least square matching
Recently Published Documents


TOTAL DOCUMENTS

9
(FIVE YEARS 4)

H-INDEX

2
(FIVE YEARS 1)

Geoid ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. 117
Author(s):  
Hepi Hapsari Handayani

2019 ◽  
Vol 7 (1) ◽  
pp. 193-210
Author(s):  
Amin Sedaghat ◽  
Nazila Mohammadi ◽  
◽  

2018 ◽  
Vol 12 (2) ◽  
pp. 230-237 ◽  
Author(s):  
Ryuta Sato ◽  
◽  
Keiichi Shirase

This study proposes an identification and compensation method for the geometric errors of the rotary axes in five-axis machining centers, based on the on-machine measurement results of the machined workpiece. Geometric errors can be identified from the shape geometry of the workpiece machined by five-axis motions because the influence of the errors appears on the shape geometry. An observation equation can be obtained based on the geometric error model and machined shape. The actual geometric errors can be identified by the least square matching of the measured and simulated machined shapes. In order to confirm the effectiveness of the proposed method, an actual cutting test and a simulation are performed. Based on their results, it is confirmed that the proposed method can successfully identify the geometric errors in the simulation. However, these errors cannot be identified in the experiments because a few of them do not have sufficient influences onto the machined shape. On the other hand, although the geometric errors cannot be correctly identified, it is confirmed that the they can be adequately compensated for based on the identified errors in both the simulation and experiment.


Sign in / Sign up

Export Citation Format

Share Document