首页|Reports from Harbin Institute of Technology Provide New Insights into Robotics ( Interactive Coupling of Structural Dynamics and Milling Forces for High-frequenc y Stability Prediction In Robotic Milling)

Reports from Harbin Institute of Technology Provide New Insights into Robotics ( Interactive Coupling of Structural Dynamics and Milling Forces for High-frequenc y Stability Prediction In Robotic Milling)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Robotics are presented in a new rep ort. According to news reporting originating in Harbin,People's Republic of Chi na,by NewsRx journalists,research stated,"Robotic machining has developed rap idly and has great potential for manufacturing large parts with complex surfaces . However,the machining quality and efficiency are severely limited by the low stiffness of the robots,which causes destructive chatter during manufacturing." Funders for this research include National Natural Science Foundation of China ( NSFC),Guangdong Basic and Applied Basic Research Foundation,Science and Techno logy Innovation Committee of Shenzhen,Shenzhen Peacock Innovation Team Project. The news reporters obtained a quote from the research from the Harbin Institute of Technology,"To suppress this phenomenon,offline stability prediction must b e performed before the actual robotic milling. In this study,a high-frequency s tability prediction algorithm for robotic milling was developed by introducing a n interactive method. A lightweight structural dynamic model of a robot was deve loped based on specially designed decoupling criteria,and an interpolation algo rithm that determines the trajectory of the tool nose was designed to calculate the milling force. By combining the two models,an interactive coupling algorith m was proposed to forecast the vibration in robotic milling. The predicted resul ts can contribute to generating the stability lobe,thereby verifying the stabil ity distribution and spectral characteristics of both the simulated and measured signals."

HarbinPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRoboticsRobotsHarbin Institute of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.29)