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Indexed by:期刊论文

Date of Publication:2017-11-01

Journal:PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Included Journals:Scopus、SCIE、EI

Volume:231

Issue:22

Page Number:4099-4109

ISSN No.:0954-4062

Key Words:Machining accuracy; thin-walled parts; information-localizing; fiducials; milling

Abstract:A new information-localization strategy for machining large thin-walled parts is presented in this paper. This strategy uses sub-areas and fiducials calibration methods to improve processing precision of large thin-walled parts, which are of poor machinability, low rigidity, and poor deformation coupling. In our experiments, the large thin-walled part is firstly divided into several sub-areas based on the actual state of the workpiece sampled by a binocular vision sensor. And then each divided sub-area is calibrated by the machining benchmark fiducials. Finally, the machining error of each sub-area is automatically compensated based on the measurement results of fiducials in each sub-area by the touch probe. Two verification experiments show that the proposed strategy is feasible and efficient.