Robotics & Machine Learning Daily News2024,Issue(Apr.3) :102-102.

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)

Robotics & Machine Learning Daily News2024,Issue(Apr.3) :102-102.

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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Abstract

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."

Key words

Shanghai/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robotics/Robots/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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