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Large volume metrology process model: Measurability analysis with integration of metrology classification model and feature-based selection model

  • Chun Hung Cheng
  • , Dehong Huo
  • , Xi Zhang
  • , Wei Dai
  • , Paul G. Maropoulos
  • University of Bath

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Aircraft manufacturing industries are looking for solutions in order to increase their productivity. One of the solutions is to apply the metrology systems during the production and assembly processes. Metrology Process Model (MPM) (Maropoulos et al, 2007) has been introduced which emphasises metrology applications with assembly planning, manufacturing processes and product designing. Measurability analysis is part of the MPM and the aim of this analysis is to check the feasibility for measuring the designed large scale components. Measurability Analysis has been integrated in order to provide an efficient matching system. Metrology database is structured by developing the Metrology Classification Model. Furthermore, the feature-based selection model is also explained. By combining two classification models, a novel approach and selection processes for integrated measurability analysis system (MAS) are introduced and such integrated MAS could provide much more meaningful matching results for the operators.

源语言英语
主期刊名Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
出版商Springer Verlag
1013-1026
页数14
ISBN(印刷版)9783642104299
DOI
出版状态已出版 - 2010
活动6th CIRP International Conference on Digital Enterprise Technology, DET 2009 - Hong Kong, 香港特别行政区
期限: 14 12月 200916 12月 2009

出版系列

姓名Advances in Intelligent and Soft Computing
66 AISC
ISSN(印刷版)1867-5662

会议

会议6th CIRP International Conference on Digital Enterprise Technology, DET 2009
国家/地区香港特别行政区
Hong Kong
时期14/12/0916/12/09

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