| WANG Yu-tao,TANG Qing-chun,ZHOU Ze-xi,LI Guo-qiang.Optimization Algorithm of Tool Axis Vector Interpolation in Five-axis Linkage[J],47(7):90-95 |
| Optimization Algorithm of Tool Axis Vector Interpolation in Five-axis Linkage |
| Received:February 11, 2018 Revised:July 20, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI：10.16490/j.cnki.issn.1001-3660.2018.07.012 |
| KeyWord:linear interpolation tool attitude error nonlinear error optimization algorithm simulation and machining surface quality |
| Author | Institution |
| WANG Yu-tao |
Engineering Training Center, Guangxi University of Science and Technology, Liuzhou , China |
| TANG Qing-chun |
Engineering Training Center, Guangxi University of Science and Technology, Liuzhou , China |
| ZHOU Ze-xi |
Engineering Training Center, Guangxi University of Science and Technology, Liuzhou , China |
| LI Guo-qiang |
Engineering Training Center, Guangxi University of Science and Technology, Liuzhou , China |
|
| Hits: |
| Download times: |
| Abstract: |
| The work aims to solve the problem of tool attitude deviation from designed ideal plane due to machining trajectory of rotary axis angle of the five-axis linkage machine in linearinterpolation mode, reduce nonlinear error and improve surface quality of parts. Principle of tool attitude error caused by linear interpolation mode of rotary axis was analyzed, and an optimization algorithm of tool axis vector interpolation was proposed. Then, based on the proposed algorithm, the tool axis vector interpolation algorithm wasadopted to ensure that the tool axis interpolation vector between the first and last points was always in the plane formed by the first and last tool axis vectors,and the tool attitude optimization was realized. The two modeswere simulated and analyzed in MATLAB, and spatial position of the tool axis interpolation vector in corresponding mode was observed. Finally, simulation and machining verification were carried out on AB turntable pendulum type machine by using blade specimen, and simulation data of the two tool axis vectorinterpolation modes was compared. During simulation under the same VERICUT conditions, error value on the side of blade inlet and outlet was -0.218 66 mm and -0.312 58 mm, respectively when linear interpolation was applied to the tool axis vector, error values on the side of inlet and outlet was -0.095 46 mm and -0.099 05 mm, respectively after error blade cutter axis vector interpolation was optimized. After the tool attitudewas optimizedby interpolation algorithm, overcut value on the side of blade inlet and outlet was obviously reduced. As soon as tool attitude is optimized by interpolation algorithm, both size and number of overcut value of the blade decrease obviously, which significantly reduces nonlinear error and thus improves surface quality of parts. |
| Close |
|
|
|