote from the research from Tongji University, "Synchronized laser heating prior to plastic deformation was initially introduce d as a means of reducing the required forming forces. Considering the varying fo rming forces during the compensation of stiffness-deformation-induced path devia tion, an iterative path compensation method was proposed and implemented to enab le continuous adjustments of path compensation values, utilizing a robot stiffne ss model and the correlation between compensation values and forming forces. Res ults show that laser heating has a significant positive effect on reducing sprin gback angle due to the decrease of forming forces, while the path compensation f acilitates the forming of compact thin-walled profiles with sharp bending radii. " According to the news editors, the research concluded: "It is validated that the proposed method for iterative path compensation is conducive to the determinati on of the optimized path compensation values with limited iterations."
ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsTongji University
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