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 title | Large volume metrology process model: measurability analysis with integration of metrology classification model and feature-based selection model. |
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Authors | Cheng, 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 title | Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. |
Editors | Huang, G., Maropoulos, P. and Mak, K. |
Publisher | Springer |
Place of publication | Berlin |
Series | Advances in Intelligent and Soft Computing |
ISBN | |
Hardcover | 9783642104305 |
Publication dates | |
2010 | |
Publication process dates | |
Deposited | 12 Apr 2010 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-10430-5_78 |
Language | English |
https://repository.mdx.ac.uk/item/827v7
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