Dynamic Simulation of the Six Axis Machining ...
Type de document :
Communication dans un congrès avec actes
Titre :
Dynamic Simulation of the Six Axis Machining Robot for Trajectory Planning in CATIA-LMS
Auteur(s) :
Luo, Yi [Auteur]
Gibaru, Olivier [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Olabi, Adel [Auteur]
Laboratoire de Métrologie et de Mathématiques Appliquées [L2MA]
Gibaru, Olivier [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Olabi, Adel [Auteur]
Laboratoire de Métrologie et de Mathématiques Appliquées [L2MA]
Éditeur(s) ou directeur(s) scientifique(s) :
Applied Mechanics and Materials
Titre de la manifestation scientifique :
9th International Conference on History of Mechanical Technology and Mechanical Design
Ville :
Tainan
Pays :
Taïwan
Date de début de la manifestation scientifique :
2012-03-23
Titre de la revue :
74
Date de publication :
2012-04-12
Discipline(s) HAL :
Informatique [cs]
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :