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Profile and thickness constrained adaptive localization for manufacturing curved thin-walled parts based on on-machine measurement.

Authors :
Zhao, Zhengcai
Xu, Taorui
Li, Yao
Fu, Yucan
Source :
International Journal of Advanced Manufacturing Technology. Sep2020, Vol. 110 Issue 1/2, p113-123. 11p. 13 Diagrams.
Publication Year :
2020

Abstract

Localization plays an important role in manufacturing the curved thin-walled parts, which can determine the distribution of machining allowance and has great influence on the manufacturing accuracy. The registration algorithm is the most efficient way to locate the billet in the machining coordinate system of the machine tool by computing a transformation matrix. However, the localization of the curved thin-walled parts is complicated and challenging since the billets are individual, the shape and location of which are unknown. This paper attempts to develop an adaptive localization approach with the constraints of the profile and thickness based on on-machine measured data. The framework for constrained adaptive localization approach is illustrated, in which on-machine measurement, registration, isometric mapping and allowance optimization are involved. The details of the on-machine measurement for both the profile inspection and the thickness measurement are presented. An isometric mapping method is employed to build the separate point pairs between the measured points and the nominal shape of the part. A constrained optimization algorithm for the machining allowance is performed iteratively until meeting the constraints of the profile and thickness tolerance ranges. Finally, a case study of constrained adaptive localization was carried out, the results of which confirm the validity of the proposed approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
110
Issue :
1/2
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
145271821
Full Text :
https://doi.org/10.1007/s00170-020-05860-3