Skip navigation

Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts

Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts

Li, Yingguang, Liu, Changqing, Hao, Xiaozhong, Gao, James X. ORCID: 0000-0001-5625-3654 and Maropoulos, Paul G. (2015) Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts. CIRP Annals - Manufacturing Technology, 64 (1). pp. 173-176. ISSN 0007-8506 (doi:https://doi.org/10.1016/j.cirp.2015.04.025)

[img] PDF (Publisher PDF)
13534_Gao_Responsive fixture design (pub PDF) 2015.pdf - Published Version
Restricted to Registered users only

Download (1MB)

Abstract

When machining a large-scale aerospace part, the part is normally located and clamped firmly until a set of features are machined. When the part is released, its size and shape may deform beyond the tolerance limits due to stress release. This paper presents the design of a new fixing method and flexible fixtures that would automatically respond to workpiece deformation during machining. Deformation is inspected and monitored on-line, and part location and orientation can be adjusted timely to ensure follow-up operations are carried out under low stress and with respect to the related datum defined in the design models.

Item Type: Article
Uncontrolled Keywords: computer aided design (CAD), in-process measurement, precision machining
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty / Department / Research Group: Faculty of Engineering & Science
Last Modified: 18 Apr 2017 15:13
Selected for GREAT 2016: GREAT b
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/13534

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics