Dynamic Simulation of the Six Axis Machining ...
Document type :
Communication dans un congrès avec actes
Title :
Dynamic Simulation of the Six Axis Machining Robot for Trajectory Planning in CATIA-LMS
Author(s) :
Luo, Yi [Auteur]
Beihang University [BUAA]
Gibaru, Olivier [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Non-Asymptotic estimation for online systems [NON-A]
Olabi, Adel [Auteur]
Laboratoire de Métrologie et de Mathématiques Appliquées [L2MA]
Beihang University [BUAA]
Gibaru, Olivier [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Non-Asymptotic estimation for online systems [NON-A]
Olabi, Adel [Auteur]
Laboratoire de Métrologie et de Mathématiques Appliquées [L2MA]
Scientific editor(s) :
Applied Mechanics and Materials
Conference title :
9th International Conference on History of Mechanical Technology and Mechanical Design
City :
Tainan
Country :
Taïwan
Start date of the conference :
2012-03-23
Journal title :
74
Publication date :
2012-04-12
HAL domain(s) :
Informatique [cs]
English abstract : [en]
Nowadays six axis machining robots are widely used in many fields of industry. Compared to machine tools, industrial robots offer a cheaper yet more flexible alternative to the machine-tools in the cleaning and pre-machining ...
Show more >Nowadays six axis machining robots are widely used in many fields of industry. Compared to machine tools, industrial robots offer a cheaper yet more flexible alternative to the machine-tools in the cleaning and pre-machining applications of aluminum castings. But the low stiffness has limited the application of industrial robots to the machining tasks with very low precision requirement. This paper presents a practical approach to improve the robot-machining accuracy by developing an off -line simulation tool. Firstly we will complete the dynamic simulation of the 6-axis stiff model in CATIA-LMS for trajectory planning. Secondly we will set flexible joints and balancing system for the industry machining robot in LMS. Finally we will make some compare with the position trajectories generated by flexible joint and stiff joint, and then adjust the parameters under the references of the simulation result before the industry machining.Show less >
Show more >Nowadays six axis machining robots are widely used in many fields of industry. Compared to machine tools, industrial robots offer a cheaper yet more flexible alternative to the machine-tools in the cleaning and pre-machining applications of aluminum castings. But the low stiffness has limited the application of industrial robots to the machining tasks with very low precision requirement. This paper presents a practical approach to improve the robot-machining accuracy by developing an off -line simulation tool. Firstly we will complete the dynamic simulation of the 6-axis stiff model in CATIA-LMS for trajectory planning. Secondly we will set flexible joints and balancing system for the industry machining robot in LMS. Finally we will make some compare with the position trajectories generated by flexible joint and stiff joint, and then adjust the parameters under the references of the simulation result before the industry machining.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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