Research on Trajectory Planning of 6-DOF Cutting-robot in Machining Complex Surface

It is important and difficult for the complicated surface processing in mechanical industry. In this paper, an improved algorithm for trajectory planning is proposed in impeller surface processing by using 6-DOF cutting-robot. Taking a single finished path of the impeller blade as an example, the feedrate of the cutter, bow height error, cutterorientation and position are planned by the B-spline interpolation algorithm, the best cutting trajectory is obtained. On the basis of trajectory planning, the optimal movement scheme of 6-DOF cutting-robot joints is obtained, the 6-DOF cutting-robot feedrate and trajectory smooth transition is achieved and the joints movement adaptive adjustment is completed. Finally, the angles, the angular velocitys of the joints and their interrelated properties are analyzed. The research works indicate that the robot joint angle curves are continuous and stable, which has met the requirements of smooth movement of the robot, and the results show that the trajectory planning is effective and practical.

[1]  Yuwen Sun,et al.  A novel adaptive-feedrate interpolation method for NURBS tool path with drive constraints , 2014 .

[2]  Vladislav Singule,et al.  Assessment of industrial robots accuracy in relation to accuracy improvement in machining processes , 2016, 2016 IEEE International Power Electronics and Motion Control Conference (PEMC).

[3]  Sylvain Lavernhe,et al.  Dynamic approach of the feedrate interpolation for trajectory planning process in multi-axis machining , 2017 .

[4]  Pedro Sanz Robotics: Modeling, Planning, and Control (Siciliano, B. et al; 2009) [On the Shelf] , 2009, IEEE Robotics & Automation Magazine.

[5]  Peter I. Corke Robotics, Vision and Control - Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition, Second Edition , 2017, Springer Tracts in Advanced Robotics.

[6]  Anna Valente,et al.  Trajectory Planning for Reconfigurable Industrial Robots Designed to Operate in a High Precision Manufacturing Industry , 2016 .

[7]  Dong Lei,et al.  Effects of residual riblets of impeller's hub surface on aerodynamic performance of centrifugal compressors , 2015 .

[8]  Zhengmao Ye,et al.  Kinematic analysis and simulation of 6-DOF industrial robot capable of picking up die-casting products , 2016, 2016 IEEE International Conference on Aircraft Utility Systems (AUS).

[9]  Hermes Giberti,et al.  A path planning algorithm for industrial processes under velocity constraints with an application to additive manufacturing , 2017 .

[10]  Han Ding,et al.  Posture optimization methodology of 6R industrial robots for machining using performance evaluation indexes , 2017 .

[11]  Zhi Jian Gou,et al.  The Trajectory Planning and Simulation for Industrial Robot Based on Fifth-Order B-Splines , 2014 .

[12]  Chih-Cheng Hung,et al.  Contour propagation using non-uniform cubic B-splines for lung tumor delineation in 4D-CT , 2016, International Journal of Computer Assisted Radiology and Surgery.

[13]  Ridha Kelaiaia,et al.  Improving the pose accuracy of the Delta robot in machining operations , 2017 .

[14]  Miguel Ángel Sebastián,et al.  Overview of the State of Robotic Machining: Current Situation and Future Potential , 2015 .

[15]  Shi Buhai,et al.  The robot motion trajectory algorithm research based on B-spline and new velocity planning , 2016, 2016 Chinese Control and Decision Conference (CCDC).

[16]  Hui Li,et al.  Realization of a 5-axis NURBS Interpolation with Controlled Angular Velocity , 2012 .

[17]  Zhifeng Liu,et al.  An approach of comprehensive error modeling and accuracy allocation for the improvement of reliability and optimization of cost of a multi-axis NC machine tool , 2017 .

[18]  Shengqian Li,et al.  Research on Robotic Trajectory Automatic Generation Method for Complex Surface Grinding and Polishing , 2014, ICIRA.

[19]  Emanuele Carpanzano,et al.  Smooth trajectory generation for industrial robots performing high precision assembly processes , 2017 .

[20]  Nianfeng Wang,et al.  Trajectory Planning with Bezier Curve in Cartesian Space for Industrial Gluing Robot , 2014, ICIRA.

[21]  Jingyan Dong,et al.  Feedrate optimization for smooth minimum-time trajectory generation with higher order constraints , 2016 .

[22]  Olivier Gibaru,et al.  Feedrate planning for machining with industrial six-axis robots , 2010 .