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

Book chapter


Cheng, C., Huo, D., Xhang, X., Dai, W. and Maropoulos, P. 2010. Large volume metrology process model: measurability analysis with integration of metrology classification model and feature-based selection model. in: Huang, G., Maropoulos, P. and Mak, K. (ed.) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Berlin Springer.
Chapter titleLarge volume metrology process model: measurability analysis with integration of metrology classification model and feature-based selection model.
AuthorsCheng, C., Huo, D., Xhang, X., Dai, W. and Maropoulos, P.
Abstract

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.

Book titleProceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology.
EditorsHuang, G., Maropoulos, P. and Mak, K.
PublisherSpringer
Place of publicationBerlin
SeriesAdvances in Intelligent and Soft Computing
ISBN
Hardcover9783642104305
Publication dates
Print2010
Publication process dates
Deposited12 Apr 2010
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-10430-5_78
LanguageEnglish
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